Triatomic Capital @TriatomicCap

.@RadicalNumerics came out of stealth today with the mission to be the leading AI research lab with a dual mandate across human health + bio-defense. Super excited for @TriatomicCap to be working with @exnx, @MichaelPoli6, @athmsx, @Massastrello & Team (builders of Evo/Evo2). More from Fortune: fortune.com/2026/06/15/exc… More: radicalnumerics.ai/blog/radical-n…

Together with my co-founders Michael @MichaelPoli6, Stefano @Massastrello and Armin @athmsx, I am excited to announce @RadicalNumerics is emerging from stealth with a $50M seed round to build general biological intelligence. We’re also sharing an early preview of our new model Omnii, the most powerful genome language model to date. Omnii preview link: radicalnumerics.ai/blog/radical-n… At Radical Numerics, our mission is to master the code of life, and to drive the frontier of biological AI for both design and defense. This is our dual mandate, which comes from something our own team helped make possible. Our founding team trained Evo and Evo 2, the largest biological AI models (40B params) trained on DNA sequences. Trillions of tokens across all of life, from microbes to mammals. It’s fully open source, and created the field now known as generative genomics. Last year, scientists used Evo to generate the world’s first complete genome from scratch using AI. Turns out it was a bacteriophage—a type of virus. It functioned in the real world, and in this case it was harmless. But for us, it was a clear turning point. It showed that AI is no longer just analyzing biology. It is on the cusp of generating functional lifeforms. Eventually, AI will have the power to design and control life itself. That should make all of us incredibly excited, and incredibly uneasy. (Anyone can design DNA with a new function, and have it synthesized and delivered, like something from Amazon Prime). The same technology that will help us cure cancer is the very technology that might create the next global pandemic, or worse, allow the creation of bioweapons that can wipe out populations. We believe these forces are inseparable. If you work on the frontier of biology, you have to build technology to safeguard it from its misuse. Existing biosecurity tools are sorely losing the arms race, relying on outdated “have I seen this exact thing before?” style algorithms. We founded Radical Numerics to turn the tide. And we can’t do that by training on textbooks and natural language. We must understand the language of biology from the raw physical data itself, to reason across every molecule and modality, from DNA to proteins. The next frontier for AI goes far beyond chatbots or video generators to models that can understand and engineer life. Today, we’re previewing Omnii, which is already far surpassing Evo 2, and will continue improving as we scale and add new modalities (training now). 1. For human health, Omnii can read and write whole genomes (more on writing later). It’s state of the art (SOTA) on detecting causal variants for disease, and can rank Alzheimer's mutations zero-shot. We’re partnering with a diagnostics company to use Omnii for early cancer detection (pancreatic and multi-cancer). 2. For defense, Omnii is SOTA at detecting AI-generated pathogens. We benchmarked existing detection tools, and they simply can’t detect the AI-generated ones (“deepfake viruses”). We’re partnering with a US national lab to pilot Omnii for detecting the next pandemic, both natural and AI-generated. We have a data center full of Blackwells in construction now to build the most powerful biological AI models ever. This mission takes a new kind of AI lab that can actually scale on physical, biological data: new alignment research (mid/post training), scaling long context, building out mech interp teams to dissect what these models learn, new architectures and systems designs, all from the ground up. Our team is made up of AI researchers and scientists from top labs and institutions (e.g. Stanford, MIT, Google DeepMind), but more importantly, we all share the belief that this is the most important challenge of our lifetime. If you feel similarly, we are hiring. We aim to bring the brightest minds in AI and science together to save lives. Thanks to our partners on this journey, led by Emergence Capital @emergencecap, with Obvious Ventures @obviousvc, Triatomic @TriatomicCap , and Patrick Collison @patrickc. Our advisors include Eric Horvitz @erichorvitz, CSO of Microsoft, Chris Re @HazyResearch of Stanford, George Church @geochurch of Harvard, and Andrew Weber @AndyWeberNCB, former Assistant Secretary of Defense for Nuclear, Chemical and Biological Defense Programs. Fortune article: fortune.com/2026/06/15/exc… Jobs: radicalnumerics.ai/join-us

When architecture’s stops wasting energy, the rest of the product opens up. Smaller batteries. More on-device AI. Fewer thermal constraints. New product categories that weren't viable before. That's what the Electron E1 general-purpose processor is built for. Learn more: efficient.computer #EfficientCPU #ElectronE1 #FabricArchitecture

Corsair is entering full production! Congratulations to our partner d-Matrix on the milestone.

@dMatrix @dMatrix_AI

a week ago

Corsair™ is now in full production. Products are beginning to ship in volume to priority hyperscalers, neoclouds, and frontier AI labs. Thanks to our ecosystem partners TSMC, @AristaNetworks, @Broadcom, @Supermicro, @gimletlabs, and @AlchipTECH for helping make this milestone

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I'm looking for a psychotic ex-founder to work alongside me for 16+ hours a day and live above the conference room as my Chief of Staff We're scaling team past 50 and we're the best capitalized robotics software / OS in the world DM me a video about why you need this role

Evaluating a new processor architecture usually means weeks of setup before you see a single real result. We built the effcc Compiler and the Electron E1 EVK to fix that. The effcc Compiler drops into the toolchain you already use and adds the energy efficiency you've been looking for. No rewrites. No new programming model. Just drop your existing C and C++ code and ML frameworks into the effcc Compiler and run them on the Electron E1 general-purpose processor, built for the extreme edge. Try it in the Playground or go deeper in our documentation. Playground: ow.ly/tPyX50Z7O1z Documentation: ow.ly/eSM050Z7O1x #EfficientCPU #ElectronE1 #FabricArchitecture #EdgeEfficiency

@Marlin_Capital Not a real robotics map unless it includes DimensionalOS: x.com/dimensionalos github.com/dimensionalOS/ dimensionalos.com @stash_pomichter

“…at Manifold Bio, the pace of these discoveries is accelerating and we’re about to sweep through many more of the grand challenges in medicine.” Love @ManifoldBio, and the AI x Bio impact they’re driving with ultra high throughput in-vivo development. AI x Bio really only works with real-world reinforcement loop (RL) data. Go @glebkuz, @PierceOgdenJ & Team!

Gleb Kuznetsov @glebkuz

2 weeks ago

Last week, I was invited to present at @AnthropicAI'e Boston Tech Week event. Since the Claude Code moment at the end of last year, the way we do science at @ManifoldBio made a quantum leap overnight. But really, it just came full circle. Manifold was founded by “hybrid

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With an accessible chemical space exceeding 10^100, Chemify is on the brink of Artificial General Chemical Intelligence AGCI. Find out more chemify.io

1/5 When your AI pair programmer starts making sh*t up (or, 'That time that Claude lost his mind') I built “Code Mower” – an AI coding harness with Claude Code + Codex coding as peer programmers and reviewing each other before anything merges. It was ridiculously productive on my hobby coding project. Then Friday night Claude invented a full-on fake prompt-injection attack and asked me to act on it.

What if your next coding session happened through conversation instead of an IDE? At d-Matrix, we’re building the infrastructure behind low-latency speech-to-code experiences with heterogeneous AI pipelines and optimized accelerators. Read what’s next for multimodal AI: d-matrix.ai/building-apps-…

If foundational AI models want to "figure out biology" – the fastest way to get there is with a ultra-high-throughput reinforcement learning (RL) loop that works in-vivo (aka as close to human biology as possible). @ManifoldBio is the way – it's the real-life RL loop for biology.

Gleb Kuznetsov @glebkuz

3 weeks ago

@jhuber Thanks @jhuber In addition to advancing the core mission of improving human health, the type of biology we do at @ManifoldBio is uniquely iterative/perturbative in nature and fascinating substrate for connecting AI to the real world.

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Very impressive progress on math, by @axiommathai. Go @CarinaLHong & Team!

Axiom @axiommathai

3 weeks ago

1/ Since February, 8 papers across algebraic geometry, representation theory, number theory, combinatorics have been quietly appearing on arXiv. Proofs by AxiomProver. 5 papers are now accepted at solid peer-reviewed math journals. To our knowledge, a first for the literature.

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For great AI/ML/software engineers – What's your next chapter? There's life beyond micro-optimizing click-through-rates or cleverly shaving pennies out of a hedge trade. AI can & will have a massive impact on curing deadly diseases, saving lives, and extending quality of life for the planet. You could (& should) be a part of it. This is a golden age of AI; the future is being created now. Don't waste your precious life and potential on things that won't matter. There are many noble options, but @ManifoldBio and the opportunity to work with @GlebKuz & @PierceOgdenJ is one of the best.

Gleb Kuznetsov @glebkuz

a month ago

The best place to do it would be somewhere generating diverse data with high throughput, low latency (~week scale), and deep relevance to living biological systems. That place is @ManifoldBio. We recently opened up 4 new AI roles, and we are adding an RL-focused role soon:

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We're proud to back @SGRodriques and Edison Scientific (@EdisonSci) in their mission to solve biotech’s biggest bottleneck: scaling scientific talent. In a new Gradient Descent interview, Sam (CEO/Co-Founder) details how Edison’s specialized AI agents are transforming the biopharma pipeline: 🔬 End-to-End Discovery: Their multi-agent platform, Kosmos, executes full-loop scientific reasoning – from hypothesis to data analysis. 🧬 Validated Impact: The system recently discovered a novel therapeutic approach for macular degeneration, which was successfully validated in the lab and published in Nature. 📈 High-Throughput R&D: Kosmos enables researchers to process data and generate tens of thousands of actionable findings at an unprecedented scale. While AI accelerates discovery, Sam also highlights the next critical hurdle: modernizing clinical trials to match this new pace of innovation. Watch: youtube.com/watch?v=Q7NpRG… More on Edison Scientific: edisonscientific.com

Sam Rodriques @SGRodriques

3 weeks ago

One of my favorite podcast appearances, with @l2k. There is a long history of AI overpromising and underdelivering in biotech and pharma -- why is this time different? Super fun episode.

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Exclusive: Math AI startup can prove its work axios.com/2026/05/26/axi…

Axiom is growing so fast that there isn't a single desk left at our 6000-sqft office I've seen exciting things in my career. Nothing compares to the energy of this team The hiring bar is higher and higher. I believe we have the single best hiring pipeline after OAI/Anthropic 🚀

it’s time…. 🦾🔥

Gimlet has been named to the @Redpoint InfraRed 100, which honors companies building at the cutting edge of infrastructure. As data centers transform to meet the immense needs of agentic inference, it is an incredibly exciting time to be building in this space. Check out our Nasdaq photo, and congratulations to all of the companies featured!

Coworker (@coworkerapp) launched to the public via self-serve today, giving everyone access to enterprise context-aware AI 82% cheaper. Same frontier models with deeper context and efficient routing. We've been using it at @TriatomicCap for the past few months and love it!

Alex Calder @ATCalder

3 weeks ago

Today, we dropped the price of enterprise AI by 80%. Same frontier AI. Same chat, cowork, and code experience. Just 5x more tokens for the same spend. Here’s how and why. 👇 Also, we made a video. Please enjoy.

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