Make something civilization needs. Helping great scientists and engineers become great entrepreneurs is our jam.

San Francisco, CA
Make something civilization needs.
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These tubes carry propellant to our thrusters and are inspected and leak-checked before they ever touch the spacecraft. With these thrusters, we're able to maintain, move and maneuver as needed around space. By taking tube bending in house, we're removing manufacturing bottlenecks and getting to space faster.
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A blood test just beat the scan. BillionToOne’s test predicted survival in cancer patients on immunotherapy better than standard-of-care imaging. 12 tumor types, 142 patients, progression flagged ~62 days earlier. Imaging has guided oncology for decades. This is a big deal!
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🥚 Most companies sell the eggs: a molecule, a dataset, a one-off experiment. 🪿 onepot is building the goose. An automated chemistry platform that can design, make, measure, and learn — then come back tomorrow and lay the next batch of golden eggs
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We're bringing on a fellow to help make short documentaries about SpaceX, Anduril, Tesla. New angle not explored yet. If you're interested DM with your Linkedin/website and film projects you've worked on.
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Replying to @goodalexander
We saw this a lot, so we ran real benchmarks for GLM-5.2 Fast on @vercel AI Gateway, and it's actually fast
GLM 5.2 Fast via Wafer is now available exclusively on Vercel AI Gateway. 2x faster token throughput vs other providers in internal benchmarks. 𝚖𝚘𝚍𝚎𝚕: '𝚣𝚊𝚒/𝚐𝚕𝚖-𝟻.𝟸-𝚏𝚊𝚜𝚝' vercel.com/changelog/glm-5-2…
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Wafer wow
You may have heard that GLM-5.2 at 328 token/s is cool, How about 392? Databricks is now #1 in inference speed for GLM-5.2 on Artificial Analysis. It's a great model, and we did a lot of optimizations.
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US Energy Secretary Chris Wright has just signed the approval to turn on our first nuclear reactor at the Aalo-X site. And he did the signing live in person! We can now begin to load fuel. It will take a few days—this is a big reactor— but we are on pace to achieve criticality before July 4th. Thanks again to DOE and INL for their incredible support over the past few months. More announcements soon!
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We’re hiring for two roles on the monitoring / control team that I’m very excited about: 1. AI security & control engineer: Design threat models for adversarial agents, red-team Watcher and prioritize failure modes Watcher should protect against. 2. Research Scientist (Control): Improve our monitoring stack, e.g. by designing automated red-teaming stack, fine-tuning monitors and playing real-life red-team vs. blue-team games within the research team. We want to make Watcher, the best control product for coding agents. If that sounds interesting, please apply!
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Today, we expand zero-shot drug design beyond binding to the design of multifunctional medicines, the intracellular proteome, and state-of-the-art atomic precision with our model, JAM-2. In a new report (below), we show: 1. The first drug-grade, fully computationally designed multispecific antibodies against five peptide-MHCs: Routine picomolar T-cell activation/cell-killing EC50s, >100-fold selectivity, and drug-like developability 2. The first fully generatively designed, drug-grade dual-variant KRAS G12 multispecifics: They recruit primary T-cells from human donors to kill G12V and G12C presenting cells at pM to single-digit-nM potency, completely sparing wild-type. 3. Atomic accuracy, from sequence alone: Angstrom-level agreement between Cryo-EM and JAM-2 de novo designs, requiring only target sequences (not structure) as input. 4. Unrivaled speed with an AI-native in-house wet lab: Designed, built, and tested five programs in one parallelized campaign, end-to-end in-house in ~6 weeks. 5. A higher validation bar for AI-generated drug candidates: In a field increasingly rife with hype and uneven standards of proof, we provide the highest quality public wet-lab validation of AI-designed antibodies to date. We share experimental methods in full, and invite folks to adopt and build on these standards. Truly individualized therapies will be the most important contribution of AI in drug design. These advances help accelerate this future.
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The most exciting field right now is AI × bio. Nabla zero shot designed antibodies straight from from sequence that kill cancer cells at 70 picomolar, spare healthy ones over a single amino acid, and fold exactly as predicted to within an angstrom. Validated, not hype!
Today, we expand zero-shot drug design beyond binding to the design of multifunctional medicines, the intracellular proteome, and state-of-the-art atomic precision with our model, JAM-2. In a new report (below), we show: 1. The first drug-grade, fully computationally designed multispecific antibodies against five peptide-MHCs: Routine picomolar T-cell activation/cell-killing EC50s, >100-fold selectivity, and drug-like developability 2. The first fully generatively designed, drug-grade dual-variant KRAS G12 multispecifics: They recruit primary T-cells from human donors to kill G12V and G12C presenting cells at pM to single-digit-nM potency, completely sparing wild-type. 3. Atomic accuracy, from sequence alone: Angstrom-level agreement between Cryo-EM and JAM-2 de novo designs, requiring only target sequences (not structure) as input. 4. Unrivaled speed with an AI-native in-house wet lab: Designed, built, and tested five programs in one parallelized campaign, end-to-end in-house in ~6 weeks. 5. A higher validation bar for AI-generated drug candidates: In a field increasingly rife with hype and uneven standards of proof, we provide the highest quality public wet-lab validation of AI-designed antibodies to date. We share experimental methods in full, and invite folks to adopt and build on these standards. Truly individualized therapies will be the most important contribution of AI in drug design. These advances help accelerate this future.
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Congratulations to my old boss. Empathy, intelligence, coolness under pressure, and goodness to the core. We need more of this. Was great jamming with him on what we're building at @fiftyyears, and how we can ensure AI creates a better future for humanity.
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"You can't build nuclear quickly" Built our first 10 MW-scale reactor and facility from bare dirt in 5 months. "You can't build nuclear affordably" Only spent $70M in our company history. Includes our real reactor & facility, fuel, prototypes, factory & equipment, payroll, regulatory costs, etc. "You can't build small nuclear at scale" 🔜 About to build out our 1,000,000 sqft factory space. More to come.
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Another day another slickly produced video announcing another massive round, often for things that shouldn't exist. "Prediction markets" that are really just online casinos. AI fake-influencer startups built to deceive people. Can't we do better?
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Elicit now has an MCP server. Use it inside Claude, ChatGPT, Copilot, Gemini, and any MCP-compatible tool. Agents hallucinate when they don't have access to the right evidence. With Elicit's MCP, they search 138M+ papers and cite instead of guess. Ask your agent to run a full Elicit research report from inside your existing workflow. It searches, screens, extracts, and produces a shareable report you can build on. Your agents are only as useful as the evidence they can access. Now they can access Elicit. Install directly in ChatGPT or ask your agent to read the setup instructions at elicit.com/api
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i think i solved it. Physics PhD, sci-fi writer, AI founder, now a biotech CEO trying to save the world? @hannu must be superhero from a Marvel universe coming to help us out. listen to @ashleevance's pod with Hannu and ponder: 1. How can we be better "parents" to the world we're creating? (inclusing AIs) 2. How ready is your country for the biothreats to come? (you can guess the answer) 3. How is so much intelligence and wisdom concentrated in one person?
Good lord he's fun to listen to
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You should work on problems where being right actually matters
Can't we do better? First short film from @fiftyyears.
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can’t we do better? @fiftyyears for storytelling that moves.
Seth Bannon
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Can’t we do better? A compelling short video from @fiftyyears that gave me goosebumps about what it means to create value in the world.
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This is very cool! Good stuff, @fiftyyears.
Can't we do better? First short film from @fiftyyears.
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Why did we make a short film? Storytelling is everywhere in tech. Slickly produced videos with A24 quality aesthetics announcing yet another massive round. Carefully crafted narratives designed to make companies feel inevitable. Increasingly, these videos are being used to sell things that just don't matter. Or worse, shouldn't exist. "Prediction markets" that are really just online casinos. AI fake-influencer startups built to deceive people. What civilization really needs are cures for disease, abundant clean energy, new scientific tools, and technologies that genuinely expand human capability. To achieve that, we need a different type of ambition. This film is our response. The opening satirical sequence leans heavily on generative AI and VFX in the polished style of the startup videos it parodies. The rest of the film moves in the opposite direction: single-camera, shot on location with vintage lenses, real actors in natural light. We hope you enjoy it.
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