Li Erran Li @ ICML 🇰🇷

@HenryYin_ @HenryYin_ @brianzhan1 Amazing insights during the panel too.

Possibly the first investor talk at a top AI conference. If you want to work with an investor who actually understands what you’re building, better call Brian

@jonchu @jonchu all I can say is that the OpenAI event is amazing not just because of K-pop.

Overheard at ICML: Anthropic researcher: “We invited them to our recruiting dinner. That’s a privilege. If they picked OAI's event instead because kpop, they’re not serious about AGI and probably not a culture fit.” Meanwhile...

@zacharylipton @zacharylipton Great chatting with you at ICML. Congrats!!

Dropping off the grid for a fabulously overdue honeymoon. Shitposts received in my absence will be triaged appropriately & reviewed on my return

@cindy_x_wu @cindy_x_wu awesome paper. Huge congratulations!!

So grateful for the outstanding honorable mention at the main conference for motion attribution as well as a best paper award at f2s workshop for our most recent work on memory for world models❤️ Both works ask a similar question: how can we better compress and control the temporal information that shapes a video model’s behavior. What a week! I learned a lot from the community. Excited for what’s next in world models 🥰 #ICML2026

Presenting Proteo-R1: Thinking Foundation Models for De Novo Protein Binder Design at ICML 2026. 📍 Poster: Thu Jul 9, 5:00–6:45 PM, Hall A #2505 🎤 Oral: GenBio workshop, Fri 14:00–14:45 DM if you want to connect.

@yining_hong @ManlingLi_ @2077AI @YejinChoinka @yining_hong Leo, Huge congrats!!

Look at these cute trophies @2077AI made for me and my advisors

@istoica05 @istoica05 amazing! Congrats Ion and the team!

This is a great milestone. Congratulations to the team!

@SGRodriques @SGRodriques @andrewwhite01 Congrats Sam, Andrew, and team! Pairing Kosmos with PHP's track record is exactly the kind of combination that should get medicines to patients faster. Excited to watch what comes next.

If you want to work on using AI to accelerate the discovery of new medicines and scale up the creation of new biotech companies, get in touch.

@dawnsongtweets @dawnsongtweets Huge congrats Dawn, Bo and the team!

🚀I'm excited to share that I will be joining Meta Superintelligence Labs (MSL) as Vice President of AI Research, together with many members of the Virtue AI team. I will help shape Meta's AI safety and AI security efforts, advancing the safety and security of frontier AI models and agentic AI systems that will serve billions of people and organizations around the world. Throughout my career, I have been driven by a simple belief: for AI to realize its full potential, it must be secure, trustworthy, and beneficial. That belief has guided my research for many years and ultimately led us to co-found Virtue AI in 2024. Our goal was to translate advances in trustworthy AI research into practical solutions and build the trust layer for AI systems and agents, enabling organizations to deploy AI with confidence. I am incredibly proud of what the Virtue AI team has accomplished. Together, we built technologies for AI security and agent security, partnered with leading enterprises and frontier AI labs, and contributed research, benchmarks, and open platforms that have helped advance the science and practice of trustworthy AI. Most importantly, we assembled an exceptional team united by a shared mission: making AI more secure, trustworthy, and beneficial. I am deeply grateful to our team, customers, collaborators, advisors, and investors for their trust and support throughout this journey. In particular, I would like to thank Lightspeed Venture Partners, Walden Catalyst Ventures, Prosperity7 Ventures, Factory, Osage University Partners, Lip-Bu Tan, and all of our supporters who helped us turn an ambitious vision into reality. Your trust, guidance, and partnership have been instrumental in shaping Virtue AI's journey. As AI systems become increasingly capable and autonomous, ensuring their security, trustworthiness, and alignment will be one of the defining challenges of our time. I am inspired by Alex, Nat, Prashant, and the broader MSL team’s vision of building AI and AI agents that benefit billions of people, and I look forward to helping make that vision a reality through advances in AI safety and security. The future of AI will not be defined solely by how intelligent our systems become, but by how secure, trustworthy, and beneficial we make them. I believe we have an extraordinary opportunity and responsibility to shape that future together and bring the benefits of AI to billions of people around the world. We're just getting started. If you're passionate about advancing frontier AI while building the foundations of AI safety, security, and trust, I'd love to hear from you. Come join us on this extraordinary journey to help shape the future of AI.

@polynoamial @OpenAI @NoamShazeer @polynoamial @NoamShazeer Cool. Need Noam A to Z! How many more to go?

I'm always thrilled to have more Noams at @OpenAI, but I'm especially thrilled to welcome @NoamShazeer!

@AndrewDai @brianzhan1 @dustinvtran @ElorianAI @AndrewDai congrats Andrew!!

Incredibly excited to welcome @dustinvtran to @ElorianAI as our new Chief Reasoning Architect! 🚀 We had an amazing time working together at Google Brain, and after seeing his incredible work leading post-training at xAI, I couldn't be more thrilled to be teaming up again. Let’s build something special! Welcome to the team, Dustin!

@joyjiao12 @adibvafa @joyjiao12 Amazing!! Can not wait for the next big update!

excited to measure and improve the helpfulness of our models on high coverage, realistic, and sophisticated biology tasks we'll be hosting LifeSciBench and other benchmarks on a third party site in the coming months so users can transparently compare model performance

@ysu_nlp @ysu_nlp incredible! Congrats Yu and team!

We trained a ~frontier Deep Research Agent on academic budget > 32 H100s > 8K synthetic samples > fully open training infra + recipe (SFT, mid-training, RL) > models of diff sizes (2B -> 35B) ready to use out of the box This is yet another demonstration of how the frontier of AI is changing. We have reached a point where open models + a small capable team + a few hundred Ks can produce specialized models with ~frontier capabilities. The future of AI doesn’t have to be held in a chokehold by a handful of closed models. We've open-sourced everything we've built and learned from this project. Hope it helps the community build more! 📌 Project: osu-nlp-group.github.io/QUEST 📌 Paper: arxiv.org/abs/2605.24218 📌 Code: github.com/OSU-NLP-Group/… 📌 Model Weights and Data: huggingface.co/collections/os… 📌 Demo: huggingface.co/spaces/osunlp/… Amazing effort led by @jianxie_ (our 1st year student!!), Tianhe Lin, Zilu Wang. joint with @hhsun1 and the @osunlp team. thanks @amazon Xiangjun Wang for a gift that covers the compute and fruitful discussion.

@pdhsu @ScienceMagazine @pdhsu incredible discovery! Turing machine for biology is the way forward! Congrats!!

Today in @ScienceMagazine, we report a new DNA editing technology to seamlessly write massive changes into the right place in the human genome. The reason gene editing hasn't transformed human health is that current gene editing technologies like CRISPR are very limited. The problem with CRISPR is that it cuts up your DNA, and then hopes that unreliable cellular DNA repair will make the wanted edit. @geochurch famously called it genome vandalism. More precise versions of CRISPR only edit less than 100 bases - often only a single base. Therefore, it's not suited to make large changes safely. However, most diseases are not the result of mutations in one location. Instead, their causes are spread all across the 3 billion base pairs in the genome. We found bridge RNAs in bacterial “jumping genes” that allow us to make safe and arbitrary changes (insert, cut out, or flip) to every nucleotide within (up to) a 1 million bp sequence in your DNA. In the paper, we show that we can correct the disease-causing DNA repeats that cause Friedreich's ataxia (which is a rare neurological disease). The same approach could be applied to Huntington’s and other repeat expansion disorders. At @arcinstitute, we're working towards a full Turing machine for biology. Evo, our DNA foundation model, helps us design the optimal healthy DNA sequences. And Bridge recombination gives us the ability to seamlessly write these changes into the right place in the genome. This work was a wonderful collaboration with my @arcinstitute cofounder @SKonermann and led by the indefatigable @ntperry13, alongside our amazing bridge editing team: @BartieLiam @dhruvakatrekar @Gabogonzalez515 @mgdurrant @james_jw_pai @AlisonFanton Juliana Martins Masa Hiraizumi @chiaroscurale @hnisimasu

@brianzhan1 @stephzhan @brianzhan1 amazing! Well deserved. Congrats!!

Excited to be on the Business Insider list of top robotics investors. The data wall is falling. For years, the bottleneck was teleoperation: slow, expensive, narrow. Now robots can learn from human video, practice in simulation before touching reality, and there is enough funding to scale data deployments. Robotics is finally running the playbook that took LLMs from autocomplete to reasoning. There are still many open frontiers. General manipulation. The right API layer for the robotics models. Application robotics. That's exactly why I'm bullish. We've just found a recipe that works. Thanks to @ryajetha for compiling the list.

@exnx @MichaelPoli6 @Massastrello @athmsx @RadicalNumerics @exnx Congrats Eric and team! Huge milestone. The dual mandate framing is exactly right for this moment. 2Mb context is a real step change for gLMs.

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

@AdamDraper @AdamDraper incredible vision! I share that too. Bio is the ultimate economic force that needs to be unleashed by AI. We are getting close to the o1 moment for digital biology.

I believe this next wave of Bio is going to be bigger than anyone can imagine. Multiple $10T companies. Maybe even a 100 Trillion dollar company.

@joyjiao12 @ChrisHayduk @bacchuswng @yunyunash @suyashss @Davediego @edwardzhou_ @kevinrao99 @joyjiao12 congratulations to the team! Can not wait to try it out!

congrats to the team, especially excited for the new medchem capabilities and performance on our new out of distribution evals! @bacchuswng @yunyunash @suyashss @davediego @edwardzhou_ @kevinrao99

@Recursive_SI @RichardSocher @jeffclune @tydsh @CaimingXiong @timshi_ai Huge congrats to the team! Can not wait to try the model with capabilities of 50K PhDs.

@maxjaderberg @maxjaderberg @m_schaarschmidt Huge congrats!! Can not wait to see what diseases will be conquered soon.

Huge news today at Isomorphic Labs! We have secured $2.1 Billion investment to advance the most important mission that AI can unlock: to change the way we can improve human health and create new medicines for patients around the world. This funding milestone was built on the strength of our AI drug design engine (IsoDDE), which has already proven its worth (aside from smashing benchmarks) by designing breakthrough new molecules and creating new scientific breakthroughs across our drug discovery programs. Our IsoDDE is giving us a repeatable way to design new medicines for a wide range of diseases, building a future of medicine that we couldn’t unlock until now. A massive thank you to our incredible team across London, Boston and Lausanne, whose relentless work made this possible, and to our partners who share our ultimate vision. Now we have so much more to build together!