Europe needs insanely ambitious builders and investors. Right now we have neither at the scale this moment demands. It's incredibly easy to blame politicians for everything. But Europe has another huge issue: we lack agency. We need a far higher density of ambitious builders — people who start the hard companies instead of waiting for permission. Every industry that compounds — AI, cloud, chips, robots, space — is being built by the US and China. AI. No European lab competes with OpenAI, Anthropic or Google. Mistral is the only contender, and an order of magnitude too small. This is the platform layer everything else will run on, and we're not in the room. Cloud. AWS, Azure, Google — almost 0% European. Our entire digital economy runs on rented American servers. That's not a market we lost. It's leverage we handed away. Chips. We don't design them (Nvidia, Apple), we don't manufacture them (TSMC). We own exactly one company — ASML — that builds the one machine the whole world needs. It could be Europe's first trillion-dollar company. Miss the rest of the chain and we lose that too. Batteries & rare earths. Up to 98% come from China. A dirty, low-margin business — but lose the supply chain and the economy stops overnight. Northvolt was our shot. It collapsed into the largest bankruptcy in Swedish history, yet we should try again and again and again. Autonomy. Waymo and Tesla in the US. Baidu, WeRide, Pony in China. Robotaxis hit European streets in 2026 — running on foreign tech. Robots. China ships 87% of the world's humanoids. The bright spot: Germany's Neura just raised $1.4B from Nvidia and Amazon. One real bet. We need fifty. Space. SpaceX launches 80 times a year; we're rebuilding from behind. No reusable rockets, no Starlink alternative, no answer yet as compute moves to orbit. All of this is fixable. Not by subsidizing the past or regulating the future — by funding people audacious enough to BUILD. Europe doesn't have a talent problem. It has a courage-and-capital problem. Build. Build. Build.

USA might be shooting themselves in the foot by restricting latest AI model access to foreign individuals. This gives China (and EU) a massive advantage in the worldwide market. USA banning Nvidia GPUs in China has already boosted their chip/architecture efforts drastically and they will be a major force in GPU and AI accelerator market worldwide in a few years. Now the same will happen for AI models. Other countries were glad to use USA-based AI models, but if those models are not available, they will develop their own or use Chinese models instead. USA had control of the market, but these new import restrictions will hamper that greatly. Investors will likely divert their money in future to models that are available worldwide, instead of being limited to the USA. tomshardware.com/tech-indust…

Oh Ethan, you need to spend more time in Europe. Mistral are not trying to compete with the big three and the Chinese labs. Instead they work with Europes largest companies on deploying Ai behind the firewall. So so data leakage. They are more like Palantir than OpenAI or Anthropic. Lately, with European countries distancing themselves from American tech, Mistral has positioned itself as a friendlier, “sovereign” and homegrown alternative techcrunch.com/2026/06/12/mi…

Mistral should not be understood as “Europe’s chatbot company”. The real opportunity is industrial AI. Factories, robots, grids, defence, logistics, aerospace, manufacturing, engineering and maintenance. That is where Europe still has depth. The US owns consumer software. China owns industrial scale. Europe’s chance is to connect AI with its physical economy. Not just prompts. Machines. Factories. Systems. Sovereignty.

While the US is cutting off access to its most advanced AI models, Mistral, the European AI champion, is raising €3bn - near doubling its valuation to €20bn in well under a year and only 3 months after it raised €830m to expand its data centre infrastructure. The company seeks to secure 200MW of capacity across Europe by the end of 2027.

It's been 3 years since I joined Mistral AI, as the first general dogsbody and UK employee. I learned an incredible amount. It might be hard to see it from the outside, but doing open-source/weight models while maintaining/growing a business is really not easy. Even harder when you want to do forward-looking research and bad press comes around when you make decisions for survival. There's so much grit at the core of this company that makes you want to believe!

To all technical students and engineers in Europe. The US export control on LLMs is the first taste of what will become the new norm. Many people are calling for "radical measures" and that we need the equivalent of a Manhattan Project to create change in Europe. But this is not how change will happen. Change will never come top-down from a government. The state and EU can fund, but they cannot found it. That part is on us. You are the only ones who can change this. You are among the few people on this continent who actually know how to build foundational technology - LLMs, robotic AI, actuators from scratch, chip infrastructure, rocket engines, organoids. ETH, EPFL, TUM, École Polytechnique, KTH, Imperial and dozens more produce absurd talent every single year. And almost all of it talks itself out of building. We finish our degrees surrounded by such an incredible average that we're sure someone is always better at [your idea] - so who are we to start? I've seen so many friends at ETH think they need to "get more experience first" and take a job at Nvidia or Google and never do anything interesting again. Technology-driven companies aren't founded by the most qualified person. They're willed into existence by people who see what others do not and refuse to stop. The person who's "better than you" almost never does it. And as for experience, nothing will teach you how to build the thing like, well, just trying to build the thing. Our education is a chance most of the world will never have. There are people in Europe who have to worry about getting a job. We get to worry about finding our dream job. We're able to make bets that not many people can make or afford. It's nothing anybody expects you to do, but if you want a life filled with purpose, this is a unique kind of responsibility you can choose to step up to. So if you actually want to do something ambitious, how about changing a continent? If you really want change, you cannot wait for others. You are one of the few people who can create it. It starts with you.

Dockerfile best practices every engineer should know. 🐳

Die USA schließen den Rest der Welt von der Nutzung leistungsfähiger US-KI-Modelle aus. Falls das kein Missverständnis sein sollte, dürften die internationalen Auswirkungen denen eines Nuklearschlag gleichen. In Europa wird am späten Montagvormittag eine Krisensitzung einberufen werden: "Man dürfe den USA nicht das Feld überlassen!" wird zum wiederholten Male gerufen werden... ...während man am Nachmittag über weitere Hürden und Einschränkungen für KI-Anbieter und Nutzer in Europa nachdenken wird.

For anyone wondering what this means: - Anthropic (and potentially future OpenAI, Google, xAI) models that cost billions to develop will make 0 revenue outside the US - a big double digit percentage of Anthropic (and potentially OpenAI, Google, xAI) workforce can no longer work there, because they are foreigners and are not allowed to use those models So Trump just made frontier model development effectively unprofitable and tremendously slowed down Anthropic (and potentially others in the future) He's handing China the win on a gold platter. *potentially: if the same restrictions are imposed on other frontier labs and models

What people are missing about the US government's AI regulation announcement: ID verification will now be forced on all accounts to prove citizenship. Frontier labs will take your data, and your sovereignty is officially dead. A permanent underclass division and a total control society are beginning right now. People ignored me when I started saying this last year, but it is happening right in front of our eyes. Get into Open-Source and Sovereign AI. Advancing together through collective intelligence is the only way to fight back.

This is your wakeup call. Anthropic just took down Fable 5. It's over. Here's the thing tho: no company or government will EVER be able to take away your local models. There are Opus level models you can run right now on your home GPUs, and nobody can ever stop you from using them This is only the beginning of events like this. Day 1. More government overreach will happen. This will only keep happening more and more as models get closer to AGI Become sovereign. Buy your own compute. Before even that becomes illegal

If you found it insightful, reshare with your network. Find me → @akshay_pachaar ✔️ For more insights and tutorials on LLMs, AI Agents, and Machine Learning!

The creator of Linux just publicly called out the AI hype. Word for word. Linus Torvalds took the stage at Open Source Summit 2026 and said this: "When I see people saying 99% of our code is written by AI, I literally get angry. Because those same people — I can pretty much guarantee — 100% of their code is written by compilers. But they never say that." He is not anti AI. The Linux kernel saw a 20% jump in submissions this release because of AI tools. He uses it. He gets it. His point is something most people are too afraid to say. AI is a productivity tool exactly like compilers were. Compilers boosted programming by 1000x. AI adds another 10x on top. Enormous. But nobody says "the compiler wrote my code." So why are we saying AI wrote it? He also flagged something nobody is talking about. AI is flooding small open source projects with drive-by bug reports. Someone runs a prompt, files a report and disappears when asked for a patch. Maintainers with one or two people are drowning trying to keep up. "Sometimes AI reports a bug and when you ask for more information the person has done that drive-by and does not even answer your question. That is the real burnout issue." And his final warning was the sharpest of all. "People who do not understand the complexity of systems will prompt systems and write processes that will fail." The AI hype crowd is very loud right now. Linus has been building real systems for 35 years. When he talks, engineers listen. Full interview here: thenewstack.io/torvalds-ai-p…

Hunde 🐕 an die Leine .... Es könnte auch ein Wolf gewesen sein ,wir werden es untersuchen Heute vormittag lag dieses junge Rehkitz, welches von der Ricke vergeblich gerufen wurde, am Straßenrand. Es war noch warm, der Vorfall lag vermutlich erst wenige Minuten zurück. Die Uhrzeit legt nahe, dass ein Hund das junge Tier gerissen hat. Ein Auto war es eher nicht, da der Kopf nirgends lag, ein Grasbüschel an dieser Stelle herausgerissen war und keine entsprechenden Blutspuren zu sehen waren. Bitte lasst Hunde in den nächsten Wochen nicht einfach so frei laufen, um die Jungtiere zu schützen. *zwischen Ortsausgang Mittelherwigsdorf und Sandbüschel LG,Jörg Kipper

😡😡😡😡😡💔💔💔💔💔24 Thoroughbreds have come in to one of the TX lots and all are reported to be from the same place. 10 have been identified so far. The majority are mares. This is a disgrace and should have been preventable no matter which way you look at it. If the JC and Industry would have provided the funds and put programs in place a long time ago like we have advocated for for years that would circumvent things like this from happening. ❓Who is going to help these poor innocent horses that have now been thrust in to the slaughter pipeline? What are you going to do about this JC & Industry? These are the ones identified so far: @jockeyclub @BreedersCup @LightUpRacing @PastTheWire @theTDN @RepoleStable @PatCummingsNTA @AnitaMotion @KateMaddenSC @EponaInitiative @ThoroughbredRA @KYTbred @TheBridgeSanct1 @westlakeracing @JazzyCabella Tag: 2079 Lot Name: Selene Ms. Nitram (KY) 2007 K40288 Year of Birth 2007 Dam Name Ms. Reehtorg Color Chestnut Sex Mare Breeder: Martin H. Grotheer M.D Tag 2078 Lot Name: Briar Horse Name Sweet Briar Jane (KY) Tattoo K40610 Year of Birth 2007 Dam Name Forgiven Evil Color Dark Bay or Brown Sex Mare Breeder: Martin Grotheer & Jane Crane Tag 2077 Lot Name : Sable Horse Name Artax Magic (OK) Tattoo O06740 Year of Birth 2011 Dam Name Belle of Cozzene Color Dark Bay or Brown Sex Mare Breeder: John E Smicklas Living Trust & Barbara R Smicklas Living Trust Tag:2076 Lote Name Valkyrie Horse Name Aprils May Jumper (KY) Tattoo M36246 Year of Birth 2009 Dam Name Jumpin Jemimah Color Chestnut Sex Mare Breeder: Martin H. Grotheer M.D. Tag 2075: Lot Name: Gia Horse Name Tedlena (IL) Tattoo G45579 Year of Birth 2003 Dam Name Carlena Color Dark Bay or Brown Sex Mare Breeder: Martin Grotheer Tag: 2074 Lot Name: Guiness Unidentified Gelding 2073 Lot Name: Nova Chesntut Mare Possibly Risky Chick (IL) (2002) F45446 2072 Lot Name: Electra Passionate Temper Tattoo K25443 Year of Birth 2007 Dam Name Temptest Color Chestnut Sex Mare 2071 Lot Name: Favor Horse Name Gleaming Knife (IL) Tattoo H46402 Year of Birth 2004 Dam Name Lady Buck Knife Color Bay Sex Mare Breeder: Martin H. Grotheer M.D. 2070 Lot Name: Primo Horse Name Jane Juniur (IL) Tattoo E47065 Year of Birth 2001 Dam Name Evil Jane Color Dark Bay or Brown Sex Mare Breeder: Martin Grotheer 2069 Lot Name: Nutmeg Unidentified Bay Mare

The Pope is making exactly our point. LLMs “may imitate or even simulate, but they do not understand.” This is the core epistemic fault line. Most AI evaluation is still based on one assumption: if a system statistically approximates human behaviour, then it is close to human intelligence. But approximation is not intelligence. Simulation is not understanding. LLMs can produce the right answer without knowing why it is right. They can simulate empathy without feeling. They can imitate judgment without responsibility. They can generate coherent explanations without having a world to which those explanations are accountable. Stop confusing behavioural similarity with cognitive equivalence. Human understanding is embodied, affective, relational, motivational, and normative. It is not just the production of plausible text. * Full paper in the first reply

Atlas hebt einen Kühlschrank. Klingt nach Demo, ist aber ein Durchbruch. Denn der humanoide Roboter von @BostonDynamics weiß vorher nicht, wie schwer das Objekt ist oder wo sein Schwerpunkt liegt. Er passt sich in Echtzeit an, nutzt seinen gesamten Körper und balanciert das Gewicht dynamisch aus. Das wirklich Entscheidende: Dahinter steckt ein generelles KI-Modell. Atlas hat genau diesen Kühlschrank vorher noch nie “gesehen” oder trainiert. Und genau das ist der Unterschied: Keine Einzelfähigkeit, sondern echte Generalisierung. Ein weiterer durch für Humanoide Roboter 🤖

We're building the reliability layer for AI agents. Open source. Apache 2.0. Serious contributors welcome.