Armin W. Thomas (@athmsx)

It's been a wild few years, from HyenaDNA to Evo and now Radical Numerics.

I'm proud of the science we've done, but even more excited that it's starting to make a real difference in biology. We've barely begun exploring what these models can do. A bit of the backstory here.

Eric Nguyen Verified account @exnx Nov 2

A few years ago, we were just a group of researchers chasing unconventional bets in AI.

That journey took us from new architectures like Hyena, to Evo and creating the field of generative genomics, to a much bigger realization.

We need AI that can understand biology as a whole. We started @RadicalNumerics to pursue that vision.

Here’s a conversation with my cofounders on how we got here, why we took the leap, and what we believe comes next.

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Armin W. Thomas @athmsx Oct 28

Detecting cancer early from a blood test is hard.

We adapted Omnii-1 to data it had never seen in training. It meaningfully improved cancer detection, especially in the hardest cases.

Very proud of the team behind this!

Radical Numerics Verified account @RadicalNumerics Oct 28

1/ With Omnii Diagnostics, we asked whether a multimodal genome language model could help find cancers whose signals in blood are too faint for current classifiers.

We adapted Omnii-1 to a biomarker never seen in pretraining. In a test cohort, Omnii's features improved early-stage cancer detection

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Armin W. Thomas @athmsx Oct 22

We’re only beginning to see what generative models trained across biological modalities can do.

Omnii Genome is a great example: built on Omnii-1, it demonstrates strong performance across very different genomic tasks, while supporting capabilities beyond those of leading specialized models.

Really proud of the team that made this happen. Lots more to come!

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:

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Armin W. Thomas @athmsx Oct 20

Omnii-1 is out.

We've learned a lot about what happens when you train a single model across biology rather than solving each problem separately.

Some of the more surprising results haven't made it into a blog post yet.

Incredibly proud of the team that built this!

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

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Armin W. Thomas @athmsx Oct 16

Excited to welcome @tri_dao as a scientific advisor @RadicalNumerics !

We go way back to our @HazyResearch days, working together on some of the first hybrid models (eg H3 / Hungry Hungry Hippos).

Great to have you aboard, Tri!

Eric Nguyen Verified account @exnx Oct 16

I'm excited to share that @tri_dao has joined @RadicalNumerics as a scientific advisor!

Tri and I were labmates at Stanford's Hazy Research, where he helped pioneer advances in efficient ML systems (FlashAttention).

Scaling AI across multimodal biological data demands entirely new approaches to ML systems, and Tri will help guide our research at this frontier.

Welcome aboard, Tri!

Read more: radicalnumerics.ai/blog/tri-dao
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Armin W. Thomas

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