Mathias Humbert @MathiasOZ

@LeTour Ou même en bateau si on va voir le clm d'Evian depuis Lausanne ! 😊

🔴 « Le numéro 1, c’est Jean-Luc Mélenchon ! De tous les candidats, c'est celui qui a la vision la plus complète en matière d’intelligence artificielle. Il a un projet de société et depuis longtemps ! » Sur BFM Business, l’éditorialiste Raphaël Legendre souligne la force et le haut niveau de préparation de Jean-Luc Mélenchon, notamment sur l’intelligence artificielle. « Le leader insoumis est aujourd’hui celui qui propose la vision la plus complète : un cloud public, des centres de données publics, une agence publique de l’intelligence artificielle et un domaine public des données. Depuis 2016, Jean-Luc Mélenchon parle du numérique, comme nouvelle frontière de l’humanité. »

📢 NEW essay: the narrative that AI is replacing software engineers seems to be based on AI-washing of layoffs. Among the many lines of evidence: New York State requires firms to disclose which layoffs were due to AI. When there are legal consequences to lying, almost no company blames AI. The best data suggests that software engineer employment in the U.S. is still growing, though slightly more slowly compared to a no-AI counterfactual world. But even this doesn’t account for increased entry into entrepreneurship. Why haven’t AI agents replaced software engineers? Many kinds of knowledge work, including software development, can be seen as a “decide-execute-deliver sandwich”. AI compresses the middle but the other two layers resist automation in a way that will not be overcome by capability improvements alone. In 2026, the middle has already been squeezed and there isn’t much room for further compression, so there isn’t a future capability leap that will cause discontinuous impacts, either. The essay also has a detailed breakdown of the difference between vibe coding and agentic engineering. Conflating the two has unfortunately led to a lot of confusion. We acknowledge that there’s a lot of uncertainty about the future. But we think the unknowns are more about how we will define and carve up roles and who can adapt to the changing needs, and less about whether software engineering skills and judgment will remain in demand (they will). Given that the AI-capabilities-cause-mass-layoffs narrative seems to be false even in a sector with very few regulatory barriers, we think most other professions are likely to be even more cushioned. (The claim isn’t that automation never displaces jobs, but that there are many downstream links in the causal chain, and that we have collective agency to act on those downstream decision points to ensure better outcomes for workers.) This essay by me and @sayashk is the first in a series. Feedback is welcome! We hope that our unique vantage point (leading an AI agent evals research group + fluency with the labor economics literature + the "normal technology" framework for understanding AI impacts + being coders ourselves and well connected to the software engineering community) gives us a way to bring complementary perspectives together for a deep dive into how AI is transforming the profession, in a way that hasn't been done before. Read the essay here for lots of other details: normaltech.ai/p/why-ai-hasnt…

El país que más invierte en inteligencia artificial del planeta acaba de sancionar una ley nacional para obligar a sus ciudades a abrir bibliotecas y volver a los libros de papel. China era el candidato perfecto para enterrar el papel: pone más de cien mil millones de dólares al año en inteligencia artificial y es de los que más la incluyen en los currículos educativos. Si algún país iba a declarar que el libro ya no hace falta, que para eso está la máquina, era este. Sin embargo, hizo exactamente lo contrario: en vez de mandar todo a la pantalla, está promoviendo el libro por ley. Desde el primero de febrero, rige una norma que obliga a cada gobierno local a poner dinero en bibliotecas, abrir espacios de lectura hasta en las zonas rurales y sostener una Semana Nacional de la Lectura. Desde ahora, es obligación del Estado. ¿Por qué un país que ya tiene la mejor tecnología se molesta en legislar la lectura? Porque separaron para qué sirve cada cosa. La inteligencia artificial te sirve para producir, competir, ir rápido: es la herramienta. El libro te entrena en lo que ninguna máquina te da: atención sostenida y criterio propio. Es la cabeza la que después decide qué hacer con esa herramienta. Como lo resume uno de sus investigadores: solo a través de la lectura se llega a un pensamiento profundo e independiente. El premier Li Qiang lo decretó dentro del mismo plan quinquenal donde está su apuesta de inteligencia artificial. Las dos cosas son estratégicas y van de la mano. Mientras tanto, Estados Unidos hace el camino inverso: batió su récord de libros sacados de las escuelas (casi veintitrés mil desde 2021) y sus chicos sacaron las peores notas de lectura en más de veinte años, con cuatro de cada diez de cuarto grado que no llegan ni al nivel básico. La inteligencia artificial la va a tener todo el mundo. La cabeza para saber qué hacer con ella, no. Usala para pensar CON vos y no POR vos.

MIT's Nobel Prize-winning economist proved that AI is mathematically guaranteed to destroy human knowledge. They published a massive NBER paper modeling the long-term impact of AI on human cognition. And they found the most alarming conclusion in the AI literature so far. It’s called "Knowledge Collapse." Here is how human progress actually works. When you struggle to solve a complex problem, you generate two things: General knowledge about how the world works, and context-specific knowledge about your exact problem. Normally, humans acquire both at the same time. You do the hard work to solve your specific problem, and in the process, you learn a general principle. You share that principle. That is how human knowledge grows. Then comes Agentic AI. AI is incredibly good at giving you the exact, context-specific answer you need right now. It hands the solution to you on a silver platter. So you stop doing the hard work. And because you stop doing the work, you stop generating the "general knowledge" that society relies on. Acemoglu calls it the "knowledge-collapse equilibrium." When AI reaches a certain accuracy threshold, the incentive for humans to learn drops to zero. Nobody verifies. Nobody explores. Nobody discovers new fundamental truths. Society gets increasingly sophisticated automated outputs, while our actual capacity to generate new knowledge quietly erodes. But here is the most terrifying finding in the paper. Welfare is "non-monotone" to AI accuracy. That means as AI gets more accurate, society actually gets worse off.

Denmark’s PM Mette Frederiksen: There is a total established link between power, political power, capital, tech giants and AI. And the purpose of this is undermining democracy. That's the goal because the people who are developing this stuff are against democracy. I met Sam Altman a couple of years ago. I spent hours with him and at the end of the discussion I said to him, "You have created a monster." And he said, "Yes, and now it's up to you to find out how to deal with it."

Generative AI doesn’t run on magic. It runs on massive data pipelines built on privacy violations by design. Our new @Amnesty report exposes how big tech’s AI systems are powered by surveillance, data extraction, and abuse of people’s rights, at scale. We researched the models powering some of the most popular publicly available standalone generative AI tools, including GPT 3 by Open AI, Google’s Gemini, Meta’s Llama, DeepSeek and tools by Midjourney and Stable Diffusion. This is not innovation at any cost. It comes at a high price: our human rights. Read the report: amnesty.org/en/latest/news…

Enfin, les JT s'emparent du scandale des ingérences israéliennes contre les candidats de La France insoumise aux élections municipales. L'enquête est ouverte. Elle doit aboutir : la démocratie doit être protégée et les puissances hostiles qui tentent de truquer nos élections doivent être durement sanctionnées.

The study, which was used by EY consultants in Canada to market their cyber security business, used made-up data, mis-attributed citations and referenced a McKinsey report that doesn't exist. ft.trib.al/Ab4x6JN

🚨BREAKING: Anthropic just published a study mapping exactly which jobs its own AI is replacing right now. The workers most at risk are not who anyone expected. They are older. They are more educated. They earn 47% more than average. And they are nearly four times more likely to hold a graduate degree than the workers AI is not touching. The argument is straightforward. Anthropic built a new metric called "observed exposure." Not what AI could theoretically do. What it is actually doing right now in professional settings, measured against millions of real Claude conversations from enterprise users. For computer and math workers, AI is theoretically capable of handling 94% of their tasks. It is currently handling 33% of them. For office and administrative roles, theoretical capability is 90%. Current observed usage is 40%. The gap between what AI can do and what it is already doing is enormous. The researchers are explicit about what comes next. As capabilities improve and adoption deepens, the red area grows to fill the blue. The demographic finding is what makes the paper uncomfortable. The most AI-exposed workers earn 47% more on average than the least exposed group. They are more likely to be female. They are more likely to be college educated. This is not a story about warehouse workers or truck drivers. It is a story about lawyers, financial analysts, market researchers, and software developers. The exact group whose education was supposed to insulate them. Computer programmers showed the highest observed AI exposure at 74.5%. Customer service representatives at 70.1%. Data entry keyers at 67.1%. Medical record specialists at 66.7%. Market research analysts and marketing specialists at 64.8%. These are not predictions. These are measurements of work that is already happening on AI platforms right now. Then there is the pipeline finding nobody is talking about loudly enough. Anthropic's researchers found a 14% decline in the job-finding rate for workers aged 22 to 25 in highly exposed occupations since ChatGPT launched. No comparable effect for workers over 25. Entry-level roles were never just jobs. They were the training ground where junior analysts became senior analysts, where junior lawyers learned how arguments hold together. If that layer disappears, nobody has answered the question of where the next generation of senior professionals comes from. The detail buried in the paper that most coverage missed: 30% of American workers have zero AI exposure at all. Cooks. Mechanics. Bartenders. Dishwashers. The technology reshaping professional careers is completely irrelevant to roughly a third of the workforce. The divide is no longer between high skill and low skill. It is between presence and absence. The company publishing this study is the same company selling the AI doing the replacing. Anthropic had every commercial incentive to soften these findings. They published them anyway. If you spent four years and $200,000 on a degree to land a white collar career, the company that builds Claude just confirmed your job is more exposed than the bartender pouring drinks at your graduation party. Source: Anthropic, "Labor market impacts of AI: A new measure and early evidence" PDF: anthropic.com/research/labor…

🇫🇷 FRANCE JUST FIRED MICROSOFT. 2.5 million government devices. Off Windows. Onto Linux. This isn't a pilot. Every ministry has been ordered to submit a migration plan by autumn 2026. The OS, cloud infrastructure, AI platforms, collaboration tools. All of it. The minister's words: "We can no longer accept that our data, our infrastructure, and our strategic decisions depend on solutions whose rules, pricing, and risks we do not control." They already replaced Teams and Zoom with a homegrown video tool. Health data is moving off American cloud by end of year. And this isn't even new ground for France. Their national police force already moved 100,000 devices to a custom Linux build. Saves €2M a year in licensing. If this works, every EU government is watching. Microsoft has not commented.

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Mélenchon et le journaliste qui le lance sur la valeur de son appartement. Pépite.

Maes 🪁 @maesenhess

3 months ago

Y’a des interactions qu’on oubliera pas

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Il y a un mois, le pays entier s’est ému qu’on prononce bien le nom d’un pédophile notoire. Aujourd’hui, le délinquant Zemmour dit “BaBaga Balek”en direct à la télévision. J’attends le même émoi. (Il n’y aura rien.)

AlertesInfos @AlertesInfos

4 months ago

🇫🇷 Éric Zemmour tente de prononcer le nom de Bally Bagayoko : "Bailly BaBaga Balek". (BFMTV) x.com/p_duval/status…

655 1K 10K 4.0M 2K

NEWS: Massive budget cuts for US science proposed again by Trump administration "It's an extinction-level event for science". The US government is proposing massive cuts to almost every branch of science, from NASA to the National Institutes of Health. NSF would completely eliminate the social, economic and behavioral sciences directorate. This would decimate the world's leading scientific system. nature.com/articles/d4158…

📊 L'INA a compté les mentions des têtes de liste des dix plus grandes villes à la radio et à la télé entre le 1er janvier et jusqu'au lendemain du second tour des municipales 2026. Les données mettent en lumière un top du classement occupé exclusivement par les candidats parisiens et révèlent l’exposition importante de Sarah Knafo (Reconquête!). Ces données sont issues de data.ina.fr, le site qui met l'IA au service de l'exploration des médias. #dataina #actu #municipales

Comme on le dit dans nos paroles depuis 40 ans, lorsqu’on était des adolescents, on pensait que la violence, la force brute faisait trembler le système. Depuis dimanche dernier au vu des réactions racistes et défiantes face à l’élection du maire de Saint-Denis, j’ai la confirmation que ce qui terrorise ce système c’est que les gens des quartiers populaires aillent tous voter. Pire, qu’ils raflent des mandats et qu’ils participent à la vie politique au lieu de quémander en attendant la réalisation illusoire de milles promesses, y compris celles faites par une gauche méprisante et paternaliste. Au final, beaucoup de personnes issues des milieux modestes aiment plus la France que tous ces comédiens réunis. Une inscription massive sur les listes électorales les fera toutes et tous trembler parce que la perte de leurs petits privilèges c’est l’épouvantail de la fin.

🤖 L'IA menace 5 millions d'emplois en France d'ici à 2030 ➡️ trib.al/JG8gfrY 📊 Une étude chiffre à 16 % les emplois en danger en France avec le décollage de l'intelligence artificielle. Les métiers de cols blancs sont les plus à risque.

Plus on a de voisins immigrés moins on vote RN. De là à dire que c’est la télé qui fait voter n’importe quoi, il n’y a qu’un pas. La télé fait voter n’importe quoi.

72h seulement après le depot des listes, Libé a deja identifié une centaine de "brebis galeuses" en lice pour le RN aux municipales. Des candidats oscillant entre racisme, homophobie, complotisme… liberation.fr/politique/raci…