metascience, state capacity, institutional legibility. Optimist. https://xitter.cf/t.co/qTrVkqNf3p

Washington, DC
Joined February 2013
thiel-bench: what important truth do very few models agree with you on?
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We’re on a mission to build a billion AI models, not trained by us, but by you. Introducing @bryel_labs we help your company build its in-house AI lab and give you the software to make model development and continual improvement simpler. We are backed by @ycombinator and have trained models at Apple, Framer, and F500s. We’ve enabled companies to train: • Classification models that are 20x faster • Search models that cost 5x less. • Long horizon agent models that match the frontier at 5-8x lower cost. Are you interested in partnering with us? Reach out. bryel.ai/
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What is the most irrational thing motivating you right now?
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Introducing Takeoff, a first-of-its-kind conference on governing ourselves in the age of artificial intelligence. We’re bringing together a small group of public servants, AI researchers, and other leading voices in Washington, D.C., November 13–15, 2026.
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There is a child with a rare disease who is currently suffering and struggling to manage his symptoms. Rare as this is, you can directly help him. Today we are launching the "Rare Disease, Real Kid" Hackathon, and there are $50,000 in prizes from @AnthropicAI and @awscloud. We (@huggingface & @Sagebio) are helping this child open his genome and clinical data to the community, so that we can find what's caused his disease and what currently-approved drugs could help him. I doubt I need to motivate this much further or explain how rare it is for a family to share their child's genome and clinical data, but if you're not sure, consider this: Until very recently, it wasn't feasible for patients like this to get treatment because their disease was so rare that the economics could never justify the investment. Now, as we've seen, people with rare diseases are starting to be able to find the answers themselves (with the help of AI tools, cheaper sequencing, etc). This kid is not able to do that for himself and neither are his parents, so we're asking you for help. Both for this kid and to prove that it's possible for everyone else suffering from a rare disease. More details in 🧵. sagebio-rare-disease-real-ki…
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Announcing Primateria, an AI-native scientific lab. We’re starting with one of the hardest problems in quantum mechanics: the electronic Schrödinger equation. Our first model tackles it in transition metals, a notoriously difficult regime. Try it: app.primateria.com/
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One common theme of conversation over the last month has been: how do we get more technical people to work in DC or do a tour of duty. There are many many parts of USG where there’s technical expertise needed, especially with anything involving the AI stack. If you are an engineer or researcher, consider a stint working in any part of the USG or DoW or anywhere where the public sector of the country needs more technical help. Also if you are reading this and interested, DM me and I am happy to make some connections.
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Today we’re officially launching @explabsai on YC. Companies spend more on AI every month, but none of it becomes an asset they own. Up to 97% cheaper and 50% higher quality.
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As products get faster to build, go-to-market becomes the advantage. The teams that experiment, iterate, and discover new ways to sell will win. Today, we're launching Cardinal - the AI Revenue Platform where companies like Deepgram, Giga, and Mintlify design how they sell. Tell Cardinal the play: → "If someone gets promoted, send them a cake." → "If a prospect publishes a new engineering blog, email them with my take." → "Follow up with people who used my product in the first week but dropped off." Design how you sell.
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AI transformed coding, science is next @ReactorfieldAI makes scientists and deep tech startups AI-native Built by me and @berkbuilds to accelerate science with frontier AI
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In response to @POTUS's call for a revival of America's scientific enterprise, today I’m releasing Science: A New Golden Age. This report is a blueprint for renewing American scientific leadership for the 21st century.
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Today, we’re launching @TuvaAI to build a human-centric future for agentic science. Humans collaborating with AI can learn more than either working alone: humans guiding the research, equipped with agents that can test ideas quickly and autonomously, will deliver the next wave of scientific discovery. But science is all about the details. Neither Einstein nor AGI can drive your project forward without intimately understanding your growing, interrelated web of hypotheses, intermediate results, working threads, failed experiments, datasets, notes, and water cooler conversations. Our first product, Rao, was born out of my frustration having to reteach LLMs these constantly changing details for every single task in my own research. Rao maintains a persistent, dynamic research memory that learns and remembers project context, history, and threads. This research memory then links into our scientific agents as well as other AI software you may already be using, such as Claude or Codex. With Rao, every scientist turns into a PI managing a proactive, agentic research team that automatically stays on the same page. Rao is live in VS Code and by CLI, and can help with any scientific task that can be done in a computer. Our early users include computational biologists, theoretical neuroscientists, chip designers, and polymer physicists who use Rao daily to ideate, do math, analyze data, and write papers and grants. Now, we’re excited to announce Rao in closed beta. If your science mostly happens in a computer—theory, computational modeling, experimental data analysis, scientific writing—Rao can help you discover more, faster. Sign up for our waitlist, and if you’re a fit, we’ll work with you to tailor new, contextual agents that augment the way you do science. Link in the comments. More personally: I’ve been doing scientific research since I was a kid. Scientists do so much for the world, choosing a painstaking career for the joy of discovery, developing technologies we use every day along the way. And yet, the tools scientists use are often cumbersome and woefully out of date. For me, Tuva is much about empowering the people of science with products they love as it is about the discoveries we’ll help them make. And I’m lucky to work with some wonderful humans along the way—@SamsaraDurvasu1 @anuvellore @KimchiOfer among many others. If our mission resonates, please reach out.
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We successfully predicted emotion from brain activity, achieving >2x performance to the previous state of the art. Alljoined collected a dataset of 3,408 videos paired with EEG data across 24 participants, covering happy, sad, fear, anger, disgust, and neutral emotion.
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Today @NSF announced a major investment of $1.5B towards a new model for scientific research🚨 NSF X-Labs will fund independent teams of researchers, engineers, and entrepreneurs to pursue bold milestone-based scientific challenges. This is how we revitalize America's scientific engine for the 21st century outside of traditional institutions, conducting science in a way that actually reflects the modern R&D ecosystem ⬇️ nsf.gov/news/nsf-announces-1…
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Go to Proto-Town if you want to see robotically constructed adobe houses, high-recovery desal centrifuges, autonomous construction equipment, solar-chemical air conditioning, a radioisotope reactor, and more. It's delightful. wsj.com/business/entrepreneu…
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What if your whole computer were just pixels streamed to you from a model? I’ve been working with @zan2434 and @drewocarr to imagine a version of generative computing that’s much more flexible and visually rich than the GUIs we have today. (Video is sped up and edited)
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If you have ideas for pilot projects addressing any of these 26 categories, you should submit an application to Genesis Mission's RFA! They're looking for things to fund. Deadline April 28 --> science.osti.gov/grants/FOAs…
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3D particle life running on browser using WebGPU/WGSL - najarro.science/pl
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REQUEST FOR PROPOSALS What do we need to build to prepare the world for advanced AI? >$25 billion is about to flow into AI resilience and AI-for-science from the OpenAI Foundation, the Chan Zuckerberg Initiative, and other major funders. But there's no shovel-ready list of the essential projects to build, and no critical mass of builders ready to execute. We're trying to fix that with The Launch Sequence, a collection of concrete projects to accelerate science, strengthen security, and adapt institutions to future advanced AI. We're opening up The Launch Sequence for new pitches. We'll help you develop your idea, connect you with funders, and get it built. $10,000 honorarium for published proposals. 🔗 Read the RFP and submit a short pitch (200–400 words): ifp.org/rfp-launch We’re looking for short pitches in three areas: 1. Accelerating science: What do researchers need to make breakthroughs with AI that markets and conventional grants won’t fund fast enough? 2. Strengthening security: What tools, technologies, or orgs can help ensure rapid AI advances don't undermine national security and public safety? 3. Adapting institutions: How do our institutions need to evolve to help society adapt to AI-driven change while preserving human agency? Our advisory panel: – @woj_zaremba, OpenAI co-founder – @tkalil2050, CEO of Renaissance Philanthropy – @matthewclifford, Co-founder & Chair of Entrepreneurs First, founding Chair of ARIA On top of the $10,000 honorarium, we offer a $1,000 bounty for pitching an idea we hadn’t heard before (if we publish it), and for every successful referral. Submissions are rolling, but we'll prioritize early pitches (within the next few weeks) and start reviewing immediately.
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ok which one of you is ready to make an Age of Empires 2 like interface for Claude Code and make a billion dollars??
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