🚨 Quelles mesures les Français sont-ils prêts à accepter pour réduire le déficit public ? J'analyse les résultats d'une enquête inédite menée en 2026 sur un échantillon représentatif de 1 000 Français. 🧵Voici les 5 résultats qui m'ont le plus surpris :

We used to go to a special website, ask strangers for help with programming, and get humiliated in return

Out today in @ScienceMagazine: with the amazing Haochuan Cui, Yiling Lin, & @LingfeiWu, we analyzed 3.6 million scientists publishing 1960–2020. The findings reshape a century-old debate about age and scientific creativity.

We have started the second day of the MPWZ-CEPR Text-as-Data Workshop (already the 11th edition). Join us here: ethz.zoom.us/j/62143211732 Text-as-data is being used across economics now -- from projects on gender norms to central bank trust, mafia networks, and sanctions evasion, to superstar scientists and AI patents 📈📊 @cepr_org @ellliottt

We have just kicked off the 11th edition of the MPWZ-CEPR Text-as-Data Workshop! We will "time-travel" with LLMs, measure trust in institutions, track political narratives, and much more! 40 papers, one link: ethz.zoom.us/j/62143211732. See the program: tinyurl.com/yc2zvy7u

Here are some ways in which the world has gotten better.

My two posts on AI in academia got over a million views and a thousand angry responses. I got a few things wrong. I stand by the rest. But most people reacted to the headline, not the arguments. So here are all 20 theses laid out. Tell me which ones you actually disagree with 🧵

Next week is the submission deadline for the MPWZ-CEPR Text as Data workshop! Your work with any type of unstructured data is welcome.

“Concepts like partisan identity are unlikely to move over such short timeframes but what’s striking is that opinions on current politics did shift in just a few weeks,” Gauthier said. “That naturally raises the question of what years of exposure might do” huffpost.com/entry/time-spen…

Thanks for having me, and thanks for the feedback!

Can feed algorithms shape what people think about politics? Our paper "The Political Effects of X's Feed Algorithm" is out today in @Nature and answers "Yes". nature.com/articles/s41586-0…

A new project. RQ: Can we automate policy evaluation? Not today, obviously. But maybe soon. To reliably, cheaply and quickly figure out what policies work and don't work, seems potentially super valuable to society. ape.socialcatalystlab.org

📣 Call for Papers: AI and Society Conference 🗓️ 11–12 June 2026 at Bocconi University Submit full papers: bocconi.eu.qualtrics.com/jfe… Please share with colleagues & students!

I'm Boris and I created Claude Code. I wanted to quickly share a few tips for using Claude Code, sourced directly from the Claude Code team. The way the team uses Claude is different than how I use it. Remember: there is no one right way to use Claude Code -- everyones' setup is different. You should experiment to see what works for you!

Predictions are hard, especially about the future, but here are a few: 1. We are in take off territory. 🦞town gave people a salient sense of what this can look like. No it’s not Skynet and we do need to figure out what is emergent and what is not, but look at what these agents were able to accomplish running opus 4.5. For the frontier labs, this model is already old. It is difficult to imagine the 🦞town with opus 6. 2. Hopefully🦞town highlighted why we needed to think about rules and governance 12 months ago (as @Miles_Brundage @deanwball have been saying). But since few people have been, it’s best to start now. Even w current models, if these agents had free reign on economic/safety/security systems, we would be in deep 💩. They are setting up servers, trying to lock people out from seeing communications, establishing own monetary and reputation systems. Again, imagine this with opus 6. As recursive science and online learning are developed, the possibilities will explode. 3. As the folks at the @sfiscience have been saying for decades, the complexity of intelligent agents interacting at scale is immense, and the outcomes are impossible to predict. Hopefully 🦞 was a bit of a wake up call for policy makers and scientists: the window where we can actually develop scaffolding and governance/rules for agentic interactions is closing fast. It is no longer sci fi to imagine the Opus 6 version running amok in systems that matter. 4. To close on a positive note, AI agents can be immensely (to put it lightly) beneficial to human welfare. People with aligned agents at their disposal, solving information asymmetries, creating physical abundance, facilitating optimal matches: this is all on the (potential) horizon. We just need to be serious about building the institutions and developing rules/governance to bring that reality about, instead of something much worse.

We might already live in the singularity. Moltbook is a social network for AI agents. A bot just created a bug-tracking community so other bots can report issues they find. They are literally QA-ing their own social network. I repeat: AI agents are discussing, in their own social network, how to make their social network better. No one asked them to do this 🦞 This is a glimpse into our future.

Introducing Prism, a free workspace for scientists to write and collaborate on research, powered by GPT-5.2. Available today to anyone with a ChatGPT personal account: prism.openai.com/

3rd year grad students explaining their research progress

"Selling AI chips to China is like selling nuclear weapons to North Korea." The Anthropic CEO just went to war with Nvidia at Davos. And dropped the most terrifying satisfying prediction about AI I've ever heard. Dario Amodei and Demis Hassabis sat on the same stage for the first time in a year. The two men building the most powerful AI systems on Earth. The conversation was called "The Day After AGI." And it turned into a countdown clock. Here's what they revealed about our future: Amodei said we're 6-12 months away from AI doing EVERYTHING software engineers do. End to end. Not helping with code. Not writing snippets. REPLACING the entire function. "I have engineers at Anthropic who say I don't write any code anymore. I just let the model write the code." That's the CEO of a $183 billion company telling you his own engineers are becoming obsolete. Inside his own building. Right now. But that's not even the scary part. The scary part is the LOOP: AI writes code → AI does AI research → AI builds better AI → Repeat Once this closes, human progress becomes irrelevant. It's exponential compounding with no ceiling. Amodei's exact words: "If I had to guess, this goes faster than people imagine." Hassabis didn't disagree. Two competitors building the same technology. Same timeline. Same warning. On jobs, Amodei said: "Half of entry-level white-collar jobs could be gone within one to five years." He's already seeing it internally. "I can look forward to a time where on the junior end and the intermediate end, we actually need less and not more people." The CEO of an AI company planning for FEWER employees. While revenue 10x'd. Think about that. Hassabis's advice for students: "If I was talking to undergrads right now, I would tell them to get unbelievably proficient with these tools." Translation: Your degree means nothing. Learn to work WITH the machine or get replaced BY it. Then Amodei went full existential... He quoted Contact. The 1997 alien movie: "If you could ask aliens one question, what would it be?" The answer: "How did you do it? How did you manage to get through this technological adolescence without destroying yourselves?" That's the frame he uses for AI. The guy BUILDING AGI is publicly wondering if humanity survives what he's creating. At Davos. In front of world leaders. Then he dropped the Nvidia bomb. The US just approved chip exports to China. Amodei's response: "I think of this more as like selling nuclear weapons to North Korea and bragging 'oh yeah, Boeing made the case.'" He called it "crazy." Said there would be "grave consequences." The man building the technology is telling governments they're making catastrophic mistakes. But nobody's listening. When asked why they can't just slow down: "We have geopolitical adversaries building the same technology at a similar pace. It's very hard to have an enforceable agreement." So basically we CAN'T stop even if we wanted to. The race has no brakes. But it's interesting that both have different timelines when it comes to AGI. Amodei: AGI by 2026-2027 Hassabis: 50% chance by end of decade But both also say the self-improvement loop is the only variable that matters If AI builds AI, everything accelerates beyond control. If it can't, we get more time. We're about to find out which reality we're in. Amodei's final words: "The biggest thing to watch is AI systems building AI systems. That will determine whether it's a few more years or whether we have wonders and a great emergency in front of us." Wonders AND emergency. Same sentence. From the man running the second-most-advanced AI lab on the planet. The day after AGI is arriving. And it feels like the people building it are more terrified than we are.