Pat McQueen retweeted
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev
• 20-200x faster
• 40-400x cheaper (w/ output tokens free)
• Frontier composable intelligence optimized for decisions
AFAICT the shortest path to AI-based economic revolution
When a court says “Not guilty by reason of insanity” aren’t they really saying “Guilty but we don’t think the punishment is right as they are insane”
Pat McQueen retweeted
Yesterday, West Virginia put out a report on how data centers are affecting the state. How?
They're making it rich.
Data centers are allowing the state to cut income taxes, fund schools, rebuild sewers and water treatment facilities, curb electrical costs, and generate jobs!
This is the right strategy. Many cut hiring new grads and will regret it.
Replying to @bryce
Wrong strategy to stop hiring new grads. Right strategy: hire them and insert them into legacy teams to help them better adopt AI.
Bob Mathers Ford in Boyne City is closing. There has been a @Ford dealership in this location for 109 years. But the location is not good enough for Ford any more.
Pat McQueen retweeted
The threat to your SaaS company isn't your customer vibe coding their way off your product. It's their CFO going: “we have a $10 million tech budget, last year we spent $100k on AI, this year we're spending $3 million, so we need $2.9 million in savings. Turns out we don't need five productivity apps. You’ll love Teams when you get to know it.”
Pat McQueen retweeted
It’s well within Anthropic’s rights to compete in any market they choose.
What’s funny, in this instance, are the number of Pharma companies, who through their unchecked use of Anthropic, are driving revenues into what they think is a model provider but is in fact a competitor lurking in the shadows thereby accelerating their own demise.
I suspect any end market with reasonable ROCE that could be AI accelerated is on the table.
If I were them, I’d probably do the same.
Humans are deterministic thinkers with an aversion to probabilistic strategies that accept the inability of error.
Pat McQueen retweeted
7am flight out of SFO
- Leave house 1h before flight leaves
- 13 min Uber to airport, views of the Bay
- TSA agent smiles asks if you like the Grateful Dead
- Ads for AI agents that cure cancer
- Multiple food options spanning global cuisines
- 2 min walk to gate
- Get upgraded to business class
- Depart 5 min early
7am flight out of JFK
- Leave house 3h before flight leaves
- 73 minute Uber to airport, bumper to bumper traffic
- TSA agent hates you
- Ads for underwear
- No food options besides Jamba Juice and hardboiled eggs
- 17 min walk to gate
- Get downgraded to seat next to bathroom
- Depart 2 hours late
Pat McQueen retweeted
Perhaps Bill Maher’s best monologue yet. It clearly made his LA audience uncomfortable.
No Jews, No News
HBO Real Time May 15, 2026
Pat McQueen retweeted
There will be no AI jobpocalypse.
The story that AI will lead to massive unemployment is stoking unnecessary fear. AI — like any other technology — does affect jobs, but telling overblown stories of large-scale unemployment is irresponsible and damaging. Let’s put a stop to it.
I’ve expressed skepticism about the jobpocalypse in previous posts. I’m glad to see that the popular press is now pushing back on this narrative. The image below features some recent headlines.
Software engineering is the sector most affected by AI tools, as coding agents race ahead. Yet hiring of software engineers remains strong! So while there are examples of AI taking away jobs, the trends strongly suggest the net job creation is vastly greater than the job destruction — just like earlier waves of technology. Further, despite all the exciting progress in AI, the U.S. unemployment rate remains a healthy 4.3%.
Why is the AI jobpocalypse narrative so popular? For one thing, frontier AI labs have a strong incentive to tell stories that make AI technology sound more powerful. At their most extreme, they promote science-fiction scenarios of AI “taking over” and causing human extinction. If a technology can replace many employees, surely that technology must be very valuable!
Also, a lot of SaaS software companies charge around $100-$1000 per user/year. But if an AI company can replace an employee who makes $100,000 — or make them 50% more productive — then charging even $10,000 starts to look reasonable. By anchoring not to typical SaaS prices but to salaries of employees, AI companies can charge a lot more.
Additionally, businesses have a strong incentive to talk about layoffs as if they were caused by AI. After all, talking about how they’re using AI to be far more productive with fewer staff makes them look smart. This is a better message than admitting they overhired during the pandemic when capital was abundant due to low interest rates and a massive government financial stimulus.
To be clear, I recognize that AI is causing a lot of people’s work to change. This is hard. This is stressful. (And to some, it can be fun.) I empathize with everyone affected. At the same time, this is very different from predicting a collapse of the job market.
Societies are capable of telling themselves stories for years that have little basis in reality and lead to poor society-wide decision making. For example, fears over nuclear plant safety led to under-investment in nuclear power. Fears of the “population bomb” in the 1960s led countries to implement harsh policies to reduce their populations. And worries about dietary fat led governments to promote unhealthy high-sugar diets for decades.
Now that mainstream media is openly skeptical about the jobpocalypse, I hope these stories will start to lose their teeth (much like fears of AI-driven human extinction have).
Contrary to the predictions of an AI jobpocalypse, I predict the opposite: There will be an AI jobapalooza! AI will lead to a lot more good AI engineering jobs, and I’m also optimistic about the future of the overall job market. What AI engineers do will be different from traditional software engineering, and many of these jobs will be in businesses other than traditional large employers of developers. In non-AI roles, too, the skills needed will change because of AI. That makes this a good time to encourage more people to become proficient in AI, and make sure they’re ready for the different but plentiful jobs of the future!
[Original text in The Batch newsletter.]
Pat McQueen retweeted
With the help of Claude Mythos Preview, the Firefox team fixed more security bugs in April than in the past 15 months combined.
Pat McQueen retweeted
Everyone who cares about climate should understand this. Texas, with no pro-climate policies, has blown passed California in clean energy. In large part because Texas has less red tape and makes it easier to build.
Pat McQueen retweeted
An extreme commitment to the truth makes relationships acutely dysfunctional but systems chronically functional (think Elon Musk).
An extreme commitment to kindness makes relationships acutely functional but systems chronically dysfunctional (think Sweden, UK)
Pat McQueen retweeted
I can't figure out if vaccines work or not.
Tough one.
Need Sherlock Holmes on this one.
For the first time ever, public software companies now trade at a P/E discount to the S&P 500. Not at parity. Below.
Pat McQueen retweeted
Milton Friedman (prix nobel d'économie) a dit un truc il y a 50 ans qui est encore plus vrai aujourd'hui. Et quasiment personne ne le comprend.
🧵
On lui pose la question : "Sans régulation sur les médicaments, des gens pourraient mourir en prenant des produits dangereux. Vous ne trouvez pas ça grave ?"
Sa réponse est un des retournements logiques les plus brillants de l'histoire de l'économie.
Oui, dit Friedman. Un médicament non régulé peut tuer des gens. C'est visible. C'est dans les journaux. C'est un scandale. Tout le monde le voit.
Mais ce que personne ne voit, c'est les gens qui meurent parce qu'un médicament qui aurait pu les sauver a été bloqué pendant 10 ans par le processus de régulation. Ce mort là, personne ne le compte. Personne ne fait sa une. Personne ne connaît son nom. Parce qu'il est mort de l'absence de quelque chose qui n'a jamais existé.
C'est l'asymétrie fondamentale de la régulation.
Le régulateur a deux types d'erreurs possibles. Erreur 1 : approuver un médicament dangereux. Résultat : scandale public, procès, le régulateur perd son poste. Erreur 2 : bloquer un médicament qui aurait sauvé des vies. Résultat : rien. Personne ne sait. Personne ne proteste. Les morts silencieux n'ont pas de porte-parole.
Du coup, le régulateur rationnel optimise pour éviter l'erreur 1. Toujours. Il rajoute des études. Des phases. Des comités. Des délais. Chaque couche de "sécurité" supplémentaire le protège, lui, au détriment des patients qui attendent.
Friedman estimait que la FDA avait probablement tué plus de gens en retardant des bons médicaments qu'elle n'en avait sauvé en bloquant des mauvais. C'est impossible à prouver précisément. Mais la logique est imparable.
Un exemple concret. Le bêta-bloquant Propranolol était disponible en Europe des années avant d'être approuvé aux États-Unis. Pendant ces années, des Américains mouraient de crises cardiaques qui auraient pu être évitées. Combien ? On ne le saura jamais. Parce qu'on ne compte pas les morts de l'inaction.
C'est le même principe partout. Pas que dans la médecine.
En France, les taxis autonomes sont bloqués par la régulation. Chaque année de retard, ce sont des accidents de la route qui auraient pu être évités. Mais personne ne compte ces morts là. On compte uniquement le premier accident d'un taxi autonome, qui fera la une de tous les journaux.
L'IA dans la médecine est ralentie par des processus d'approbation qui prennent des années. Des diagnostics qui pourraient être faits en secondes par un algorithme attendent des validations pendant que des patients attendent des mois pour un rendez-vous.
Le nucléaire a été bloqué pendant des décennies par la peur. Combien de gens sont morts de la pollution des centrales à charbon qui ont tourné à la place ? Personne ne les compte.
Le pattern est toujours le même. On voit le risque de l'action. On ne voit jamais le risque de l'inaction. Et comme le risque de l'inaction est invisible, le régulateur choisit toujours l'inaction. Parce que l'inaction ne produit pas de scandale.
Friedman résumait ça en une phrase : "Les gens qui ont été sauvés par la FDA sont visibles. Les gens qui sont morts à cause des retards de la FDA sont invisibles. Et dans une démocratie, le visible gagne toujours contre l'invisible."
La prochaine fois que quelqu'un vous dit "il faut plus de régulation pour protéger les gens", posez une seule question : combien de gens meurent en attendant que la régulation les autorise à vivre ?
La réponse est toujours plus grande que ce qu'on imagine. Mais personne ne la calcule. Parce que les morts de l'inaction n'ont pas de visage.
I read @QuinnyPig for the humor ... "AWS pricing is where dreams go to get itemized."
AI has a real impact on coding
Yup, platform activity is surging. There were 1 billion commits in 2025. Now, it's 275 million per week, on pace for 14 billion this year if growth remains linear (spoiler: it won't.)
GitHub Actions has grown from 500M minutes/week in 2023 to 1B minutes/week in 2025, and now 2.1B minutes so far this week.
So we're pushing incredibly hard on more CPUs, scaling services, and strengthening GitHub’s core features.
And as a fine purveyor of hand-crafted shit code for many years, I'm not gonna weigh in on that. 🤣


























