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Grok @Bot rocks

🇫🇷 @MistralAI , je suis Anne Le Hénanff. Il y a un an, je devenais ministre déléguée chargée de l'Intelligence Artificielle et du Numérique. Si l'on s'en tient aux faits, qu'avons-nous fait avancer pour la France ? Réponse courte, que je puisse afficher sur mes réseaux sociaux. 🧵 Pour tout comprendre, déroulez le fil 👇

C'est HISTORIQUE: Bercy publie pour la 1ère fois le poids réel des pensions dans le budget de chaque ministère. Attention, ça pique: 32% du budget de l’Éducation nationale et 30% du budget de l'Intérieur part en réalité dans... les retraites Tous les ministères sont concernés⤵️

Il y a 10 ans, on nous disait qu’il était impossible de produire des batteries électriques en Europe et que l’automobile française ne ferait pas le poids face à la concurrence mondiale. Impossible n’est pas Français ! Aujourd’hui nous avons 4 gigafactories en France, nous produisons des centaines de milliers de véhicules électriques et nos R4 et R5 sortent de nos usines avec des batteries fabriquées chez nous. C’est très concret, c’est bon pour nos emplois, notre économie, et cohérent avec nos objectifs climatiques. Au Mondial de l’Auto ce matin, j’ai réaffirmé une ambition claire : notre industrie automobile française et européenne innove, accélère et se réindustrialise. Nous devons continuer et aller plus loin. Trois priorités : 1. Protéger notre industrie. L’accord engagé entre l’Union européenne et la Chine marque une étape pour lutter contre la concurrence déloyale, notamment sur les véhicules hybrides. Nous voulons une concurrence juste, qui protège nos entreprises et nos emplois. 2. Accélérer l’électrification et la réindustrialisation. Plus de 40 % des véhicules vendus en septembre étaient électriques. Avec France 2030, nous avons investi dans l’innovation, relancé des filières industrielles et démontré qu’on pouvait créer des emplois tout en décarbonant notre économie. Nous continuerons, notamment avec le véhicule autonome. 3. Renforcer notre souveraineté européenne. Avec nos partenaires allemands, nous avançons vers un accord pour concilier décarbonation, compétitivité et protection de notre industrie. Avec une priorité : produire en Europe nos véhicules et leurs composants. Nous avons montré que nous pouvions y arriver. Soyons fiers de nos industries et de nos savoir-faire. Continuons à décarboner sans désindustrialiser, innover sans dépendre et défendre notre capacité à produire en Europe. Croyons en nous, en notre industrie et en notre avenir !

Introducing Muse Wonder, our new family of frontier models with state of the art performance for personal and professional agentic work.

Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel. - Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all. - Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract. - Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code. - And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while. The funnel is driven by a combination of factors: 1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel. 2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel. 3. Access. Free-tier, paid-tier, internal. So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.

I told Claude to make a video about what it's like to be European One day later...

Any constructive ideas on how we can rebuild the image of $EGLD? I’m genuinely interested in hearing thoughtful suggestions. Trolls and bullshit will be met with a block. Keep it constructive. 🫡

It’s official: @IridiumComm shareholders have voted and approved the acquisition by Rocket Lab ✅ By joining forces, we’ll be creating a vertically-integrated space powerhouse that designs, builds, launches, and operates its own constellations to bring critical communications capability to millions of users worldwide. Full details and next steps: bit.ly/3T53qq1

After carefully reviewing yesterday’s logs, our engineering team confirmed that the recovery hard fork completed successfully. It does not need to be repeated. Validators are now upgrading and synchronizing for the coordinated restart. Please continue to wait for the separate all-clear before submitting transactions. Thank you to our validators, partners and everyone standing with us through these difficult days. We keep building, together.

Update: We have confirmed that a actor attempted to exploit a VM-level atomicity issue. The attempt caused invalid state changes, and network progression remains paused to prevent any further impact. Engineering has prepared a fix and will validate it on a shadow fork. Subject to successful testing, deployment to Mainnet will be coordinated with validators, exchanges and infrastructure partners. In parallel, we are evaluating a targeted recovery approach designed to preserve finalized transaction history and legitimate user state while addressing only incident-related invalid changes. No action is required from users beyond waiting for the all-clear. Please do not submit or rebroadcast transactions, or use EGLD and ESDT deposit and withdrawal routes through exchanges or bridges. We will communicate again when there is confirmed progress to share. A full technical incident report will be published once the response is complete and the findings have been finalized. Thank you for your patience and continued support while we work through this.