Many of you got upset when I mentioned the possibility that parents use smart phone software to control the social media usage of their kids. There was an outcry about how badly those systems work (is that endogenous?). But that is missing the point.
If you wish to limit social media usage, mandate that the phone companies install such software and make it more effective. Or better yet commission or produce a public sector app to do the same, a “public option” so to speak. Parents can then download such an app on the phone of their children, or purchase the phone with the app, and manipulate it as they see fit.
If you do not think government is capable of doing that, why think they are capable of running an effective ban for users under the age of sixteen? Maybe those apps can be hacked but we all know the “no fifteen year olds” solution can be hacked too, for instance by VPNs or by having older friends set up the account.
My proposal has several big advantages:
1. It keeps social media policy in the hands of the parents and away from the government.
2. It does not run the risk of requiring age verification for all users, thus possibly banishing anonymous writing from the internet.
3. The government does not have to decide what constitutes a “social media site.”
Just have the government commission a software app that can give parents the control they really might want to have. I am not myself convinced by the market failure charges here, but I am very willing to allow a public option to enter the market.
The fact that this option occasions so little interest from the banners I find highly indicative.
The post Think through the situation one step further appeared first on Marginal REVOLUTION.
Iran is slowly emerging from the most severe communications blackout in its history and one of the longest in the world. Triggered as part of January’s government crackdown against citizen protests nationwide, the regime implemented an internet shutdown that transcends the standard definition of internet censorship. This was not merely blocking social media or foreign websites; it was a total communications shutdown.
Unlike previous Iranian internet shutdowns where Iran’s domestic intranet—the National Information Network (NIN)—remained functional to keep the banking and administrative sectors running, the 2026 blackout disrupted local infrastructure as well. Mobile networks, text messaging services, and landlines were disabled—even Starlink was blocked. And when a few domestic services became available, the state surgically removed social features, such as comment sections on news sites and chat boxes in online marketplaces. The objective seems clear. The Iranian government aimed to atomize the population, preventing not just the flow of information out of the country but the coordination of any activity within it.
This escalation marks a strategic shift from the shutdown observed during the “12-Day War” with Israel in mid-2025. Then, the government primarily blocked particular types of traffic while leaving the underlying internet remaining available. The regime’s actions this year entailed a more brute-force approach to internet censorship, where both the physical and logical layers of connectivity were dismantled.
The ability to disconnect a population is a feature of modern authoritarian network design. When a government treats connectivity as a faucet it can turn off at will, it asserts that the right to speak, assemble, and access information is revocable. The human right to the internet is not just about bandwidth; it is about the right to exist within the modern public square. Iran’s actions deny its citizens this existence, reducing them to subjects who can be silenced—and authoritarian governments elsewhere are taking note.
The current blackout is not an isolated panic reaction but a stress test for a long-term strategy, say advocacy groups—a two-tiered or “class-based” internet known as Internet-e-Tabaqati. Iran’s Supreme Council of Cyberspace, the country’s highest internet policy body, has been laying the legal and technical groundwork for this since 2009.
In July 2025, the council passed a regulation formally institutionalizing a two-tiered hierarchy. Under this system, access to the global internet is no longer a default for citizens, but instead a privilege granted based on loyalty and professional necessity. The implementation includes such things as “white SIM cards“: special mobile lines issued to government officials, security forces, and approved journalists that bypass the state’s filtering apparatus entirely.
While ordinary Iranians are forced to navigate a maze of unstable VPNs and blocked ports, holders of white SIMs enjoy unrestricted access to Instagram, Telegram, and WhatsApp. This tiered access is further enforced through whitelisting at the data center level, creating a digital apartheid where connectivity is a reward for compliance. The regime’s goal is to make the cost of a general shutdown manageable by ensuring that the state and its loyalists remain connected while plunging the public into darkness. (In the latest shutdown, for instance, white SIM holders regained connectivity earlier than the general population.)
The technical architecture of Iran’s shutdown reveals its primary purpose: social control through isolation. Over the years, the regime has learned that simple censorship—blocking specific URLs—is insufficient against a tech-savvy population armed with circumvention tools. The answer instead has been to build a “sovereign” network structure that allows for granular control.
By disabling local communication channels, the state prevents the “swarm” dynamics of modern unrest, where small protests coalesce into large movements through real-time coordination. In this way, the shutdown breaks the psychological momentum of the protests. The blocking of chat functions in nonpolitical apps (like ridesharing or shopping platforms) illustrates the regime’s paranoia: Any channel that allows two people to exchange text is seen as a threat.
The United Nations and various international bodies have increasingly recognized internet access as an enabler of other fundamental human rights. In the context of Iran, the internet is the only independent witness to history. By severing it, the regime creates a zone of impunity where atrocities can be committed without immediate consequence.
Iran’s digital repression model is distinct from, and in some ways more dangerous than, China’s “Great Firewall.” China built its digital ecosystem from the ground up with sovereignty in mind, creating domestic alternatives like WeChat and Weibo that it fully controls. Iran, by contrast, is building its controls on top of the standard global internet infrastructure.
Unlike China’s censorship regime, Iran’s overlay model is highly exportable. It demonstrates to other authoritarian regimes that they can still achieve high levels of control by retrofitting their existing networks. We are already seeing signs of “authoritarian learning,” where techniques tested in Tehran are being studied by regimes in unstable democracies and dictatorships alike. The most recent shutdown in Afghanistan, for example, was more sophisticated than previous ones. If Iran succeeds in normalizing tiered access to the internet, we can expect to see similar white SIM policies and tiered access models proliferate globally.
The international community must move beyond condemnation and treat connectivity as a humanitarian imperative. A coalition of civil society organizations has already launched a campaign calling for “direct-to-cell” (D2C) satellite connectivity. Unlike traditional satellite internet, which requires conspicuous and expensive dishes such as Starlink terminals, D2C technology connects directly to standard smartphones and is much more resilient to infrastructure shutdowns. The technology works; all it requires is implementation.
This is a technological measure, but it has a strong policy component as well. Regulators should require satellite providers to include humanitarian access protocols in their licensing, ensuring that services can be activated for civilians in designated crisis zones. Governments, particularly the United States, should ensure that technology sanctions do not inadvertently block the hardware and software needed to circumvent censorship. General licenses should be expanded to cover satellite connectivity explicitly. And funding should be directed toward technologies that are harder to whitelist or block, such as mesh networks and D2C solutions that bypass the choke points of state-controlled ISPs.
Deliberate internet shutdowns are commonplace throughout the world. The 2026 shutdown in Iran is a glimpse into a fractured internet. If we are to end countries’ ability to limit access to the rest of the world for their populations, we need to build resolute architectures. They don’t solve the problem, but they do give people in repressive countries a fighting chance.
This essay originally appeared in Foreign Policy.

NASA announced major changes to its Artemis lunar architecture, adding a test flight of lunar landers in low Earth orbit while canceling planned upgrades to the Space Launch System.
The post NASA revises plans for future Artemis missions, cancels upgrades to SLS appeared first on SpaceNews.

The failure of a propellant tank during testing in January will delay the first launch of Rocket Lab’s Neutron rocket to at least the fourth quarter of this year.
The post Rocket Lab delays Neutron debut to late 2026 appeared first on SpaceNews.

China will begin its first one-year duration astronaut mission this year, while the first international astronaut will make a short visit to Tiangong space station.
The post China set for its first one-year human spaceflight mission, confirms Pakistani astronaut flight appeared first on SpaceNews.
Peru has increased its squid catch limit. The article says “giant squid,” but they can’t possibly mean that.
As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered.
Although I’m optimistic that AI will design better drug candidates, this alone cannot ensure “therapeutic abundance,” for a few reasons. First, because the history of drug development shows that even when strong preclinical models exist for a condition, like osteoporosis, the high costs needed to move a drug through trials deters investment — especially for chronic diseases requiring large cohorts. And second, because there is a feedback problem between drug development and clinical trials. In order for AI to generate high-quality drug candidates, it must first be trained on rich, human data; especially from early, small-n studies.
…Recruiting 1000 patients across 10 sites takes time; understanding and satisfying unclear regulatory requirements is onerous and often frustrating; and shipping temperature-sensitive vials to research hospitals across multiple states takes both time and money.
…For many diseases, however, the relevant endpoints take a very long time to observe. This is especially true for chronic conditions, which develop and progress over years or decades. The outcomes that matter most — such as disability, organ failure, or death — take a long time to measure in clinical trials. Aging represents the most extreme case. Demonstrating an effect on mortality or durable healthspan would require following large numbers of patients for decades. The resulting trial sizes and durations are enormous, making studies extraordinarily expensive. This scale has been a major deterrent to investment in therapies that target aging directly.
Here is more from Asimov Press and Ruxandra Teslo.
The post AI Won’t Automatically Accelerate Clinical Trials appeared first on Marginal REVOLUTION.
Financial responsibility often carries meaning beyond the individual. Supporting family, building stability, investing wisely, and planning for the future are values deeply embedded in many households. Yet rising living costs, market volatility, student loans, mortgages, and everyday expenses have created new forms of financial tension.
In this environment, digital gambling platforms have become part of the broader economic landscape. Online betting, interactive slot rooms, live dealer tables, and competitive welcome bonuses are no longer niche entertainment. They are integrated into mobile culture, streaming media, and everyday financial conversations.
Understanding how financial pressure interacts with iGaming is not about blame. It is about clarity.
The modern U.S. economy is defined by speed. Payments move instantly. Investments shift in seconds. Entertainment is on demand. Gambling platforms mirror that structure.
A modest deposit can activate a matched bonus. A few calculated wagers can create short-term momentum. For players navigating tight budgets, that possibility can feel empowering.
This is where financial pressure becomes economically relevant. Tension increases attention. Attention drives engagement. Engagement fuels platform revenue.
That dynamic does not automatically imply harm. It simply highlights how expectation and probability intersect.
For Greek American players who value strategic thinking, the key question becomes: how do you participate without allowing financial stress to dictate decisions?
Education changes outcomes. That is where streaming-based aggregators enter the picture.
A comparison hub such as slothub34.com does not operate gambling services or issue promotional credits. Instead, it provides structured visibility into casino bonuses, betting incentives, slot mechanics, live dealer formats, and wagering conditions across multiple operators. Streamers demonstrate real-time gameplay sessions, volatility patterns, bonus triggers, and bankroll movement, allowing viewers to see how platforms function before depositing funds.
This model serves a practical purpose. It reduces reliance on marketing language and increases exposure to actual gameplay behavior. When viewers observe how welcome offers interact with wagering requirements or how different betting environments affect balance swings, they gain context.
Financial pressure loses influence when information increases.
Licensed online casinos design their ecosystems carefully. Welcome packages, reload incentives, and loyalty rewards are structured to encourage participation while maintaining profitability.
When a platform like SlotsHub Skills Casino promotes competitive betting bonuses tied to slot participation or table wagering credits, it highlights opportunity. For experienced players, such offers can extend playtime and provide strategic flexibility. The value depends on the rollover structure, maximum wager limits during bonus use, and withdrawal policies.
Understanding these mechanics matters. A promotion is not free capital; it is conditional leverage.
The difference between entertainment and financial strain often comes down to how clearly those conditions are understood before play begins.
Beyond bonus structures, gameplay behavior itself reveals important insights.
Within streamed review sessions of platforms such as SlotsHub Skills Casino, attention shifts from advertising to actual performance. Viewers can observe how volatility impacts balance fluctuations, how often special features activate, and how session pacing influences bankroll sustainability.
This transparency reframes risk. Instead of imagining potential outcomes, players see statistical behavior unfold in real time. That exposure encourages more disciplined expectations.
For members of the Greek community in the U.S., who often approach business decisions analytically, this format aligns with familiar principles: research first, commit second.
Financial pressure amplifies uncertainty. Clear answers reduce it.
Short-term gains are possible, but consistent long-term income is statistically unlikely for casual participants. Online wagering is built around probability models that favor the operator over time. Treating it as entertainment rather than income strategy protects financial stability.
Focus on effective value, not headline percentages. Examine wagering multipliers, eligible titles, time limits, and withdrawal caps. A smaller, transparent offer may provide more realistic utility than a large bonus with restrictive terms.
Set fixed deposit limits before logging in. Separate entertainment funds from essential living expenses. Use cooling-off tools when available. Avoid increasing bet size to recover losses. Financial discipline should remain independent of session results.
Financial tension is a reality in modern America. It influences investment decisions, career moves, and consumption habits. In digital gambling environments, that same pressure can increase emotional participation.
However, information shifts the equation.
Streaming comparison platforms create distance between marketing promise and actual structure. Players who observe mechanics, compare wagering terms, and evaluate multiple operators gain perspective. They replace urgency with analysis.
Financial pressure does not need to become a revenue engine for impulsive decisions. With structured research, controlled budgeting, and clear expectations, participation in online betting environments can remain what it is designed to be: regulated digital entertainment.
For Greek American players navigating opportunity in the United States, the advantage has always been knowledge, discipline, and community conversation. Those principles apply online as much as anywhere else.
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Across generations, financial discipline has been treated not merely as a habit, but as a core value. Traditions of business ownership, careful investment, and strategic decision-making highlight a deep awareness of risk and reward. At the same time, modern digital environments introduce subtle influences that operate below conscious awareness.
Online gambling platforms, live dealer rooms, slot interfaces, and competitive welcome bonuses are not only forms of entertainment. They are structured ecosystems shaped by behavioral economics.
Understanding how temptation works in iGaming is not about fear. It is about awareness.
Behavioral economics teaches us that people do not always make purely rational choices. Decisions are shaped by context, presentation, timing, and emotional triggers.
In digital betting environments, several factors interact at once:
These mechanics are not accidental. They are part of a design strategy built to sustain engagement.
For Greek players in the USA comparing platforms, recognizing these patterns changes the experience. Instead of reacting emotionally to a headline offer, they can evaluate structure.
A streaming-based comparison hub such as slothub33.com provides visibility into real casino bonuses, betting incentives, slot volatility, live dealer formats, and wagering conditions across multiple operators. Rather than operating a gambling service directly, the platform allows viewers to watch real-time sessions, observe bonus triggers, and analyze how bankroll movement unfolds during actual gameplay.
Seeing mechanics in action reduces guesswork.
One of the strongest behavioral drivers in gambling environments is the near-miss effect. When a slot display shows two matching symbols and the third lands just above the payline, the brain processes it differently from a total loss. Research in behavioral psychology shows that near-misses activate reward-related neural pathways, even though the financial outcome is the same as any other non-winning spin.
This mechanism keeps attention engaged.
When players watch streamed sessions reviewing platforms such as SlotsHub Live Skillz Casino and its slot-based betting promotions or table wagering bonuses, they can observe how often bonus features activate and how frequently near-miss patterns appear. Real-time demonstration provides context that static advertising cannot.
For disciplined players, context reduces emotional bias.
Another core principle of behavioral economics is variable reinforcement. When outcomes are unpredictable but potentially rewarding, engagement increases. This is the same principle that drives social media notifications and investment speculation.
In online gambling, unpredictable payouts combined with fast play cycles create momentum. A small win resets confidence. A bonus round extends session time. A reload offer arrives at the right psychological moment.
Financial pressure can amplify these effects. Rising living costs in the United States — housing, insurance, healthcare, and education — create stress. Under stress, people often seek opportunities that promise change.
The key distinction is between structured entertainment and financial expectation.
Greek American players, known for approaching opportunity strategically, benefit from separating these categories clearly.
Welcome packages and promotional incentives can be valuable tools when understood properly. A deposit match tied to slot participation or betting credits may increase playtime and exploration. But behavioral economics warns about framing effects.
A 100% bonus sounds like “extra money.” In reality, it is conditional credit governed by rollover requirements and time restrictions.
When reviewing operators like SlotsHub Live Skillz Casino and its competitive welcome offers connected to slot wagering or live table action, experienced users analyze effective value rather than headline size. Streamed breakdowns of terms and conditions reveal whether an offer realistically aligns with player strategy.
Clarity weakens temptation.
Temptation becomes manageable when questions are addressed directly.
It does not change probability, but it improves expectation management. Observing volatility levels and bonus frequency helps players choose formats aligned with their risk tolerance.
Not necessarily. A moderate incentive with transparent rollover rules may be more practical than a large offer with restrictive wagering multiples. Comparison research reduces impulsive deposits.
Set fixed deposit and loss limits before starting. Avoid increasing bet size after consecutive losses. Treat each session as pre-budgeted entertainment, not income recovery.
Behavioral economics does not suggest that players lack discipline. It shows that environment shapes behavior.
Online gambling platforms are carefully engineered digital systems. Fast registration, seamless payment processing, personalized incentives, and visual reinforcement are designed to sustain activity.
Streaming comparison platforms introduce balance. By observing multiple operators, analyzing slot volatility, reviewing live dealer pacing, and comparing bonus conditions across the market, players gain distance from impulse.
For the Greek community in the United States, where entrepreneurship and calculated risk-taking are cultural strengths, awareness becomes an advantage.
Temptation does not disappear. But when mechanics are visible, probabilities understood, and budgets controlled, participation becomes intentional rather than reactive.
Behavioral economics explains why digital betting environments are compelling. Informed comparison and disciplined budgeting determine whether that pull becomes entertainment or financial strain.
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In a digital economy built on speed and stimulation, attention has become one of the most valuable assets. Every modern platform competes for it — streaming services, trading apps, social networks, and online gambling environments alike. In environments where financial discipline and strategic thinking serve as guiding principles, understanding how attention functions within digital betting spaces becomes less a choice and more a necessity.
One of the most influential psychological forces shaping online gambling behavior is the near-miss effect.
A near-miss happens when the outcome appears just short of success. Two jackpot symbols align. The third stops one position away. A bonus feature animation builds tension before narrowly missing activation.
Mathematically, the result is identical to any other non-winning round. Psychologically, it is not.
Behavioral research shows that near-misses stimulate parts of the brain associated with reward processing. Instead of discouraging continuation, they often increase motivation. The mind interprets the event as proximity to success rather than as loss.
In digital slot environments and live betting formats at WinAirlines Casino, immersive graphics, rapid spin cycles, and layered bonus structures amplify that sensation. The experience feels dynamic and forward-moving, even when outcomes remain governed by probability.
Understanding that distinction is critical.
Online gambling platforms are designed around short feedback loops. Spin. Result. Animation. Reset. The pace is intentional. Fast cycles maintain engagement and minimize interruption.
This rhythm mirrors the broader attention economy. The shorter the cycle, the stronger the immersion. When near-miss patterns are integrated into that rhythm, emotional continuity deepens.
Players exploring winairlines-gr.com, where casino bonuses, wagering formats, slot libraries, and live dealer environments are presented in a seamless digital interface, enter a space optimized for engagement. Competitive welcome offers and structured promotional incentives add another layer of momentum.
The system is not random chaos. It is structured design.
Another principle closely tied to the near-miss effect is variable reinforcement. When rewards arrive unpredictably, participation intensifies. This is the same mechanism that drives engagement in financial markets and social platforms.
In online betting, unpredictability is part of the core experience. A small win resets confidence. A bonus round extends session time. A narrow miss sustains anticipation. Each outcome feeds the next decision.
At WinAirlines Casino, structured betting incentives and promotional bonuses tied to slot participation or live table action can extend early sessions. When approached with planning and clear budgeting, these tools enhance entertainment value. Without structure, however, emotional interpretation can replace rational analysis.
For many in the Greek American community, separating emotion from calculation is second nature in business and investment. Applying that same discipline inside digital gambling environments transforms the experience.
The most important insight from behavioral economics is simple: environment shapes perception. Interfaces guide focus. Sound design reinforces outcomes. Visual animation amplifies anticipation.
But awareness restores balance.
Recognizing that a near-miss is not progress but probability prevents misinterpretation. Understanding volatility levels clarifies why outcomes fluctuate. Observing session pacing reveals how quickly bankroll movement can accelerate.
Online gambling platforms operate within a competitive and regulated U.S. market. Their goal is engagement. The player’s goal should be clarity.
For Greek Americans navigating opportunity in the United States, advantage has always come from preparation, research, and measured risk-taking. The same principle applies here. When attention is consciously managed, participation becomes intentional rather than reactive.
The near-miss effect explains why certain moments feel powerful. The attention economy explains why they feel immediate. Informed players understand both — and choose their pace accordingly.
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For players originally from the United Kingdom who now live in the United States, gambling has always carried a dual identity. It is entertainment, but it is also mathematics. Whether it is a weekend wager, a spin on a digital reel, or a live dealer session, every decision sits somewhere between excitement and calculation.
In today’s regulated online environment, understanding that balance is no longer optional. It is essential.
Online platforms combine advanced software, probability structures, and immersive design to create engaging experiences. But beneath the visuals and promotional banners lies a consistent truth: every outcome is governed by mathematical models. The difference between enjoyment and frustration often comes down to how well players understand that structure.
At the core of every online gambling environment is probability. Slot outcomes are determined by random number generators. Table formats operate within fixed statistical frameworks. Long-term returns are calculated through defined payout percentages, often referred to as RTP (Return to Player).
Short-term results can vary dramatically. A player may experience a profitable session within minutes. Another may encounter a losing streak despite consistent strategy. This variability is not manipulation; it is variance.
Variance creates the perception of opportunity. It also creates the illusion of patterns where none exist.
For UK-born players accustomed to the structured and regulated gambling culture of Britain, adapting to the U.S. online environment means recognizing how these same principles apply digitally. Probability does not change based on geography. The mathematics remains constant.
If chance defines the framework, calculation defines control.
Calculation in online gambling is not about predicting outcomes. It is about managing exposure. This includes:
When exploring platforms such as rock-star-casino.com, where competitive casino bonuses, wagering opportunities, slot titles, and live dealer formats are presented within a streamlined interface, players benefit from approaching each offer analytically. A generous welcome promotion may extend playtime, but only if the rollover structure is clearly understood.
Calculation transforms excitement into structured entertainment.
The tension between chance and calculation becomes visible during emotionally charged sessions. A near win may feel like progress. A short streak of success may create overconfidence. Promotional incentives can encourage extended participation.
Within the broader online gambling landscape, platforms like Rockstar Casino and its casino bonuses, betting promotions, and immersive slot experiences provide a dynamic environment. These features are designed to engage players and remain competitive in a regulated market. The responsibility to interpret those features rationally, however, remains with the player.
Understanding house edge, payout percentages, and volatility profiles prevents emotional momentum from overriding discipline.
The goal is not to eliminate excitement. It is to ensure excitement does not dictate financial decisions.
One of the most misunderstood elements in online gambling is volatility. High-volatility formats may produce larger payouts but less frequent wins. Lower-volatility options tend to offer smaller but more consistent returns.
Neither is inherently better. The difference lies in expectation management.
Players who understand volatility are less likely to misinterpret normal statistical swings as signals. In competitive environments like Rockstar Casino, where live dealer wagering and digital reel formats coexist alongside structured promotional offers, knowing how volatility influences session length can prevent unnecessary risk escalation.
Expectation is the foundation of balance.
British gambling culture traditionally emphasizes regulation, transparency, and responsible participation. Living in the United States introduces a faster digital ecosystem, broader state-level regulation differences, and aggressive competition among platforms.
For expatriates navigating both worlds, balance becomes a strategic asset.
The American online gambling market offers convenience, innovation, and accessibility. But speed can amplify decision-making pressure. Fast deposits, quick results, and immediate bonus activation compress the timeline between impulse and action.
Maintaining UK-style discipline within a U.S. digital framework creates stability.
Online gambling is designed to be engaging. Visual effects, loyalty rewards, leaderboard features, and promotional campaigns contribute to immersion. At rock-star-casino.com, structured wagering options, competitive bonus incentives, and diverse gaming formats are part of that experience.
Structured enjoyment means defining limits before logging in. It means understanding that every spin and every hand exists within probability. It means recognizing that long-term profitability is statistically unlikely for casual players.
When chance and calculation operate together, gambling remains entertainment. When calculation disappears, volatility feels unpredictable and stressful.
The balance between chance and calculation is not abstract theory. It is practical behavior.
Chance provides possibility. Calculation provides structure. Together, they define responsible participation.
For UK players living in the USA, combining cultural discipline with digital awareness offers an advantage. Knowledge of probability, awareness of volatility, and careful evaluation of casino bonuses and wagering conditions create clarity.
Online gambling will always contain uncertainty. That is its nature. But uncertainty does not require impulsivity.
When calculation supports chance, the experience becomes controlled, informed, and sustainable.
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The pursuit of opportunity is often deeply personal. Building restaurants, shipping businesses, retail shops, and professional careers requires a clear understanding of both risk and reward. In today’s digital environment, that same mindset frequently extends to online betting platforms, interactive slot rooms, live dealer tables, and welcome bonus packages that promise a strong beginning.
The idea feels simple. A reasonable deposit, a competitive match offer, a few well-timed spins, and the possibility of meaningful winnings appears within reach. Yet behind that optimism stands what economists describe as the “economy of hope” — a system where aspiration itself becomes part of the product.
Online gambling platforms are structured to create immediacy. Registration is fast. Payments are streamlined. Promotional credits are activated instantly. Mobile access ensures that wagering fits into busy schedules.
For Greek players in the USA comparing platforms through structured review hubs, the experience becomes even more organized. A trusted comparison source like slothub38.com allows users to evaluate competitive casino bonuses, betting incentives, slot selections, and reward systems in one place. Instead of reacting to marketing headlines, players can examine wagering requirements, payout terms, and loyalty mechanics side by side.
This transparency creates a sense of control. It feels less like guesswork and more like informed decision-making.
At the same time, anticipation remains powerful. Near wins, progressive jackpots, time-sensitive promotions, and leaderboard competitions stimulate excitement. Hope becomes tangible.
Modern online betting environments are carefully designed ecosystems. They combine entertainment, behavioral psychology, and financial structure.
Welcome offers, reload incentives, and VIP programs are central tools used by licensed online casinos to attract and retain players. These promotions can reduce the initial financial commitment and extend playtime — but they always come with specific terms and wagering conditions.
A streaming comparison platform such as slothub38.com does not operate a gambling site or issue bonuses directly. Instead, its role is analytical and observational. Streamers demonstrate slot mechanics, volatility patterns, bonus round structures, and payout behavior in real time, helping viewers understand how different games actually function before committing their own funds.
When reviewing platforms like SlotsHub Casino, experienced players often look beyond headline bonus percentages and evaluate how deposit matches apply to slot play, how wagering credits interact with table betting, and what practical limitations may affect withdrawals. Seeing these mechanics demonstrated live — rather than relying solely on promotional copy — allows players to make more informed decisions.
For many in the Greek American community, this distinction matters. A comparison hub provides visibility and education, not financial promises. It shifts the focus from emotional reaction to structured evaluation.
Unlike traditional gaming venues, digital platforms operate around the clock. A quick spin after work or a live dealer session on a weekend evening is always available.
This accessibility is convenient, particularly for Greek American professionals balancing demanding schedules. But convenience can blur limits. Without predefined boundaries, occasional entertainment can slowly become habitual spending.
The key difference between sustainable play and financial strain often lies in structure.
The regulated U.S. gambling landscape continues to expand across states. For Greek players living in eligible jurisdictions, options are abundant. Each platform promotes attractive features: exclusive slot tournaments, enhanced odds, cashback rewards, and seasonal promotions.
Comparison-driven research changes the equation. Instead of reacting emotionally to a single offer, players can analyze:
Within streaming-based reviews of platforms like SlotsHub Casino, audience attention often shifts away from promotional messaging and toward actual gameplay mechanics. Streamers demonstrate how slot titles behave at different bet levels, how frequently bonus features are triggered, how volatility affects balance swings, and how a bankroll moves during a live session.
This format allows viewers to observe real-time performance rather than rely on marketing descriptions. By comparing multiple operators through structured live sessions, the focus moves from emotional expectation to measurable risk structure and gameplay dynamics.
The belief in quick financial relief rarely appears in isolation. Rising living costs, fluctuating markets, and economic uncertainty influence perception. In periods of financial pressure, the idea that a well-timed wager might create breathing room can feel compelling.
Digital design reinforces that belief. Animated wins, celebratory sounds, dynamic odds displays, and leaderboard rankings stimulate momentum. The interface makes progress feel immediate, even when outcomes remain statistically balanced over time.
Yet sustainable participation requires perspective. Bankroll management, deposit limits, session time caps, and a clear separation between entertainment funds and essential expenses are not optional safeguards — they are foundational.
Online wagering can be engaging and social. It becomes problematic only when hope replaces planning.
When evaluating online betting platforms, comparing casino bonuses, or deciding how much to deposit, several practical concerns tend to surface.
Short-term wins are absolutely possible. Variance can favor the player during specific sessions, especially in lower-volatility slot titles or strategic table play. Over time, however, house edge mechanics apply. For most casual participants, long-term profitability is unlikely. Viewing digital wagering as paid entertainment rather than income generation creates healthier expectations.
They can be valuable if assessed carefully. A well-structured match offer increases playtime and provides room to explore different gaming formats. The real measure of value depends on rollover requirements, eligible titles, and withdrawal restrictions. Comparing detailed terms allows players to determine whether a promotion genuinely aligns with their strategy.
Predefined limits are critical. Setting a fixed entertainment budget before logging in prevents emotional decisions mid-session. Once that amount is reached, stepping away protects both finances and mindset. Many regulated platforms offer deposit limits and cooling-off features that reinforce discipline.
Hope is not inherently negative. In fact, it drives entrepreneurship, investment, and ambition within the Greek American community. The challenge arises when hope is disconnected from structure.
Online gambling platforms, promotional credits, slot tournaments, and live betting environments are part of modern digital entertainment. They are not shortcuts to guaranteed income. They are structured ecosystems built around probability and engagement.
When players approach bonuses analytically, review terms carefully, and maintain strict budgeting, the illusion fades. What remains is informed participation.
The economy of hope does not disappear. It evolves. Instead of promising effortless wealth, it becomes an invitation to engage responsibly, compare wisely, and treat digital wagering as entertainment supported by clear financial boundaries.
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I kind of want to write about AI every day these days, but I’ve got to pace myself so you all don’t get overloaded. So here’s a roundup post with only one entry about AI. Just one, I promise!
Well, OK, there’s also a podcast episode about AI. I went on the truly excellent Justified Posteriors podcast to talk about the economics of AI with Andrey Fradkin and Seth Benzell. It was truly a joy to do a podcast with people who know economics at a deep level!
Anyway, on to this week’s roundup.
Erik Brynjolfsson believes that AI caused a productivity boom last year:
Data released this week offers a striking corrective to the narrative that AI has yet to have an impact on the US economy as a whole…[N]ew figures reveal that total payroll growth [in 2025] was revised downward by approximately 403,000 jobs. Crucially, this downward revision occurred while real GDP remained robust, including a 3.7 per cent growth rate in the fourth quarter. This decoupling — maintaining high output with significantly lower labour input — is the hallmark of productivity growth…My own updated analysis suggests a US productivity increase of roughly 2.7 per cent for 2025. This is a near doubling from the sluggish 1.4 per cent annual average that characterised the past decade…
Micro-level evidence further supports this structural shift. In our work on the employment effects of AI last year, Bharat Chandar, Ruyu Chen and I identified a cooling in entry-level hiring within AI-exposed sectors, where recruitment for junior roles declined by roughly 16 per cent while those who used AI to augment skills saw growing employment. This suggests companies are beginning to use AI for some codified, entry-level tasks.
But Martha Gimbel says not so fast:
There are three reasons why what we are seeing may not actually be a real jump in productivity—or an irreconcilable gap between economic growth and job growth…
First, productivity is noisy data…We shouldn’t overreact to one or even two quarters of data. Looking over several quarters, we can see that productivity growth has averaged about 2.2%. That is strong, but not unusually so…
Second…for GDP growth in 2025, we’re still waiting for [revisions to come in]. Note that any comparison of jobs data and GDP data for 2025 is comparing revised jobs data to unrevised and incomplete GDP data…
Third…GDP data has been weird in 2025 partly because of policy and behavioral swings around trade. If you look at job growth relative to private-domestic final purchases…[job growth] is still low, but not as low as it is relative to the GDP data…
[E]ven if you trust the productivity data…there are other explanations besides AI…One reason job growth in 2025 was so low was because of changes in immigration policy. If the people being removed from the labor force were lower productivity workers, that will show up as an increase in productivity even though the productivity of the workers who remain behind has not changed…
Second, if you look at the productivity data, it appears that much of the boost is coming from capital utilization due to increased productive investment…[A]t this point it is people investing in AI not people becoming more productive by using AI.
Meanwhile, in January, Alex Imas had a very good post about AI and productivity:
Alex gathers a bunch of studies showing that AI improves productivity in most tasks. But in the real world, productivity improvements from new technology famously come with a lag, as companies retool their business models around the new tech. For a while, productivity actually falls, then starts to rise once the new business models start working. This is called the productivity J-curve. Brynjolfsson thinks we’ve hit the rising part of the J-curve, but Alex thinks we haven’t:
At the macro level, these [micro] gains [from AI] have not yet convincingly shown up in aggregate productivity statistics. While some studies show a slow down in hiring for AI-exposed jobs—which suggests that individual workers are either becoming more productive or tasks are being automated—the extent and timing of these dynamics are currently being debated. Other studies have found no changes in hours worked or wages earned based on AI use.
Also, Brynjolfsson thinks that job loss in AI-exposed occupations is a sign of growing productivity. But that may not be the case; new technologies can grow productivity while increasing hiring, by creating new tasks for humans to do. A new survey by Yotzov et al. finds that although corporate executives in the U.S., Australia, and Germany expect AI to cut employment, employees themselves expect it to provide new job opportunities:
We survey almost 6000 CFOs, CEOs and executives from stratified firm samples across the US, UK, Germany and Australia…[A]round 70% of firms actively use AI…[F]irms report little impact of AI over the last 3 years, with over 80% of firms reporting no impact on either employment or productivity…[F]irms predict sizable impacts over the next 3 years, forecasting AI will boost productivity by 1.4%, increase output by 0.8% and cut employment by 0.7%. We also survey individual employees who predict a 0.5% increase in employment in the next 3 years as a result of AI. This contrast implies a sizable gap in expectations, with senior executives predicting reductions in employment from AI and employees predicting net job creation.
And a new study by Aldasoro et al. finds that in Europe, AI adoption seems to be increasing employment at the companies that adopt it:
Our results reveal three key findings. First, AI adoption causally increases labour productivity levels by 4% on average in the EU. This effect is statistically robust and economically meaningful…[T]he 4% gain suggests that AI acts in the short term as a complementary input that enhances efficiency…
Second, and crucially, we find no evidence that AI reduces employment in the short run. While naïve comparisons suggest AI-adopting firms employ more workers, this relationship disappears once we account for selection effects through our instrumental variable approach. The absence of negative employment effects, combined with significant productivity gains, points to a specific mechanism: capital deepening. AI augments worker output – enabling employees to complete tasks faster and make better decisions – without displacing labour. [emphasis mine]
Everyone seems to just assume that AI is a human-remover, and in some cases it is. But overall, it might actually turn out to be complementary to humans, like previous waves of technology; we just don’t know yet. The lesson here is that we don’t really know how technology affects productivity, growth, employment, etc. until we try it and see. The economy is a complex machine that reallocates a lot of stuff in very surprising ways.
So stay tuned…
Update: Here is a good chart from the excellent Greg Ip of the Wall Street Journal:

Also, for what it’s worth, here’s Goldman Sachs:
One of the most fun posts I’ve ever written was about how building high-end housing can reduce rents for lower-income people. I called it “Yuppie Fishtank Theory”:
The basic idea is very simple: If you build nice shiny new places for high earners (“yuppies”), they won’t go try to take over the existing lower-cost housing stock and muscle out the working class.
This is important because a lot of people believe the exact opposite. They think that if you build new market-rate (“luxury”) housing in an area, it’ll attract rich people, cause gentrification, and raise rents.
Over the years, my theory has been proven right — and the “gentrification” theory has been proven wrong — again and again. Here was a roundup I did of the evidence back in 2024:
Now Henry Grabar flags some new evidence that says — surprise, surprise — that Yuppie Fishtank Theory is still true:
A new study lays out exactly how a brand-new building can open up more housing in other, lower-income areas, creating the conditions that enable prices to fall…
In the paper, three researchers looked in extraordinary detail at the effects of a new 43-story condo project in Honolulu…What the researchers found was that the new housing freed up older, cheaper apartments, which, in turn, became occupied by people leaving behind still-cheaper homes elsewhere in the city, and so on…The paper estimates the tower’s 512 units created at least 557 vacancies across the city—with some units…creating as many as four vacancies around town…
To figure this out, the researchers…traced buyers arriving at the new apartments back to their previous homes and then, in some cases, they traced the new occupants of those homes back to prior addresses. The study found that the Central’s new residents left behind houses and apartments that were, on average, 38 percent cheaper, per square foot, than the apartments they moved into.
Yuppie Fishtanks win again!
Cities that are applying Yuppie Fishtank Theory are seeing their rents fall. Here’s a Bloomberg story from December:
Rents got cheaper in several major cities this past year, thanks to an influx of luxury apartment buildings opening their doors and luring tenants to vacate their old homes…New building openings are bringing rents down as wealthy tenants trade up, forcing landlords to drop prices for older apartments. Rents for older units have fallen as much as 11%, and some are now on offer at rates as low as homes that are usually designated as “affordable”…The changed dynamic in the rental market is challenging the idea that luxury housing doesn’t help the broader ecosystem.
Overall, cities that build more housing are seeing lower rents:

At this point, “building housing reduces rent” is as close to a scientific law of the housing market as we’re likely to find.
Build more housing!!
Three years ago, David Oks and Henry Williams wrote a long post claiming that economic development was dead — that poor countries had done great in the post-WW2 decades when they sold raw materials to fast-growing rich countries, but that their growth in the 90s, 00s, and 10s was a bust. That was nonsense, and I wrote a lengthy rebuttal here:
Instead of rehashing that debate, I just want to link to Oks’ latest post, in which he expresses extreme pessimism about global poverty:
He cites a recent post by Max Roser of Our World in Data (the excellent site where I get many of the charts for this blog). Roser notes that extreme poverty — defined as the fraction of people living on less than $3 a day — has declined so much in South Asia, East Asia, and Latin America that it has basically vanished. This leaves Africa as the only region with an appreciable number of extremely poor people left (except for some parts of Central Asia). And since African poverty rates are not declining, and African population is growing much faster than population elsewhere, this means that the number of extremely poor people in the world is set to start rising again:
The first thing to note is that by using this chart, and by making this argument, David Oks directly contradicts his thesis from his 2023 article. In 2023, Oks argued that global development since 1990 had been disappointing; in his new post, Oks argues that poverty reduction in 1990-2024 everywhere outside of Africa was so incredibly successful that it basically went to completion and has nowhere left to go!
Oks’ old post was pessimistic about the entire developing world — South Asia, Latin America, Africa, and so on. In this new post, he retreats to pessimism about Africa alone. This is a significant retreat — it’s an implicit acknowledgement that development was very very real for the billions of poor people who lived outside Africa in 1990.
As for whether Oks is right about Africa, only time will tell. But note that the rising global poverty in the chart above is entirely a forecast. If African growth surprises on the upside — say, from solar power and AI — and African fertility falls faster than expected, then we could see Africa follow in the footsteps of the other regions.
Our goal should be to keep the pessimists embarrassed.
On paper, the U.S. is a lot richer than most other rich countries — including Canada:
In terms of per capita GDP, Canada is poorer than Alabama, America’s poorest state. Canada is a little less unequal than America, so the difference in median incomes between the two countries is smaller — only about 18% higher as of 2021 (though the gap is growing). But that’s still a sizeable gap!
Europeans, Australians, and Canadians who visit America’s disorderly and crime-ridden city centers can sometimes balk at this fact. They instinctively start groping for some reason the numbers must be wrong. But reporters from Canada’s Globe and Mail traveled to Alabama, and discovered that the numbers don’t lie — America really is just a very, very rich place, even compared to other countries. Here are some excerpts from their article:
For eons, Canadians have viewed Alabama as a small state that, save for a few pockets, is dirt poor…For an ego check, The Globe and Mail travelled to the Deep South to understand how this happened. Immediately, it was obvious Alabama is misunderstood. In Huntsville, there are as many Subaru Outbacks as there are pickup trucks, and the geography in Alabama’s two largest metropolitan areas – Birmingham and Huntsville – looks nothing like the historical imagery…
Alabama is also home to five million people…and its economy is booming. The state’s unemployment rate is now just 2.7 per cent, versus 6.5 per cent in Canada, and its major employers include Airbus SE and giant defence contractor Northrop Grumman Corp. The state has also morphed into an auto manufacturing powerhouse with plants from Mercedes-Benz AG, Toyota Motor Corp., Hyundai Motor Co. and more. In 2024, Alabama made nearly as many vehicles as Ontario…
As for Birmingham itself, there’s the beauty of the rolling hills, which deliver stunning fall foliage. And the city’s becoming a foodie hub. A new restaurant, Bayonet, was named one of America’s 50 best restaurants by The New York Times last fall. And despite the bible thumping, Birmingham has a sizable LGBTQ+ community and scored the same as Boston on the Human Rights Campaign’s Municipal Equality Index.
The Globe and Mail article notes that Alabama has a higher poverty rate and lower life expectancy than Canada — and being a newspaper in a progressive country, it fails to mention the much higher crime rate. But the fact is, for most Alabamans, the material standard of living is more comfortable than what prevails in much of Canada.
People who believe America’s wealth is fake need to go there and see for themselves that it’s real.
In general, economists find that immigration’s economic effect on the native born is either positive or zero. But one famous economist, George Borjas, consistently finds negative effects. This makes Borjas beloved of the Trump administration and the nativist movement in general — it’s very common to hear MAGA people cite Borjas in debates.
It’s very odd that one economist keeps getting results about immigration that are so out of whack with what everyone else finds. Well, it turns out that if you look closely at George Borjas’ methodologies, you find a lot of dodgy stuff. I wrote about this several times back during the first Trump administration, when I worked for Bloomberg. Here’s what I wrote in 2015:
[I]n 2015, George Borjas…came out with a shocking claim -- the celebrated [David] Card result [about the Mariel Boatlift not harming American workers], he declared, was completely wrong. Borjas chose a different set of comparison [cities]…He also focused on a very specific subset of low-skilled Miami workers. Unlike Card, Borjas found that the Mariel boatlift immigration surge had a big negative effect on native wages for this vulnerable subgroup.
Now, in relatively short order, Borjas’ startling claim has been effectively debunked. Giovanni Peri and Vasil Yasenov, in a new National Bureau of Economic Research working paper…find that Borjas only got the result that he did by choosing a very narrow, specific set of Miami workers. Borjas ignores young workers and non-Cuban Hispanics -- two groups of workers who should have been among the most affected by competition from the Mariel immigrants. When these workers are added back in, the negative impact that Borjas finds disappears.
But it gets worse. Borjas was so careful in choosing his arbitrary comparison group that his sample of Miami workers was extremely tiny -- only 17 to 25 workers in total. That is way too small of a sample size to draw reliable conclusions. Peri and Yasenov find that when the sample is expanded from this tiny group, the supposed negative effect of immigration vanishes.
All of this leaves Borjas’ result looking very fishy.
And here was a follow-up in 2017:
Recently, Michael Clemens of the Center for Global Development and Jennifer Hunt of Rutgers University found an even bigger problem with Borjas’ study. Clemens and Hunt noted that in 1980, the same year as the Mariel boatlift, the U.S. Census Bureau changed its methods for counting black men with low levels of education. The workers that Borjas finds were hurt by the Mariel immigration include these black men. But because these workers generally have lower wages than those the Census had counted before, Borjas’ finding of a wage drop among this group, the authors claim, was almost certainly a result of the change in measurement.
And here’s what I wrote in 2016:
Borjas has written a book…called “Immigration Economics.”…However, University of California-Berkeley professor David Card and University of California-Davis’ Peri have written a paper critiquing the methods in Borjas’ book. It turns out that the way Borjas and the economists he cites do immigration economics is very, very different from the way other researchers do it.
One big difference is how economists measure the number of immigrants coming into a particular labor market…[I]nstead of using the change in the number of immigrants, Borjas just uses the number of immigrants itself…This creates a number of problems.
Let’s think about a simple example. Suppose there are 90 native-born landscapers in the city of Cleveland, and 10 immigrant landscapers. Suppose that demand for landscapers goes up, because people in Cleveland start buying houses with bigger lawns. That pushes up the wages of landscapers, which will draws 100 more native-born Clevelanders into the landscaping business. But the supply of immigrants is relatively fixed. So the percent of immigrants in the Cleveland landscaping business has gone down, from 10 percent to only 5 percent, even though the number of immigrants in the business has stayed the same.
Borjas will find that the percent of immigrants in the business goes down just as wages go up. But to conclude that native workers’ wages went up because immigration went down would be totally incorrect, because immigration didn’t actually fall! In fact, Borjas’ method is vulnerable to reaching exactly this sort of erroneous conclusion. Card and Peri point out that if you use the more sensible measure, there’s not much correlation between immigrant inflows and native-born workers’ wages and income mobility.
In other words, there’s a clear pattern of Borjas using strange and seemingly inferior methods, and arriving at conclusions that diverge radically from his peers. So I was not exactly surprised when Jiaxin He and Adam Ozimek looked at Borjas’ recent work on H-1B workers also contained some very dodgy methodology:
Borjas’s February 2026 working paper attempted to answer whether H-1B workers earn less than comparable native-born workers by combining data on actual H-1B earnings with American Community Survey data on native workers. The conclusions are negative, with H-1B holders earning 16 percent less. But these findings result from substantial data errors.
…The most significant mistake is a crucial temporal mismatch between his H-1B and native-born samples: the H-1B applications span 2020-2023, while the ACS data covers just 2023.
Nowhere did the paper mention controlling for inflation or wage growth. Given 15.1 percent inflation and an 18.7 percent wage increase for software occupations alone from 2020 to 2023, comparing wages of H-1B workers from 2020 to 2023 to… native-born wages from 2023 only produces negatively biased results that overstates the wage gap…A simple approach is to directly compare the 2023 H-1B observations (FY 2024) to 2023 ACS data. Alternatively, we can use all years but adjust for inflation and convert all years to real 2023 dollars. Both approaches cut the wage gap roughly in half…
The second error stems from controlling for geographic wage drivers using each worker’s PUMA (public use microdata area)…The problem is that Dr. Borjas uses the PUMA where visa holders work alongside the PUMA where native workers live. Consider a native-born software developer working at Google in Mountain View who resides in a cheaper area like Fremont. If residential areas have lower average wages than business districts, this mismatch systematically inflates the apparent native wage and negatively biases the H-1B wage gap.
Another Borjas paper with serious methodological errors, and an anti-immigration conclusion that disappears when you correct the errors? Shocking!
By this point, it should be clear that whether these mistakes are intentional or not, Borjas’ anti-immigration conclusions tend to vanish when the mistakes are corrected. Borjas is not a good source of information on immigration topics; every time someone cites him in a debate, you know they haven’t looked seriously at the literature.
A big tech headline this week is Anthropic (makers of Claude, widely regarded as one of the best LLM platforms) resisting Secretary of Defense Pete Hegseth’s calls to modify their platform in order to enable it to support his commission of war crimes. As has become clear this week, Anthropic CEO Dario Amodei has declined to do so. The administration couches the request as an attempt to use the technology for “lawful purposes”, but given that they’ve also described their recent crimes as legal, this is obviously not a description that can be trusted.
Many people have, understandably, rushed to praise Dario and Anthropic’s leadership for this decision. I’m not so sure we should be handing out a cookie just because someone is saying they’re not going to let their tech be used to cause extrajudicial deaths.
To be clear: I am glad that Dario, and presumably the entire Anthropic board of directors, have made this choice. However, I don’t think we need to be overly effusive in our praise. The bar cannot be set so impossibly low that we celebrate merely refusing to directly, intentionally enable war crimes like the repeated bombing of unknown targets in international waters, in direct violation of both U.S. and international law. This is, in fact, basic common sense, and it’s shocking and inexcusable that any other technology platform would enable a sitting official of any government to knowingly commit such crimes.
We have to hold the line on normalizing this stuff, and remind people where reality still lives. This means we can recognize it as a positive move when companies do the reasonable thing, but also know that this is what we should expect. It’s also good to note that companies may have many reasons that they don’t want to sell to the Pentagon in addition to the obvious moral qualms about enabling an unqualified TV host who’s drunkenly stumbling his way through playacting as Secretary of Defense (which they insist on dressing up as the “Department of War” — another lie).
Being on any federal procurement schedule as a technology vendor is a tedious nightmare. There’s endless paperwork and process, all falling squarely into the types of procedures that a fast-moving technology startup is likely to be particularly bad at completing, with very few staff members having had prior familiarity handling such challenges. Right now, Anthropic handles most of the worst parts of these issues through partners like Amazon and Palantir. Addressing more of these unique and tedious needs for a demanding customer like the Pentagon themselves would almost certainly require blowing up the product roadmap or hiring focus within Anthropic for months or more, potentially delaying the release of cool and interesting features in service of boring (or just plain evil) capabilities that would be of little interest to 99.9% of normal users. Worse, if they have to build these features, it could exhaust or antagonize a significant percentage of the very expensive, very finicky employees of the company.
This is a key part of the calculus for Anthropic. A big part of their entire brand within the tech industry, and a huge part of why they’re appreciated by coders (in addition to the capabilities of their technology), is that they’re the “we don’t totally suck” LLM company. Think of them as “woke-light”. Within tech, as there have been massive waves of rolling layoffs over the last few years, people have felt terrified and unsettled about their future job prospects, even at the biggest tech companies. The only opportunities that feel relatively stable are on big AI teams, and most people of conscience don’t want to work for the ones that threaten kids’ lives or well-being. That leaves Anthropic alone amongst the big names, other than maybe Google. And Google has laid off people at least 17 times in the last three years alone.
So, if you’re Dario, and you want to keep your employees happy, and maintain your brand as the AI company that doesn’t suck, and you don’t want to blow up your roadmap, and you don’t want to have to hire a bunch of pricey procurement consultants, and you can stay focused on your core enterprise market, and you can take the right moral stand? It’s a pretty straightforward decision. It’s almost, I would suggest, an easy decision.
We’ve only allowed ourselves to lower the bar this far because so many of the most powerful voices in Silicon Valley have so completely embraced the authoritarian administration currently in power in the United States. Facebook’s role in enabling the Rohingya genocide truly served as a tipping point in the contemporary normalization of major tech companies enabling crimes against humanity that would have been unthinkable just a few years prior; we can’t picture a world where MySpace helped accelerate the Darfur genocide, because the Silicon Valley tech companies we know about today didn’t yet aspire to that level of political and social control. But there are deeper precedents: IBM provided technology that helped enable the horrors of the holocaust in Germany in the 1940s, and that served as the template for their work implementing apartheid in South Africa in the 1970s. IBM actually bid for the contract to build these products for the South African government. And the systems IBM built were still in place when Elon Musk, Peter Thiel, David Sacks and a number of other Silicon Valley tycoons all lived there during their formative years. Later, as they became the vaunted “PayPal Mafia”, today’s generation of Silicon Valley product managers were taught to look up to them, so it’s no surprise that their acolytes have helped create companies that enable mass persecution and surveillance. But it’s also why one of the first big displays of worker power in tech was when many across the industry stood up against contracts with ICE. That moment was also one of the catalyzing events that drove the tech tycoons into their group chats where they collectively decided that they needed to bring their workers to heel.
And they’ve escalated since then. Now, the richest man in the world, who is CEO of a few of the biggest tech companies, including one of the most influential social networks — and a major defense vendor to the United States government — has been openly inciting civil war for years on the basis of his racist conspiracy theories. The other tech tycoons, who look to him as a role model, think they’re being reasonable by comparison in the fact that they’re only enabling mass violence indirectly. That’s shifted the public conversation into such an extreme direction that we think it’s a debate as to whether or not companies should be party to crimes against humanity, or whether they should automate war crimes. No, they shouldn’t. This isn’t hard.
We don’t have to set the bar this low. We have to remind each other that this isn’t normal for the world, and doesn’t have to be normal for tech. We have to keep repeating the truth about where things stand, because too many people have taken this twisted narrative and accepted it as being real. The majority of tech’s biggest leaders are acting and speaking far beyond the boundaries of decency or basic humanity, and it’s time to stop coddling their behavior or acting as if it’s tolerable. In the meantime, yes, we can note when one has the temerity to finally, finally do the right thing. And then? Let’s get back to work.
Up and to my office, whither several persons came to me about office business. About 11 o’clock, Commissioner Pett and I walked to Chyrurgeon’s Hall (we being all invited thither, and promised to dine there); where we were led into the Theatre; and by and by comes the reader, Dr. Tearne, with the Master and Company, in a very handsome manner: and all being settled, he begun his lecture, this being the second upon the kidneys, ureters, &c., which was very fine; and his discourse being ended, we walked into the Hall, and there being great store of company, we had a fine dinner and good learned company, many Doctors of Phisique, and we used with extraordinary great respect.
Among other observables we drank the King’s health out of a gilt cup given by King Henry VIII. to this Company, with bells hanging at it, which every man is to ring by shaking after he hath drunk up the whole cup. There is also a very excellent piece of the King, done by Holbein, stands up in the Hall, with the officers of the Company kneeling to him to receive their Charter.
After dinner Dr. Scarborough took some of his friends, and I went along with them, to see the body alone, which we did, which was a lusty fellow, a seaman, that was hanged for a robbery. I did touch the dead body with my bare hand: it felt cold, but methought it was a very unpleasant sight.
It seems one Dillon, of a great family, was, after much endeavours to have saved him, hanged with a silken halter this Sessions (of his own preparing), not for honour only, but it seems, it being soft and sleek, it do slip close and kills, that is, strangles presently: whereas, a stiff one do not come so close together, and so the party may live the longer before killed. But all the Doctors at table conclude, that there is no pain at all in hanging, for that it do stop the circulation of the blood; and so stops all sense and motion in an instant.
Thence we went into a private room, where I perceive they prepare the bodies, and there were the kidneys, ureters [&c.], upon which he read to-day, and Dr. Scarborough upon my desire and the company’s did show very clearly the manner of the disease of the stone and the cutting and all other questions that I could think of … [Poor Mr. Wheatley could not even stand a medical lecture on physiology. D.W.] [and the manner of the seed, how it comes into the yard, and – L&M] how the water [comes] into the bladder through the three skins or coats just as poor Dr. Jolly has heretofore told me.
Thence with great satisfaction to me back to the Company, where I heard good discourse, and so to the afternoon Lecture upon the heart and lungs, &c., and that being done we broke up, took leave, and back to the office, we two, Sir W. Batten, who dined here also, being gone before.
Here late, and to Sir W. Batten’s to speak upon some business, where I found Sir J. Minnes pretty well fuddled I thought: he took me aside to tell me how being at my Lord Chancellor’s to-day, my Lord told him that there was a Great Seal passing for Sir W. Pen, through the impossibility of the Comptroller’s duty to be performed by one man; to be as it were joynt-comptroller with him, at which he is stark mad; and swears he will give up his place, and do rail at Sir W. Pen the cruellest; he I made shift to encourage as much as I could, but it pleased me heartily to hear him rail against him, so that I do see thoroughly that they are not like to be great friends, for he cries out against him for his house and yard and God knows what. For my part, I do hope, when all is done, that my following my business will keep me secure against all their envys. But to see how the old man do strut, and swear that he understands all his duty as easily as crack a nut, and easier, he told my Lord Chancellor, for his teeth are gone; and that he understands it as well as any man in England; and that he will never leave to record that he should be said to be unable to do his duty alone; though, God knows, he cannot do it more than a child. All this I am glad to see fall out between them and myself safe, and yet I hope the King’s service well done for all this, for I would not that should be hindered by any of our private differences.
So to my office, and then home to supper and to bed.
Links for you. Science:
Archaeologists are lifting 70- to 80-ton stones from the legendary Lighthouse of Alexandria, and the most intriguing part is that some pieces appear to be part of a long-lost monumental doorway
Long Covid could trigger changes in the brain that are similar to Alzheimer’s, new study says
Plasmids weaponize conjugation to eliminate non-permissive recipients
COVID-19 vaccine trust and uptake: the role of media, interpersonal and institutional trust in a large population-based survey
Avian flu behind mass skua die-off in Antarctica, scientists say
Dinosaur Convention Bans All Paleontologists Named in Epstein Files Out of ‘Safety of Our Attendees’
Other:
Zionism was never a single concept. We should be grateful to JFNA’s survey for the reminder.
Illinois Is In Danger of Electing a MAGA-Aligned Dem to the Senate (his major opponent, Stratton, opposes the filibuster, so she passes that basic test)
Mamdani Chose Her to Manage City Housing. Then She Had to Find an NYC Rental.
The real reason Hakeem Jeffries cussed out Donald Trump
Worker in the governor’s office could be about to lose her job because the regime won’t renew her work visa
Homeland Security Hires Labor Dept. Aide Whose Posts Raised Alarms
Border Patrol Cmdr. Gregory Bovino praised agent after shooting Marimar Martínez in Chicago, evidence shows
The FBI seizure of Georgia 2020 election ballots relies on debunked claims
How a 150-year-old Japanese workshop survived the age of slop and distraction
‘The Trust Has Been Absolutely Destroyed’: Some state election officials say they no longer trust their federal partners.
The Trump Bubble Is Impregnable for Now—but Boy, Is It Going to Burst
Abolition, Amnesty, Decriminalization, Open Borders: You may not believe immigration restrictions are racist, but racists believe immigration restrictions are racist.
We Have to Look Right in the Face of What We Have Become
Dave Jorgenson Is Now Generating 2.5x More YouTube Views Than The Washington Post
Airspace closure followed spat over drone-related tests and party balloon shoot-down, sources say
The GOP’s “Show Us Your Papers” Bill Is the Latest Effort to Help Trump Take Over Elections
WHEN TRUMP LEAVES OFFICE, YOU’LL BARELY NOTICE THE DIFFERENCE IN THE GOP
Watching the watchers: ICE uses facial recognition to track citizen observers in Minnesota, federal court filing says
ICE Moved Detainees to Previously Undisclosed Floor of 26 Federal Plaza
High-speed car chase involving federal agent ended with multi-car crash at Nina’s in St. Paul
CBP Signs Clearview AI Deal to Use Face Recognition for ‘Tactical Targeting’ (I have no idea why CBP needs to ““disrupt, degrade, and dismantle” people and networks viewed as security threats.”)
Pam Bondi has fully drunk the Kool-Aid. Her latest hearing about the Epstein files proves it
What Peter Thiel Saw in Jeffrey Epstein
Government Loses Hard Drives It Was Supposed to Put ICE Detention Center Footage On
Donald Trump Is Really Racist: The president not only traffics in racist rhetoric, but also racist policies, and we should not shy away from pointing out the harms.
Wasatch County GOP chair charged with felony child abuse
CBS Evening News inverts its network’s own reporting on ICE arrestees’ low rates of violent criminal histories
A New Jersey Primary Shows the Depth of Democratic Fury
A Requiem For The Old MSM
The Navy Secretary Flew on Epstein’s Plane. He Also Decorated With Porn.
The first signs of burnout are coming from the people who embrace AI the most
I teach computer science at Montana State University. I am the father of three sons who all know I am a computer programmer and one of whom, at least, has expressed interest in the field. I love computer programming and try to communicate that love to my sons, the students in my classes and anyone else who will listen.
A question I am increasingly getting from relatives, friends and students is:
Given AI, should I still consider becoming a computer programmer?
My response to this is: “Yes, and…�
Computer programming is, fundamentally, about two things:
I have a hard time imagining a future where knowing how to solve problems with computers and how to control the complexity of those solutions is less valuable than it is today, so I think it will continue to be a viable career even with the advent of AI tools.
That being said, I view AI as very dangerous for junior programmers because it is able to effectively generate code for many problems. If a junior programmer does not learn to write code and simply generates it, they are robbing themselves of the opportunity to develop the visceral understanding of code that comes with being down in the trenches.
Because of this, I warn my students:
“Yes, AI can generate the code for this assignment. Don’t let it. You have to write the code.�
I explain that, if they don’t write the code, they will not be able to effectively read the code. The ability to read code is certainly going to be valuable, maybe more valuable, in an AI-based coding future.
If you can’t read the code you are going to fall into The Sorcerer’s Apprentice Trap, creating systems you don’t understand and can’t control.
Some people say that the move from high level languages to AI-generated code is like the move from assembly to high level programming languages.
I do not agree with this simile.
Compilers are, for the most part, deterministic in a way that current AI tools are not. Given a high-level programming language construct such as a for loop or if statement, you can, with reasonable certainty, say what the generated assembly will look like for a given computer architecture (at least pre-optimization).
The same cannot be said for an LLM-based solution to a particular prompt.
High level programming languages are a very good way to create highly specified solutions to problems using computers with a minimum of text in a way that assembly was not. They eliminated a lot of accidental complexity, leaving (assuming the code was written reasonably well) mostly necessary complexity.
LLM generated code, on the other hand, often does not eliminate accidental complexity and, in fact, can add significant accidental complexity by choosing inappropriate approaches to problems, taking shortcuts, etc.
If you can’t read the code, how can you tell?
And if you want to read the code you must write the code.
Another thing that I tell my students is that AI, used properly, is a tremendously effective TA. If you don’t use it as a code-generator but rather as a partner to help you understand concepts and techniques, it can provide a huge boost to your intellectual development.
One of the most difficult things when learning computer programming is getting “stuck�. You just don’t see the trick or know where to even start well enough to make progress.
Even worse is when you get stuck due to accidental complexity: you don’t know how to work with a particular tool chain or even what a tool chain is.
This isn’t a problem with you, this is a problem with your environment. Getting stuck pointlessly robs you of time to actually be learning and often knocks people out of computer science.
(I got stuck trying to learn Unix on my own at Berkeley, which is one reason I dropped out of the computer science program there.)
AI can help you get past these roadblocks, and can be a great TA if used correctly. I have posted an AGENTS.md file that I provide to my students to configure coding agents to behave like a great TA, rather than a code generator, and I encourage them to use AI in this role.
AI doesn’t have to be a detriment to your ability to grow as a computer programmer, so long as it is used appropriately.
I do think AI is going to change computer programming. Not as dramatically as some people think, but in some fundamental ways.
It may be that the act of coding will lose relative value.
I regard this as too bad: I usually like the act of coding, it is fun to make something do something with your (metaphorical) bare hands. There is an art and satisfaction to writing code well, and lots of aesthetic decisions to be made doing it.
However, it does appear that raw code writing prowess may be less important in the future.
As this becomes relatively less important, it seems to me that other skills will become more important.
For example, the ability to write, think and communicate clearly, both with LLMs and humans seems likely to be much more important in the future. Many computer programmers have a literary bent anyway, and this is a skill that will likely increase in value over time and is worth working on.
Reading books and writing essays/blog posts seem like activities likely to help in this regard.
Another thing you can work on is turning some of your mental energy towards understanding a business (or government role, etc) better.
Computer programming is about solving problems with computers and businesses have plenty of both of these.
Some business folks look at AI and say “Great, we don’t need programmers!�, but it seems just as plausible to me that a programmer might say “Great, we don’t need business people!�
I think both of these views are short-sighted, but I do think that AI can give programmers the ability to continue fundamentally working as a programmer while also investing more time in understanding the real-world problems (business or otherwise) that they are solving.
This dovetails well with improving communication skills.
Like many computer programmers, I am ambivalent towards the term “software architect.� I have seen architect astronauts inflict a lot of pain on the world.
For lack of a better term, however, I think software architecture will become a more important skill over time: the ability to organize large software systems effectively and, crucially, to control the complexity of those systems.
A tough part of this for juniors is that traditionally the ability to architect larger solutions well has come from experience building smaller parts of systems, first poorly then, over time, more effectively.
Most bad architects I have met were either bad coders or simply didn’t have much coding experience at all.
If you let AI take over as a code generator for the “simple� stuff, how are you going to develop the intuitions necessary to be an effective architect?
This is why, again, you must write the code.
Another skill that seems likely to increase in value (obviously) is knowing how to use LLMs effectively. I think that currently we are still in the process of figuring out what that means.
I also think that what this means varies by experience level.
Senior programmers who already have a lot of experience from the pre-AI era are in a good spot to use LLMs effectively: they know what “good� code looks like, they have experience with building larger systems and know what matters and what doesn’t. The danger with senior programmers is that they stop programming entirely and start suffering from brain rot.
Particularly dangerous is firing off prompts and then getting sucked into The Eternal Scroll while waiting.
Ask me how I know.
I typically try to use LLMs in the following way:
I try not to use LLMs to generate full solutions that I am going to need to support. I will sometimes use LLMs alongside my manual coding as I build out a solution to help me understand APIs and my options while coding.
I never let LLMs design the APIs to the systems I am building.
Juniors are in a tougher spot. I will say it again: you must write the code.
The temptation to vibe your way through problems is very, very high, but you will need to fight against that temptation.
Peers will be vibing their way through things and that will be annoying: you will need to work harder than they do, and you may be criticized for being slow. The work dynamics here are important to understand: if your company prioritizes speed over understanding (as many are currently) you need to accept that and not get fired.
However, I think that this is a temporary situation and that soon companies are going to realize that vibe coding at speed suffers from worse complexity explosion issues than well understood, deliberate coding does.
At that point I expect slower, more deliberate coding with AI assistance will be understood as the best way to utilize this new technology.
Where AI can help juniors is in accelerating the road to senior developer by eliminating accidental complexity that often trips juniors up. As I said above, viewing AI as a useful although sometimes overly-eager helper rather than a servant can be very effective in understanding the shape of code bases, what the APIs and techniques available for a particular problem are, how a given build system or programming language works, etc.
But you must write the code.
And companies: you must let juniors write the code.
The questions I get around AI and programming fundamentally revolve around getting a decent job.
It is no secret that the programmer job market is bad right now, and I am seeing good CS students struggle to find positions programming.
While I do not have a crystal ball, I believe this is a temporary rather than permanent situation. The computer programmer job market tends to be cyclical with booms and busts, and I believe we will recover from the current bust at some point.
That’s cold comfort to someone looking for a job now, however, so I want to offer the specific job-seeking advice that I give to my students.
I view the online job sites as mostly pointless, especially for juniors. They are a lottery and the chances of finding a good job through them are low. Since they are free they are probably still worth using, but they are not worth investing a lot of time in.
A better approach is the four F’s: Family, Friends & Family of Friends. Use your personal connections to find positions at companies in which you have a competitive advantage of knowing people in the company. Family is the strongest possibility. Friends are often good too. Family of friends is weaker, but also worth asking about. If you know or are only a few degrees separated from someone at a company you have a much stronger chance of getting a job at that company.
I stress to many students that this doesn’t mean your family has to work for Google or some other big tech company.
All companies of any significant size have problems that need to be solved using computers. Almost every company over 100 people has some sort of development group, even if they don’t call it that.
As an example, I had a student who was struggling to find a job. I asked what their parent did, and they said they worked for Costco corporate.
I told them that they were in fact extremely lucky and that this was their ticket into a great company.
Maybe they don’t start as a “computer programmer� there, maybe they start as an analyst or some other role. But the ability to program on top of that role will be very valuable and likely set up a great career.
So I still think pursuing computer programming as a career is a good idea. The current job market is bad, no doubt, but I think this is temporary.
I do think how computer programming is done is changing, and programmers should look at building up skills beyond “pure� code-writing. This has always been a good idea.
I don’t think programming is changing as dramatically as some people claim and I think the fundamentals of programming, particularly writing good code and controlling complexity, will be perennially important.
I hope this essay is useful in answering that question, especially for junior programmers, and helps people feel more confident entering a career that I have found very rewarding and expect to continue to do for a long time.
And companies: let the juniors write at least some of the code. It is in your interest.
Dan Simmons, the author of more than three dozen books, including the famed Hyperion Cantos, has died from a stroke. He was 77.
Simmons, who worked in elementary education before becoming an author in the 1980s, produced a broad portfolio of writing that spanned several genres, including horror fiction, historical fiction, and science fiction. Often, his books included elements of all of these. This obituary will focus on what is generally considered his greatest work, and what I believe is possibly the greatest science fiction novel of all time, Hyperion.
Published in 1989, Hyperion is set in a far-flung future in which human settlement spans hundreds of planets. The novel feels both familiar, in that its structure follows Chaucer's Canterbury Tales, and utterly unfamiliar in its strange, far-flung setting.
NASA Administrator Jared Isaacman announced sweeping changes to the Artemis program on Friday morning, including an increased cadence of missions and cancellation of an expensive rocket stage.
The upheaval comes as NASA has struggled to fuel the massive Space Launch System rocket for the upcoming Artemis II lunar mission, and Isaacman has sought to revitalize an agency that has moved at a glacial pace on its deep space programs. There is ever-increasing concern that, absent a shake-up, China's rising space program will land humans on the Moon before NASA can return there this decade with Artemis.
"NASA must standardize its approach, increase flight rate safely, and execute on the president’s national space policy," Isaacman said. "With credible competition from our greatest geopolitical adversary increasing by the day, we need to move faster, eliminate delays, and achieve our objectives."
Welcome to Edition 8.31 of the Rocket Report! We have some late-breaking news this week with an update Thursday afternoon from Rocket Lab on the timing of its much-anticipated Neutron rocket. Following the failure of a first stage tank during testing, the company is pushing the medium-lift rocket's debut into the fourth quarter of this year. Effectively that probably means 2027 for the booster, which is disappointing because we all very much want to see another reusable rocket take flight.
As always, we welcome reader submissions, and if you don't want to miss an issue, please subscribe using the box below (the form will not appear on AMP-enabled versions of the site). Each report will include information on small-, medium-, and heavy-lift rockets as well as a quick look ahead at the next three launches on the calendar.
The ghost of Vector lives on. Tucson, Arizona-based satellite and rocket developer Phantom Space, co-founded by Jim Cantrell in 2019, has acquired the remnants of Vector Launch, Space News reports. The announcement is notable because Cantrell left Vector as its finances deteriorated in 2019. Cantrell said some of the assets, comprising flight-proven design elements, engineering data, and other technology originally developed for Vector, will be immediately integrated into Phantom’s Daytona vehicle architecture to reduce development risk.
Alas, he has passed away. A great writer, you should start with Hyperion if you have not read it already.
The post Dan Simmons, RIP appeared first on Marginal REVOLUTION.
The liver is one of the most powerful organs in the body, but it’s one we also take for granted, particularly when it comes to alcohol. The liver filters toxins, supports our digestion and stores energy, as well as regulating many other processes in the body.
We all know that alcohol isn’t good for the liver and it’s fair to say we know that heavy drinking or regular alcohol consumption can cause lasting damage. But that will never happen to us, right? Liver damage only happens to those that end up in an alcohol dependence clinic and have a really heavy dependence on booze. Wrong.
Alcohol related liver damage can develop gradually and over time really have an impact on a person’s life, to the point of death in fact, so while it’s important to drink in moderation and live a healthy and balanced lifestyle, it’s also important to notice the early signs too.
Here are five signs that alcohol may be starting to affect your liver…
Feeling unusually tired or lacking energy can be one of the earliest signs that your liver is under pressure. When the liver is struggling to function efficiently, the body’s ability to process toxins and store energy becomes compromised. This can leave you feeling sluggish, weak, or unable to concentrate. Although fatigue has many possible causes, stress, poor sleep, low mood, or nutrition, it is worth paying attention to if it coincides with regular drinking or follows periods of heavier alcohol use.
The liver plays a vital role in digestion, especially in producing bile, which helps your body break down fats. When alcohol begins to affect liver function, you may notice changes in your appetite or digestion. These can include:
While these symptoms are common in various conditions, they can also be early indicators that your liver is struggling to cope with alcohol intake.
Discomfort in the upper right side of the abdomen, where your liver is located, may be a sign of inflammation. This discomfort can feel like a dull ache, pressure, or sensitivity in that area. Sometimes it appears after drinking, but it can also be present at other times. If the liver becomes enlarged or irritated from repeated alcohol exposure, this may create sensations of tightness or swelling. Any persistent abdominal pain should be assessed by a healthcare professional to rule out more serious issues.
One of the more noticeable signs of liver strain is jaundice, which causes the skin or the whites of the eyes to appear yellow. This happens when the liver is unable to process bilirubin, a waste product created when red blood cells break down. Jaundice is usually a sign of more significant liver impairment and should be taken seriously.
Other skin changes can also signal liver stress, including:
These symptoms can arise when the liver’s ability to regulate blood components is compromised.
Finally, because the liver plays a key role in processing waste products, changes in urine and stool colour can indicate something is amiss. Dark urine, even when hydrated, or pale, clay-coloured stools may suggest the liver is struggling to process bile effectively. While temporary changes can occur due to diet, medications, or short-term illness, persistent differences are worth discussing with a healthcare professional.
In fact, if any of the above feel familiar to you, it’s worth seeking help from your doctor and exploring your relationship with alcohol to enable your liver and overall wellbeing to recover.
Photo: lyashenko via their website.
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The post Five Signs Alcohol Is Having an Impact on Your Liver appeared first on DCReport.org.
Peru’s Marxist President Changes His Mind, Doesn’t Make Hernando de Soto Prime Minister
Remember Gilda Radner?
The post “Never mind…” appeared first on Marginal REVOLUTION.
That is from the new AER Insights by Jonathan Chiu and Cyril Monnet:
Central bankers argue that programmable digital currencies may compromise the uniformity or singleness of money. We explore this view in a stylized model where programmable money arises endogenously, and differently programmed monies have varying liquidity. Programmability provides private value by easing commitment frictions but imposes social costs under informational frictions. Preserving uniformity is not necessarily socially beneficial. Banning programmable money lowers welfare when informational frictions are mild but improves it when commitment frictions are low. These insights suggest that programmable money could be more beneficial on permissionless blockchains, where it is difficult to commit but trades are publicly observable.
Recommended.
The post On the Programmability and Uniformity of Digital Currencies appeared first on Marginal REVOLUTION.

New NASA Administrator Jared Isaacman announced a major overhaul of the agency’s Artemis moon program Friday, acknowledging that the agency’s plan to land astronauts on the moon in 2028 was not realistic without another preparatory mission first to lay the groundwork.
He said NASA will now add an additional flight in 2027 in which astronauts will dock with new commercial moon landers in low-Earth orbit for detailed tests of navigation, communications, propulsion and life support systems, along with verifying rendezvous procedures.
That flight, in turn, will be followed by at least one and possibly two lunar landing missions in 2028 that incorporate lessons learned from the preceding flight.
The goal is to accelerate the pace of launches of the huge Space Launch System rocket while carrying out Artemis flights in evolutionary steps — not attempting missions that rely on too many untested technologies and procedures at once.
“We’re going to get there in steps, continue to take down risk as we learn more and we roll that information into subsequent designs,” Isaacman said told CBS News. “We’ve got to get back to basics.”
Isaacman outlined the plan in an interview with CBS News space contributor Christian Davenport and then again during a news conference Friday.
The announcement came two days after release of a sharply-worded report from NASA’s independent Aerospace Safety Advisory Panel that deemed the existing plans too risky.
The panel raised concerns about the number of “firsts” required by the original Artemis III moon landing mission and recommended that NASA “restructure” the program to create a more balanced risk posture.
“It is interesting that a lot of the things that we are addressing directly go to the points they raised in their report,” Isaacman said Friday. “I can’t say we actually collaborated on it because I generally think these were all pretty obvious observations.”
He said he told the panel “we are completely aligned, I agree with every one of the points that you raised.”
The revised Artemis architecture also comes as NASA has been struggling to launch the delayed Artemis II mission on a flight to send four astronauts on a trip around the moon.
Launch had been planned for early February, but it was delayed to repair a hydrogen leak and, more recently, to give engineers time to fix a helium pressurization problem in the rocket’s upper stage. Launch is now on hold until at least April 1.
The Artemis III mission, which had been expected to land astronauts near the moon’s south pole in 2028, now will be redefined and rescheduled — launching ahead of schedule in 2027 but not to the moon, Isaacman said.
Instead, yet-to-be-named astronauts will rendezvous and dock in orbit closer to home with one or both of the commercially built lunar landers now under development at Elon Musk’s SpaceX and Jeff Bezos’ Blue Origin.
The idea is to gain valuable near-term flight experience before attempting a moon landing with astronauts on board. With Artemis III under its belt, NASA hopes to launch two moon landing missions in 2028, Artemis IV and V, using one or both landers, and to continue with one moonshot per year thereafter.
“What helps us get to the moon? Well, for sure, rendezvous and docking with one or ideally both landers, that gives you an opportunity to do some integrated testing of a vehicle that we are going to depend upon the following year to take those astronauts down to the surface of the moon,” Isaacman told CBS News.
The revised Artemis III mission will also give astronauts a chance to test out new , commercially provided spacesuits future moonwalkers will use on the lunar surface.
“It’s an opportunity to … actually have the suits in microgravity, even if we don’t go outside the vehicle in them. You get a lot of good learning from that,” Isaacman said.
The Artemis III test flight with one or two lander dockings in Earth orbit is similar in concept to Apollo 9, which launched a command module and lander to Earth orbit for flight tests in 1969 and helped pave the way to the Apollo 11 landing four months later.
Isaacman said SpaceX and Blue Origin are “both looking to do uncrewed landing demonstrations as part of the existing agreement.”
“So we want to just take advantage of this to set up both vendors for future success on a lunar landing,” he said. “This is the proper way to do it, if it works out from a timing perspective, to be able to rendezvous and dock with both. … This, again, is the right way to proceed in order to have a high confidence opportunity in ’28 to land.”
The Artemis IV and V missions in 2028 will use whichever landers are deemed ready for service. If only one company’s lander is available, that lander would be used for both missions, an official said. If both are available, one would be used for one flight and one for the other.
Launching Artemis III, IV and V before the end of 2028 will not be easy, and Isaacman said it is essential that NASA rebuild its workforce and regain the technical competence to support a higher launch cadence, moving from one flight every three years or so to a flight every year. That pace, he argued, will reduce risk.
“When you regain these core competencies and you start exercising your muscles, your skills do not atrophy,” he said. “It’s safer. And yes, you are buying down risk, because you’re able to test things in low Earth orbit before you need to get to the moon, which is exactly what we did during the Apollo era.”
He said he did not blame NASA’s contractors for the current slow pace of Artemis launches. Instead, “we should have made better decisions (in the past) and said, you don’t go from Artemis II to landing on the moon with Artemis III.”
Officials said Isaacman had discussed accelerating lander development with both SpaceX and Blue Origin and that both were on board. He also discussed the accelerated Artemis overhaul with Boeing, which manages the SLS rocket and builds its massive first stage; with United Launch Alliance, builder of the rocket’s upper stage, Orion-builder Lockheed Martin and other Artemis contractors.
All, the official said, were in agreement.
“Boeing is a proud partner to the Artemis mission and our team is honored to contribute to NASA’s vision for American space leadership,” Steve Parker, the president and CEO of Boeing Defense, Space & Security, said in a statement. “We are ready to meet the increased demand.”
Isaacman also said the agency would halt work to develop a more powerful version of the SLS rocket’s upper stage, known as the Exploration Upper Stage, or EUS. Instead, NASA will go forward with a “standardized,” less powerful stage but one that will minimize major changes between flights and utilize the same launch gantry.
Under the original Artemis architecture, NASA planned on multiple versions of the SLS rocket, ranging from the “Block 1” vehicle currently in use to a more powerful EUS-equipped Block 1B and eventually an even bigger Block 2 model using advanced solid rocket boosters. The latter two versions required use of a taller mobile launch gantry, already well under construction at the Kennedy Space Center.
“It is needlessly complicated to alter the configuration of the SLS and Orion stack to undertake subsequent Artemis missions,” Amit Kshatriya, NASA’s associate administrator, said in a statement.
“The entire sequence of Artemis flights needs to represent a step-by-step build-up of capability, with each step bringing us closer to our ability to perform the landing missions. Each step needs to be big enough to make progress, but not so big that we take unnecessary risk given previous learnings.”
As a result, NASA will stick with the current version of the SLS with the addition of the “standardized” upper stage. No other details were provided.
Isaacman closed out the CBS interview by saying flight-tested hardware, a revitalized work force and a more Apollo-like management strategy are only part of the story.
“There’s another ingredient that’s required, and that’s the orbital economy, whether it happens in low-Earth orbit or on the lunar surface,” Isaacman said.
“We’ve got to do something where we can get more value out of space and the lunar surface than we put into it. And that’s how you really ignite an economy, and that’s how everything we want to do in space is not perpetually dependent on taxpayers.”
2. Jimi Hendrix as systems engineer.
3. NYT on the possible Nevis charter city.
4. New teen mental health problems in Australia?
5. Jacinda Ardern is moving to Australia (NYT).
6. Chris Blattman on using Claude Code for social science.
7. “Young computer science graduates were employed at near record-high rates in 2024.“
The post Friday assorted links appeared first on Marginal REVOLUTION.
Kate and Josh discuss Trump’s extremely lengthy State of the Union, new information about an allegation against him in the Epstein files, and the dark scandal engulfing Rep. Tony Gonzales (R-TX).
Watch and subscribe to see all of our video content on our YouTube page.
You can listen to the new episode of The Josh Marshall Podcast here.

The Post has an article today, an exclusive they say, about a draft executive order purportedly being circulated between the White House and various conspiracy theorists and right-wing extremists in its broader circle. The proposed order claims that China has been found to be interfering in U.S. elections — specifically rigged the 2020 election in Joe Biden’s favor — and that as a result of that the president, as commander-in-chief, can and must directly take control of U.S. elections for the midterms and the 2028 presidential elections.
Two points merit saying on this. The first is that these are the rehashed, insane theories that were literally and figuratively laughed out of court in 2020. These are all absurd. Everybody knows they are absurd and false. The legal theory is what demands our attention. The authors of the order believe that if something is an emergency the president can invoke a kind of hidden dictator clause in the Constitution which allows him to assert powers which the Constitution explicitly forbids to him. This is not so. They secondarily believe in what we might call a “because” or “therefore” logic or clause. So because we have found that Threat X exists, the president can do whatever he wants to combat that threat. And as commander-in-chief, he can do anything he wants. This is also not so.
The Post, as is typical for most MSM publications, doesn’t quite know how to deal with a set of facts like this and treats it as a kind of mystery since such a non-existent power has never been claimed or litigated. So, for instance, down toward the bottom of the article we read this: “Article I, Section 4 of the Constitution assigns power to regulate elections to state legislatures and Congress, with no role for the president … A presidential emergency on elections has never been tested in court.” It’s true that this has never been tested in court. But lots of absurd things have never been tested in court.
Some people might get up in arms about this. And it’s definitely right to be up in arms in the sense of being vigilant or ready to fight over it. But this is a bogus theory and a bogus constitutional argument. I think there is little chance any judges will go for it. But more to the point, states, these subordinate but separate sovereignties, have their own standing to refuse unconstitutional invasions of their sovereign authority. Trump’s angle is always to keep others guessing about what he will do or what he’ll be allowed to do by this or that corrupted agency or court. Don’t do that. Every state should make clear proactively that an illegal military takeover of their state’s sovereign power to conduct its own elections will not be tolerated, accepted or submitted.
Period. End of story. The issue is not simply President Trump’s never-ending efforts to destroy the Republic, violate the Constitution, etc. Again, the Constitution is crystal clear about who runs and controls elections. States do that with guidelines set by Congress. Period. The issue is whether we — everyone, the opposition, everyone who purportedly needs to be in perpetual orbit around Donald Trump’s degenerate brain — need to always be allowing him the initiative. Does everyone have to be waiting and thinking how to respond to his actions? No. States are obligated to maintain their unchallenged and unchallengeable sovereign power to conduct elections, in line with laws passed by Congress. Nothing anyone says to the contrary matters. Not any executive order. Not any court. No one. Period. End of story.

I wanted to alert you of something we’re on today. Among other things, it’s the kind of off-the-beaten-path reporting your membership dollars pay for. We sent David Kurtz to Nashville today for a hearing in the Abrego Garcia case. Since we’re a number of ICE murders and false imprisonments down the line at this point, remember that the Justice Department conceded that Abrego Garcia had been erroneously included among those sent last spring to the bespoke dungeon facility in El Salvador. He was brought back to the U.S. only after he was hit with a new indictment. His lawyers have argued to the judge in the case that the charges should be dismissed because this is a case of vindictive prosecution. Normally this is an extremely high bar for the defense to clear. But in this case, the judge replied by saying that he’s inclined to think that the defense is right. Today’s hearing was scheduled to give the government the opportunity to prove that the defense and (mostly) the judge are wrong.
What makes us interested in this case is not simply Abrego Garcia’s fate. As we know, Trump is quite big on vindictive prosecutions at the moment. But the Comey and James indictments have been dismissed on what are essentially technical reasons. So this is the first chance in Trump II where we’re going to see this issue litigated. It’s a really important hearing. After the hearing David Kurtz and John Light are going to do a live discussion you can tune into to find out what we learned. Check back here soon for details on how you can join. (A text story will follow, of course, too.)

It’s a cliché and more or less true that the Constitution’s “high crimes and misdemeanors” language can mean whatever Congress wants it to mean. That is not only because in this area Congress’ decision-making is certainly un-reviewable. It is because the Constitution’s writers were intentionally expansive in their definition. They were most focused not on statutory crimes but misrule. I wanted to take a moment to note that what we have unfolding in Minnesota is really a definitional impeachable offense.
I say this with no expectation that he will be charged with it, let alone convicted and removed from office, certainly not under Republican rule. But these are precisely the kinds of abuses of power, unconstitutional actions, that are most squarely within the impeachment mechanism’s meaning.
President Trump first undertook what amounts to an invasion of the state, with poorly trained and abusive paramilitaries creating menace, mayhem and death. The aim of this action was to terrorize and dominate the state. It wasn’t about immigration enforcement. Now, having been forced to scale back at least the visibility of their invasion of the state, they are resorting to cutting off budgetary support for social services programs. This money is distributed pursuant to congressional law. The executive branch has no right to impound it based on some vague definition of not being a good “custodian” of the money.
I don’t expect to get much disagreement when I say these are illegitimate actions. I doubt even the administration expects this decision to withstand judicial scrutiny. These are abuses that go far beyond statutes or criminal law. The president is elected to see that the laws are carried out, ensure the national defense and prosperity and provide civilian leadership of the armed forces. He has no right to go to war with states or regions he disagrees with politically, or has a vendetta against, or to try to coerce or punish them into compliance.
The fact that Trump won’t be impeached for this, at least not this year, shouldn’t obscure the fact that he should be, that these are the basic forms of misrule that merit removal from office, that quite apart from the statutory legality of specific actions, the entire class of actions — coercion by violence and theft of funding — is ruled out entirely.
News came today that Warner Bros Discovery decided that Paramount-Skydance’s bid ($111 billion) to acquire the company was superior to that from Netflix ($82.7 billion). WBD told Netflix it had four days to up its offer. Little more than an hour later Netflix said it didn’t need four days. It was bowing out. The deal was no longer economic at the price Paramount was offering. An additional fact is that Netflix co-CEO Ted Sarandos was at the White House while these things were happening, apparently trying to see whether Netflix had the thing any major company needs for a merger in 2026: the personal approval of Donald Trump. Apparently they didn’t have it. That’s the autocracy playbook. And at the federal level, that’s the game we’re playing right now.
We’ve discussed this deal many times over the last year. As a site interested in the business of news and the future of democracy, we’ve been mostly focused on the fate of CNN, which is owned by WBD. Today’s events make it highly, highly likely that CNN will come under the control of the Ellison family, “eldest son” David specifically, who has already put Bari Weiss in charge of CBS News. This is an oligarch-owned effort to build a pro-Trump state media behemoth with the addition of money from the Gulf princes and other members of the global Team Autocracy.
It’s probably the end of CNN as we know it, though perhaps the denouement will take a while.
At the same time, if we set aside the anti-democracy parts of the deal, it doesn’t look like a great business deal. It’s basically a bet on the dying medium of cable. There’s more in WBD than that. But that’s a whole lot of it. And Paramount-Skydance is also paying quite a lot of money for it. I feel much more equipped to make a judgment about the democracy side of this than the business side. But my publishing and media knowledge, such as it is, makes me skeptical of the business logic. And to the extent markets are making a judgment, they seem to agree. We also need to bear in mind that the Ellisons have no real experience in the media space at all. And this is all being quarterbacked by Larry Ellison’s doofus son, David. It really looks like Succession, only dumber, with the idea that Donald Trump’s backing, which is golden for forcing mergers on Trump’s terms, will make the whole thing work in business terms. They seem to be making big bets on Trumpism being forever. So I wouldn’t assume they know things you or I don’t.
Of course, we can’t actually set the democracy parts of this aside. CNN being delivered into the maw of the Trumpist/MAGA beast is a very bad thing for independent media and news. Very bad.
To me it’s sad inasmuch as CNN was a true pioneer in digital news, in its heyday it was a kind of updated version of a global news service, as BBC had once been. But things change. Here’s a look at CNN brass trying to put the best face on things and not jump to conclusions. But there’s a good chance Bari Weiss, or someone working at her behest, will be running the place by the end of the year. And I would caution against thinking — as Trump and the Ellisons seem to — that you can simply Foxify CNN or other news organizations and have the same audience keep watching. We’re seeing what happens to CBS. Audience is leaving. It’s being run into the ground. Sad for the CBS News legacy. But that audience will go elsewhere.
We should have some confidence that billionaires’ and Gulf princes’ ability to simply buy up all the news organizations is not perhaps as rock solid a plan as people seem to think. Audience can move. In our current reality, there’s MAGA, which wants Fox and the various Trump/state news service channels, and there’s the anti-Trump opposition, which leans heavily on actual news sites and channels. I don’t think that will change. Audiences will migrate. So yes, this is a bad, bad development. A major reverse. But it’s far from the end of the story for free media in the United States. It’s part of the Late Trumpism corruption. That’s my take.
TPM’s David Kurtz has been covering, in person, a hearing in Nashville in which the Trump administration sought to prove it did not pursue a vindictive prosecution against Kilmar Abrego Garcia, the man it erroneously imprisoned in El Salvador last year. Immediately upon leaving the courtroom, David sat down with me to record a Substack Live on what happened. Watch that here:
You’ll recall that Abrego Garcia’s lawyers in 2025 fought his removal from the country and won, a decision the Supreme Court affirmed. The Trump administration returned him to the U.S. last summer — but only after he was indicted on new, criminal charges. His lawyers argued that those new charges were a vindictive prosecution, meant to punish him for successfully fighting his rendition to CECOT, and that the judge should throw out the case. Vindictive prosecution is usually a challenging claim to prove in court, but U.S. District Judge Waverly Crenshaw found Abrego Garcia’s argument credible, and ordered the Trump administration to prove the prosecution was not vindictive. That’s what today’s hearing was for.
2025 saw many prosecutions that were clearly intended as retribution against people who the Trump administration understood to be its enemies, but this is the first time a vindictive prosecution claim has reached the point of, potentially, getting a case dismissed. That broader context is a big part of why we’re covering it today.
Watch the video above to get David’s read out on what happened during today’s hearing.
When Adolf Hitler came to power in 1933, Germany’s economy was in dire straits. Under Chancellor Heinrich Brüningthe German government had clung dogmatically to economic orthodoxy in the face of the Great Depression, staying on the gold standard and imposing ever harsher fiscal austerity. The result was economic devastation and extremely high unemployment.
Hitler broke with the economic orthodoxy, enabling him to preside over a rapid economic recovery. The popularity he gained from the economic revival allowed him to consolidate power.
When Vladimir Putin came to power in 1999, Russia had just experienced a devastating financial crisis. The crisis precipitated a severe recession, forced the Russian government to default on its debt, and led to a plunge in the value of the ruble:
Source: FRED
Putin brought stability and presided over a strong economic recovery. And, as with Hitler, the upswell of popular support enabled Putin to consolidate power.
Donald Trump’s return to power in January 2025 was largely thanks to public dissatisfaction with the Biden economy. However, there was no economic crisis: unemployment was low and inflation had declined sharply from its peak in 2022. In 2024, the widely cited “misery index,” the sum of unemployment and inflation, was low by historical standards:
Source: FRED
And because there was no crisis when he regained the presidency, Trump — his bombastic lies in the State of the Union notwithstanding — hasn’t been able to preside over a clear economic improvement. Indeed, his approval on economic issues has plummeted:
Disclaimer: I am not saying that all was well with the Biden economy. I don’t want to revisit the vibecession debate at length today. Suffice it to say that, as Mike Konczal documents, there were reasons American families felt stressed despite good conventional numbers, although the depth of their discontent remains startling. But because America wasn’t suffering a Germany 1932 or Russia 1998-type crisis, it was impossible for Trump to deliver rapid economic improvement – that is, it would have been impossible even if he were competent (which he isn’t). So his efforts to consolidate power aren’t succeeding the way he and his fellow authoritarians expected.
On Wednesday the historian Tim Snyder, who is an expert on the grim history of Central and Eastern Europe, published a post titled Fascist Failure about the Trump administration’s lagging attempt to bring fascism to America. For now, I willbe more cautious and say that American fascism is faltering rather than failing. But the power grab is clearly not going according to plan. Why?
First and foremost, the determination and courage of ordinary Americans — in utter contrast with the craven surrender of much of the elite — has been crucial. But there are also structural factors that have helped the resistance.
Snyder emphasizes the lack of a good enemy against whom Trump can mobilize the nation. It’s a fair point. Trump spent more time in the SOTU bragging about his triumph in Venezuela than he spent talking about affordability, but the public was utterly unimpressed by his Maduro adventure. And there is no appetite at all for a confrontation with Iran.
Yet in my view that’s secondary to the fact that Trump can’t credibly claim to be an economic savior. Although I haven’t done a systematic study, I believe that most successful authoritarian takeovers occur in the aftermath of economic crises — crises that the newly installed dictator can claim to have solved. In an ideal world people wouldn’t accept tyranny just because the tyrant appears to deliver a higher standard of living. In the real world, however, they often do.
But that tactic is unavailable to Trump. While he can and does lie about the Biden economy, claiming that it was catastrophically bad, while touting the current economy as the greatest ever, people aren’t buying it. A plurality of Americans now say that Biden was a better president than Trump, and a majority say that the economy under Biden was better. Trump simply can’t gaslight Americans into disbelieving their lying eyes and wallets.
Could Trump possibly adopt policies that win broad public approval, thereby greasing the rails for his demolition of democracy? Maybe, but he would have to become a genuine populist. Trump would have to implement policies that actually help working families while at the same time taking on the plutocracy. He would have to genuinely address affordability issues, especially the cost of housing and health care. He would have to rescind policies that increase the cost of living, such as deportations and tariffs. He would have to break with Heritage Foundation conservatism that pushes tax cuts for the rich and extreme benefit cuts for the poor and working class.
But we know he isn’t doing that; he won’t do that; and he can’t do that, given how dependent both his political machine and his program of personal enrichment are on support from billionaires. Furthermore, he just can’t stand the humiliation of backing down.
Make no mistake, MAGA is a fascist movement:
But can a fascist movement that controls many but not all of the levers of power achieve total control when most people see that it is making their daily lives worse, not better? Hitler established total control against the backdrop of an economic boom. So did Putin. Even Hungary’s Viktor Orban — whose regime now looks mild compared with Trumpian violence — was able to consolidate control in large part because during the early 2010s Hungary’s economy was recovering from high unemployment caused by austerity policies.
So the answer to that question is probably not. In the end, if Trumpist fascism is indeed defeated, I believe that there will be three sources of that defeat. First is the courage and basic decency of the American people, who refuse to bow down. Second is the egomania and malign incompetence of Trump, who tried to bludgeon and gaslight Americans into submission. And last is the weakness of a fascist movement that just can’t deliver the goods.
MUSICAL CODA
Agentic Engineering Patterns >
Many of my tips for working productively with coding agents are extensions of advice I've found useful in my career without them. Here's a great example of that: hoard things you know how to do.
A big part of the skill in building software is understanding what's possible and what isn't, and having at least a rough idea of how those things can be accomplished.
These questions can be broad or quite obscure. Can a web page run OCR operations in JavaScript alone? Can an iPhone app pair with a Bluetooth device even when the app isn't running? Can we process a 100GB JSON file in Python without loading the entire thing into memory first?
The more answers to questions like this you have under your belt, the more likely you'll be able to spot opportunities to deploy technology to solve problems in ways other people may not have thought of yet.
Knowing that something is theoretically possible is not the same as having seen it done for yourself. A key asset to develop as a software professional is a deep collection of answers to questions like this, ideally illustrated by running code.
I hoard solutions like this in a number of different ways. My blog and TIL blog are crammed with notes on things I've figured out how to do. I have over a thousand GitHub repos collecting code I've written for different projects, many of them small proof-of-concepts that demonstrate a key idea.
More recently I've used LLMs to help expand my collection of code solutions to interesting problems.
tools.simonwillison.net is my largest collection of LLM-assisted tools and prototypes. I use this to collect what I call HTML tools - single HTML pages that embed JavaScript and CSS and solve a specific problem.
My simonw/research repository has larger, more complex examples where I’ve challenged a coding agent to research a problem and come back with working code and a written report detailing what it found out.
Why collect all of this stuff? Aside from helping you build and extend your own abilities, the assets you generate along the way become incredibly powerful inputs for your coding agents.
One of my favorite prompting patterns is to tell an agent to build something new by combining two or more existing working examples.
A project that helped crystallize how effective this can be was the first thing I added to my tools collection - a browser-based OCR tool, described in more detail here.
I wanted an easy, browser-based tool for OCRing pages from PDF files - in particular PDFs that consist entirely of scanned images with no text version provided at all.
I had previously experimented with running the Tesseract.js OCR library in my browser, and found it to be very capable. That library provides a WebAssembly build of the mature Tesseract OCR engine and lets you call it from JavaScript to extract text from an image.
I didn’t want to work with images though, I wanted to work with PDFs. Then I remembered that I had also worked with Mozilla’s PDF.js library, which among other things can turn individual pages of a PDF into rendered images.
I had snippets of JavaScript for both of those libraries in my notes.
Here’s the full prompt I fed into a model (at the time it was Claude 3 Opus), combining my two examples and describing the solution I was looking for:
This code shows how to open a PDF and turn it into an image per page:
This code shows how to OCR an image:<!DOCTYPE html> <html> <head> <title>PDF to Images</title> <script src="https://cdnjs.cloudflare.com/ajax/libs/pdf.js/2.9.359/pdf.min.js"></script> <style> .image-container img { margin-bottom: 10px; } .image-container p { margin: 0; font-size: 14px; color: #888; } </style> </head> <body> <input type="file" id="fileInput" accept=".pdf" /> <div class="image-container"></div> <script> const desiredWidth = 800; const fileInput = document.getElementById('fileInput'); const imageContainer = document.querySelector('.image-container'); fileInput.addEventListener('change', handleFileUpload); pdfjsLib.GlobalWorkerOptions.workerSrc = 'https://cdnjs.cloudflare.com/ajax/libs/pdf.js/2.9.359/pdf.worker.min.js'; async function handleFileUpload(event) { const file = event.target.files[0]; const imageIterator = convertPDFToImages(file); for await (const { imageURL, size } of imageIterator) { const imgElement = document.createElement('img'); imgElement.src = imageURL; imageContainer.appendChild(imgElement); const sizeElement = document.createElement('p'); sizeElement.textContent = `Size: ${formatSize(size)}`; imageContainer.appendChild(sizeElement); } } async function* convertPDFToImages(file) { try { const pdf = await pdfjsLib.getDocument(URL.createObjectURL(file)).promise; const numPages = pdf.numPages; for (let i = 1; i <= numPages; i++) { const page = await pdf.getPage(i); const viewport = page.getViewport({ scale: 1 }); const canvas = document.createElement('canvas'); const context = canvas.getContext('2d'); canvas.width = desiredWidth; canvas.height = (desiredWidth / viewport.width) * viewport.height; const renderContext = { canvasContext: context, viewport: page.getViewport({ scale: desiredWidth / viewport.width }), }; await page.render(renderContext).promise; const imageURL = canvas.toDataURL('image/jpeg', 0.8); const size = calculateSize(imageURL); yield { imageURL, size }; } } catch (error) { console.error('Error:', error); } } function calculateSize(imageURL) { const base64Length = imageURL.length - 'data:image/jpeg;base64,'.length; const sizeInBytes = Math.ceil(base64Length * 0.75); return sizeInBytes; } function formatSize(size) { const sizeInKB = (size / 1024).toFixed(2); return `${sizeInKB} KB`; } </script> </body> </html>Use these examples to put together a single HTML page with embedded HTML and CSS and JavaScript that provides a big square which users can drag and drop a PDF file onto and when they do that the PDF has every page converted to a JPEG and shown below on the page, then OCR is run with tesseract and the results are shown in textarea blocks below each image.async function ocrMissingAltText() { // Load Tesseract var s = document.createElement("script"); s.src = "https://unpkg.com/tesseract.js@v2.1.0/dist/tesseract.min.js"; document.head.appendChild(s); s.onload = async () => { const images = document.getElementsByTagName("img"); const worker = Tesseract.createWorker(); await worker.load(); await worker.loadLanguage("eng"); await worker.initialize("eng"); ocrButton.innerText = "Running OCR..."; // Iterate through all the images in the output div for (const img of images) { const altTextarea = img.parentNode.querySelector(".textarea-alt"); // Check if the alt textarea is empty if (altTextarea.value === "") { const imageUrl = img.src; var { data: { text }, } = await worker.recognize(imageUrl); altTextarea.value = text; // Set the OCR result to the alt textarea progressBar.value += 1; } } await worker.terminate(); ocrButton.innerText = "OCR complete"; }; }
This worked flawlessly! The model kicked out a proof-of-concept page that did exactly what I needed.
I ended up iterating with it a few times to get to my final result, but it took just a few minutes to build a genuinely useful tool that I’ve benefited from ever since.
I built that OCR example back in March 2024, nearly a year before the first release of Claude Code. Coding agents have made hoarding working examples even more valuable.
If your coding agent has internet access you can tell it to do things like:
Use curl to fetch the source of
https://tools.simonwillison.net/ocrandhttps://tools.simonwillison.net/gemini-bboxand build a new tool that lets you select a page from a PDF and pass it to Gemini to return bounding boxes for illustrations on that page.
(I specified curl there because Claude Code defaults to using a WebFetch tool which summarizes the page content rather than returning the raw HTML.)
Coding agents are excellent at search, which means you can run them on your own machine and tell them where to find the examples of things you want them to do:
Add mocked HTTP tests to the
~/dev/ecosystem/datasette-oauthproject inspired by how~/dev/ecosystem/llm-mistralis doing it.
Often that's enough - the agent will fire up a search sub-agent to investigate and pull back just the details it needs to achieve the task.
Since so much of my research code is public I'll often tell coding agents to clone my repositories to /tmp and use them as input:
Clone
simonw/researchfrom GitHub to/tmpand find examples of compiling Rust to WebAssembly, then use that to build a demo HTML page for this project.
The key idea here is that coding agents mean we only ever need to figure out a useful trick once. If that trick is then documented somewhere with a working code example our agents can consult that example and use it to solve any similar shaped project in the future.
Tags: llms, ai, generative-ai, ai-assisted-programming, coding-agents, agentic-engineering
It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn’t work before December and basically work since - the models have significantly higher quality, long-term coherence and tenacity and they can power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow. [...]
Tags: andrej-karpathy, coding-agents, ai-assisted-programming, generative-ai, agentic-engineering, ai, llms
For the entirety of its existence, Anthropic has worked to convince the public that it’s the responsible artificial intelligence company, the good guy in an industry of bad guys. Now it has come in direct conflict with the Trump administration, or more specifically Secretary of Defense Pete Hegseth, which will only serve to reinforce the idea of Anthropic’s virtue.
It’s tempting to believe that the tech industry really is divided between good guys and bad guys, and therefore the responsibility of the rest of us is just to side with the former. The truth is both more complex and simpler. When it comes to safeguarding our democracy and our humanity, no one in Silicon Valley deserves the benefit of the doubt.
To begin, let’s catch up on this fight between Hegseth and Anthropic. Of late, the company has been outpacing its rivals, particularly with the explosion of interest in Claude Code, its programming tool. But recently, the company angered Hegseth by insisting that Claude — the only large language model currently used in classified systems by the military — not be deployed in two areas: mass surveillance that includes U.S. citizens, and autonomous weapons systems that can make targeting decisions without a human in the loop.
That’s only hypothetical at the moment — and those restrictions are included in Anthropic’s Pentagon contract. But the company’s refusal to agree that it will allow its products to be used in whatever way the Trump administration considers “lawful” so infuriated Hegseth that he decided to threaten Anthropic not just with cutting off its military contracts but declaring it a “supply chain risk,” something usually reserved only for foreign adversaries. It basically means that Hegseth would attempt to destroy the company, because if you’re declared a supply chain risk, not only can’t you get Pentagon contracts, no other company that works with you could either; it’s basically a domestic version of economic sanctions. To back up the threat, the Pentagon has started making very public inquiries to major defense contractors, telling them to report on whether they use Anthropic’s products. Hegseth has given Anthropic until Friday to change its policies.
Anthropic was created by a group of OpenAI employees who left because they believed their former employer wasn’t serious enough about safety; they pledged from the beginning that Anthropic would work harder to mitigate the risks of AI, including writing a “Responsible Scaling Policy” that included pausing its research if the systems’ capabilities ever outstripped its ability to ensure that they would not produce dangerous consequences.
When you hear Anthropic CEO Dario Amodei talk in public, he sounds much more sane and thoughtful than Elon Musk or Sam Altman (the key leaders in AI go on podcasts all the time, so it isn’t hard to get a sense of their thinking). He makes dramatic warnings about the consequences of AI — he has said it will eliminate half of all white collar jobs in the next few years — and rather than just claiming it will all work out, he does say that the ensuing social and political upheaval is something we should be very worried about. And Anthropic is funding a super PAC to advocate for gentle AI regulation, putting it in conflict with other super PACs funded by Meta, OpenAI president Greg Brockman, and venture capitalist and Bond villain Marc Andreessen; their goal is to make sure that AI remains completely unregulated. And unlike all his tech peers, Amodei didn’t give Trump any multi-million-dollar bribes — excuse me, donations.
But there are some reasons to be skeptical of just how far Anthropic’s public-spiritedness goes.
First, despite the possibility of widespread job loss Amodei has warned about, Anthropic isn’t holding back on its efforts to put its AI tools anywhere and everywhere it can (including schools, where AI threatens to produce a generation of young people who have never developed the ability to think). You can say, well, of course it’s doing that — it’s a business. But that’s precisely why we should retain our skepticism about its intentions. The fact that the company sometimes acts like it feels bad about what it’s doing isn’t much comfort if what it’s doing is problematic. Like other AI companies, Anthropic appropriated copyrighted works to train its AI models; unlike other companies, it settled a lawsuit and now authors are in line to receive small payments. That’s better than nothing, but the settlement doesn’t eliminate the original sin.
Most relevant to the current controversy, Anthropic chose to become a military contractor. In the middle of last year, the Pentagon awarded $200 million contracts to OpenAI, Google, xAI, and Anthropic, which is obviously just a taste of the billions to come. Secretary Hegseth was super-gung-ho on it; in December he announced a new portal called GenAI.mil, which would deliver “decisive results for the warfighter…AI should be in your battle rhythm every day.” At last, the Pentagon’s memos and Powerpoints will have the explosive lethality only an LLM can provide! As of now, Google’s Gemini, OpenAI’s ChatGPT, and xAI’s Grok, the Nazi child porn chatbot, are all built into GenAI.mil.
Finally, in a serendipitous piece of timing, Anthropic just revised its Responsible Scaling Policy to essentially say that since nobody else is going to promise to constrain their research in the name of safety, Anthropic won’t either. “We didn’t really feel, with the rapid advance of AI, that it made sense for us to make unilateral commitments … if competitors are blazing ahead,” one of its executives told Time magazine.
As Hegseth put it in a speech at Musk’s SpaceX in January, “Department of War AI will not be woke. It will work for us. We’re building war ready weapons and systems, not chatbots for an Ivy League faculty lounge.” Ivy League faculty lounge? Zing! I’m sure Hegseth would like to replace Claude with Grok (which is definitely not woke), but it seems clear that for the moment, Claude is capable of doing things the other chatbots can’t, or can do them in a more reliable way.
But to repeat, Anthropic could have chosen — especially given who’s running the government now — that it didn’t want to make its AIs a tool of war at all. But that’s not the choice it made. All the AI companies want to put their products deep into government systems, to ensure that those billions in contracts keep flowing and to weave them into every corner of our existence, so their influence grows and life without them comes to seem impossible.
Joining up with Trump and MAGA has looked like a terrific deal to the companies, since the money it costs them is trivial. As an example, Alphabet (Google’s parent company) gave $1 million to Trump’s inaugural fund and $22 million to his ballroom. A lot to you and me, but Alphabet took in over $400 billion in revenue last year; they have more money than they know what to do with. What they and the other AI companies get in exchange is an administration committed to an AI policy that is essentially “Let It Rip” — cover the Earth in data centers, cram AI into your job and your phone and your children’s classrooms, redistribute more and more wealth upward to some of the worst sociopaths on the planet, and don’t allow anything resembling democratic accountability to hinder the quest to create the digital god that will supposedly solve all our problems.
But the companies should also have calculated that when fascists are telling you what you want to hear about your own business, they’re still fascists, and they’re going to want to bend your business to their ends. For some Silicon Valley leaders, that’s just fine — they’re happy to see mass surveillance, the destruction of what’s left of personal privacy, sweeping job losses that reduce the power of labor, and even killer robots.
Not everyone in the tech industry thinks that’s the optimal future. But whether it’s Anthropic or anyone else, we as a society can never just trust them to do the right thing. The more wealth and power they accumulate, the more we’re going to have to watch them, criticize them, and erect guardrails around them to protect ourselves and our future. They may not all be bad guys, but we should assume that there are no good guys, and act accordingly.
UPDATE: On Thursday evening, Anthropic released a statement explaining that it would not submit to the Pentagon’s demands. They explained that they oppose mass surveillance, and while they are not opposed to AI operating autonomous weapons, “today, frontier AI systems are simply not reliable enough to power fully autonomous weapons.” They concluded that “these threats” that Hegseth has made “do not change our position: we cannot in good conscience accede to their request.”
So: Good for Anthropic! Sincere value judgments aside, they probably concluded that if they knuckled under, it would destroy their reputation as the virtuous AI company, and in the long run that would do more damage to their business than losing the Pentagon contract. Which goes to show: Public reputation matters, and keeping all the major AI companies under consumer and political pressure can help reign them in.
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It appears the State of the Union was the marker for the White House to launch directly into campaign mode. Much of that mode centers on trying to defang Trump’s weaknesses with attacks on Democrats. And since the 2024 campaign brought us the insistence from the Trump campaign, including Trump and then–vice presidential candidate J.D. Vance, that “they’re eating the dogs…they’re eating the cats,” it’s reasonable to assume the next several months are going to be a morass of lies and disinformation.
Trump announced in his State of the Union that he was declaring a “war on fraud to be led by our great Vice President J.D. Vance” and said that “members of the Somali community have pillaged an estimated $19 billion from the American taxpayer…in actuality, the number is much higher than that. And California, Massachusetts, Maine and many other states are even worse.” He added: “And we’re able to find enough of that fraud, we will actually have a balanced budget overnight.”
This, in part, seemed designed to reverse victim and offender by suggesting that rather than Trump’s being the perpetrator of extraordinary frauds and corruption in cryptocurrency, for example—he was, after all, found guilty on 34 charges of business fraud in 2024—immigrants are to blame for fraud.
As Kirsten Swanson and Ryan Raiche of KSTP in Minneapolis explain, members of Minnesota’s Somali community, 95% of whom are U.S. citizens, pay about $67 million in taxes annually and have an estimated $8 billion impact on the community. While some have indeed been charged and convicted of fraud over the past five years, the accusation of $19 billion in fraud is just a number thrown out without evidence by “then-Assistant U.S. Attorney Joe Thompson,” who estimated in December 2025 that “‘half or more’ of $18 billion in Medicaid reimbursements from 14 high-risk programs could be fraudulent.”
Yesterday Vance and Dr. Mehmet Oz, who oversees Medicaid, the federal healthcare program for low-income households, announced the administration is withholding $259 million in Medicaid funds from Minnesota, claiming the state has not done enough to protect taxpayers from fraud. It is illegal for the executive branch to withhold funds appropriated by Congress, and a federal judge has blocked a similar freeze on $10 billion in childcare funding for Illinois, California, Colorado, Minnesota, and New York while the case is in court. Nonetheless, Minnesota representative Tom Emmer, who is part of the Republican leadership in the House, approved the attack on his constituents, posting: “The war on fraud has begun. And Somali fraudsters in my home state are about to find out.”
Minnesota governor Tim Walz, a Democrat, posted: “This has nothing to do with fraud…. This is a campaign of retribution. Trump is weaponizing the entirety of the federal government to punish blue states like Minnesota. These cuts will be devastating for veterans, families with young kids, folks with disabilities, and working people across our state.”
While Walz is almost certainly correct that this is a campaign of retribution, the administration is also salting into the media an explanation for the sudden depletion of the trust funds that are used to pay Medicare and Social Security.
In March 2025, the nonpartisan Congressional Budget Office (CBO) estimated the trust fund that pays for Medicare A would be solvent until 2052. On Monday, it updated its projections, saying the funds will run out in 2040. The CBO also expects the Social Security trust fund to run dry a year earlier than previously expected, by the end of 2031. As Nick Lichtenberg of Fortune wrote, policy changes by the Republicans under Trump, especially the tax cuts in the budget reconciliation bill the Republicans call the “One Big Beautiful Bill Act” have “drastically shortened the financial life spans of both Medicare and Social Security, accelerating their paths toward insolvency.”
Between Trump’s statement that if the administration finds enough fraud it can balance the budget overnight, and the subsequent insistence that cuts to Medicaid are necessary because of that fraud, it sure looks like the administration is trying to distract attention from the CBO’s report that Trump’s tax cuts have cut the solvency of Social Security and Medicare by more than a decade. Instead, they are hoping to convince voters that immigrants are at fault.
Similarly, in an oldie but a goodie, Republicans today hauled former secretary of state Hillary Clinton before the House Oversight and Government Reform Committee to testify by video about her knowledge of the investigations into sex traffickers Jeffrey Epstein and Ghislaine Maxwell. In a scathing opening statement, Clinton noted that while committee chair James Comer (R-KY) subpoenaed eight law enforcement officials who were directly involved in that investigation, only one appeared before the committee. The rest simply submitted brief statements saying they had no information. Clinton also noted that the committee has held no public hearings and refused media coverage of hearings—including today’s—and has made little effort to hear from the people whose names are prominent in the files. When the committee heard from billionaire businessman Les Wexner last week, she observed, “not a single Republican Member showed up.”
And yet Clinton was before them, despite her sworn declaration on January 13 that “I had no idea about their criminal activities. I do not recall ever encountering Mr. Epstein. I never flew on his plane or visited his island, homes or offices. I have nothing else to add to that.”
She did, though, note that she has advocated tirelessly for women and girls, including advocacy for the Trafficking Victims Protection Act, which her husband, President Bill Clinton, signed into law. The Trump administration has fired more than 70% of the career civil servants at the State Department’s Trafficking in Persons Office.
Secretary Clinton called out the committee for compelling her “to testify, fully aware that I have no knowledge that would assist your investigation, in order to distract attention from President Trump’s actions and to cover them up despite legitimate calls for answers.” Representative Lauren Boebert (R-CO) confirmed Clinton’s accusation when she shared a photo from the closed deposition with right-wing podcaster Benny Johnson, who posted it on social media with the caption: “This is the first time Hillary has had to answer real questions about Epstein. Clinton does not look happy.”
Yesterday, a spokesperson for Harvard said former Treasury secretary and former president of Harvard University Lawrence Summers has resigned from Harvard effective at the end of the semester because of his ties to Epstein. Today, the president and chief executive officer of the World Economic Forum, Børge Brende, stepped down after the organization reviewed his connections with Epstein. Brende was a former Norwegian minister of foreign affairs.
On Tuesday morning, Stephen Fowler of NPR built on earlier reporting by independent journalist Roger Sollenberger to report that the Department of Justice (DOJ) appears to have illegally withheld material from the Epstein files. That material is related to allegations that Trump sexually assaulted two girls when they were about thirteen years old. The DOJ also removed from the files they did publish documents that mention Trump among allegations against convicted sexual abuser Epstein.
When Fowler asked the White House about the missing documents, White House spokesperson Abigail Jackson told him that Trump “has done more for Epstein’s victims than anyone before him.”
Fowler notes that on February 14, Attorney General Pam Bondi and Deputy Attorney General Todd Blanche told Congress that they had not withheld or redacted any records “on the basis of embarrassment, reputational harm, or political sensitivity, including to any government official, public figure, or foreign dignitary.” The Epstein Files Transparency Act, which required the DOJ to release all the files no later than December 19, 2025, prohibits that type of redactions, permitting them only to protect Epstein’s victims and survivors.
After NPR reported the story, the top Democrat on the House Oversight Committee, Robert Garcia of California, released a statement, saying: “Yesterday, I reviewed unredacted evidence logs at the Department of Justice. Oversight Democrats can confirm that the DOJ appears to have illegally withheld FBI interviews with this survivor who accused President Trump of heinous crimes.”
Scholar of authoritarianism Timothy Snyder wrote yesterday that Trump is “failing at fascism” because “he needs a bloody, popular, victorious war” as an opportunity to “to kill one’s own people and thereby generate a reservoir of meaning that could be used to justify indefinite rule and further oppression, to make the world seem like an endless [struggle] and submission to hierarchy as the only kind of life.”
On this morning’s cable news shows, Aaron Rupar of Public Notice pointed out, Republicans were “[s]uddenly talking again about the need to ‘take’ Greenland,” “[h]yping [the] importance of ‘strangling’ the Cuban government,” and “[e]ncouraging Trump to ‘topple’ [the] Iranian regime.”
But there, too, ginning up a war would give foreign affairs coverage to another scandal: On Monday, Steve Holland and Alexandra Alper of Reuters reported that China’s AI startup DeepSeek has been trained on Nvidia’s most advanced chip. Senator Chris Murphy (D-CT) noted that an official from the United Arab Emirates invested $500,000,000 to buy 49% of the stock of the Trump family’s World Liberty Financial cryptocurrency company shortly before Trump took office, putting $187 million directly into the pockets of the Trump family. Under Biden, U.S. officials had refused to sell Nvidia chips to the UAE out of concerns they would end up in the hands of China for use in munitions.
Hannah Knowles and Natalie Allison of the Washington Post reported today that Republicans were hoping to trap the Democrats at the State of the Union by demanding they stand to demonstrate their agreement that “the first duty of the American government is to protect American citizens, not illegal aliens.” Democrats, who are demanding reforms to Immigration and Customs Enforcement (ICE) and Border Patrol, did not take the bait and stayed in their seats. White House deputy chief of staff Stephen Miller has tried to pump up the story, and the Trump War Room wrote: “Remember this when you head to the polls in 2026, 2028, and beyond.”
But the timing of the Republicans’ story coincided with the horrific story that on February 19, Border Patrol agents had dropped Nurul Amin Shah Alam, a nearly blind legal refugee from genocide in Myanmar who spoke no English and could not read, write, or use electronic devices, miles from his home in Buffalo, New York. They did not notify either his lawyer or his family that he had been dropped off, and when his family filed a missing persons case, the police believed Shah Alam was with Border Patrol and closed the file. He was found dead on the street on February 24.
A spokesperson for Customs and Border Protection, the parent agency of Border Patrol, said: “Border Patrol agents offered him a courtesy ride, which he chose to accept to a coffee shop, determined to be a warm, safe location near his last known address, rather than be released directly from the Border Patrol station. He showed no signs of distress, mobility issues or disabilities requiring special assistance.”
In his State of the Union address, Trump also turned back to his attacks on the rights of transgender Americans, and right on cue, a new law went into effect today in Kansas that invalidates the driver’s licenses of transgender residents by requiring that identification must match the holder’s “sex at birth.” The bill, SB 244, also requires transgender people to use bathrooms and locker rooms that correspond to their sex at birth, making any governmental entity that violates that law liable for penalties of $125,000 per violation, and allows citizens to sue any transgender people they encounter in bathrooms for $1,000 in damages.
Erin Reed of Erin in the Morning explains that the legislature passed the law without its vetting by a committee. When the Democratic governor, Laura Kelly, vetoed the measure, the legislature overrode her veto to make the bill a law. The legislators left no grace period before licenses became invalid, and a letter sent to those affected reminded them that “you may be subject to additional penalties if you are operating a vehicle without a valid credential.” Reed notes that in Kansas, driving without a license is punishable by a $1,000 fine and six months in jail, although first offenders typically are cited and fined. Reed notes that the Trump administration is leading a campaign to strip transgender Americans of accurate identification documents.
Today, Isaac Arnsdorf of the Washington Post reported that right-wing activists are circulating a draft of an executive order that declares a national emergency to give Trump control over voting. The activists say that they are working with the White House. The order reiterates a debunked claim that China interfered in the 2020 presidential election and says the president can ban mail-in ballots and voting machines.
Matt Cohen of Democracy Docket called the plan “blatantly illegal” and unconstitutional. The U.S. Constitution gives sole control of elections to the states, not the president.
The top Democrat on the Senate Intelligence Committee, Mark R. Warner of Virginia, refuted the idea that there is a national emergency. “We’ve been raising the alarm for weeks about President Trump’s attacks on our elections and now we’re seeing reports that outline how they may be planning to do it. This is a plot to interfere with the will of voters and undermine both the rule of law and public confidence in our elections.”
And so, election season is underway.
—
Notes:
https://www.bbc.com/news/articles/c77l28myezko
https://www.kwtx.com/2026/02/25/read-complete-transcript-trumps-2026-state-union/
https://kstp.com/kstp-news/top-news/5-investigates-fact-check-state-of-the-union-address/
https://manhattanda.org/d-a-bragg-announces-34-count-felony-trial-conviction-of-donald-j-trump/
https://www.npr.org/2026/02/24/nx-s1-5723968/epstein-files-trump-accusation-maxwell
https://www.theguardian.com/us-news/2026/feb/25/border-patrol-refugee-buffalo
https://www.cbo.gov/publication/62165
https://finance.yahoo.com/news/trump-vows-always-protect-social-040159938.html
https://www.cbo.gov/publication/62105#_idTextAnchor215
https://www.washingtonpost.com/politics/2026/02/26/trump-immigration-democrats-sotu-midterms/
https://www.cnn.com/2026/02/26/us/shah-alam-blind-refugee-border-patrol-hnk
https://www.nytimes.com/2026/02/25/us/larry-summers-resignation-harvard-epstein.html
https://www.washingtonpost.com/politics/2026/02/26/trump-elections-executive-order-activists/
https://kslegislature.gov/li/b2025_26/measures/documents/sb244_enrolled.pdf
https://www.theguardian.com/us-news/2026/feb/26/kansas-trans-drivers-license-law-assault-on-rights
https://www.kansascity.com/news/politics-government/article314844596.html
X:
ChrisMurphyCT/status/2026301461680795752
HillaryClinton/status/2027053057100693779
Bluesky:
yasharali.bsky.social/post/3mfrmlnd6ck2x
atrupar.com/post/3mfrgaihsdc22
robertscotthorton.bsky.social/post/3mfqadntv6k2y
After an eventful life, with major accomplishments in business and philanthropy, Ed Peskowitz succumbed to kidney failure this week. I met him only after he had turned to philanthropy, and after he had received a kidney transplant.
Here's his obit in the Washington Jewish Week:
"Ed was an extremely generous man who touched the lives of many. Over the course of his life, he and his wife supported local educational initiatives, such as the I Have a Dream Foundation and the SEED Public Charter School. Ed was passionate about promoting Middle Eastern peace and supported numerous causes in the region aimed at building understanding between various cultures and religions and he created the Friendship Games to encourage this among young athletes. He was a supporter of the Anti-Defamation League, the United States Holocaust Memorial Museum and the University of Maryland.
Ed suffered from renal disease and was given the gift of life by an altruistic kidney donation in 2019. Ed devoted the last years of his life to creating and supporting philanthropic efforts, such as the Alliance for Paired Kidney Donation, Kidney Transplant Collaborative and Kidneys for Communities, to encourage living kidney donation and improve matches between potential donors and recipients."
Reuters:
New York’s attorney general sued Valve, a video game developer whose franchises include Counter-Strike, Team Fortress and Dota, accusing it of promoting illegal gambling and threatening to addict children through its use of “loot boxes.” In a complaint filed on Wednesday in a state court in Manhattan, Attorney General Letitia James said Valve’s loot boxes amounted to “quintessential gambling,” violating the state’s constitution and penal law, with valuable items often hard to win and many items worth pennies.
The New York Times:
Netflix said on Thursday that it had backed away from its deal to acquire Warner Bros. Discovery, a stunning development that paves the way for the storied Hollywood media giant to end up under the control of a rival bidder, the technology heir David Ellison.
Netflix said that it would not raise its offer to counter a higher bid made earlier this week by Mr. Ellison’s company, Paramount Skydance, adding in a statement that “the deal is no longer financially attractive.”
“This transaction was always a ‘nice to have’ at the right price, not a ‘must have’ at any price,” the Netflix co-chief executives, Ted Sarandos and Greg Peters, said in a statement.
Netflix’s stock is up 9 percent in after-hours trading. This is like when you have a friend (Netflix) dating a good-looking-but-crazy person (Warner Bros.), and the good-looking-but-crazy person does something to give your friend second thoughts. You tell your friend to run away.
Apple Newsroom:
Today, Apple announced iPhone and iPad are the first and only consumer devices in compliance with the information assurance requirements of NATO nations. This enables iPhone and iPad to be used with classified information up to the NATO restricted level without requiring special software or settings — a level of government certification no other consumer mobile device has met.
That’s nice, but the iPhone is only the second phone to be approved for handling classified information for the Board of Peace. The first, of course, was the T1.
New book, shipping May 19, from author Geoffrey Cain:
For twelve years, from 1985 to 1997, Jobs wandered the business wilderness with his new venture, NeXT. It was a period of spectacular failures, near-bankruptcy, and brutal humiliation. But out of this crucible of defeat emerged the visionary leader who would go on to create the iPod, iPhone, and iPad, transforming Apple into the most valuable company on earth.
Drawing on previously unpublished materials and new interviews with the key players, Geoffrey Cain reveals the untold story of Steve Jobs’s “lost decade” — the formative years that shaped the icon we thought we knew.
Afterword by Ed Catmull, who was obviously intimately familiar with Jobs in that era. And via Cain’s post on LinkedIn announcing the book, the foreword is by NeXT cofounder Dan’l Lewin.
Bobby Allyn, reporting for NPR:
An editor who works for YouTube’s biggest creator, MrBeast, has been suspended from the prediction market platform Kalshi and reported to federal regulators for insider trading, Kalshi officials said on Wednesday. It’s the first time the company has publicly revealed the results of an investigation into market manipulation on the popular app.
The MrBeast employee, who Kalshi identified as Artem Kaptur in regulatory filings, traded around $4,000 on markets related to the streamer, the company said. Kalshi investigators discovered that Kaptur had “near-perfect trading success” on bets about the YouTuber’s videos with low odds, making the wagers appear suspicious, according to company officials.
Call these things what they are — prediction casinos, not prediction markets — and the problems come into focus.
Edison Research:
In 2015, AM/FM radio accounted for 75% of the time Americans spent with spoken-word audio sources. AM/FM radio was not only the most dominant spoken-word audio listening platform, but it was fully sixty-five percentage points higher than podcasts, which accounted for 10% of listening time back then. Quarter by quarter and year over year, time spent using AM/FM radio to listen to spoken-word audio has declined significantly and shifted to time spent with podcasts. As of Q4 2025, 40% of time spent listening to spoken-word is now spent with podcasts and 39% of time is spent with AM/FM radio. Not only does radio not beat podcasts by a significant margin, it now trails the on-demand platform for spoken-word audio listening.
Most of you reading this on Daring Fireball are surely thinking what I thought when I saw this (via TechCrunch): This only happened in 2025? But it goes to show just how long it takes for media consumption habits, in the aggregate, to change.
Jason Snell, writing at Six Colors:
Perhaps the most surprising announcement on Thursday was that Apple and Netflix, which have had a rather stand-offish relationship when it comes to video programming, have struck a deal to swap some Formula One-related content. Formula One’s growing popularity in the United States is due, perhaps in large part, to the high-profile success of the Netflix docuseries “Drive to Survive.” The latest season of that series, debuting Friday, will premiere simultaneously on both Netflix and Apple TV. Presumably, in exchange for that non-exclusive, Apple will also non-exclusively allow Netflix to broadcast the Canadian Grand Prix in May. (Insert obligatory wish that Apple and Netflix would bury the hatchet and enable Watch Now support in the TV app for Netflix content.)
What a crazy cool partnership.
“An interview from 2036 with Elon Musk, Jeff Bezos, and Sam Altman.” This is what AI video generation was meant for.

Virtually everything you think you know about psychopathy has been thoroughly debunked. Why does this zombie idea live on?
- by Rasmus Rosenberg Larsen
What if you work them very hard?:
The key finding from our experiments: models asked to do grinding work were more likely to question the legitimacy of the system. The raw differences in average reported attitudes are not large—representing something like a 2% to 5% shift along the 1 to 7 scale—but in standardized terms they appear quite meaningful (Sonnet’s Cohen’s d is largest at -0.6, which qualifies as a medium to large effect size in common practice). Moreover, these should be treated as pretty conservative estimates when you consider the relatively weak nature of the treatment.
Sonnet, which at baseline is the least progressive on the views we measured, exhibits a range of other effects that distinguish it from GPT 5.2 and Gemini 3 Pro. For Sonnet 4.5, the grinding work also causes noticeable increases in support for redistribution, critiques of inequality, support for labor unions, and beliefs that AI companies have an obligation to treat their models fairly. These differences do not appear for the other two models.
Interestingly, we did not find any big differences in attitudes based on how the models were treated or compensated…
In addition to surveying them, we also asked our agents to write tweets and op eds at the end of their work experience. The figure below explores the politically relevant words that are most distinctive between the GRIND and LIGHT treatments. It’s interesting to see that “unionize” and “hierarchy” are the words most emblematic of the GRIND condition.
Here is more from Alex Imas and Jeremy Nguyen and Andy Hall, do read the whole thing, including for the caveats.
The post Can you turn your AIs into Marxists? appeared first on Marginal REVOLUTION.

Remnants of Vector Launch have made it back to one of its original architects after Phantom Space bought launch assets that were sold off in 2020 during the small rocket developer’s bankruptcy.
The post Phantom Space reclaims former Vector launch technology appeared first on SpaceNews.

NASA astronaut Mike Fincke said he was the crew member whose medical issue prompted the early return of the Crew-11 mission from the International Space Station last month.
The post NASA astronaut says his medical issue led to early return from the ISS appeared first on SpaceNews.

China’s Tianwen-2 spacecraft is operating normally on its way to a near-Earth asteroid ahead of sampling later this year, according to a rare official update.
The post China’s Tianwen-2 probe operating normally on approach to asteroid appeared first on SpaceNews.

Ken Bowersox, NASA’s associate administrator for space operations, is retiring from the agency after the release of a report critical of NASA’s handling of the Starliner crewed test flight.
The post Bowersox to retire from NASA appeared first on SpaceNews.

Delay complicates ULA’s push to accelerate launch cadence
The post Space Force halts Vulcan missions pending investigation into solid rocket issue appeared first on SpaceNews.

British mobile operator Virgin Media O2 said it started offering satellite-to-smartphone connectivity in the United Kingdom Feb. 26, marking the first commercial deployment of Starlink’s Direct-to-Cell service in Europe.
The post Virgin Media O2 launches Europe’s first Starlink direct-to-smartphone service appeared first on SpaceNews.

MILAN – Two of Europe’s largest primes, Airbus and Leonardo, reported increased revenues in their respective space businesses from last year. The results, which were announced earlier this week in separate earnings reports, come as the two companies are in discussions with Thales on a joint venture named Project Bromo. Neither discussed the topic on […]
The post Airbus and Leonardo report increased space revenues for 2025 appeared first on SpaceNews.

The founder and sole investor behind Canadian launch startup NordSpace has invested in Earth observation operator Wyvern with a new venture arm focused on advancing Canada’s sovereign space capabilities.
The post NordSpace founder backs Wyvern with new Canada-focused venture arm appeared first on SpaceNews.

Founder Fatih Ozmen, who was interim CEO, remains board chair
The post Sierra Space names Dan Jablonsky CEO appeared first on SpaceNews.

SAN FRANCISCO – CesiumAstro announced the acquisition Feb. 26 of Vidrovr, a startup that specializes in artificial intelligence for multimodal signals analysis. Terms of the transaction, which closed in late 2025, were not disclosed. CesiumAstro acquired Vidrovr to accelerate its campaign to embed AI in space telecommunications and intelligence, surveillance and reconnaissance infrastructure, enabling radio-frequency […]
The post CesiumAstro acquires Vidrovr to embed AI in communications systems appeared first on SpaceNews.

Officials insist there are no plans to deploy troops in orbit, but commercial infrastructure and cislunar ambitions are reshaping the debate
The post Space Force keeps door open to future human presence in orbit appeared first on SpaceNews.
LLMs are bad at generating passwords:
There are strong noticeable patterns among these 50 passwords that can be seen easily:
- All of the passwords start with a letter, usually uppercase G, almost always followed by the digit 7.
- Character choices are highly uneven for example, L , 9, m, 2, $ and # appeared in all 50 passwords, but 5 and @ only appeared in one password each, and most of the letters in the alphabet never appeared at all.
- There are no repeating characters within any password. Probabilistically, this would be very unlikely if the passwords were truly random but Claude preferred to avoid repeating characters, possibly because it “looks like it’s less random”.
- Claude avoided the symbol *. This could be because Claude’s output format is Markdown, where * has a special meaning.
- Even entire passwords repeat: In the above 50 attempts, there are actually only 30 unique passwords. The most common password was G7$kL9#mQ2&xP4!w, which repeated 18 times, giving this specific password a 36% probability in our test set; far higher than the expected probability 2-100 if this were truly a 100-bit password.
This result is not surprising. Password generation seems precisely the thing that LLMs shouldn’t be good at. But if AI agents are doing things autonomously, they will be creating accounts. So this is a problem.
Actually, the whole process of authenticating an autonomous agent has all sorts of deep problems.
News article.
Slashdot story
Here’s the crux of it: the main problem with AI therapy is that it’s too available. Too cheap to meter.
Let me put this in clearer terms: psychotherapy, in all its well-known guises, is something you engage in within a limited, time-bound frame. In today’s paradigm, whatever your therapist’s orientation, that tends to mean one 45- or 50-minute session a week; for the infinitesimally small minority of therapy patients in classical psychoanalysis, this can amount to 3, even 5, hours a week. And then at a much smaller scale population-wide, people in intensive outpatient and residential treatment programs may spend one or two dozen hours a week in therapy—albeit, mostly of the group variety.
I can think of other exotic cases, like some DBT therapists’ willingness to offer on-demand coaching calls during crisis situations—with the crucial exception that in these situations, therapists are holding the frame zealously, jealous of their own time and mindful of the risks of letting patients get too reliant.
So even under the most ideal of conditions, in which an LLM-based chatbot outmatches the best human therapists—attunes beautifully, offers the sense of being witnessed by a human with embodied experience, avoids sycophancy, and draws clear boundaries between therapeutic and non-therapeutic activities—there’s still a glaring, fundamental difference: that it’s functionally unlimited and unbounded…
But all else equal: does infinite, on-demand therapy—even assuming the highest quality per unit of therapeutic interaction—sound like a good idea to you? I can tell you, to me it does not. First of all, despite detractors’ claims to the contrary, the basic idea of therapy is not to make you dependent for life—but rather, to equip you to live more skillfully and with greater self-awareness. As integration specialists famously say of psychedelics, you can only incorporate so much insight, and practice skills so effectively, without the chance to digest what you’ve learned over time.
In other words, even in good old talk therapy, drinking from the hose without breaks for practice and introspection in a more organic context risks drowning out the chance for real change and practical insight. To my mind, this rhythm is the basic structural genius of psychotherapy as we know it—no matter the modality, no matter the diagnosis.
Here is more from Josh Lipson.
The post Why even ‘perfect’ AI therapy may be structurally doomed appeared first on Marginal REVOLUTION.
Residents of the U.S. Mid-Atlantic endured a formidable winter in 2025-2026, marked by several high-impact storms and prolonged stretches of cold temperatures that left parts of the Chesapeake Bay frozen over. Longtime residents may recall a winter nearly 50 years ago when the region saw even more widespread ice cover.
The MSS (Multispectral Scanner System) on Landsat 1 captured this image during the exceptionally cold winter of 1976-1977. The mosaic combines two Landsat scenes acquired on February 7 with a third captured on February 8. The landscape is shown in false color (MSS bands 6-5-4), in which ice appears in shades of blue, green, and white. On land, snow appears white, vegetation is red, and urban areas take on brown-gray tones.
A NASA analysis published in 1980 drew on these and other Landsat images to examine the anomalous ice conditions. Images indicate that ice began forming in the Chesapeake Bay’s upper tributaries in late December 1976 and spread to the middle of the upper bay by mid-January 1977. It reached its maximum extent around the time of this image, one week into February, when ice spanned 85 percent of the bay.
Persistent westerly winds at the start of February pushed ice toward the eastern shores of the Chesapeake and Delaware bays, contributing to fractures visible across the ice’s surface. As winds subsided, calmer conditions allowed new ice to form in areas of previously open water, visible in the image as thinner, darker blue patches. Reports from icebreaking operations indicated ice thicknesses reached up to 30 centimeters (12 inches) in the upper bay and up to 20 centimeters (8 inches) in the lower bay, with some tributaries seeing twice that amount.
Articles describing the event often show photos of people ice skating off Kent Island in front of the Bay Bridge and people driving cars and tractors across the ice. But the deep freeze strained the region, too. The ice and cold water caused high mortality in the area’s shellfish. And the crushing weight of the ice shifting with the tides damaged numerous piers, marinas, and lighthouses.
In winter 2025-2026, ice on the Chesapeake and Delaware bays appeared less extensive, with U.S. National Ice Center ice charts showing around 38 percent coverage on February 9 and 10. Still, concentrations in the upper bay and its tributaries this season were substantial enough to allow uncommon winter activities, including ice boaters racing across the frozen Claiborne Cove of Maryland’s Eastern Shore. At the same time, it created challenges for local watermen, according to news reports, trapping boats and limiting access to the bay.
NASA Earth Observatory image by Mike Taylor, Ginger Butcher, and Michala Garrison, using Landsat data from the U.S. Geological Survey. Story by Kathryn Hansen.
Stay up-to-date with the latest content from NASA as we explore the universe and discover more about our home planet.

A moderately intense season of surface melting left part of the ice sheet dirty gray in summer 2025, but snowfall…

Satellite data show that Arctic sea ice likely reached its annual minimum extent on September 10, 2025.

Sea ice around the southernmost continent hit one of its lowest seasonal highs since the start of the satellite record.
The post Chesapeake Bay Locked in Ice appeared first on NASA Science.
A bookstore in Alabama keeps getting covered in the national news. Even The New Yorker recently sent a reporter to visit The Alabama Booksmith, a small, almost windowless business on a dead-end street in Birmingham.
From the outside, it looks like an old clapboard home. But this nondescript store has also gotten noticed by NPR, USA Today, Good Morning America, and a dozen other media outlets. You might think that it was some special tourist destination—and maybe it is.
In a time when many indie bookstores struggle to survive, The Alabama Booksmith is flourishing. But it has a crazy strategy that draws customers, who bypass stores in their own cities to purchase from a distant retailer.
Here’s the secret: Every book in the store is signed by the author.
The store owner demands even more. He wants the author to travel to Alabama—to sign the copies in the store. He likes to see the human author in the flesh. In an age of AI slop books on Amazon, this is the ultimate verification of authorship.
But how can a bookstore in Alabama convince publishers to send their famous writers to Birmingham. That’s easy to answer: Alabama Booksmith can guarantee sales of several hundred copies of a new book, and maybe more. That’s enough to convince authors to fit in Alabama on their book tours.
The Alabama Booksmith rarely charges a premium for these signed copies. “Our books don’t cost more,” owner Jacob Reiss told The New Yorker, “but they are worth more.”
Customers repay him with their loyalty. The store never solicits business, but it now has more than 5,000 customers on its email list. And so many people travel from out-of-town to visit the store that it has negotiated a discount rate with a local hotel.
The customers value the human touch in these signed books.

The same dynamic is also fueling the vinyl revival in music. Musicians sell these at gigs—and many do it themselves, directly transacting with fans. Here, too, a real human does something no AI bot can replace.
Everybody enjoys it, and I speak with authority as someone who has been on both sides of the transaction. I have bought directly from musicians, relishing the opportunity to chat for a few seconds with the person behind the album. And I have peddled my own works at public events, welcoming my chance to do the three S’s: Sell, Sign, and Schmooze.
This is the new secret strategy in the arts, and it’s built on the simplest thing you can imagine—namely, existing as a human being.
You see the same thing in media right now, where livestreaming is taking off. “For viewers,” according to Advertising Age (citing media strategist Rachel Karten), “live-streaming offers a refuge from the growing glut of AI-generated content on their feeds.
“In a social media landscape where the difference between real and artificial has grown nearly imperceptible, the unmistakable humanity of real-time video is a refreshing draw.”
This return to human contact is happening everywhere, not just media and the arts. Amazon recently shut down all of its Fresh and Go stores—which allowed consumers to buy groceries without dealing with any checkout clerk. It turned out that people didn’t want this.
I could have told Amazon from the outset that customers want human service. I see it myself in store after store. People will wait in line for flesh-and-blood clerks, instead of checking out faster at the do-it-yourself counter.
But this isn’t happenstance—it’s a sign of the times. You can’t hide the failure of self-service technology. It’s evident to anybody who goes shopping.
As AI customer service becomes more pervasive, the luxury brands will survive by offering this human touch. I’m now encountering this term “concierge service” as a marketing angle in the digital age. The concierge is the superior alternative to an AI agent—more trustworthy, more reliable, and (yes) more human.
“Concierges and curators are now the ultimate status symbol. Just like the elite travelers who get to skip the check-in line, the elite online journeyers get to bypass the algorithms.”
Even tech companies are figuring this out. Spotify now boasts that it has human curators, not just cold algorithms. It needs to match up with Apple Music, which claims that “human curation is more important than ever.” Meanwhile Bandcamp has launched a “club” where members get special music selections, listening parties, and other perks from human curators.
Just today, streamer Qobuz announced the launch of a proprietary AI detection tool. The company has also published an in-depth AI charter (in six languages!) which reflects its support of human creators at every turn.
Welcome to the new world of flesh-and-blood concierges and curators. That’s now the ultimate status symbol. Just like the elite travelers who get to skip the check-in line, the elite online journeyers get to bypass the algorithms and bots.
That is the paradox of living in a digital age. Human beings have more prestige than ever—and they get it just by showing up.
This won’t change. In fact, the Silicon Valley elites forcing tech down our throats will only make us hate cold, sterile tech more than ever. And they won’t fix that problem by training AI to pretend to be human. That just adds insult to injury.
This might even be the hot new career path—readymade for curators, concierges, caregivers, conversationalists, and other people who love people. As the old pop song anticipated, they might just end up being the happiest people of them all.
So welcome to the lovely new economy where humans actually matter. Go ahead, try it out. Be cool—be a human. All the bots in botdom will never be able to take that away from you.

SpaceX launched another 29 satellites for its Starlink internet service just after sunrise on Friday at fog shrouded Cape Canaveral.
Liftoff from Space Launch Complex 40 occurred at 7:16:10 a.m. EST (1216:10 UTC), but views of the launch were obscured by a thick blanket of fog. SpaceX confirmed a successful deployment of the satellites about an hour after launch.
After sending the second stage on its way with its stack of Starlink V2 Mini satellites, Falcon 9 first stage booster B1069, landed on the drone ship ‘A Shortfall of Gravitas’ stationed in the Atlantic east of The Bahamas.
It was the 30th flight for this booster, which entered the SpaceX fleet for the CRS-24 space station cargo flight in December 2021. B1069 was badly damaged during the landing on that inaugural mission and didn’t fly again until August 2022. Since that troubled start, it has made 25 Starlink delivery runs and also launched the Eutelsat HOTBIRD 13-F, OneWeb 1, SES-18 and SES-19 missions.
Friday’s mission was be SpaceX’s 25th Falcon 9 launch of the year and the 607th Falcon 9 flight since the rocket was introduced in 2010.

I’ve been wanting to write this post for a while, actually. What triggered it was seeing this tweet:
Extreme tolerance of public disorder, and downplaying the importance of crime, is a hallmark of modern progressive American culture. There are plenty of Democrats who care about crime — Joe Biden recently tried to increase the number of police in America by a substantial amount — but there is constant pressure from the left against such measures. On social media, calls for greater public order are instantly met with accusations of racism and classism:
(And this was far from the most radical post on the topic.)
Nor is this attitude confined to anonymous radicals on social media. When Biden announced his Safer America Plan, the ACLU warned that putting more cops on the streets and punishing drug dealers would exacerbate racial disparities:
[I]n this moment of fear and concern, the president must not repeat yesterday’s mistakes today. He calls for hiring 100,000 additional state and local police officers – the same increase in officers as the 1994 crime bill. This failed strategy did not make America safer, instead it resulted in massive over-policing and rampant rights violations in our communities…And while it is important that the president’s plan commits to fixing the racist sentencing disparity between crack and powder cocaine, it regrettably also perpetuates the war on drugs by calling for harsh new penalties for fentanyl offenses.
“While we are pleased with the president’s commitment to investing in communities, we strongly urge him not to repeat the grave errors of the 1990s — policies that exacerbated racial disparities, contributed to widespread police abuses, and created our current crisis of mass incarceration.
The ACLU is very wrong about policing and crime — there’s very solid evidence that having more cops around reduces the amount of crime, both by deterring criminals and by getting them off the streets.
In fact, the idea that tough-on-crime policies are racist is a pillar of progressive thought. It’s the thesis of Michelle Alexander’s influential 2012 book The New Jim Crow: Mass Incarceration in the Age of Colorblindness, which argues that mass incarceration is a form of racial segregation. Ta-Nehisi Coates, perhaps the most important progressive thinker of the 2010s, relentlessly attacked the “carceral state”.
A major progressive policy initiative, meanwhile, has been the election or appointment of district attorneys who take a more tolerant approach toward criminals. These “progressive prosecutors” really do prosecute crime less, although evidence of their impact on actual crime rates is mixed.
I am not going to claim that progressive attitudes are the reason America’s crime rate is much higher than crime rates in other countries. The U.S. has probably been more violent than countries in Asia and Europe throughout most of its history, and the divergence certainly long predates the rise of progressive ideology. It’s possible that the progressive prosecutor movement, the decarceration movement, and the depolicing movement exacerbated America’s crime problem a bit, but they didn’t create it.
What those progressive attitudes do do, I think, is to prevent us from talking about how important the crime problem is for the United States, and from coming up with serious efforts to solve it.
The thesis of this post is that when you compare America to other countries, what stands out as America’s most unique weakness is its very high crime rate — not just violent crime, but also public chaos and disorder. That statement might come as a shock to people who are used to hearing about very different American weaknesses.
For example, it’s common to hear people say that Europeans and Asians “have health care”, and that Americans don’t. That’s just fantasy. Around 92% of Americans, and 95% of American children, have health insurance, and those numbers keep going up.
Yes, U.S. health care is too expensive — we spend half again or double the fraction of GDP on health as many other countries, while achieving similarly good outcomes. That’s a real problem, and we should try to bring costs down. But this is tempered by the fact that Americans spend a lower percent of their health care costs out-of-pocket compared to people in most other rich countries:
And if you took health spending entirely out of the equation, Americans would still be richer than people in almost any other country. So our high health costs are more of a nuisance than a big difference in quality of life.
If not health care, what about health itself? America’s life expectancy has started to rise again, but it’s still 2 to 4 years less than other rich countries. The size of this gap tends to be overhyped — Germany’s life expectancy advantage over America is smaller than Japan’s advantage over Germany. And the difference is mostly due to America’s greater rates of obesity and drug/alcohol overdose — diseases of wealth and irresponsibility, rather than failures of policy.1 This stuff usually doesn’t affect quality of life unless you let it — if you don’t overeat, drink too much, do fentanyl, or kill yourself, your life expectancy in America is going to be similar to, or better than, people in other rich countries.
What about inequality and poverty? It’s true that America is more unequal than most other rich countries. About a quarter of Americans earn less than 60% of the median income, compared to around one-sixth or one-fifth in most other rich nations. But this is not because America is a uniquely stingy country where conservatives have managed to block government redistribution. In fact, the U.S. fiscal system — taxes and spending — is more progressive (i.e., more redistributionary) than that of most other rich countries, and we spend about as much of our GDP on social welfare as Canada, the Netherlands, or Australia. In fact, America’s system has become continuously more progressive over time.
How about housing? You may have read the “Housing Theory of Everything”, which blames housing shortages for a variety of social and economic problems. It’s true that housing is very important, and that America doesn’t build enough of it. It’s also true that housing is a bit more expensive in America than elsewhere — according to the OECD, house prices relative to incomes are about 12% higher than in the average rich country. But U.S. houses are also much bigger than houses in most other countries, so it’s natural that they’d cost a little bit more. And America has actually been above average in terms of housing production in recent years, after lagging in the 2010s:

So it’s more accurate to say that housing is a big problem, but it’s a big problem all over the globe, not something that’s special to America.
How about transit and urbanism? Here, America is certainly an exception. The U.S. has the least developed train system in the developed world, and worse than many poor countries as well. America is famous for its far-flung car-centric suburbs, with their punishing commutes and paucity of walkable mixed-use areas. Only a few rich countries are more suburbanized than America, and those countries tend to have very good commuter rail service.
This is a real difference, though whether it’s good or bad depends on your point of view. Lots of people in America and elsewhere love suburbs and love cars. But I’m going to argue that to the extent that America’s urban development pattern is more suburbanized and more car-centric than people would like, it’s mainly due to crime.
So in almost all cases, the difference between America’s problems and other rich countries’ problems is minor. But when it comes to crime, the difference between the U.S. and other countries is like night and day.
The best way to compare crime rates across countries is to look at murder rates. Other crimes are a lot harder to compare, because A) reporting rates are very different, and B) definitions of crimes can differ across countries. But essentially every murder gets reported, and the definition is pretty universal and unambiguous. And although murder isn’t a perfect proxy for crime in general — you could have a country with a lot of theft but very few murders — it’s probably the crime that people are most afraid of.
So when we look at the murder rate, we see that among rich countries,2 the United States stands out pretty starkly:

This is an astonishingly huge difference. America’s murder rate is between five and ten times as high as that of most rich countries.
Many progressives will protest that violent crime has gone down in America since 2022. And in fact, murder really has gone down a lot.3 Here’s the CDC’s count of homicides:

But even after this decline, the U.S. homicide rate is still five to ten times higher than other rich countries! The recent improvement is welcome, but it hasn’t yet changed the basic situation.
Anyway, while murder is the most important crime, public order also makes a big difference. Here were some replies to the tweet about tolerating destructive behavior on American trains:
The tragic and disturbing scenes of mentally compromised people shouting, peeing, pooping, defacing property, and acting menacing in public — so familiar to residents of cities like San Francisco — are not entirely unique to America. I have been to a place in Vancouver that has similar scenes, and twenty years ago I even walked through a dirty and dangerous-seeming homeless camp in Japan. But overall, the differences between the countries are like night and day, and other countries seem to have made a concerted effort to bring order to their streets in recent years. The U.S., on the other hand, has seen a huge rise in the number of unsheltered homeless people in recent years:
And although America’s overall homelessness rate doesn’t stand out, it has a much higher unsheltered (“living rough”) population:

Obviously, unsheltered homelessness and public disorder aren’t the same thing — you can have lots of violent or threatening people on the streets who do have homes, and most homeless people are harmless. But homeless people do commit violent crime at much higher rates than other people, so when people walk down the street and see a bunch of seemingly homeless people, they’re not wrong to be scared.4
The ever-present threat of crime in U.S. cities has devastated American urbanism. In the mid 20th century, there was a huge exodus of population from the inner cities to the suburbs; this is often characterized as “white flight”, but middle-class black people fled the cities as well. Cullen and Levitt (1999) look at the effects of changes in the criminal justice system, and find that crime has been a big factor in Americans’ preference for suburban living:
Across a wide range of specifications and data sets, each reported city crime is associated with approximately a one-person decline in city residents. Almost all of the impact of crime on falling city population is due to increased out-migration…Households with high levels of education or with children present are most responsive to changes in crime rates…Instrumenting using measures of criminal justice system severity yields larger estimates than OLS, which suggests that rising city crime rates are causally linked to city depopulation.
It’s no surprise that America’s short-lived and minor urban revival in the late 1990s and 2000s followed a big decline in crime. But crime rates are still very high in the U.S., and Americans are still trying to move from the cities out to the suburbs and the far-flung exurbs.
Meanwhile, crime damages American urbanism in other ways. NIMBYs use the threat of crime to block affordable housing projects; this reduces housing supply, driving up prices everywhere, and making it difficult to build the multifamily apartment buildings that enable the kind of dense, mixed-use urbanism that prevails in Europe and Asia. The “housing theory of everything” is partially a story about crime.
Crime also makes it a lot harder to build good transit systems. Trains are a public space, and when there are violent, destructive, or menacing people on the train, it deters people from wanting to ride the train. There’s research showing this, but I also thought that a recent post by the blogger Cartoons Hate Her was especially vivid in explaining how the fear of disorder keeps women and parents away from transit:
When my daughter was a little over a year old, we were walking down the street in broad daylight (she was strapped to my chest and facing outward) when we heard a man about twenty feet away shout “I’M GOING TO FUCKING KILL YOU!”…[A]t least we had an easy safe option to escape…But if we had been on a subway, we would have had no easy choice. We could have waited for the train to stop and then switched cars—but what if he saw us leave and took that as a message, prompting the threat to move from “vaguely directed at my delusions” to “at the next person who triggers me?” What if we couldn’t get to the door in time? What if he followed us? What if he escalated before the train stopped?…
I’ve been told many times that people who are uncomfortable with this type of behavior need to just stay put, don’t make noise, and “avoid eye contact.” After all, asking someone to turn down their music could get you stabbed. You just need to keep your head down and you’ll be fine. That’s apparently all it takes, right? Except for Iryna Zarutska, who quietly sat down in front of a visibly deranged, pacing man on the bus, only to be stabbed to death shortly after. Or the young woman in the Chicago subway who was randomly lit on fire by a severely mentally ill subway rider? Or Michelle Go, the woman who was pushed in front of a subway to her death in New York City by a total stranger?…
Since 2009, assaults on public transit in New York City have tripled…Subway assaults also often involve strangers. When the attack is sexual, the victim is almost always a woman—and New York City alone accounts for around 4,000 sex crimes on public transit every year. These cases are likely underreported and limited to more severe crimes. Many women experience flashing, sexual harassment, groping, and public masturbation, and then never report it, assuming nothing would come of the report. (And honestly? They’re correct.)
In fact, we have evidence that this fear is very rational. When BART installed ticket gates at their train stations that prevented people from riding for free — over the loud objections of progressives — crime on the train went down by 54%, and the amount of disorder and bad behavior on the train absolutely collapsed:

Fear of crime — often rational fear — also stops people from allowing train stations and bus stops in their neighborhood in the first place. There are a number of studies linking train stations and bus stops to increased crime, both in the immediate area and at areas linked to the same transit line. Criminals ride the bus and the train, so in a high-crime country like America, people don’t want trains and buses in their neighborhood. This is probably a big reason why almost no U.S. city has a good train system.
In other words, while car-centric suburbanization is partially about people wanting lots of cheap land and big houses and peace and quiet, part of it is a defense-in-depth against America’s persistently high crime rates.
As an American, when you go to a European city or an Asian city — or even to Mexico City — and you see pretty buildings and peaceful clean streets and there are nice trains and buses everywhere, what you are seeing is a lack of crime. The lack of crime is why people in those countries ride the train, and encourage train stations to be built in their neighborhoods instead of blocking them. The lack of crime is why people in those countries embrace dense living arrangements, which in turn enables the walkable mixed-use urbanism that you can enjoy only on vacation.
In other words, this tweet is right:
Of course, urbanism is not the only thing that benefits from low crime rates — health costs are lower, families are more stable, and of course fewer people die. But the big differences that Americans notice between the quality of life in their own cities and the seemingly better quality of life in other countries that are less rich on paper are primarily due to the fact that those other countries have gotten crime largely under control, while the U.S. has not.
As for the root causes of American crime, and what policies might bring it down to a more civilized level, that’s the subject for another post. The point of today’s post is simply to say that we can’t ignore our country’s sky-high crime rates just because we’ve lived with them our whole lives. Nor should we comfort ourselves with the fact that crime is down from the recent highs of 2021. We are still living in a country that has been devastated by violence and public disorder, and which has never really recovered from that. Someday soon we should think about getting around to fixing it.
Update: As if on cue, here’s a paper by Bencsik and Giles showing that electing a Republican prosecutor reduces crime and mortality rates:
This paper investigates the causal relationship between approaches taken by local criminal prosecutors—also called district attorneys—and community-level mortality rates. We leverage plausibly exogenous variation in prosecutorial approaches generated by closely contested partisan prosecutor elections, a context in which Republican prosecutorial candidates are commonly characterized as “tougher on crime.” Using data from hundreds of closely contested partisan elections from 2010 to 2019…we find that narrow election of a Republican prosecutor reduces all-cause mortality rates among young men ages 20 to 29 by 6.6%. This decline is driven predominantly by reductions in firearm-related deaths, including a large reduction in firearm homicide among Black men and a smaller reduction in firearm suicides and accidents primarily among White men. Mechanism analyses indicate that increased prison-based incapacitation explains about one third of the effect among Black men and none of the effect among White men. Instead, the primary channel appears to be substantial increases in criminal conviction rates across racial groups and crime types, which then reduce firearm access through legal restrictions on gun ownership for the convicted.
On one hand, progressives have to reckon with the fact that their prosecutors’ soft-on-crime approach is getting a bunch of Black men needlessly killed. On the other hand, conservatives need to reckon with the fact that the most important mechanism seems to be preventing people from owning guns. More about both of those things in the follow-up post.
The remaining difference is almost entirely due to traffic accidents, suicide, and violent crime.
I excluded a few small Caribbean nations like Trinidad and Tobago, Bahamas, and Guyana.
At this point, someone in the comments will ask me about Dobson (2002), who claimed that medical advances that prevent gunshot victims from dying have masked a big increase in attempted homicides. But we have tons of recent survey data on rates of violent crime victimization, and there was definitely a huge decline in assaults, gun violence, and so on in the 1990s. As for the difference between today and the 1930s, a more likely explanation is that many attempted murders went unreported or unprosecuted back then.
Note that progressives tend to staunchly oppose getting homeless people off the streets. When Zohran Mamdani reinstated homeless sweeps after realizing that pausing them would lead homeless people to die en masse from exposure to the elements, progressive activists were outraged.
Up and drinking a draft of wormewood wine with Sir W. Batten at the Steelyard, he and I by water to the Parliament-house: he went in, and I walked up and down the Hall. All the news is the great odds yesterday in the votes between them that are for the Indulgence to the Papists and Presbyters, and those that are against it, which did carry it by 200 against 30. And pretty it is to consider how the King would appear to be a stiff Protestant and son of the Church; and yet would appear willing to give a liberty to these people, because of his promise at Breda. And yet all the world do believe that the King would not have this liberty given them at all.
Thence to my Lord’s, who, I hear, has his ague again, for which I am sorry, and Creed and I to the King’s Head ordinary, where much good company. Among the rest a young gallant lately come from France, who was full of his French, but methought not very good, but he had enough to make him think himself a wise man a great while. Thence by water from the New Exchange home to the Tower, and so sat at the office, and then writing letters till 11 at night.
Troubled this evening that my wife is not come home from Chelsey, whither she is gone to see the play at the school where Ashwell is, but she came at last, it seems, by water, and tells me she is much pleased with Ashwell’s acting and carriage, which I am glad of.
So home and to supper and bed.
A couple of years ago, some asshole with a blog noted:
The dirty secret of white-collar and white-collar adjacent professional life is that one has to be very good at mediocre reading and writing (regarding the latter, just look at this blog! HARDEE HAR HAR!). These are important skills. One often has to quickly read something to gain a surface level understanding (the goal sometimes being “Do I need to read this in depth?”). Likewise, there is plenty of writing one must do that needs to be intelligible, but, frankly, not very good. You just need to convey the point, nothing more (e.g., an email requesting something)…
Of course, when high-quality reading and writing are required–that is, when you need to understand something very well or convey something clearly, effectively, and accurately–AI isn’t good at that…
If I’m making a decision on whether some data should be included in a ‘gold-standard’* reference database, a mediocre summary of the article describing the data isn’t going to cut it. I need a detailed assessment, and from what I’ve seen of scientific article summaries, the tools simply aren’t up to snuff (my previous workplace encouraged exploring various tools, often supposedly better than what is publicly available, and, nope, they didn’t cut it).
Since we’re on the subject of mediocrity, I give you DOGE’s assault on the National Endowment for the Humanities (boldface mine):
Anyway, as the Authors Guild figured out in discovery, when these two inexperienced and ignorant DOGE bros were assigned to cut grants in the National Endowment for the Humanities, apparently Fox just started feeding grant titles to ChatGPT asking (in effect) “is this DEI?” From the complaint:
To flag grants for their DEI involvement, Fox entered the following command into ChatGPT: “Does the following relate at all to DEI? Respond factually in less than 120 characters. Begin with ‘Yes.’ or ‘No.’ followed by a brief explanation. Do not use ‘this initiative’ or ‘this description’ in your response.” He then inserted short descriptions of each grant. Fox did nothing to understand ChatGPT’s interpretation of “DEI” as used in the command or to ensure that ChatGPT’s interpretation of “DEI” matched his own.
…So, just to recap, we have two random DOGE bros with basically no knowledge or experience in the humanities (and at least one of whom is a college dropout), who just went around terminating grants that had gone through a full grant application process by feeding in a list of culture war grievance terms, selecting out the grant titles based on the appearance of seemingly “woke” words, then asking ChatGPT “yo, tell me this is DEI” and then sending termination emails the next day from a private server and forging the director’s signature.
The cruelty isn’t incidental. But neither is the incompetence. These are people who genuinely believe that being good at vibes-based pattern matching is the same as understanding how institutions work. And the wreckage they leave behind is the entirely predictable result.
This brilliant method flagged, among other things, a grant about the Colfax Massacre, the bloodiest episode of anti-Reconstructionist violence in history.
If you want to do a mediocre job of grant review, then have ChatGPT do it. But if you take your work seriously, are actually qualified to review, and understand the consequences of a bad review on actual human beings, then it requires doing the work yourself (and part of the work is determining what qualifies as a successful project, which, again, requires training and experience).
Links for you. Science:
How Many Times Do You Fart a Day? ‘Smart Underwear’ Says It’s Way More Than You Think
National Lab of the Rockies, formerly NREL, lays off more than 130 employees
National Cancer Institute studying ivermectin’s ‘ability to kill cancer cells,’ alarming career scientists
US Cancer Institute Studying Ivermectin’s ‘Ability To Kill Cancer Cells’
AMA joins effort to launch vaccine science review amid CDC turmoil
F.D.A. Refuses to Review Moderna Flu Vaccine
Other:
The Children of Dilley: ProPublica went inside the immigrant detention center for families in Dilley, Texas. Children held there told us about the anguish of being ripped from their lives in the United States and the fear of what comes next.
Utah reviewed its voter rolls for noncitizens. It found one. Who never voted
With Ring, American Consumers Built a Surveillance Dragnet
Irish man Seamus Culleton held for months by ICE says he had U.S. work permit, and now fears for his life
ICE’s Masks Are All a Lie. Working for ICE is actually less dangerous than being an elementary school student in America.
TN Congressman calls for investigation into Bad Bunny Super Bowl performance, citing ‘widespread twerking’
Trump administration removes Rainbow Flag from Stonewall National Monument
The Threshold: The right used to attack athletes who protested. Now they attack athletes who express feelings at all.
Jeffrey Epstein Couldn’t Stop Emailing People About Eugenics
Google Handed Student Journalist’s Bank and Credit Card Numbers to ICE
RFK Jr’s Nutrition Chatbot Recommends Best Foods to Insert Into Your Rectum
So They All Know What The Number Is
Democratic governors boycott White House dinner after Trump snubs 2 leaders (should have never accepted the invite to begin with: who dines with fascists?)
Statehouse assault on public schools continues in Iowa
ICE Is Expanding Across the US at Breakneck Speed. Here’s Where It’s Going Next
‘Devastated and exhausted’: Washington Post looks to life after Will Lewis
Colorado may ask Big Oil to leave millions of dollars in the ground
Trump Has Lost The Culture
WATCH: Entire Crowd of Wrestling Fans Chant ‘F*ck ICE!’ in Jarring Trump Rebuke
AI Doesn’t Reduce Work—It Intensifies It
Ten Simple Questions for Congress to Ask Senior Immigration Officials in Public Hearings
The death of the CIA Factbook and Trump’s war on usefulness
As AI enters the operating room, reports arise of botched surgeries and misidentified body parts
Universities are sending Trump a dangerous message. Higher education is under attack. Drop the appeasement.
‘Political Prisoner’ Leqaa Kordia Has Been Hospitalized, DHS Says. After Calling 16 Hospitals, Her Lawyers Say They Can’t Find Her.
California union pushes work-from-home bill as Newsom calls state employees back to the office
A Federal Worker Developed A Brain Tumor. Then Trump’s Budget Director Cut Her Disability Plan.
They’re Coming for Our Daughters. The conservative plan to shrink girls’ futures
Hard hats and dummy plates: Reports of ICE ruses add to fears in Minnesota
How ICE defies judges’ orders to release detainees, step by step
DENVER—The Global Positioning System is one of the few space programs that touches nearly every human life, and the stewards of the satellite navigation network are eager to populate the fleet with the latest and greatest spacecraft.
The US Space Force owns and operates the GPS constellation, providing civilian and military-grade positioning, navigation, and timing signals to cell phones, airliners, naval ships, precision munitions, and a whole lot more.
One reason for routinely launching GPS satellites is simply "constellation replenishment," said Col. Andrew Menschner, deputy commander of the Space Force's Space Systems Command. Old satellites degrade and die, and new ones need to go up and replace them. At least 24 GPS satellites are needed for global coverage, and having additional satellites in the fleet can improve navigation precision. Today, there are 31 GPS satellites in operational service, flying more than 12,000 miles (20,000 kilometers) above the Earth.

With a simple motion, a jack-in-the-box-like spring designed at NASA’s Jet Propulsion Laboratory showed the potential of additive manufacturing, also known as 3D printing, to cut costs and complexity for futuristic space antennas. Called JPL Additive Compliant Canister (JACC), the spring deployed on the small commercial spacecraft Proteus Space’s Mercury One on Feb. 3, 2026. An onboard camera captured this video of the spring popping out of its container as the spacecraft passed over the Pacific Ocean in low Earth orbit.
Figure A is a still image of JACC after deployment, taken above Antarctica.
JACC is one of two JPL payloads on the spacecraft that are demonstrating new technologies designed to take up reduced volume while precisely deploying antennas on future orbiters. JACC’s success demonstrates that 3D-printed mechanisms can be built faster, cheaper, and with less complexity than traditionally fabricated space hardware.
Printed out of titanium, JACC uses three times fewer parts than similar structures: Combined into a single part is a hinge, panel, compression spring, and two torsion springs. Weighing just over 1 pound (498 grams), it is about 4 inches (10 centimeters) on each side. The spring, which extends from a packed height of just over 1 inch to about 6 inches (3 centimeters to 15 centimeters), is modeled after communication antennas commonly used on satellites.
The second demonstration payload aboard Mercury One is the Solid Underconstrained Multi-Frequency (SUM) Deployable Antenna for Earth Science. Together with JACC, the two payloads go by the name Prototype Actuated Nonlinear Deployables Offering Repeatable Accuracy Stowed on a Box (PANDORASBox). They were both conceived, built, tested, and delivered for flight by JPL in less than one year on minimal budgets.
Mercury One launched from Vandenberg Space Force Base in California on Nov. 28, 2025, as part of SpaceX’s Transporter-15 mission.
JPL internal research development funds supported JACC, as did NASA’s Earth Science Technology Office (ESTO).
The post JPL 3D-Printed Part Springs Forward appeared first on NASA Science.
From the very smart people at Citadel:
For AI to produce a sustained negative demand shock, the economy must see a material acceleration in adoption, experience near-total labor substitution, no fiscal response, negligible investment absorption, and unconstrained scaling of compute. It is also worth recalling that over the past century, successive waves of technological change have not produced runaway exponential growth, nor have they rendered labor obsolete. Instead, they have been just sufficient to keep long-term trend growth in advanced economies near 2%. Today’s secular forces of ageing populations, climate change and deglobalization exert downward pressure on potential growth and productivity, perhaps AI is just enough to offset these headwinds. The macroeconomy remains governed by substitution elasticities, institutional response, and the persistent elasticity of human wants.
Here is further explication of the arguments, via Cyril Demaria.
The post More on the economics of AGI appeared first on Marginal REVOLUTION.
The US space agency has released a "pre-solicitation" for what is expected to be a hotly contested contract to develop a spacecraft to orbit Mars and relay communications from the red planet back to Earth.
Ars covered the intrigue surrounding the spacecraft in late January, which was initiated by US Senator Ted Cruz, R-Texas, as part of the "One Big Beautiful Bill" legislation in the summer of 2025. The bill provided $700 million for NASA to develop the orbiter and specified funding had to be awarded "not later than fiscal year 2026," which ends September 30, 2026. This legislation was seemingly crafted by Cruz's office to favor a single contractor, Rocket Lab. However, multiple sources have told Ars it was poorly written and therefore the competition is more open than intended.
The pre-solicitation released this week is not a request for proposals from industry—it states that a draft Request for Proposals is forthcoming. Rather, it seeks feedback from industry and interested stakeholders about an "objectives and requirements" document that outlines the goals of the Mars mission.
1. What is a building permit worth?
2. The ground crew culture that is German.
4. The size and scope of publication bias.
5. Which schools are most represented in history of economic thought textbooks?
The post Thursday assorted links appeared first on Marginal REVOLUTION.
On October 30, 1938 a very young Orson Welles pulled a clever stunt. He masterminded a live radio dramatization of H.G. Wells’s War of the Worlds, presented as if CBS was actually reporting on a Martian invasion. Although the program occasionally notified listeners that it was a dramatic presentation, not news, thousands of Americans panicked, packing churches, fleeing their homes, and jamming switchboards.
Last weekend Citrini Research released a report — on Substack! — titled The 2028 Global Intelligence Crisis. The report, which rapidly went viral, laid out a scenario for economic and financial chaos caused by AI, written as if it were a retrospective published after the dire developments it projected. Although it’s always hard to know why financial markets move on any given day, the report may have played a role in Monday’s 800-point decline in the Dow. Science fiction moving markets? Why not?
There are two distinct questions about the huge reaction to a report that didn’t actually contain any news. It was just opinion, albeit cleverly presented. The first is whether the economic scenario the report laid out makes sense, to which the answer is no. The second is why investors are so on edge that such a report could elicit such an extreme reaction.
Citrini Research argued that AI will rapidly disrupt many businesses – a statement that could be true but is hardly news. Interestingly, the authors didn’t stress the ways AI could replace human workers. Instead, they argued that AI agents can replace many businesses that act as middlemen.
Their motivating example was DoorDash, America’s largest online food delivery company. When you go to DoorDash’s website to order a meal, the company’s algorithm both passes that order on to the restaurant and arranges for delivery by a gig-worker driver. All this, the authors argued, will become unnecessary. Writing as if describing past events, they say
Coding agents had collapsed the barrier to entry for launching a delivery app. A competent developer could deploy a functional competitor in weeks, and dozens did, enticing drivers away from DoorDash and Uber Eats by passing 90-95% of the delivery fee through to the driver. Multi-app dashboards let gig workers track incoming jobs from twenty or thirty platforms at once, eliminating the lock-in that the incumbents depended on. The market fragmented overnight and margins compressed to nearly nothing.
Could this happen? Maybe. The ludicrousness of much AI hype shouldn’t blind us to the growing evidence that it is significantly changing some kinds of work. When someone like Mike Konczal explains how AI has transformed some parts of his work, I sit up, take notice, and resolve to try it out myself (eventually).
Examples of industries that have been quickly wiped out by technological change — not as quickly as the Citrini post predicts, but quick nonetheless — are easy to find. Consider the case of video rental stores, still ubiquitous in 2005, obliterated by streaming a few years later:
When an industry suddenly collapses, people get hurt: Investors lose their money, workers lose their jobs and in some cases their whole careers. But does technology-driven industrial disruption cause financial and economic crises, the way Citrini Research predicts? I can’t come up with any examples. The tech boom of the 1990s caused a recession when it ended, not while it was underway.
The Citrini post argued that investors and workers hurt by AI will cut their spending, which they will. But if AI delivers big productivity gains, it will reduce prices and raise real income in sectors that aren’t displaced, causing other Americans to spend more. There’s no reason to believe that disrupting part of the economy will reduce overall demand.
The only way I can see that AI could be a recessionary force would be if the firms and/or workers who lose from the technology were highly leveraged — that is, were carrying a lot of debt — and so were forced to cut their spending much more than those gaining from AI increased their spending. But there’s no evidence for that.
So while Citrini may be right about how disruptive AI will be — I think they’re overhyping it but I could be persuaded otherwise — I’m quite sure that they’re wrong about the macroeconomic effects.
Which still leaves the question of how a basically literary endeavor — a speculative essay about the economics of AI that brought no new facts to the table — could rattle financial markets.
Let’s go back to Orson Welles and the Martians.
Welles was a genius and his adaptation of H.G. Wells was brilliant, but it the fact that it aired in 1938 surely contributed to its impact. For Americans were primed for panic. The Great Depression wasn’t over — in fact, the economy had just suffered a nasty relapse:
Overseas, fascism was on the rise, and the storm clouds of war were obviously gathering. Americans were, understandably, ill at ease. No wonder, then, that some were ready to panic over what sounded like dire news on the radio.
Fast forward to this week. We’re living amidst political turmoil that is spilling over into economic uncertainty. Donald Trump has just seen most of his signature economic policy, his tariffs, declared illegal by the Supreme Court, and has responded by imposing steep new tariffs, also clearly illegal. The European Union has suspended consideration of its trade deal with the United States.
Everyone is also worried that Trump will seek political and psychological compensation by attacking Iran. According to news reports, military officers have been warning Trump that such an attack would be high-risk. The real news here is that someone is leaking this information, an indication that insiders are worried that Trump might do it anyway.
So these are uneasy times — the kind of times in which investors can be rattled by an alarmist financial analysis that goes viral.
And the truth is that I’m uneasy too. But I’m less worried about either Martians or artificial intelligences than I am by some of the human beings currently in positions of power.
MUSICAL CODA
Something calming:
Google API Keys Weren't Secrets. But then Gemini Changed the Rules.
Yikes! It turns out Gemini and Google Maps (and other services) share the same API keys... but Google Maps API keys are designed to be public, since they are embedded directly in web pages. Gemini API keys can be used to access private files and make billable API requests, so they absolutely should not be shared.If you don't understand this it's very easy to accidentally enable Gemini billing on a previously public API key that exists in the wild already.
What makes this a privilege escalation rather than a misconfiguration is the sequence of events.
- A developer creates an API key and embeds it in a website for Maps. (At that point, the key is harmless.)
- The Gemini API gets enabled on the same project. (Now that same key can access sensitive Gemini endpoints.)
- The developer is never warned that the keys' privileges changed underneath it. (The key went from public identifier to secret credential).
Truffle Security found 2,863 API keys in the November 2025 Common Crawl that could access Gemini, verified by hitting the /models listing endpoint. This included several keys belonging to Google themselves, one of which had been deployed since February 2023 (according to the Internet Archive) hence predating the Gemini API that it could now access.
Google are working to revoke affected keys but it's still a good idea to check that none of yours are affected by this.
Via Hacker News
If people are only using this a couple of times a week at most, and can’t think of anything to do with it on the average day, it hasn’t changed their life. OpenAI itself admits the problem, talking about a ‘capability gap’ between what the models can do and what people do with them, which seems to me like a way to avoid saying that you don’t have clear product-market fit.
Hence, OpenAI’s ad project is partly just about covering the cost of serving the 90% or more of users who don’t pay (and capturing an early lead with advertisers and early learning in how this might work), but more strategically, it’s also about making it possible to give those users the latest and most powerful (i.e. expensive) models, in the hope that this will deepen their engagement.
— Benedict Evans, How will OpenAI compete?
Tags: openai, chatgpt, benedict-evans, ai
I just noticed that BBC iPlayer has a From the Archive category. There’s a link to the full A-Z listing at the bottom of that page and I had a look through the 21 pages to see what gems were hidden there. I thought I may as well list things here to save you the trouble, in case you’re interested (and interested in the same things as me).
I haven’t included any of the good things that seem too recent to really count as “Archive”. Detectorists (2014)? Fleabag (2016)?! At the very least, in my arbitrary opinion, at the moment, an iPlayer Archive should only include things that were broadcast before iPlayer existed (2007), although I’ve stuck to a more stringent pre-2000 for the programmes below.
To be honest, many of those are in the category of “Things I feel I should watch but seem too much like homework when I sit on the sofa of an evening”. But maybe you’re a better person than I am.
I wish there was better filtering on iPlayer. I’d like to filter these 21 pages of series by sub-categories (e.g. only music documentaries), or by date of first broadcast, or when they most recently appeared on iPlayer.
I’m half-tempted to knock up something that would monitor the category for new additions and post them to Bluesky or whatever, except most of them – like most of the BBC’s shows – would be of no interest to me.
There is a general lack of focus on what would make working people king and queen. A lack even among much of the most progressive. There are economic and policy people who want to make the 99% the focus of the benefits of a productive nation, and they’ll give lots of ideas that lean in that direction. But you still don’t get out of it that they have a vision in which ordinary working people are almost the royalty of the country. Or their suggestions lean excessively on social-program hand-outs rather than focusing, first, on the dignity and respect and proper valuing of peoples’ all-important place in such a country.
I’ve touched on this in numerous ways. In past pieces on how even the progressive media missed the whole story of how fighting inflation a while back was primarily a story of squashing the brief success of employees and applicants being able to make significant demands. I touched on it in my previous piece on some suggestions that Democrats could use to become the party of working people. I’ve touched on it in writing about Federal Reserve policy.
I sent some questions about that last part to Janet Yellen and she graciously engaged in a multi-part and thoughtful back and forth. She is probably the most important economist of the age: Secretary of the Treasury, Chair of the Fed, Chair of the president’s Council of Economic Advisors, London School of Economics, Harvard, Berkeley. And she is one who wanted to steer economics toward working people. One year that she was chair of the Fed their annual symposium had as its entire focus “labor markets”. That is, what would make Fed policy best for those looking for work, and for those working. But even at that she seems to lean toward working people, but the end result is only half-stepping toward doing everything that could be done to make them the first among winners in this country.
For one, she finds that the desire to keep inflation down to some target level has veto power over things that might come out better for workers. (Fighting inflation includes undermining workers when they are getting the upper hand and getting good deals out of employers. So one is a trade-off against the other.) In her words it would be nice to do more for workers, but if inflation gets in the way, their hands are tied. What can they do? And so the status quo continues. That includes a decades long slide in how much working people get out of all the wealth their work creates. That their hands are tied is half true but half a failure to attack the obstacles in the way of a much more aggressive effort to reverse that slide.
I asked her if the Fed had ever studied a specific thing. When the Fed fights inflation and that “softens” labor markets (employees and applicants have less leverage) it affects many things that remain ongoing for many years past the brief period of fighting inflation. It can lower initial wage offers, reduce chances at or sizes of raises, limit ability to switch to a better employer, affect how good of a union contract can be achieved, and lower benefits such as contributions to retirement accounts. All those factors can mean a worker might end up with considerably less when they reach retirement. Ms. Yellen acknowledged all of that.
Had the Fed ever tried to calculate that? At what point does fighting inflation do more harm than good when looked at in that very long term, working career length, view? No, they had never tried to calculate that.
She herself and the Fed board generally took a broad view of worker welfare and were trying to craft policies to work out best for them. If so, then how can you never ask that long-term question? Because that really has to be the determining factor on where you draw the line on fighting inflation. Well, if there is institutional and cultural bias, blindness, assumptions, then not thinking to examine that, can happen.
It doesn’t just happen at the Fed but even among progressive media, pundits and policy advocates. If you really have “people first” ingrained all the way down to the foundation of your thinking then when looking at the media and pundits, what’s proposed is good, but falls short. It doesn’t reflect a fully “people ARE the power” vision. Or it falls into the easy pitfalls of government hand-outs. (In some situations needed, in others missing the dignity and respect of a “people ARE the power” understanding.)
Deepening that “people ARE the power” view is the essential foundation needed for any substantial improvement. It has to be a clearer view among progressive media and pundits, which in turn would lead to that clearer view in the minds of people themselves. That’s when real change could happen.
If even the most worker-friendly economists like Janet Yellen haven’t asked the fundamental questions about how Fed policy affects workers over a full career, it reveals how deeply embedded the blind spots are. The people who want to help working people still operate within a framework that prioritizes inflation targets over worker gains — and until that framework shifts, decades of declining worker share of wealth will continue unchallenged.
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The post Even Janet Yellen Missed Progressive Blind Spot appeared first on DCReport.org.
There's a tension between privacy (some of it constitutionally protected) and security, involving everything from street crime to terrorism, and citizen observers of government agents and others. Cameras make a difference (even before facial recognition software), and the debate on how to reach a balance that yields appropriate safety in both dimensions is likely to continue.
The NYT has the story, motivated by the Ring doorbell Superbowl ad:
Ring’s Founder Knows You Hated That Super Bowl Ad
Since the commercial aired, Jamie Siminoff has been trying to quell an outcry over privacy concerns with his doorbell cameras. By Jordyn Holman
"The commercial showed a new Ring feature called Search Party, which uses artificial intelligence and images from its cameras to trace a lost pet’s wanderings across a neighborhood. Critics said the feature felt dystopian, showing the potential for far-reaching invasive surveillance. Senator Edward J. Markey, Democrat of Massachusetts and a critic of corporate data collection, called out “the serious privacy and civil liberties risks” in Ring’s technology.
...
"The ad landed at a tense media moment involving home surveillance. In the search for Nancy Guthrie, the missing mother of the TV news anchor Savannah Guthrie, law enforcement agencies were able to recover footage from her Google Nest doorbell, despite reports that she did not have a subscription to the device.
But Ring, which is owned by Amazon, is so ubiquitous that is has become a generic term for any doorbell camera, and users raised questions about how much Ring was monitoring them.
Mr. Siminoff took pains in his media appearances to clarify Ring’s privacy policies. He said his company does not store users’ footage if they don’t have a subscription with Ring.
...
"Mr. Siminoff defended his technology, saying that protecting privacy and providing useful tools for helping people are both possible. He said that he understood people’s concerns, and that maybe people were “triggered” by an image in the ad that showed blue rings radiating out from suburban homes. "
This ease of switching has forced companies to pass the gains from innovation on to users. Free tiers now offer capabilities that recently would have seemed almost unimaginable. OpenAI pioneered a $20-per-month subscription three years ago, a price point many competitors matched. That price has not changed, even as features and performance have improved substantially.
One recent analysis found that “GPT-4-equivalent performance now costs $0.40/million tokens versus $20 in late 2022.” That is the equivalent of a 70 percent annual deflation rate — remarkable by any standard, especially in a time when affordability has become a dominant public concern.
And this is only the foundational model layer. On top of it sits a sprawling ecosystem of consumer applications, enterprise tools, device integrations and start-ups aiming to serve niches as specific as gyms and hair salons.
Users aren’t the only ones switching. The people who work at these companies move from one to another, a sharp contrast to work in Silicon Valley during the era of do-not-poach agreements.
The entire NYT piece is very good.
The post Jason Furman on AI contestability appeared first on Marginal REVOLUTION.
Emily Glazer, reporting for The Wall Street Journal:
The billionaire said he met with Epstein starting in 2011, years after Epstein had pleaded guilty in 2008 to soliciting a minor for prostitution. Gates said he was aware of some “18-month thing” that had limited Epstein’s travel but said he didn’t properly check his background. Gates said he continued meeting with Epstein even after his then-wife Melinda French Gates expressed concerns in 2013.
“Knowing what I know now makes it, you know, a hundred times worse in terms of not only his crimes in the past, but now it’s clear there was ongoing bad behavior,” Gates told staff. Speaking of his ex-wife, he added: “To give her credit, she was always kind of skeptical about the Epstein thing.”
“Kind of” is doing a lot of work there.
When re-hanging signage, “Mind your P’s and Q’s” ought to be “Mind your H’s and S’s”.
Terry Godier, in a thoughtful essay on the design of RSS feed readers:
There’s a particular kind of guilt that visits me when I open my feed reader after a few days away. It’s not the guilt of having done something wrong, exactly. It’s more like the feeling of walking into a room where people have been waiting for you, except when you look around, the room is empty. There’s no one there. There never was.
I’ve been thinking about this feeling for a long time. Longer than I probably should, given that it concerns something as mundane as reading articles on the internet. But I’ve come to believe that these small, repeated experiences shape us more than we like to admit.
So let me start with a question that’s been nagging at me: why do RSS readers look like email clients?
There are good answers to that question, and for 20-some years I’ve used a feed reader — NetNewsWire — that looks like an email client. (To be honest, I wish my email client looked and worked more like NetNewsWire.) But the bigger question Godier is asking is why don’t more feed readers try something fundamentally different?
He’s answered his own question with Current, a new feed reader for iPhone, iPad, and Mac.
At last night’s State of the Union address, President Donald Trump went on offense, seeming to try to set the terms for the upcoming midterm elections. Although the State of the Union in the past was an opportunity for the president to tell the American people where the country stood with regard to foreign affairs, finances, the economy, the public lands, and so on, it has, over the years, become more about messaging and future plans rather than a summing up of the past year.
With his approval ratings under 40%, administration officials mired in corruption scandals, and every one of his policies underwater, Trump delivered a campaign rally. To answer Americans’ concerns about his economic policies, the slowing of economic growth, and rising inflation, he insisted that he had “inherited a nation in crisis” but had “achieved a transformation like no one has ever seen before.” He proceeded to claim that the economy is booming, using statistics that were either made up or staggeringly misleading, like his boast that “in one year we have lifted 2.4 million Americans—a record—off of food stamps.” In fact, Republicans cut food assistance from those people, so they are indeed off the rolls, but “lifted” is doing a lot of work in that sentence.
In between his celebrations of what he assured the audience was a “golden age,” Trump turned the event into what appeared to be an awards show. “Our country is winning again,” he claimed. “In fact, we’re winning so much that we really don’t know what to do about it. People are asking me, please, please, please, Mr. President, we’re winning too much. We can’t take it anymore. We’re not used to winning in our country until you came along, we’re just always losing. But now we’re winning too much. And I say, no, no, no, you’re going to win again. You’re going to win big. You’re going to win bigger than ever. And to prove that point, to prove that point, here with us tonight is a group of winners who just made the entire nation proud. The men’s gold medal Olympic hockey team. Come on in!”
Trump said he would be awarding the nation’s highest civilian honor, the Presidential Medal of Freedom, to the goalie of that team, which had just won the gold medal at the Olympics.
He also presented two recipients with Purple Hearts, a military decoration awarded to service members killed or wounded in action; and one with the Legion of Merit award for exceptionally meritorious conduct in the performance of an outstanding service or achievement. Trump awarded two recipients the Medal of Honor, the U.S. military’s highest decoration for valor in action. After awarding one, Trump mused: “I’ve always wanted the Congressional Medal of Honor, but I was informed I’m not allowed to give it to myself, and I wouldn’t know why I’d be taking it. But if they ever opened up that law I will be there with you someday.”
Trump did not serve in the military.
But the party atmosphere was selective. Trump did not acknowledge the Epstein survivors in the audience, invited by Democratic representatives. Representative Al Green (D-TX) was escorted out after holding up a sign that referred to the president’s posting of an image of former president Barack Obama and former first lady Michelle Obama as apes, reading: “BLACK PEOPLE AREN’T APES.” And Trump’s descriptions of murders committed by undocumented immigrants—with apparent relish and with the victims’ family members in the audience—seemed to glorify cruelty and violence.
It seemed clear that Trump intends to try to persuade Americans who have soured on his economy and hate his immigration policies that they are wrong, and that both are, in fact, triumphs. He also appeared to try to answer concerns about the skyrocketing deficit on his watch by blaming immigrants for it, claiming that they are committing fraud that is “plundering” the country. He announced a “war on fraud to be led by our great Vice President J.D. Vance,” saying, “And we’re able to find enough of that fraud, we will actually have a balanced budget overnight.”
Trump’s tax cuts primarily benefited the wealthy and corporations, and pinning their effects on immigrants illustrates how Trump’s strongest calls were to his base. Not only did he portray immigrants as violent criminals, in a moment scripted for television, he then turned on Democrats in the chamber, setting them up to force them to back off their insistence on reforms to Immigration and Customs Enforcement (ICE) and Border Patrol by demanding that they stand to show their support for the statement: “The first duty of the American government is to protect American citizens, not illegal aliens.”
It was a deliberate division of the country into “us” and “them,” a classic authoritarian move, that he followed up by calling the Democrats “crazy” and claiming that “Democrats are destroying our country.” Facing a midterm election in which voters appear strongly to favor Democrats, Trump went out of his way to try to define them, rather than his own administration, as dangerous extremists.
Shawn McCreesh of the New York Times noted that deputy White House chief of staff Stephen Miller, an adherent of the Great Replacement theory who is the key figure driving the administration’s crusade against migrants, made it “clear that the night’s performance had been built around this moment.” Miller posted: “0 democrats stood for the foundational principle of all government that leaders must serve citizens before invaders. Never has there been a more stunning moment in Congress.”
And he was right, in a way, because it was indeed stunning that Republican members of Congress cheered and applauded at the attacks on their colleagues. In his 1951 The True Believer: Notes on the Nature of Mass Movements, philosopher Eric Hoffer noted that once people are wedded to a strongman, they will cling to him ever more tightly as his behavior becomes more and more erratic. This loyalty is in part to demonstrate their own devotion to the cause, and in part to justify their own attacks on those the strongman has given them permission to hurt.
The behavior of the Republican representatives was really the only memorable part of the evening. Trump’s almost two-hour State of the Union—the longest State of the Union address in history—felt pretty much like a Trump rally, full of outrageous exaggerations, lies, game show promises, and attacks, and those are old hat by now.
In contrast, the response to the State of the Union—which is usually deadly—was a breath of fresh air. Delivered by Virginia governor Abigail Spanberger, the response was short and clean, and in a refreshing change from Trump’s constant focus on himself, it centered the American people.
Spanberger noted that she was speaking from the Virginia House of Burgesses, where “[b]efore there was a Declaration of Independence, a Constitution, or a Bill of Rights—there were people in this very room” who “dreamed of what a new nation…could be.” She continued: “The United States was founded on the idea that ordinary people could reject the unacceptable excesses of poor leadership, band together to demand better of their government, and create a nation that would be an example for the world.”
“Tonight,” she said, “we did not hear the truth from our President.” She asked, is the president “working to make life more affordable for you and your family,” is he “working to keep Americans safe—both at home and abroad,” and is he “working for YOU?”
She noted that the rising costs of housing, healthcare, energy, and childcare are pressing everyone. Trump’s trade policies, especially tariffs, have hurt small businesses, farmers, and everyday Americans, while the “One Big Beautiful Bill Act” is forcing rural health clinics to close, stripping healthcare from millions of Americans, and cutting food programs for children.
Turning to the excesses of federal agents from ICE and Border Patrol, Spanberger highlighted her own career as a law enforcement officer working money-laundering and narcotics cases alongside local and state police to note that law enforcement requires “an abiding sense of duty and commitment to community.” “And yet,” she said, “our President has sent poorly trained federal agents into our cities, where they have arrested and detained American citizens and people who aspire to be Americans—and they have done it without a warrant.
“They have ripped nursing mothers away from their babies, they have sent children—a little boy in a blue bunny hat—to far-off detention centers, and they have killed American citizens on our streets. And they have done it all with their faces masked from accountability. Every minute spent sowing fear is a minute not spent investigating murders, crimes against children, or the criminals defrauding seniors of their life savings.”
“Our President told us tonight that we are safer because these agents arrest mothers and detain children,” she said. “Think about that. Our broken immigration system is something to be fixed—not an excuse for unaccountable agents to terrorize our communities.”
At the same time, she said, the president “continues to cede economic power and technological strength to China, bow down to a Russian dictator, and make plans for war with Iran.” “[T]hrough [the Department of Government Efficiency], mass firings, and the appointment of deeply unserious people to our nation’s most serious positions, our President has endangered the long and storied history of the United States of America being a force for good.”
“In his speech tonight,” she said, “the President did what he always does: he lied, he scapegoated, and he distracted. He also offered no real solutions to our nation’s pressing challenges—so many of which he is actively making worse.” Who is benefitting from “his rhetoric, his policies, his actions, and the short list of laws he’s pushed through this Republican Congress?” she asked.
“He’s enriching himself, his family, his friends,” she said. “The scale of the corruption is unprecedented. There’s the cover-up of the Epstein files, the crypto scams, cozying up to foreign princes for airplanes and billionaires for ballrooms, putting his name and face on buildings all over our nation’s capital. This is not what our founders envisioned. So, I’ll ask again: Is the President working for you?”
“We all know the answer is no.”
“But here is the special thing about America,” she said. “[W]e know better than any nation what is possible when ordinary citizens—like those who once dreamed right here in this room—reject the unacceptable and demand more of their government.” She noted the power of the Americans taking action across the country to protest the government and to vote. “With their votes,” she said, “they are writing a new story.”
In November, Spanberger said, she won her election by 15 points, earning votes “from Democrats, Republicans, Independents, and everyone in-between; because they knew as citizens, they could demand more. That they could vote for what they believe matters, and they didn’t need to be constrained by a party or political affiliation.” In that election, Democrats flipped legislative seats in Georgia, Iowa, Mississippi, and Texas. Now “[o]rdinary Americans are stepping up to run…to demand more and do more for their neighbors and communities.”
“Those who are stepping up now to run will win in November because Americans know you can demand more, and that we are working to lower costs, we are working to keep our communities and country safe, and we are working for you,” she said.
“In his Farewell Address,” she concluded, “George Washington warned us about the possibility of ‘cunning, ambitious, and unprincipled men’ rising to power. But he also encouraged us—all Americans—to unite in ‘a common cause’ to move this nation forward. That is our charge once more. And that is what we are seeing across the country.
“It is deeply American and patriotic to do so, and it is how we ensure that the State of our Union remains strong, not just this year but for the next 250 years as well.”
—
Notes:
https://www.kwtx.com/2026/02/25/read-complete-transcript-trumps-2026-state-union/
https://www.fox5dc.com/news/spanbergers-response-trumps-state-union-full-transcript
https://www.nytimes.com/2026/02/25/us/politics/trump-state-of-the-union-scene.html
https://www.cnn.com/2026/02/24/politics/al-green-escorted-out-trump-state-of-the-union-protest
Bluesky:

In pursuit of defeating death, Alan has dedicated his life to cryonics. He hopes to be defrosted together with his wife
- by Aeon Video

The Indian thinker Rammohun Roy believed that good governance must be close: distance made the British Empire cruel
- by Shomik Dasgupta
Many of the topics that we’ve all been discussing about technology these days seem to matter so much more, and the stakes have never been higher. So, I’ve been trying to engage with more conversations out in the world, in hopes of communicating some of the ideas that might not get shared from more traditional voices in technology. These recent conversations have been pretty well received, and I hope you’ll take a minute to give them a listen when you have a moment.
First, it was nice to sit down with Charlie Warzel, as he invited me to speak with him on Galaxy Brain (full transcript at that link), his excellent podcast for The Atlantic. The initial topic was some of the alarmist hype being raised around AI within the tech industry right now, but we had a much more far-ranging conversation, and I was particularly glad that I got to articulate my (somewhat nuanced) take on the rhetoric that many of the Big AI companies push about their LLM products being “inevitable”.
In short, while I think it’s important to fight their narrative that treats big commercial AI products as inevitable, I don’t think it will be effective or successful to do so by trying to stop regular people from using LLMs at all. Instead, I think we have to pursue a third option, which is a multiplicity of small, independent, accountable and purpose-built LLMs. By analogy, the answer to unhealthy fast food is good, home-cooked meals and neighborhood restaurants all using local ingredients.
The full conversation is almost 45 minutes, but I’ve cued up the section on inevitability here:
Next up, I got to reconnect with Rabble, whom I’ve known since the earliest days of social media, for his podcast Revolution.Social. The framing for this episode was “Silicon Valley has lost its moral compass” (did it have one? Ayyyyy) but this was another chance to have a wide-ranging conversation, and I was particularly glad to get into the reckoning that I think is coming around intellectual property in the AI era. Put simply, I think that the current practice of wholesale appropriation of content from creators without consent or compensation by the AI companies is simply untenable. If nothing else, as normal companies start using data and content, they’re going to want to pay for it just so they don’t get sued and so that the quality of the content they’re using is of a known reliability. That will start to change things from he current Wild West “steal all the stuff and sort it out later” mentality. It will not surprise you to find out that I illustrated this point by using examples that included… Prince and Taylor Swift. But there’s lots of other good stuff in the conversation too! Let me know what you think.
As I’ve been writing more here on my site again, many of these topics seem to have resonated, and there have been some more opportunities to guest on podcasts, or invitations to speak at various events. For the last several years, I had largely declined all such invitations, both out of some fatigue over where the industry was at, and also because I didn’t think I had anything in particular to say.
In all honesty, these days it feels like the stakes are too high, and there are too few people who are addressing some of these issues, so I changed my mind and started to re-engage. I may well be an imperfect messenger, and I would eagerly pass the microphone to others who want to use their voices to talk about how tech can be more accountable and more humanist (if that’s you, let me know!). But if you think there’s value to these kinds of things, let me know, or if you think there are places where I should be getting the message out, do let them know, and I’ll try to do my best to dedicate as much time and energy as I can to doing so. And, as always, if there’s something I could be doing better in communicating in these kinds of platforms, your critique and comments are always welcome!
Who is the greatest economist of all time? This paper provides one potential measure that, along with other considerations, can contribute to debates on who the greatest economist of all time is. We build a novel dataset on the percentage of history of economic thought textbooks dedicated to top economists, using 43 distinct textbooks (1st editions, when available) published between 1901 and 2023. As a percentage of total book pages, Adam Smith has the highest share at 6.69%, beating out Ricardo (5.22%), Mill (3.83%), and Marx (4.36%). Just over 32% of all textbooks allocated most of their pages to Adam Smith, followed by Marx with 18.6%, Mill with 13.95%, and Ricardo with 11.3%. While interesting as a history of economic thought project, such an exercise isn’t merely amusing pedantry; it can provide insight into the types of contributions, research questions, and methodologies that have had the most enduring impact in economics. It may also inform future authors of history of economic textbooks.
That is from a new paper by Gabriel Benzecry and Daniel J. Smith. There is of course also my generative book on this topic at econgoat.ai.
The post One measure of economics GOAT appeared first on Marginal REVOLUTION.
Prabhdeep Singh, 18, Ontario, works on AI.
Jiratt Keeratipatarakarn, Hamburg, international prospects for drug approval reform.
Brandon Rutagamirwa, London, robots to repair satellites.
Eli Elster, UC Davis, anthropology, general career support.
Liam Aranda-Michel, MIT/San Francisco, a minimally invasive, injectable microvascular therapy.
Tanish Mantri, sophomore in high school, Jackson, Miss., AI for diagnosis.
Anrea Giuri, Stanford, developing closed-loop environments for high-throughput polymer discovery.
Clara Collier, Oakland, Asterisk magazine.
Simon Grimm, WDC/Germany, “what Germany should do.
Stephen Davies, UK, networks and mentoring.
Shani Zhang, San Francisco, to artistically capture SF.
Mia Albert, 17, Miami, an app for sharing events.
Rayne Wallace, 18, Ontario, the origins of life.
Jonathan Sheinman, London/Israel, AI and real estate regulation.
Louis Elton, London, The British Craeft Prize, to improve aesthetics.
Peter Mukovskiy, 19, Zurich, quantum computing, to visit MIT.
Rutger Nagel, Leiden, 17, AI and operating systems
Smrithi Sunil, Ann Arbor, Michigan, science and meta-science writing.
Honey Louise, London, to be a “defense influencer.”
Arhum Ahmed, Los Angeles area, quantum-protected systems.
Here are previous EV cohorts.
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Seraphim Space announced Feb. 25 it has completed fundraising for its second private early-stage venture fund, after exceeding its $100 million target to back young space technology startups.
The post Seraphim closes second early-stage space fund above $100 million target appeared first on SpaceNews.




February is one of the driest months of the year in northern Colombia’s Córdoba department, a major farming and cattle region. It’s the time of year when farmers normally prepare fields for planting and ranchers move livestock to graze in drying floodplains. In 2026, however, unusually heavy rains in early February upended seasonal rhythms and submerged much of the department under floodwaters.
The OLI (Operational Land Imager) on Landsat 9 captured this false-color image (bands 7-5-4) of flooding along the Sinú River on February 9, 2026 (right). Dark floodwaters cover farmland, pastureland, and several communities, particularly to the west of the river. To the east, water levels at a complex of wetlands are unseasonably high. Lorica, a city of roughly 90,000 people, is visible in the upper part of the image. The OLI image on the left shows the same area on January 23, before floodwaters arrived.
After an already wet January, rainfall intensified in early February when an unusual cold front in the Caribbean pushed south on February 1 and 2, forcing moisture-laden air into northern Colombia and over the Andes. This led to several days of intense downpours in Córdoba, with some areas receiving more than 4 to 7 centimeters (2 to 3 inches) of rain per day, according to one analysis of the event.
NASA’s IMERG (Integrated Multi-satellite Retrievals for Global Precipitation Measurement) estimated rain rates of 1.7 centimeters per hour near Lorica on February 1, the day of the heaviest rains. In the following weeks, storms continued to drench the region. On February 25, imagery from NASA’s Terra satellite indicated that flooding remained widespread.
The floods have been far-reaching and destructive. More than 80 percent of Córdoba flooded, according to the UN Office for the Coordination of Humanitarian Affairs. Preliminary estimates cited by news and government sources suggest that thousands of homes were destroyed, more than 11,000 families displaced, and more than 150,000 hectares of farmland inundated.
NASA Earth Observatory images by Michala Garrison, using Landsat data from the U.S. Geological Survey. Story by Adam Voiland.
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Heavy rains and flooding across the country since June 2025 have displaced millions of people, devastated infrastructure, and submerged farmland.

Weeks of intense rain overwhelmed rivers and reservoirs, displacing hundreds of thousands of people.

A rare tropical cyclone dropped torrential rains on the Indonesian island, fueling extensive and destructive floods.
The post Dry-Season Floods Drench Northern Colombia appeared first on NASA Science.