Ricardo Sequerra Amram

Some thoughts on reflectivity ricardosqa.com/Reflectivity

We ❤️ @attio too

We're planting our latest seed and are excited to welcome Aardaia to the P9 family! 🌱 We led their €5M seed round to back @PdraicFlood and Mike and the team as they domesticate wild plants into modern crops using genomic and computational breeding without genetic modification. Their first crop, the aardaker, is a native European legume that fixes its own nitrogen and grows a protein-rich tuber. The goal: reduce Europe's dependence on imported protein crops, starting with nearly a million plants already in the ground. The aardaker is just the beginning. The bigger mission is a whole pipeline of new crops for the agriculture we'll need. Excited to grow this one together! 🌿

agents for your robotic data

Big if true

@FinnMurphy12 Bring back the mandela effect Take me to the other side

If only someone were building a company driving high energy physics research on timelines that don’t run longer than the wait to another World Cup…

Cool read

New: Rerun 101 for robotics ML engineers. A short hands-on course for the robot data loop: MCAP -> recordings -> layers -> dataset queries -> PyTorch / LeRobot -> eval rollouts. Core idea: the training set is a query, and eval is a recording.

@KevinJDCS @lolawajs Cap is asylum designed by @lolawajs :)

@lolawajs @ric0seq great cap, great jacket, where can i cop?

And that’s a wrap! Loved spending time in London with the whole Asylum crew this week. Hosted 5 events, saw old friends, made new ones, watched England win a match, and much more. Heart is full. Until next time 🇬🇧

Europe cannot rent its way to AI sovereignty. TLDR, here's my take I shared with frontier AI lab leadership this week. When Washington can disable a model overnight, the question is not whether AI is safe but who controls it: A week ago the United States government ordered Anthropic, the world's most valuable AI startup, to shut off its most capable model, Fable, for every foreign national on earth - whether they worked for Anthropic or not. This was not an export ban on a weapon sold to an adversary. It was an instruction to disable a commercial product, four days after its release, after officials acted on a claim - which Anthropic disputed as narrow and unproven - that its safeguards could be jailbroken to expose cyber-offense capabilities. I have spent my career around this technology, first as a graduate student and for the past decade as an investor @airstreet. In that time I have watched AI move from recommending movies to driving cars, speaking with a human voice, and editing the genome. I have also watched the debate about its risks settle on only half the question. That debate is mostly about capability: how powerful these systems are becoming, and whether one might escape human control. Those are real questions. But they are not the only ones, and the Anthropic episode exposed the half we have neglected: access and control. The most advanced AI is built by a handful of American companies, on American soil, under American law, and what the rest of us are allowed to do with it can change on a Friday afternoon. The risk that matters today is not only that AI goes rogue, but that we do not control access to it at all. Consider what "renting intelligence" now means in practice. A European hospital triaging scans, a bank screening fraud, a defense ministry planning for a conflict: increasingly each runs on an American AI system that's governed by its export regime. A single directive in Washington cascades, instantly, through every institution wired to that model. We have built core economic and public infrastructure on a supply that a foreign government can shut off. And while there are open-source alternatives, they're either Chinese or not at the frontier, and building European infrastructure on Chinese open weights trades one dependency for a thornier one. And these systems are starting to improve themselves. As they do, AI stops being one industry among many and becomes the input to all the others - writing the code, running the research, designing the products, and, increasingly, generating the growth itself. Once intelligence is the engine of an economy, a country without a frontier model of its own does not lose a sector; it loses control of the inputs to everything else, and the independence that depends on them. Worse, the gap compounds: capability that improves itself gets harder to chase with every month it runs ahead. This is not a race Europe can plan to enter in a decade. The window to be a builder rather than a buyer is measured in the time it takes to stand up a cluster, not a career. This should sting, because Europeans invented much of modern AI. DeepMind was founded in London and sold to Google in 2014, and a great deal of the talent that followed now lives in California. Today Europe faces a company worth almost $1 trillion and American tech giants spending an estimated $450 billion a year on AI infrastructure. Its answer has been the EU AI Act and a capital commitment that is a rounding error by comparison. A single American site, xAI's Colossus in Memphis, runs more than half a million GPUs. Europe has nothing remotely at that scale. The instinct to govern this technology is right, but we're off on the ambition by orders of magnitude. It is fair to object that regulation is itself a form of power. But a rulebook is not a substitute for the thing it governs. You cannot regulate, or be cut off from, an industry you do not have. Europe's instinct, when it is cut off, is not to build but to ask. We saw it within the week. The G7 convened in Evian and floated a "trusted partners" scheme to win back the access it had just lost, while Emmanuel Macron feted Donald Trump beneath the gilt of Versailles, the palace where France once helped midwife American independence. Two and a half centuries on, the dependency has reversed, and the posture is courtship. None of this means Europe can match the American frontier dollar for dollar. With today's capital, it cannot, and pretending otherwise only wastes the little it has. But the goal is not parity, it is leverage. A country does not need the best model in the world to be sovereign; it needs a credible one of its own, on its own soil, good enough that being cut off is survivable rather than catastrophic. That is the difference between negotiating your access from dependence and negotiating it with an alternative in hand. The point is not to win the race. It is to make sure no one else can end it for you. Sovereignty of that kind is something you build, and Europe has done it before. The Financial Conduct Authority's regulatory sandbox, launched in 2016, let startups test products with real customers under supervision instead of waiting years for authorization. The pro-innovation culture it signaled helped make London the fintech capital of Europe, home to Revolut, Wise, and Monzo. Government should be AI's most demanding early customer rather than writing rules for systems it has only ever imported. Industry has to stop behaving like a tenant. Too many European companies rent the entire stack from American providers and build a thin product on top. That earns a margin and owns nothing: when the lab that supplies you decides to compete with you, or its government decides to cut you off, you have no ground to stand on. Where it counts, build and hold your own models and compute. And our universities, which should be the source of all this, still work against it. I have argued here before that Europe's spinout system is broken, and it remains so. Too many institutions treat the companies their research creates as something to extract value from, rather than as the vehicle through which a discovery reaches the world. The best research should leave the building as a company, in addition to a paper. We keep framing AI safety and AI ambition as a tradeoff, as though a country must choose between governing this technology and building it. It is not a choice. The safest position is not the most heavily regulated one. It is the one where the model runs on your terms, in your jurisdiction, and no one on the far side of an ocean can reach over and turn it off. Right now that finger is not ours. Until it is, every other conversation about AI risk is one we are having with someone else's permission. --- END

Populair YT channel "Hoog" made a shorter (still 42 min!) and very dramatic video version of Europe 2031. If the full scenario felt like a lot to read or listen to, start here: youtube.com/watch?v=C84Lny…

@michellelsun @xdofai @ThriveCapital @sparkcapital @a16z What about real world robot deployed data working autonomously vs teleop in deployment? Trajectories in teleops suck even in deployed environments

Most people think data volume is the bottleneck for Physical AI. It’s not. In physical AI, raw data volume is cheap. Precision, diversity, and clean annotation are what’s scarce. @xdofai emerged from stealth this week with $70mn from @ThriveCapital, @sparkcapital, @a16z, @Lux_Capital and WndrCo. The founding team comes from Meta, Covariant and Tesla, led by CEO Philipp Wu (@philippswu) Three key highlights from their launch: 1) The real bottleneck is data ops. Maintaining physical data pipelines is so complex and costly that frontier labs are paying XDOF to handle it. That involves teleop fleets, calibration, annotation, behavior cloning support. 2) Teleop on deployed robot transfers best. It’s also the most scarce and expensive to collect. Egocentric data, which can be collected cheaply at scale, is the least transferable. 3) The operations layer is the product. XDOF also open sourced ABC-130K, the largest bimanual teleop dataset to-date (130K+ trajectories, 3500 hours, 195 tasks). The data is free; the infrastructure is what’s monetized.

@blwiertz 🙏

London is the biggest ecosystem in Europe. But it also has the potential to be the biggest in the world, even overtaking San Francisco... {Tech: Europe} is back in London, teaming up with Google DeepMind & Attio for a 1-day hack on the 27th of June. Limited to the best 90 technical builders from all over Europe. Already >200 people are on the waitlist, without us even announcing it 😮‍💨 Sign up on Luma to join us 👇 Thanks to all our partners for making this possible: SLNG, Mubit, Superlinked, Tavily, n8n & Aikido Security

When @jeffrey_hawke and I started @odysseyml in 2023, we believed general world models would become a new class of foundation model. Three years later, it now feels true. And today, we're announcing a $310M Series B. AI can now understand and simulate the world!

Let’s go team @odysseyml We’re happy to be a small part of this journey @PointNineCap

Amazon backs AI start-up developing models to simulate physical world ft.com/content/1e0365…

Europe 2031 — What getting AI wrong means for us europe2031.ai/compute-foreca… Awesome perspective @DadaJudith and all involved

why agents need typed graphs to coordinate /w Andrew and Ragnor from Modern Relay, an agent substrate layer built on open-source infrastructure like Lance, Arrow, and DataFusion Timestamps: (0:00) Why build a graph database for agents? (5:43) Why not Postgres or any other relational database? (17:03) The composable "company brain" substrate for agents (20:51) Need for agent guardrails (e.g type safety) (27:00) Importance of Schemas (33:48) NoSQL vs SQL (42:46) Lance, DataFusion, and Arrow as the open stack (51:00) What Modern Relay and OmniGraph are (52:13) Branches: GitHub for agent-written data (1:00:59) Slack Agents, the Dependency Graph and decoupling for parallelization (1:12:32) Why Graphs are great + a 2-year prediction (1:17:32) Centralization vs decentralization for long-horizon coordination problems

Hello agentic workflows on @attio

Huge congrats to the @factorialapp team on announcing their $150M Series D at a $2.5B valuation! Ten years after being founded in Barcelona, Factorial has reset from a SaaS company into an AI Workforce Operations Platform, serving 16,000+ businesses across 90+ countries and becoming one of the most valuable scale-ups in Europe. Having supported the company since the Seed round, it’s been incredible to watch this journey unfold. Congrats to @jordiromero ,@bernatfarrero and the entire Factorial team. Onwards! 🚀