Delighted to co-lead the $142M seed round in EvolutionaryScale with Nat Friedman Daniel Gross Lux Capital, a new frontier AI lab that has now trained ESM3, a natively multimodal and generative language model for proteins and the largest biological language model to date

Evolutionary Scale comes out of stealth and announces ESM3, the largest protein language model trained to date, and demonstrates using it to discover a new fluorescent protein. "From the rate of diversification of GFPs found in nature, we estimate that this generation of a new

Super excited to introduce ESM3, a 1.4B, 7B, and 98B(!) series of multimodal generative models for proteins. It's been an incredible journey working on this for the past 7 months at EvolutionaryScale. Check out the blog post and paper!

Lux unveils $142M seed round in EvolutionaryScale co-led with Nat Friedman Daniel Gross + Patrick Hsu w/ Amazon + NVIDIA They’re also revealing + making available ESM3––a natively multimodal + generative language model for proteins + the largest biological language model in history

We have trained ESM3, a generative bidirectional masked language model that reasons over the sequence, structure, and function of proteins. ESM3 is trained at three model scales - 1.4B, 7B, and 98B. x.com/alexrives/stat…

🧵 Check out what I've been working on at EvolutionaryScale 🧵 We trained a bidirectional masked generative model on protein sequence, structure and function! From 1.4B to 98B parameters, our models are so good that beating ESMFold was just a footnote 🤯 👇👇👇

🧵Today is an exciting day! We have just announced ESM3, the design of a new green fluorescent protein, and the launch of our company. Here's a short thread about the scaling and infrastructure work involved in making ESM3 happen! 🧵

Excited to finally announce & co-lead the $142M seed in EvolutionaryScale w/ Amazon Web Services NVIDIA Patrick Hsu Nat Friedman Daniel Gross. And make ESM3 family available for *widespread* use as the first generative language model to jointly reason over sequence, structure & function ...

I'm so excited to share that I've been at EvolutionaryScale, it feels like a dream come true! As one of our first projects, we took on designing a new green fluorescent protein with ESM3, our frontier generative language model for programming biology

It's been a wild ride building ESM3, a new frontier AI Model for Biology 🚀🧬 EvolutionaryScale I'm especially excited about our results on post-training that indicate that models develop a deep understanding of biology at scale which enables it to solve harder problems with less data

I’m so excited to share what we’ve been working on EvolutionaryScale. ESM3 is a multimodal generative masked language model for programming biology. Here’s a short thread on the architecture behind ESM3. 🧵 x.com/alexrives/stat…

Weekend project: Comparing ESM3 from EvolutionaryScale to ESM2 and inv_cov. The ultimate test of a protein language models is how well the pairwise dependencies it learns correlate to structure. (1/8)

After we trained ESM3, we were excited to see it could respond to complex prompts, which greatly improved with scale. While scaling has been driving advances across AI—in biology it has been largely underestimated. Article by Ewen Callaway for nature: nature.com/articles/d4158…

An incredible day for our field. Congratulations David Baker, Demis Hassabis, and John Jumper!!

Introducing ESM Cambrian. Unsupervised learning can invert biology at scale to reveal the hidden structure of the natural world. We’ve scaled up compute and data to train a new generation of protein language models. ESM C defines a new state of the art for protein

We're sponsoring the use of ESM3 and EMSC to help researchers engineer improved PETase enzymes in the @AlignBio 2025 Protein Engineering Tournament. Get started using ESMC to predict protein function and ESM3 to generate new enzymes here: github.com/evolutionarysc…