Divya Nori

Submit to the GenBio Workshop at ICML this year!

@rox_ai Congrats to the team!

Agents now Run Revenue, End-to-End. Rox Autopilot is here 🚀 The world’s largest enterprises now run their critical revenue systems on Autopilot. Coding and support agents had their moment. Now it’s time for Revenue Agents No SaaS. No enrichment. No CRM. Just an Agent. We’re offering 2× free agent actions for the next 30 days. Start Autopilot at rox.com Thank you to @sequoia, @generalcatalyst, @googleventures, @marcbhargava, @vedantsuri, @davemuni, @MongoDB, @cloudsoftware, @togethercompute, @Microsoft, @databricks, and all of our other customers & partners!

We used AI to predict the failure of a Phase 3 trial before the results were announced. Today, we're publishing 10 more predictions for the future. Thread 🧵

Evo 2 is out in Nature today, showing that genome language models can predict and design across the full complexity of life, from phages to eukaryotes. A few surprises from the project, including how ignoring trillions of nucleotides was key to getting a good model. 🧵

(1/7) We're releasing ThunderKittens 2.0! Faster kernels, cleaner code, industry contributions, and new state-of-the-art BF16 / MXFP8 / NVFP4 GEMMs that match or surpass cuBLAS! Alongside this release, we’re equally excited to share some insights we learned while squeezing every last TFLOP out of Blackwell: (with @hazyresearch & generously supported by @cursor_ai)

Data mixing - determining ratios across your training datasets - matters a lot for model quality. While building Olmo 3, we learned it’s hard to set up a method that finds a strong mix, and hard to maintain that mix as datasets change throughout development. Introducing Olmix👇

@OwenDugan Congrats Owen! 🔥

Happy 🦃 Thanksgiving weekend! 🍂 This year, we cooked up a new recipe for juicy fact-storing MLPs. Instead of picking apart trained models, we asked: Can we construct fact-storing MLPs from scratch? 🤔 Spoiler: we can & we figured out how to slot these hand-crafted MLPs into Transformer blocks as modular fact stores! 🧩 New work with @garctrob @ronnygjunkins @jerrywliu @dylan_zinsley @EyubogluSabri Atri Rudra @HazyResearch! 🧵👇

Announcing onepot — making small molecules faster and cheaper Read more at onepot.ai/announcement

What if we could autocomplete DNA based on function? Today in @Nature, we share semantic design—a strategy for function-guided design with genomic language models that leverages genomic context to create de novo genes with desired functions.🧵 nature.com/articles/s4158…

Today in @Nature, in work led by @aditimerch, we report the ability to prompt Evo to generate functional de novo genes. You shall know a gene by the company it keeps! 1/n

We are actively recruiting for two positions at the interface between biology and generative design. Backgrounds of particular interest are in protein biochemistry/evolution and synthetic genomics/biology. Please consider joining us! 1/n

Congrats @divnori and the @ValthosTech team on the launch🚀! Couldn't imagine a more competent team to tackle this increasingly important problem for American biodefense 🇺🇸.

@velvetatom 🚀

Spent three years looking for a team in Biodefense to invest in. But never found one. So we built it ourselves. Valthos builds next-generation biodefense. As AI and biotech rapidly advance, we're approaching near-universal access to tools with the potential to cure humanity or make biological weapons. We have a short period of time to ensure that our capabilities to protect advance faster than the threats we face. At Valthos, we apply frontier methods to identify threats and compress the time from a biological sequence to validated medical countermeasures. Excited to share more with you all soon. Grateful to start Valthos with $30M in backing from @OpenAI @Lux_Capital @foundersfund, and many others incl. @Definition_Cap @topology_vc We are actively hiring - if you know engineers interested in solving this mission, reach out contact@valthos.com.

One of the greatest opportunities in AI safety and security is the chance to help support the creation of new industry verticals that help maximize the benefits and minimize the risks. The technology is moving fast. One of the best ways to keep up is with more technology, more research, more startups and more entrepreneurship. An industrial ecosystem of builders, companies and solutions further democratizes AI to provide broad resilience, and ensures the US continues to lead as AI increasingly powers everything around us. As AI and biotech rapidly advance, biodefense is one of those verticals. We couldn’t be more excited to back @ValthosTech @kath_mcmahon and their team of ex-Palantir and ex-Deepmind engineers and operators, and world class computational biologists from the @broadinstitute and @arcinstitute. They are pushing the frontier of protection and defense in one of the most strategic intersections of multiple world-changing technologies, and with the team to do it. Also excited to partner with @foundersfund @Lux_Capital @Definition_Cap on this. Looking forward to more.

for the past few years, pushing the frontier of generative biology has been my driving goal. this summer as part of the team @valthostech, i realized that as these capabilities advance, it’s more important than ever to deploy and operationalize them to safeguard humanity against biological threats. today, @valthostech is out of stealth with $30M in seed funding. the team is incredibly talented, and i can’t wait to see what comes next!

This Tues (10/14) at 4PM ET, @samuelhking will present "Generative design of novel bacteriophages with genome language models" Paper: biorxiv.org/content/10.110… Then, on Wed (10/15) at 4PM ET, @r_krishna3 will give an early-career talk on his research!

The ability to design antibodies against any protein of interest has major implications for medicine, biotech, and basic science. Today, we introduce Germinal, a pipeline for epitope-targeted de novo antibody design achieving  4–22% success rates with efficient experimental validation.

@LeoTZ03 @harvardmed @MiaoZelei Congrats can’t wait to see what you do next!

Late life update: I have joined @harvardmed as a PhD student in Systems, Synthetic, and Quantitative Biology. Three recent publications mark the end of my pre-PhD research journey; the remaining works will stay as preprints. I am deeply grateful to my mentors and PIs (@MiaoZelei @zheng_jusheng @pranamanam @NotinPascal @deboramarks) for their guidance, encouragement, and trust over the years. Their support has shaped my scientific thinking, given me the confidence to pursue ambitious questions, and made this journey possible :) Looking forward to the road ahead!

Many of the most complex and useful functions in biology emerge at the scale of whole genomes. Today, we share our preprint “Generative design of novel bacteriophages with genome language models”, where we validate the first, functional AI-generated genomes 🧵