Approved Thoughts

The big news in markets this week was this report from Citrini Research & Alap Shah that apparently crashed the markets and led to a lot of debate in our office. It lays out a "fast take-off" scenario for AI, which causes mass layoffs of white-collar emplopyees as AI replaces intelligence work and starts off an economic downward spiral as demand collapses.

It should have been clear all along that a single GPU cluster in North Dakota generating the output previously attributed to 10,000 white-collar workers in midtown Manhattan is more economic pandemic than economic panacea. The velocity of money flatlined. The human-centric consumer economy, 70% of GDP at the time, withered. We probably could have figured this out sooner if we just asked how much money machines spend on discretionary goods. (Hint: it's zero.)

AI capabilities improved, companies needed fewer workers, white collar layoffs increased, displaced workers spent less, margin pressure pushed firms to invest more in AI, AI capabilities improved…

It was a negative feedback loop with no natural brake. The human intelligence displacement spiral. White-collar workers saw their earnings power (and, rationally, their spending) structurally impaired. Their incomes were the bedrock of the $13 trillion mortgage market - forcing underwriters to reassess whether prime mortgages are still money good.

The report found many believers in markets but I find myself on the skeptical side, much more pusuaded by the many pushback articles which are grounded in conventional economic theory. And they came from many sources.

Here's Tyler Cowen in his cryptic style. Here's Zvi with the inverse. And finally here's Citadel.

And lastly, here's Claude summarizing it all and adding its own perspective:

Why Citrini's Scenario Doesn't Add Up The piece is an excellent thought experiment and a useful sector-level vulnerability map. The macro conclusion — that AI abundance causes a demand collapse and systemic crisis — is built on a fundamental accounting error.

The Core Contradiction: Every Loss Is Someone Else's Gain The entire scenario rests on a demand collapse: AI replaces workers, workers stop spending, the economy spirals. But the same force destroying jobs is also destroying prices. If a Claude agent does the work of a $180K PM for $200/month, then everything that PM helped produce also gets dramatically cheaper. The piece catalogs agents slashing insurance premiums, SaaS costs, delivery fees, real estate commissions, and interchange — then claims displaced workers can't afford things. Which things? The things that just got 80% cheaper?

Every corporate revenue loss in the piece is a gain on the other side. ServiceNow loses $500K in licenses — that's $500K freed for the client. DoorDash loses its 30% take rate — drivers earn more, consumers pay less. Real estate commissions drop from 6% to 1% — that's a 5% stimulus to every home purchase. SaaS fees are a tax on business. That tax went down.

Meanwhile, the piece describes NVIDIA posting records, hyperscalers spending $150-200B/quarter, AI companies thriving. Someone is paying for all of that. You cannot have booming AI revenues and an economy where nobody is spending. The money doesn't vanish — it circulates through different channels. The piece tracks one side of every transaction and ignores the other.

The Timeline Is Physically Impossible The scenario requires mass deployment across every major industry in ~30 months. Enterprise procurement cycles, organizational restructuring, regulatory review, and infrastructure buildout don't move at this speed. More critically: there isn't enough compute on Earth to run always-on agents for every American consumer while simultaneously replacing most white-collar work by 2028. The compute constraint alone paces everything and makes this timeline a non-starter. Even clearly superior technologies (electricity, the internet) took decades to restructure economies.

Zero Policy Response for Two Years Is Ahistorical The US deployed trillions within weeks during COVID. Automatic stabilizers activate immediately when unemployment rises. The piece treats political difficulty in designing optimal long-term policy as equivalent to no response at all.

More importantly: in a world with booming real output and deflation, aggressive fiscal stimulus is straightforwardly correct — you have too much output and not enough demand, so you print money without inflationary risk. During COVID, stimulus risked inflation because real production was down. Here, real production is exploding. This is the easiest macro policy environment imaginable.

What's Actually Useful in the Piece The sector-level analysis of which business models are vulnerable is genuinely good. SaaS pricing power, intermediation platforms, payments, insurance built on inertia, real estate brokerage — anything dependent on friction or information asymmetry is legitimately threatened. The private credit / insurance / reinsurance daisy chain is a real and underappreciated fragility.

The transition will be uneven. Specific sectors, geographies, and demographics will get hit hard, and the speed of disruption concentrated in high-earning white-collar cohorts could cause real dislocations even if the macro aggregates are fine. That's worth positioning around.

But the mechanism for how sectoral disruption becomes a macro demand collapse is where the analysis fails — because it treats every efficiency gain as pure destruction rather than a transfer from incumbents to consumers. Read it as a sector vulnerability map, not a macro forecast.

Going back to the title of my last post from Singapore, there's clearly been a vibe-shift when it comes to what the latest models can do. In early Jan only those focused on AI were feeling it and now it is going more mainstream. But that's no reason to fall prey to half-baked thinking. Let Claude taste it and cook it for you.

AI Links

1. The singularity won't be gentle:

   If AI has even a fraction of the impact that many people in Silicon Valley now expect on the fabric of work and daily life, it’s going to have profound and unpredictable political impacts.

2. Rebuilding our world, with reference to strong AI:

   When 2012 passed into 2013, we did not have to rebuild our world, not in most countries at least. It sufficed to make adjustments at the margin.

   After the Roman Empire fell, parts of Europe had to rebuild their worlds. It took a long time, but they ended up doing pretty well.

   After the American Revolution, the newly independent colonies had to rebuild their own world. They did so brutally, but with considerable success.

   After WWII, Western Europe had the chance to rebuild its own world, and did a great job.

   We moderns are not used to having to rebuild our world.

   It is now the case that strong AI is here/coming, and we will have to rebuild our own world. Many of us are terrified at this prospect, others are just extremely pessimistic. It seems so impossible. How are all the new pieces supposed to fit together? Who amongst us can explain that process in a reassuring way?

   Yet we have done it many times before. Not always with success, however. After WWI ended, Europe was supposed to rebuild its own world, but they came up with something far worse than what they had before. Nonetheless, in the broader sweep of history world rebuilding projects have had positive expected value.

   And so we will rebuilding our world yet again. Or maybe you think we are simply incapable of that.

   As this happens, it can be useful to distinguish “criticisms of AI” from “people who cannot imagine that world rebuilding will go well.” A lot of what parades as the former is actually the latter.

   In any case, it all will be quite something to witness.

3. Death of Software. nah.:

   Strap in. This is the most exciting time for business and technology, ever.

4. AI Doesn't Reduce Work - It Intensifies It:

   I think we've just disrupted decades of existing intuition about sustainable working practices. It's going to take a while and some discipline to find a good new balance.

5. Seb Krier: Some of this was weirdly scary.

5. Family deepfakes help people celebrate and grieve in India:

   When the lights dimmed at Jaideep Sharma’s wedding reception in the north Indian city of Ajmer, guests expected to see a cheesy montage of the young couple in various attractive locations. Instead, they saw Sharma’s father — dead for more than a year — on the screen, smiling and blessing the newlyweds.

6. I spent $10,000 to automate my research at OpenAI with Codex

7. My AI Adoption Journey

8. Agent Skills with Anthropic

Other Stuff

1. ‘They All Tried to Break Me’: Gisèle Pelicot Shares Her Story: Words fail me.

   I think we’re going to do great things together. I think we’ll make the most of these beautiful years we have left, and I hope they’ll last very long.

   Amen.

2. Navigating ER / Hostpital in US:

   The most important thing I've learned about hospitals over the last decade: if your loved one needs to be admitted to the hospital, chances are they will get incredible care... as long as that care can be immediately administered in the ED.

   However, if they need to move outside the ED, you must learn as much as you can so you can help expedite the process, advocating to them to get to where they need to go — usually an inpatient floor, as quickly as possible.

   The stakes are probably higher than you think.

3. The Economics of a Super Bowl Ad:

5. Codex:

   No, this is not an AI post. Codex is a NYC bookshop at 1 Bleecker St., at Bowery. It is quite extraordinary in its curation of used books. The fiction section is large, yet you can pick up virtually any title on the shelves and it is worth reading. A wonderful place to go to get reading ideas, plus the prices are reasonable and the used books are in decent shape. Such achievements should be praised.

6. Record Low Crime Rates Are Real, Not Just Reporting Bias Or Improved Medical Care:

   This post will do two things:

   1. Establish that our best data show crime rates are historically low

   2. Argue that this is a real effect, not just reporting bias (people report fewer crimes to police) or an artifact of better medical care (victims are more likely to survive, so murders get downgraded to assaults)

7. Rob Johnson:

8. What it was like to be a bush at Bad Bunny’s Super Bowl performance:

   Some of the biggest stars to emerge from this year's Super Bowl halftime show never even showed their faces on camera. They were the ones who dressed as bunches of grass to transform a football stadium into the sugarcane fields of Puerto Rico.

1. The Reverse-Centaur’s Guide to Criticizing AI:

   Over the summer I wrote a book about what I think about AI, which is really about what I think about AI criticism, and more specifically, how to be a good AI critic. By which I mean: "How to be a critic whose criticism inflicts maximum damage on the parts of AI that are doing the most harm." I titled the book The Reverse Centaur's Guide to Life After AI, and Farrar, Straus and Giroux will publish it in June, 2026.

   But you don't have to wait until then because I am going to break down the entire book's thesis for you tonight, over the next 40 minutes. I am going to talk fast.

2. The Best Philosophy Lectures on YouTube:

   Platforms like YouTube are the home of most slop, but they are also home to some fantastic educational content. I’ve compiled a list of philosophy lectures which you can enjoy, free of charge, to further your philosophical education.

3. Everyone is Gambling and No One is Happy:

   A few weeks ago, Michael Green wrote an article stating that $140k is the new poverty line, that no one can afford to participate in society. It took over the Internet in a fiery storm. There have been many rebuttals, from Tyler Cowen to Jeremy Horpedahl. But the reaction to the piece was very interesting, as John Burn Murdoch wrote about.

   People overwhelmingly agreed with the article (many of the rebuttals to the rebuttals were “who cares if the math is wrong, the vibe is correct!). Both More Perfect Union and the Free Press republished it. People on both sides of the aisle, read the article and said “Well, yes, that is why things feel so bad. This is poverty. My economic pain is justified by the data now. What a relief.”

4. Tangled Parachute Leaves Skydiver Hanging From Plane (NYT): Video at the link.

1. The Algorithmic Turn: The Emerging Evidence On AI Tutoring That's Hard to Ignore: An excellent and balanced piece on impact of AI on education.

   The Harvard study was conducted using GPT-4 in autumn 2023; by the time the paper was published in 2025, the underlying technology had already advanced. If AI tutoring can produce effect sizes of 0.73 to 1.3 standard deviations now, whilst still requiring pre-written solutions and careful scaffolding to prevent errors, what happens when the models can reason through physics problems independently? When they can diagnose misconceptions in real time? When they can adapt not just to individual students but to culturally specific contexts?

   and

   Yet there is a troubling paradox at the heart of AI tutoring. The very same technology that can produce effect sizes above 0.7 standard deviations can also make students demonstrably worse at learning. And I would argue that the harmful version is the one most students are currently using today.

2. If a bot passes your exam, what are you teaching?

   My Tools in Data Science course has a Remote Online Exam. It was so difficult that, in 2023, it sparked threads titled “What is the purpose of an impossible ROE?”

   Today, despite making the test harder, students solve it easily with Claude, ChatGPT, etc.

3. The Effect of Video Watching on Children’s Skills:

   This paper documents video consumption among school-aged children in the U.S. and explores its impact on human capital development. Video watching is common across all segments of society, yet surprisingly little is known about its developmental consequences. With a bunching identification strategy, we find that an additional hour of daily video consumption has a negative impact on children’s noncognitive skills, with harmful effects on both internalizing behaviors (e.g., depression) and externalizing behaviors (e.g., social difficulties). We find a positive effect on math skills, though the effect on an aggregate measure of cognitive skills is smaller and not statistically significant. These findings are robust and largely stable across most demographics and different ways of measuring skills and video watching. We find evidence that for Hispanic children, video watching has positive effects on both cognitive and noncognitive skills—potentially reflecting its role in supporting cultural assimilation. Interestingly, the marginal effects of video watching remain relatively stable regardless of how much time children spend on the activity, with similar incremental impacts observed among those who watch very little and those who watch for many hours.

4. Friction Was the Feature:

   There was a time when applying for a job meant choosing a handful of roles, tailoring a resume, and writing a real cover letter. The effort was a nuisance, but it quietly enforced focus. If you were going to burn a Saturday on an application, you probably cared about the job.

   Today, a candidate armed with an LLM can parse dozens of job postings, lift phrasing from each, and generate a set of keyword-optimized cover letters in no time. They can auto-tailor their resume to each posting. They can submit 30 applications in one sitting.

   This is better, right?

   Not for anyone, actually. Applications soar; recruiters drown. So we bolt on more automation: applicant tracking systems, resume parsers, AI interview schedulers. We convince ourselves we’ve built a better machine, but we haven’t redesigned the only machine that matters: the system matching the right people to the right work.

5. Nano Banana Pro aka gemini-3-pro-image-preview is the best available image generation model: Read the whole thing and never believe an image again.

   That’s a pretty extraordinary result for such a simple prompt. The text is all spelled correctly and rendered without glitches. The content is solid too—it even included logos for the most popular publish platforms, and a tiny thumbnail of the Datasette UI which is close-enough for an infographic.

6. Optimize your LinkedIn:

7. The Constitution of Innovation:

   However around 1980, this unprecedented growth period ended. While the United States maintained a remarkably constant 2 percent growth rate in average income, the European core economies decelerated, slowly and then sharply. Since 1995, Europe’s average annual growth has been just 1.1 percent; since 2004, it has been a mere 0.7 percent – all while the United States has continued on its steady track. By 2022 the relative gap in output per head has returned to where it was in 1970. Decades of convergence were surprisingly wiped out.4

8. Norway's Wealth Tax Unchains a Capital Exodus: Perhaps Norway needs to click the previous link.

   Norway's wealth tax increase, expected to raise $146M, led to a $448M net loss as $54B in wealth left the country, reducing tax revenue by $594M.

9. ‘Are they going to eat me alive?’: trail runners become prey in newest form of hunting:

   Would you like to be chased by a pack of hounds? It’s a question often put to highlight the cruelty of hunting, because the answer would seem to be no. Or so you would think.

   Yet increasing numbers of people are volunteering to be chased across the countryside by baying bloodhounds in what could soon be the only legal way to hunt with dogs in England and Wales, rather than pursuing animals or their scents.

10. She Took JPMorgan for $175 Million. That Doesn’t Include Her Restaurant Bills.:

    In September, Ms. Javice, 33, was sentenced to more than seven years in prison for fraud. In 2021, JPMorgan Chase acquired her start-up, Frank, for $175 million. Ms. Javice had claimed her company helped millions of people fill out their federal financial aid forms.

    After the acquisition, however, the bank discovered that she had lied about most of Frank’s customers. JPMorgan sued, and then prosecutors put Ms. Javice on trial. A jury convicted her this year.

    Along the way, Ms. Javice won a ruling that required the bank to pay her legal fees. JPMorgan has objected to the size of the fees in the past, and after her sentencing it decided to try to cut her off. The bank is trying the same maneuver with her former chief growth and acquisition officer, Olivier Amar, who was also convicted of fraud.

11. Dog Accidentally Shoots and Injures a Pennsylvania Man, the Police Say: No comment.

    The man had been cleaning a shotgun and placed it on the bed shortly before it was fired. He received treatment at an area hospital.

1. Landon Donovan’s new hair, and the side effect he wasn’t expecting (NYT): As a man of a certain age, this hit a little too close to home. But, hats off (heheh!) to the man for having the courage to participate in a story like this. Making the world a hair safer for the rest of us.

   Donovan’s journey to a hair system started two decades ago when, as a 20-year-old, he noticed his hair was receding. He remembers one moment when he was warming up for a game against FC Dallas in Frisco and fans started chanting at him: “Rogaine! Rogaine!”

2. Populism fast and slow:

   Working through the consequences of this, it is not difficult to see why the left has been unable to get much traction out of these changes, especially in developed countries. People are not rebelling against economic elites, but rather against cognitive elites. Narrowly construed, it is a rebellion against executive function. More generally, it is a rebellion against modern society, which requires the ceaseless exercise of cognitive inhibition and control, in order to evade exploitation, marginalization, addiction, and stigma. Elites have basically rigged all of society so that, increasingly, one must deploy the cognitive skills possessed by elites to successfully navigate the social world. (Try opening a bank account, renting an apartment, or obtaining a tax refund, without engaging in analytical processing.) The left, to the extent that it favours progress, is essentially committed to intensifying the features of the modern world that impose the greatest burdens of self-inhibition on individuals.

   Seeing things in this way makes it easier to understand why people get so worked up over seemingly minor issues, like language policing. The problem with demanding political correctness in speech, and punishing or ostracizing those who fail, is that it turns every conversation into a Stroop test, allowing elites the opportunity to exhibit conspicuous self-control. It requires the typical person, while speaking, to actively suppress the familiar word that is primed (e.g. “homeless”), and to substitute through explicit cognition the recently-minted word that is now favoured (e.g. “unhoused”). Elites are not just insensitive, but positively dismissive of the burdens that this imposes on many people. As a result, by performing the cognitive operation with such fluidity, they are not only demonstrating their superiority, they are rubbing other people’s faces in it. (From this perspective, it is not surprising that the demand for “they/them” pronouns upset some people even more, because the introduction of a plural pronoun forces a verb change, which requires an even more demanding cognitive performance.)

3. Age Inversion:

   Everyone under 30 is prematurely old (worried about savings, career, FIRE).

   Everyone over 50 is desperately young (Burning Man, psychedelics).

   My theory: Information abundance aged the young by showing them all future problems all at once.

   Information abundance also made the old young by showing them all missed experiences all at once.

   So now Gen Z talks like retirement planners and boomers act like teenagers.

   It's so over.

1. Happy Diwali to those who celebrate! NYT had two glossy stories on just one Diwali Ball in New York organized by Priyanka Chopra's manager. Made me go "Hmmm...". Was this about Diwali, was this about Priyanka Chopra or was this something else?

2. London Became a Global Hub for Phone Theft. Now We Know Why. Not a fan of clickbait headlines in NYT TBH but this story was revealing. I was under the impression that phone theft was a thing of past because of the hard to crack passcodes. Turns out not. The article didn't make it very clear how the thieves could get the phones working again. Apparently they can be sold for parts and something something China. Anyway, time to be careful out there again.

3. The pendulum has swung away from wokeness and cancel culture, as it should have. But sometimes it feels like, instead of passing through the center it went straight to the other end.

4. Title Arbitrage as Status Engineering:

   Title arbitrage is one of the most scalable levers a company can pull to increase the status of certain roles and attract talent. It costs nothing, works at scale, yet has the ability to reshape labor markets. The design space for title arbitrage remains wide open.

5. There are many ways through which the LLM subscriptions pay for themselves. For me it was physiotherapy. Here it is filing tax returns. I also wish more people would share "how tos" for solving different problems with LLMs. Here's a manual for tax returns. Full disclosure: I haven't tried it yet but the source is credible.

6. Five technological achievements! (That we won’t see any time soon.):

7. Observations on AI and the Capital Markets in 2025

   "To provide some sense of scale, that means the equivalent of about $1,800 per person in America will be invested this year on AI". That is a bucketload of spending.

8. China Can't Win: Retweets are not endorsments, as they say. However there is a chorus of experts out there loudly claiming that China holds the upper hand in the tariff negotiations with US. I am not so sure and this looks like a worthwhile counterpoint. Added to reading list.

   China cannot win the decoupling because they face an impossible trilemma: protect the currency, bail out the banks, or maintain social stability. They can pick two at most. More likely, they get one. The math is unforgiving: $5-10 trillion in hidden property losses against $3 trillion in bank equity. That’s not a solvency problem—it’s a physics problem. Meanwhile, they’re bleeding $1.1 trillion annually just to hide the losses, burning their entire defense and R&D budget combined on financial zombies.

9. Now that wokeness is over, is it ok to link to Louis CK clips again? Can one separate the art from the artist? I don't know but I love this one:

1. An Economists Guide to Weight Loss: Pre-Ozempic. New Year Resolution?

2. The Patel Motel Story: I hope its well done. Must watch.

3. 99 Percentile vs. 99.9 Percentile: Some of the responses are insightful too. This can be the problem of growing up in a small town or going to a "weaker" school for a certain type of person.

4. Bernie Madoff Stole My Savings. Here’s How I Got My Life Back.: Hats off.

   I think people who are facing a sudden reversal can learn from my experience. You can get through it. You have family, you have friends, you have resources that you don’t even know that you have.

5. Average? I had to go down about 100 responses before someone asked, "Man or woman?"

1. Pulse: These days my morning work routine starts with trying to replicate this functionality through the use of multiple prompts and GPTs, so I am looking forward to when then feature comes to cattle class subscriptions.

2. YouTube Star MrBeast Is Building an Entertainment Empire - Bloomberg: Beast Industries sounds like a regular corporation with regular corporate problems.

   Right now, however, Beast Industries is hemorrhaging money. It’s had three years of losses, including more than $110 million in 2024. The viral videos account for all of it, overwhelming the profits from Feastables. Donaldson has been spending between $3 million and $4 million on every video he produces for the main YouTube channel, most of which lose money. In 2023, Beast spent $10 million to $15 million shooting videos it never released to the public because they weren’t up to its standards. He also lost tens of millions of dollars producing Beast Games, a popular show for Amazon Prime Video in which 1,000 people competed for $10 million by, among other things, moving a 10,000-pound boulder.

Ignoring the hype up top, Google does seem to be creating some practical tools with LLMs. With base LLMs getting quite good now, I wonder if the next unlock is in creating tools with customized workflows for specific tasks. Wrappers.

4. Periodic Videos

1. IST: Indian Spotlight Time:

   Exploring the India that often escapes headlines through the lived experiences of an ABCG: American Born Confused Gora. It’s a look beyond polished narratives and the obvious into the beautiful contradictions that actually power the country.

3. tokens are getting more expensive: A good discussion of why the AI Labs might stuggle with profitability.

   while it's true each generation of frontier model didn't get more expensive per token, something else happened. something worse. the number of tokens they consumed went absolutely nuclear.

4. Patrick OShaughnessy podcast with Joe Liemandt, Principal @ Alpha School

5. Failure of imagination is the only thing holding us back!

1. Philosopher–Builder Summer Reads:

   These aren't generic "tech books." They're works that can shape how serious builders think about what they're creating and why.

   And the original essay.

2. DOGE builds AI tool to cut 50 percent of federal regulations:

   The tool, called the “DOGE AI Deregulation Decision Tool,” is supposed to analyze roughly 200,000 federal regulations to determine which can be eliminated because they are no longer required by law, according to a PowerPoint presentation obtained by The Post that is dated July 1 and outlines DOGE’s plans. Roughly 100,000 of those rules would be deemed worthy of trimming, the PowerPoint estimates — mostly through the automated tool with some staff feedback. The PowerPoint also suggests the AI tool will save the United States trillions of dollars by reducing compliance requirements, slashing the federal budget and unlocking unspecified “external investment.”

   A worthy goal for DOGE and possibly the right use of AI. If done well.

3. America's AI Action Plan Is Pretty Good:

   Otherwise, while this is far from a perfect plan or the plan I would choose, on the substance it is a good plan, a positive plan, with many unexpectedly good plans within it. There is a lot of attention to detail in ways those I’ve asked say reflect people who actually know what they are doing, which was by no means something to be taken for granted. It is hard to imagine that a much better plan could have been approved given who was doing the approving.

5. Two long & good pieces on India this week though I have yet to fully read both.

6. Jhanas and Jhourney:

   So I went down to the beach. "Kinda nice", I thought. The sky had a particularly vibrant blue color, the waves had 'the right size', their roar was pleasant. I started to walk around trying to continue meditating. I focused my awareness on an arising sensation of open heartedness and then I noticed my eyes tearing up ("Huh? I thought"). I looked again at the ocean and then I saw it. It was fucking amazing. So much color and detail: waves within waves, the fractal structure of the foamy crests as they disintegrate back into the ocean. The feeling of the sun on my skin. I felt overwhelmed. As tears ran down my face and lowkey insane grin settled on my face I found myself mumbling "It's... always been like this!!!!" "What the fuck??!" followed by "This is too much!! Too much!!!". The experience seemed to be demanding from me to feel more joy and awe than I was born to feel or something like that. In that precise moment I felt what "painfully beautiful" means for the first time in my life. I had to look away. I calmed a bit. I walked a few steps and looked back. The exact same thing happened. "It's reproducible, hihihihi", and I started laughing. Then I found a log to sit on, calm down, and look back at the ocean. Now it wasn't overwhelming, but "kinda nice" was now "fucking amazing".

   To do list.

7. Yes, Adam Sandler really is a pickup basketball god (NYT Paywall):

   Jackson was struck by the man’s attire: extra-baggy shorts and an extra-baggy yellow T-shirt. “I’m trying to figure out: Does he buy clothes? Did he buy them and then just stop buying them? His clothes really might have been from 2008.” It soon became apparent, however, that the guy could play. He was a true court general. He impressed Jackson with his basketball IQ.

8. Life in deep:

   When her three-person submersible descended more than 30,000 feet into one of the Pacific Ocean’s deepest trenches, Mengran Du wasn’t sure what they would find.

   What she saw, she recalled, was “unbelievable”: Dense clusters of tubeworms with tentacles tinged bloodred, jutting up like skyscrapers. Iridescent snails scaling the worms, like window washers. Bristly, white creatures wriggling between them like rush-hour commuters trying to get home for dinner.

10.

Some readers have commented that I am obsessed with AI. This is not correct. I wish I was. But is there anything more interesting happening in the world right now? I don't think so.

1. Musician Who Died in 2021 Resurrected as Clump of Brain Matter, Now Composing New Music:

   Art can outlast the artist — but what about their artistic impulses?

   A new art installation project in Australia, titled "Revivification," raises this question with a very literal interpretation of "impulse": using his DNA, the team behind the project have performed a quasi-resurrection of the late experimental American composer Alvin Lucier, creating a sort of brain that continuously composes music on the fly with its errant electrical signals.

   At the center of the piece is an "in-vitro brain," grown from blood that Lucier, who passed away in 2021, donated in the final years of his life. Housed in a plinth, it's grown on top of an electrode mesh that connects it to twenty large brass plates placed around the room. Visitors can listen as the brain fires off electrical pulses that trigger a transducer and a mallet behind each plate, striking them to produce sound.

   Is this art? Is this science? Is this composing?

2. Gross(ery) Confusion:

   Teachout’s idea that suppliers “make up the difference” by charging smaller stores more is also economically incoherent. Profit-maximizing firms already charge what the market will bear. If Costco’s volume justifies a discount, that doesn’t mean suppliers can or should charge higher prices to other buyers. Yes, there are models where costs change with volume but costs could go down with volume and, in any case, those models don’t rely on the folk theory of “making up the difference.”

3. AIs and Spontaneous Order:

   This isn’t to say AI won’t help improve economic policy—it might, if we listen. But the future economy won’t look like a centrally planned machine. It will look like an economy of von Neumanns—autonomous agents buying, selling, and strategizing in complex interaction.

4. I Analysed 25,000 Hotel Names and Found Four Surprising Truths:

   And yes, the cat’s out of the bag: there are over 200 Hotels Bristol worldwide, and the reason goes all the way back to an 18th-century English aristocrat whose hotel preferences turned into a naming tradition.

5. I Drank Every Cocktail:

   The International Bartenders Association, or IBA, maintains a list of official cocktails, ones they deem to be “the most requested recipes” at bars all around the world. It’s the closest thing the bartending industry has to a canonical list of cocktails, akin to the American Kennel Club’s registry of dog breeds or a jazz musician’s Real Book of standards. As of 2025, there are 102 IBA official cocktails, and as of July 12, 2025, I’ve had every one of them.

   Legend.

6. How the System Works

   An essay series on the hidden mechanisms that support modern life — and what happens if we don’t maintain them

   This should be amazing. So far, Agriculture, Water and Electricity.

A long list today because this week two of my top sources were on fire - MR and NYT.

1. My Parents Expected to Be Retired. Instead, They Are Raising My Sister’s Kids. (NYT): Beautiful, heartbreaking and uplifting.

2. Still booting after all these years: The people stuck using ancient Windows computers: None of the above. Well... maybe heartbreaking. No need to click the link though, the title says it all.

3. Measles cases in Europe, the Americas skyrocket: This is infuriating for two reasons. The second reason is that you wouldn't know it from reading most news that Europe has 10x the cases of USA. NYT I can understand, but I had to scroll down 3 pages on BBC website, after searching for "measles" to find a story about something other than RFK Jr. and Texas moms.

4. Your Fingers Wrinkle in the Same Pattern Every Time After Long Exposure to Water: Heh. Also apparently they wrinkle to improve underwater grip, not because the skin expands by absorbing water, which would have been hypothesis.

5. How Miami Schools Are Leading 100,000 Students Into the A.I. Future (NYT)

6. 5 weeks ago, someone buried a 22 lb chest with $10,000 of prizes (half in gold), somewhere in San Francisco. No one has found it yet. This is the only clue. It was found within a day of this post, so clearly the only thing holding back the search was the number of eyes looking. How many other problems is this true for?

7. "One of main goals in life has been to make my parents proud". 92% in Iraq, 78% in India. I remember realizing sometime in my early 30s that my parents didn't know the hierarchy of success in my field. As far as they were concerned I was already successful after college and any "actual" success wouldn't register with them. I felt the void in my movtivation for quite some time. Having your own kids helps with the transition.

8. AI & Critical Thinking:

   An interviewer just asked me what skills AI will make more important. My response? Critical thinking skills.

   This is because in the past there was value in creating large quantities of information. That is now costless. The new currency is how to generate, assimilate, interpret, and make that large amount of information actionable.

   The next question then becomes how do we teach, and improve our own, critical thinking skills? I discuss that in a recent study where I create a critical thinking skills hierarchy.

9. The Agentic Web and Original Sin: I have been wondering about this problem for a while - who puts up the content for the LLMs to train on if everyone gets their answers from the chatbots and doesn't visit websites anymore.

   The problem, as both I and Patel noted, is that this ecosystem depends on humans seeing those webpages, not impersonal agents impervious to advertising, which destroys the economics of ad-supported content sites, which, in the long run, dries up the supply of new content for AI.

   A potential solution:

   First, the protocol layer should have a mechanism for payments via digital currency, i.e. stablecoins. Second, AI providers like ChatGPT should build an auction mechanism that pays out content sources based on the frequency with which they are cited in AI answers. The result would be a new universe of creators who will be incentivized to produce high quality content that is more likely to be useful to AI, competing in a marketplace a la the open web; indeed, this would be the new open web, but one that operates at even greater scale than the current web given the fact that human attention is a scarce resource, while the number of potential agents is infinite.

10. Cargo Ship Crashed Into Man’s Yard After Crewman Fell Asleep, Police Say (NYT)

11. The 22 Best Pizza Places in New York Right Now (NYT)

12. New Studies Dismiss Signs of Life on Distant Planet (NYT): Dang.

13. SEO for AI: A look at Generative Engine Optimization

14. The best bookstore in NYC, and then some

15. They’re 15. Wait Until You Read Their Newspaper. (NYT):

    “We still haven’t done hot dogs,” Teddy said. Billy agreed: Hot dogs should be an editorial priority.

    and

“We were still very young; we had no idea what we were doing,” said Billy, a junior varsity quarterback whose hair was tousled into a cruciferous mop.

16. Know hope!

    …Use of digital technologies was associated with reduced risk of cognitive impairment (OR = 0.42, 95% CI 0.35–0.52) and reduced time-dependent rates of cognitive decline (HR = 0.74, 95% CI 0.66–0.84). Effects remained significant when accounting for demographic, socioeconomic, health and cognitive reserve proxies.

    Paper here.

17. Putting Claude 4 Opus in an open playground to chat with itself led to it diving into philosophical explorations of consciousness, self-awareness, and by 30 turns it eventually started using Sanskrit: Can't wait till nationalist politicians from my home state get their hands on this. Sanskrit!

18. Toronto burger shop called Good Fortune Burger renamed its menu items to sound like office supplies, helping remote workers potentially expense meals through work accounts. The "basic steel stapler" and "braided HDMI cord” are popular. : As a reply points out this doesn't make sense because the order is still from a place called Good Fortune Burger.

19. Who Benefits from Surge Pricing?:

    What are the welfare effects of surge pricing? Using Uber data, I develop an empirical model of spatial equilibrium composed of demand, supply, and matching. I find that surge pricing raises total welfare, benefitting riders but hurting drivers.

    Welfare effects differ substantially across sides of the market: rider surplus increases by 3.57% of gross revenue, whereas driver surplus and the platform’s current profits decrease by 0.98% and 0.50% of gross revenue, respectively.

    This doesn't make sense. If it hurts the platform or the drivers, why would they do it?

    After dropping the pearl of wisdom above, I decided to actually read the paper. In the first two pages I found this:

Uber’s current profits decrease by 0.50% of gross revenue. This probably does not mean that Uber is hurt, but rather that it is willing to forgo current profits to increase rider surplus—the right choice if it believes that long-run shareholder value is more closely tied to rider surplus and customer retention than to current profits.

Makes sense. After this my eyes glazed over and I dropped the paper in Claude and asked it why drivers would participate in this. Here's what it says: 

The paper acknowledges this is the more problematic finding. "My findings suggest that drivers might have good reason to complain. Their hourly earnings are not much higher than the minimum wage, so even the small effects I find might be a concern."

However, drivers may not have full information about the counterfactual (uniform pricing), and many drivers are part-time workers using Uber for supplemental income rather than as their primary employment.

1. How to make money betting on the new Pope: Great discussion of the betting process. Still plenty of luck involved but a reminder that there is plenty of "alpha" out there if you look in the right place. Maybe I should create a hashtag for these stories. #alpha

   A few minutes later, my jaw dropped as Prevost -- the guy I had just amasssed shares in at 200-1 like 20 minutes earlier-- walked out onto the balcony as Pope.

2. On the NBA and economic theory: Solving the problem of late season tanking to get a shot at the draft lottery in the NBA. Quite simple when you think about it.

   Optimal mechanism: get points for each loss. In game 1, a loss is worth 1 Draft Point. As season continues, loss is worth less, becoming negative late. Draft position based on Draft Points. Everyone wants to win late in season. Early season used to handicap truly bad teams.

3. Populism is not popular. Success is popular.:

   And Singapore is well run precisely because it adopts “unpopular” technocratic policies like zero tariffs, forced saving, and congestion pricing.

   And the PAP keeps getting re-elected, not despite, but because of those unpopular policies. Playing the long game, succesfully, since 1965.

4. Harvard Paid $27 for a Copy of Magna Carta. Surprise! It’s an Original.: To be fair it was $27 in 1946 dollars, but still. #alpha

   Professor Carpenter was at home in Blackheath, south east London, plowing his way through Harvard Law School’s digital images as research for a book when he opened a file named HLS MS 172 — the catalog name for Harvard Law School Manuscript 172.

   “I get down to 172 and it’s a single parchment sheet of Magna Carta,” he said. “And I think ‘Oh my god, this looks to me for all the world — because I read it — like an original.’”

   Professor Carpenter emailed Professor Vincent, who was, at the time, at work in a library in Brussels. “David sent it with a message saying, ‘What do you think that is?’” said Professor Vincent. “I wrote back within seconds, saying, ‘You and I both know what that is!’”

   I would not have answered like that.

A light week on links as it was a heavy week in life.

1. You Sent the Message. But Did You Write It?: Hilarious.

   Chatcident: When someone slips and pastes the prompt into the chat or email instead of the polished AI output – exposing the wizard behind the curtain.

2. Points for kills: How Ukraine is using video game incentives to slay more Russians:

   Ukraine's military is turning to incentive schemes used in video games to spur its soldiers to kill more Russian troops and destroy their equipment.

   The program — called Army of Drones bonus — rewards soldiers with points if they upload videos proving their drones have hit Russian targets. It will soon be integrated with a new online marketplace called Brave 1 Market, which will allow troops to convert those points into new equipment for their units.

3. How far are you from India, measured in units of India?: I really need to update the site to show Tweets inline or at least display images. Hope Claude is up to the task.

4. This Is the Moment for Mexican Indian Food to Flourish (NYT): A marriage made in heaven. Literally.

   A small, close-knit Mexican Indian American community formed outside Sacramento when a generation of Punjabi Sikh and Muslim men immigrated from India to find work as farmers and loggers beginning in the late 1800s. After the Immigration Act of 1917 made it near impossible for Indian women to immigrate, hundreds of these men married Mexican women. New kinds of cooking emerged from their idiosyncratic home kitchens and a handful of restaurants the families went on to run.

5. Lego built full-size F1 cars for the Miami GP drivers’ parade.

   “That was the most fun drivers’ parade we’ve ever had,” Ferrari’s Lewis Hamilton said. “Some dirty driving from this one here (Gasly)! That was great fun.”

   “They’ll have to sweep the track, there’s quite a bit of Lego debris on the track,” Max Verstappen said. “A bit different, that’s for sure!”

6. Tim Urban on AI. In 2015.: Really need to add the Tweet feature.

7. Unparalleled Misalignments: I think I have shared this before but some things are worth sharing twice.

   This is a list of Unparalleled Misalignments, pairs of non-synonymous phrases where the words in one phrase are each synonyms of the words in the other.

   Butt dial // Booty call

   Father figure // Dad bod

   Local girl // Near miss

8. Globalization did not hollow out the American middle class

9. Pro-Prompting: A master in action. Prompt used for GeoGuessr by Kelsey Tuoc, in the last week's link on AI playing GeoGuessr.

10. Boy Accidentally Orders 70,000 Lollipops on Amazon. Panic Ensues. (NYT) :

On Sunday morning, as Holly LaFavers was preparing to go to church, a delivery worker dropped off a 25-pound box of lollipops in front of her apartment building in Lexington, Ky.

And another. And then another. Soon, 22 boxes of 50,600 lollipops were stacked five boxes high in two walls of Dum-Dums. That was when Ms. LaFavers heard what no parent wants to hear: Her child had unwittingly placed a massive online order.

“Mom, my suckers are here!” said her son, Liam, who had gone outside to ride his scooter.

“I panicked,” Ms. LaFavers, 46, said. “I was hysterical.”

1. How to make hard choices (YouTube): A great video and especially personally relevant right now.

2. Just how good is O3 at playing GeoGuessr: Apparently very good. It still makes errors of course, but I was amazed at how close it got with very limited clues. Worth repeating this bit from last weeks link:

   It’s also deeply dystopian. Technology can identify locations from photographs now. It’s vitally important that people understand how easy this is—if you have any reason at all to be concerned about your safety, you need to know that any photo you share—even a photo as bland as my example above—could be used to identify your location.

3. Universal Antivenom May Grow Out of Man Who Let Snakes Bite Him 200 Times (NYT):

   The video is just under two and a half minutes long. A slim man with close-cropped hair walks into a room, pulls a long black mamba — whose venom can kill within an hour — from a crate and allows it to bite his left arm. Immediately after, he lets a taipan from Papua New Guinea bite his right arm. “Thanks for watching,” he calmly tells the camera, his left arm bleeding, and then exits.

   Over nearly 18 years, the man, Tim Friede, 57, injected himself with more than 650 carefully calibrated, escalating doses of venom to build his immunity to 16 deadly snake species. He also allowed the snakes — mostly one at a time, but sometimes two, as in the video — to sink their sharp fangs into him about 200 times.

4. Ken Rogoff on Conversations with Tyler: Great discussion on so many different topics - China, Pakistan, US, Chess. I found it very insightful.

5. Macro Utopia: Economics heavy list today but I have found Scott Sumner to have the most useful and probably most accurate predictions about macro.

1. How "The Joker" Took Down The Texas Lottery (WSJ Paywall): What a story. There is plenty of alpha out there, if you know where and how to look. Also, brute force is underrated. Sadly behind a paywall and there's lot more to it than the gist below:

   In Texas, as in many states, most people who play the lottery go to a store with a machine, choose numbers, then walk away with a ticket. Back in 2023, Texas also allowed online lottery-ticket vendors to set up shops to print tickets for their customers.

   Marantelli’s team recruited one such seller, struggling startup Lottery.com, to help with the logistics of buying and printing the millions of tickets. Like all lotto retailers, it would collect a 5% sales commission. The Texas Lottery Commission allowed dozens of the terminals that print tickets to be delivered to the four workshops set up by the team.

   That April 19, the commission announced that there had been no winner in that day’s drawing. The next drawing, with an even larger pot, would be three days later, on a Saturday. The group sprang into action.

   The printing operation ran day and night. The team had converted each number combination into a QR code. Crew members scanned the codes into the terminals using their phones, then scrambled to organize all the tickets in boxes such that they could easily locate the winning numbers.

   The game called for picking six numbers from 1 to 54. For a pro gambler, some sets of numbers—such as 1,2,3,4,5,6—aren’t worth picking because so many other players choose them, which would split the pot. Marantelli’s operation bought 99.3% of the possibilities.

   Money moved to Lottery.com from Ranogajec’s accounts—held under the name John Wilson—in the Isle of Man, a tax haven off the U.K. coast, taking a circuitous route via an escrow account at a Detroit law firm, according to people familiar with the transfers and bank statements reviewed by the Journal.

   The crew hit the jackpot that Saturday. One of their tickets was the sole winner.

2. The Moon Should Be a Computer: Love the ambition. So much fun to read.

   There are other reasons to build a Moon computer, including to avoid the regulatory hurdles to build the energy centers needed to power centralized AI clusters and as a sovereignty play in the increasingly fraught geopolitical game on the road to developing Artificial General Intelligence (AGI)—a system with the ability to solve virtually any cognitive task a human can. We of, course, don’t have to mine the Moon just to replicate a single human mind, but we might have to do so to power superintelligence, same in kind but vastly superior to our own.

   How bad are these regulations exactly?

3. Stevens: a hackable AI assistant via Simon Willison: So many cool projects, so little time.

   The assistant is called Stevens, named after the butler in the great Ishiguro novel Remains of the Day. Every morning it sends a brief to me and my wife via Telegram, including our calendar schedules for the day, a preview of the weather forecast, any postal mail or packages we’re expected to receive, and any reminders we’ve asked it to keep track of. All written up nice and formally, just like you’d expect from a proper butler.

   Beyond the daily brief, we can communicate with Stevens on-demand—we can forward an email with some important info, or just leave a reminder or ask a question via Telegram chat.

4. Every: A great site focused on AI related stories.

5. Obvious travel advice:

   Despite being only 0.3% of the world’s population, Australians seem to make up 10% of overseas visitors everywhere on the planet. Do not be disturbed by this well-known optical illusion.

1. Australian man survives 100 days with artificial heart in world-first success via Nico McCarty:

   An Australian man with heart failure has become the first person in the world to walk out of a hospital with a total artificial heart implant.

   The Australian researchers and doctors behind the operation announced on Wednesday that the implant had been an “unmitigated clinical success” after the man lived with the device for more than 100 days before receiving a donor heart transplant in early March.

   The BiVACOR total artificial heart, invented by Queensland-born Dr Daniel Timms, is the world’s first implantable rotary blood pump that can act as a complete replacement for a human heart, using magnetic levitation technology to replicate the natural blood flow of a healthy heart.

2. Inflation Expectations by Political Party Affiliation: Entry #3692 in "Politics makes you stupid".

3. Broccoli, the Man – and Vegetable – Behind the Bond Franchise: What a story.

4. The shift from a mindset of scarcity to one of abundance is overdue.(NYT Paywall) The article itself has a strong partisan tone. I hope the book is different.

   In the time California has spent failing to complete its 500-mile high-speed rail system, China has built more than 23,000 miles of high-speed rail. China does not spend years debating with judges over whether it needs to move a storage facility. That power leads to abuse and imperiousness. It also leads to trains.

   I do not want America to become China. But I do want it to be able to build trains.

5. Some Vegans Were Harmed in the Watching of This Movie (NYT Paywall): Even as a vegetarian, this seems over the top.

   “People might think a glass of milk is innocuous,” she said. “It’s not. It’s full of violence.”

6. In Search of a Boring Business (NYT Paywall):

   On BizBuySell, the popular listings site where the Rizzos found the Smiths, “corporate refugees” ditching the 9-to-5 have surged to 42 percent of buyers, roughly double the 2021 figure. Meanwhile, nearly a quarter of American small businesses are owned by people 65 and older, making the Smiths part of a “silver tsunami” of sellers.

7. Cognitive security is now as important as basic literacy: Must read link of the week. Between this stuff and use of AI in scams, I am more than a little scared.

8. Is this good or bad? Policy can be hard.

I need to sit down and combine some of these thoughts into a coherent piece but for now, I just want to dump it all here for reference later. I doubt any of these are original and I have certainly seen some elsewhere.

1. Market structure for LLM makers may end up being like the airline market. High fixed cost to set up, hard to create a product differentiation that users care about (other than price), lots of competitors entering, at least in part due to the "prestige" of owning one. Lots of utility for consumers but hardly any profit for producers.

2. An LLM with an infinite context window, one that can contain all my life, will be an entirely different product than an LLM with a limited context window. You can never have enough when it comes to context windows.

3. Notwithstanding 1, "personality" makes a huge difference in the experience of working with an LLM and the ability to create the right one could determine whether a model can dominate a market or a niche. Claude Sonnet 3.5 absolutely had than special sauce in my experience. We need a lot more of it.

4. This.:

   I don’t see how we’re going to avoid a situation where the internet become lousy with AI-created, pseudo academic writing filled with made up facts and quotes, which will then get cemented into “knowledge” as those articles become the training fodder for future models.

   But combine it with the fact that if we all start getting our answers from LLMs, the online content & ad based business model goes caput and then what is the incentive for people to put up good content on the web? None.

5. But anyone who has good proprietary, verified, high-quality data & content will potentially control the value for the customer even as base LLMs become a commodity. Therefore does more data and content start going behind the paywall? If it doesn't it becomes training data and cannot be monetized.

1. 50 years of Travel Tips: Some great tips.

   For the best travel experiences you need either a lot of money, or a lot of time. Of the two modes, it is far better to have more time than money. Although it tries, money cannot buy what time delivers. You have enough time to attend the rare festival, to learn some new words, to understand what the real prices are, to wait out the weather, or to get to that place that takes a week in a jeep. Time is the one resource you can give yourself, so take advantage of this if you are young without money.

2. 100% HIV Prevention:

   ...we now have evidence that in real-world use it can do something that has never been seen before: twice-yearly injections in thousands of female trial volunteers in high-risk areas (South Africa and Uganda) showed a one hundred per cent prevention rate of HIV infection.

3. Stable Systems (X):

   I don’t think a lot of people appreciate how much of their overall lifestyle and relative certainty is backstopped by a steady, boring stability of systems they don’t understand or even realize exist.

4. AI or No I (X):

   Me using LLMs for fun little personal projects: wow this thing is such a genius why do we even need humans anymore.

   Me trying to deploy LLMs in messy real-world environments: why is this thing so unbelievably stupid and dumb.

   This fits with my experience. But also for doing "real" work, prompt engineering matters. Giving the right instructions in the right order does make a difference.

   See more scepticism in this thread. Along with some of the comments I am hearing Satya Nadella made in his podcast with Dwarkesh, I wonder if we are seeing a vibe shift on AI?

5. My LLM codegen workflow atm(via):

   I have been building so many small products using LLMs. It has been fun, and useful. However, there are pitfalls that can waste so much time. A while back a friend asked me how I was using LLMs to write software. I thought “oh boy. how much time do you have!” and thus this post.

Again, for real work, prompt engineering matters.

6. Consensus projections on AI (X):

   I think Grok 3 came in right at expectations, so I don't think there is much to update in terms of consensus projections on AI: still accelerating development, speed is a moat, compute still matters, no obvious secret sauce to making a frontier model if you have talent & chips.

7. Three Observations: Obligatory link to every Sam Altman post.

   Anyone in 2035 should be able to marshall the intellectual capacity equivalent to everyone in 2025; everyone should have access to unlimited genius to direct however they can imagine. There is a great deal of talent right now without the resources to fully express itself, and if we change that, the resulting creative output of the world will lead to tremendous benefits for us all.

1. Translating with LLMs: A fantastic guide from a professional translator on how he is using LLMs to do his job better.

   For my day to day queries, I simply ask Claude, like I would ask a colleague or a friend and it just works. But for professional work, correctly prompting the LLMs improves the quality of output significantly. I hope to find (and create) more such examples.

2. Wisdom:

3. Wisdom II: A lot of AI cheerleading takes this form. Yes, you can just do things. I have also thought and posted along those lines. But as Gergely points out, the hard thing in building a payment system is not the code - its fraud, AML, KYC, tax, reporting, reconcilliation...

   That is true for most other hard things too. The hard thing in pharma is not finding the compound but getting the trials and approvals done. The hard thing in politics in not the manifesto but the consensus.

4. Tarriffs and Modern Supply Chains: Tarriffs are more disruptive than I thought.

5. How My Dad Reconciled His God and His Gay Son: Beautiful.

   This is me with my dad, Bill White. For decades, he has been an evangelical pastor. Before I was born, he wrote a letter to my future wife. He didn’t know what we both do now: that I’m gay. When I came out nearly 16 years later, it shook his faith and fractured his church. But it never separated us. I wanted to understand how. So I read his journals.

6. Strongly endorse:

   One of the reasons making things is satisfying is that it's a concrete demonstration of the notion that you can have some amount of control over your environment and circumstances. Passive media consumption is the opposite of that.

7. Should you value the life of your brother more than that of a stranger?:

   But again, this is a distraction from any real issue! Oh, you should value the life of your brother more than a stranger? You don’t say? I’m hearing this for the first time! Now let’s kill five million foreign children to fund one sixth of a broadband boondoggle.

   I am happy to “concede” that if you face a choice between saving a stranger and saving your brother, save your brother! Or your cousin, or your great-uncle, or your seven-times-great-grand-nephew-twice-removed. I’ll “concede” all of this, immediately, because it’s all fake; none of your relatives were ever in any danger. The only point of this whole style of philosophical discussion is so that you can sound wise as you say “Ah, but is not saving your brother more important than saving a complete stranger?” then sentence five million strangers to death for basically no benefit while your brother continues to be a successful real estate agent in Des Moines.

   When will I be able to write so well?

1. Why Is Homeowners Insurance Getting So Expensive? by Brian Potter via MR: A great piece objectively exploring a question getting a lot of coverage after the recent LA fires. There’s so much I love about this link. Original, deep analysis of an important question debunking the popular narrative (climate change, see next two links). Also, a great blog on Construction Physics? With 51K subscribers! Isn’t internet the best?

2. Gell-Mann Amnesia: First described by Michael Crichton and apparently nothing to do with Gell-Mann. He just gave it an important sounding name to have it taken seriously.

   Gell -Mann Amnesia effect is as follows. You open the newspaper to an article on some subject you know well. In Murray's case, physics. In mine, show business. You read the article and see the journalist has absolutely no understanding of either the facts or the issues. Often, the article is so wrong it actually presents the story backward—reversing cause and effect. I call these the "wet streets cause rain" stories. Paper's full of them.

   In any case, you read with exasperation or amusement the multiple errors in a story, and then turn the page to national or international affairs, and read as if the rest of the newspaper was somehow more accurate about Palestine than the baloney you just read. You turn the page, and forget what you know.

   I should make a spaced repetition card for this.

3. Bjorn Lomborg: A good follow if you want to see less depressing news about climate change, for instance that polar bear population has been increasing since the 1960s or that the Great Barrier Reef is doing just fine. Do note that his work is also subject to Gell-Mann Amnesia.

4. Only reason I am posting this is because I am right now in the land of the great UFO scare of 2025, New Jersey. Trump appointed CIA Director? On Fox News? Former Texas Congressman? There should be an emoji for that. Here’s a palate cleanser (via Alex Tabarrok at MR).

5. Jokic. Watch till the end for the reaction.

6. Is it better to bribe Trump by purchasing his memecoin or his stock? Not financial advice.

No AI in the links at least, although I cannot confirm or deny if an AI was involved in the selection of these links.

Programming note: Since I am traveling for the next few weeks, some of those letters may only contain the links section.