Michael Poli (@MichaelPoli6)

A deeper dive on Omnii Genome. On a personal level, it's been extremely exciting to plan around the new possibilities enabled by a generative paradigm here.

Radical Numerics Verified account @RadicalNumerics Oct 22

1/10 Introducing Omnii Genome, one of eight Advances built on Omnii-1.

A single generalist model now outperforms leading specialized models (AlphaGenome) in linking genetic changes to gene activity and mapping regulatory interactions.

These capabilities help make sense of the 98% of the human genome that doesn’t code for proteins

How Omnii-1 works:

View quoted post on X

Michael Poli @MichaelPoli6 Oct 20

Today, we are launching Omnii-1, our next-generation multimodal genome language model.

Omnii-1 draws on a long line of research breakthroughs in genome language modeling, spanning model architectures, multimodal pretraining, as well as new mid-training & post-training methods tailored to biological data.

The launch includes a staggering amount of technical material: 8 full-length technical blogs (and we are just getting started).

Proud of the team for this milestone!

Eric Nguyen Verified account @exnx Oct 20

Introducing Omnii-1, our most powerful genome language model, and a major step toward general biological intelligence

In a world first, Omnii-1 designed the first AI-generated bacteriophages to be administered to a human patient with an antibiotic-resistant infection under compassionate use

View quoted post on X

Michael Poli @MichaelPoli6 Sep 9

Just a taste of what Omnii can do.

Radical Numerics Verified account @RadicalNumerics Sep 8

1/5 We pretrained Omnii, a multimodal language model on DNA. Then, we asked it to design a cancer vaccine

In new research, we show how Omnii learned to turn a tumor DNA sequence into a personalized mRNA vaccine design.

Read more here: radicalnumerics.ai/blog/omnii-can…

View quoted post on X

Michael Poli @MichaelPoli6 Jun 17

Showcasing a critical application of our new frontier genome language model, Omnii.

Omnii can strengthen biodefense pipelines by covering blind spots of existing search-based methods.

Radical Numerics Verified account @RadicalNumerics Jun 17

1/ Leaders of OpenAI, Anthropic, & GDM signed a letter urging Congress to mandate DNA synthesis screening.
But chatbots & agents can't read DNA.

So we built Omnii to defend against natural & AI-designed pathogens.

Blog: radicalnumerics.ai/blog/omnii-def…
Letter: screendna.org

View quoted post on X

Michael Poli @MichaelPoli6 Jun 15

Excited to continue the journey with Eric, Stefano, Armin, the team at @RadicalNumerics, and to have the chance to preview our next-generation model, Omnii.

True progress in biological AI demands a culture where the same conversation routinely covers frontier pretraining, systems, and data mixing one moment and complex biology the next. If that sounds like a blast, consider joining us.

Eric Nguyen Verified account @exnx Jun 15

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

View quoted post on X

Michael Poli

Latest posts 5