Andrew Beam

6.1K posts

Andrew Beam

Andrew Beam

@AndrewLBeam

We can only see a short distance ahead, but we can see plenty there that needs to be done. CTO, @LilaSciences Professor, @Harvard | Cofounder @generate_biomed

Boston, MA Beigetreten Mart 2013
1.9K Folgt10.1K Follower
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Andrew Beam
Andrew Beam@AndrewLBeam·
Today we’re excited to share additional support in the Series A for Lila: $350M in total for the round and $550M raised to date. I’m grateful for our team, our early partners, and the investors who believe in this mission. In an earlier post I asked whether science can create the next scaling paradigm for AI. We believe the way forward is to run the scientific method at scale—hypothesize → design → run → measure → update—and let models learn from real experiments. This financing helps us do that. We’re building the world’s largest verifier for science to train a new kind of AI model. Thank you to the partners from our first close and to the new investors who joined alongside them. If you’re excited about creating a model that learns from the scientific method itself—or you’re a researcher or engineer who wants to work on important problems—we’d love to talk.
Lila Sciences@LilaSciences

We’ve closed our Series A. With $550M total raised since launch, we’re ready to scale. 🚀Learn how our Series A is fueling our next chapter: lila.ai/news/announcin…

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Andrew Beam
Andrew Beam@AndrewLBeam·
Yes
Michelle Lee@michellearning

@brad_woolf It’s not because of alpha. It’s because their data generation platform isn’t generalizable enough. See recursion and Insitro. Traditional lab automation, very powerful in scaling a protocol over and over again, but brittle and inflexible

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Arjun (Raj) Manrai
Arjun (Raj) Manrai@arjunmanrai·
🧵1/ Our new study on AI and physician reasoning just came out in @ScienceMagazine. As co-senior author, I'm excited about our findings, and I do think AI will reshape medicine. But after seeing some of the discussions, I'm also worried about how our findings may be misinterpreted.
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Shubhendu Trivedi
Shubhendu Trivedi@_onionesque·
@pfau This is how Hinton originally motivated it in talks before the paper was even out.
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David Pfau
David Pfau@pfau·
I sometimes forget how weird the dropout paper is.
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Andrew Beam
Andrew Beam@AndrewLBeam·
@pfau You didn't even pick the weirdest part
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Andrew Beam
Andrew Beam@AndrewLBeam·
Really cool work! I can't tell you how many times I've been asked "So if you went back to the early 1900s and trained a model would you discover {the structure of DNA, general relativity, etc}" so it's cool that there's a model that will let us test some this
Nick Levine@status_effects

New work with @AlecRad and @DavidDuvenaud: Have you ever dreamed of talking to someone from the past? Introducing talkie, a 13B model trained only on pre-1931 text. Vintage models should help us to understand how LMs generalize (e.g., can we teach talkie to code?). Thread:

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Andrew Beam
Andrew Beam@AndrewLBeam·
Proud to see that @LilaSciences was named as one of Fast Company’s top 10 innovative AI companies! We’ve been hard at work building a new kind of frontier lab where the scientific method is the ultimate token generator. If you’re ever in Cambridge, come by and see it for yourself!
Lila Sciences@LilaSciences

We're honored to be named one of Fast Company's Most Innovative Companies and in the top ten most innovative artificial intelligence companies of 2026! Interested in joining our team? Come build the future of science with us: lila.ai/open-roles #FCMostInnovative #Hiring

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Kenneth Stanley
Kenneth Stanley@kenneth0stanley·
Job opportunity: the Open-Endedness Team at @LilaSciences is seeking a talented research engineer who would enjoy applying your wizard-like technical skills to genuinely deep and fundamental AI research into the algorithmic basis of creativity and innovation. This role is about radical innovation at the research frontier and 10xing the capabilities of research scientists running world-changing experiments (we're not talking about “business solutions”): data pipelines, large models, distributed training, optimizing not just for current algorithms, but for exotic new approaches as well. We want our algorithms operating as efficiently as possible and scaling as seamlessly as possible as hardware resources expand. If that sounds exciting, apply below👇
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NEJM AI
NEJM AI@NEJM_AI·
In the latest episode of AI Grand Rounds, Dr. Kyunghyun Cho (@kchonyc) discusses his wide-ranging career spanning fundamental AI research, co-founding Prescient Design (acquired by @genentech), and driving applications of AI in health care. Full episode: nejm.ai/ep40
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Andrew Beam
Andrew Beam@AndrewLBeam·
Our happy hour is today at 5:30pm! Come check out our new SF HQ on Fremont street and chat with the AI team about what we're working on. Link below:
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Mohammed AlQuraishi
Mohammed AlQuraishi@MoAlQuraishi·
New OpenFold3 preview out! (OF3p2) It closes the gap to AlphaFold3 for most modalities. Most critically, we're releasing everything, including training sets & configs, making OF3p2 the only current AF3-based model that is functionally trainable & reproducible from scratch🧵1/9
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Andrew Beam
Andrew Beam@AndrewLBeam·
Incredible work from the team at Nvidia. We’ve had the privilege to get a sneak peak of the next nemotron models and can confirm they really cooked here
Bryan Catanzaro@ctnzr

Announcing NVIDIA Nemotron 3 Super! 💚120B-12A Hybrid SSM Latent MoE, designed for Blackwell 💚36 on AAIndex v4 💚up to 2.2X faster than GPT-OSS-120B in FP4 💚Open data, open recipe, open weights Models, Tech report, etc. here: research.nvidia.com/labs/nemotron/… And yes, Ultra is coming!

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Entdecken

@PeterDiamandis @ScienceMagazine @_onionesque @pfau @Nature @LilaSciences @kchonyc @genentech