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.Basecamp Research trained EDEN, a 28B-parameter foundation model for biology, on Nebius: 1,024 GPUs, six weeks, no major interruptions. The result: new scaling laws for biology; new antibiotics and gene editors already in the lab.

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Nebius

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22,545 görüntüleme • 1 ay önce •via X (Twitter)

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What could scaling unlock for biology? Introducing ProGen3- our next AI foundation models for protein generation. We develop compute-optimal scaling laws up to 46B parameters on 1.5T tokens with real evidence in the wet lab. +we solve a new set of challenges for drug discovery
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What could scaling unlock for biology? Introducing ProGen3- our next AI foundation models for protein generation. We develop compute-optimal scaling laws up to 46B parameters on 1.5T tokens with real evidence in the wet lab. +we solve a new set of challenges for drug discovery

Ali Madani

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it's been a huge few weeks for ai in bio: a $2.25b Profluent x Eli Lilly and Company deal on ai-designed gene editors, verve's base-editing data, new scaling results on protein models from Chan Zuckerberg Biohub Network, Isomorphic Labs' haul. Ali Madani and i recorded a pod diving into all of it we get into taking biology from discovery to design, sequence-first vs structure-first, and why he calls this the "gpt-1.5 era" of biology... enjoy!
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it's been a huge few weeks for ai in bio: a $2.25b Profluent x Eli Lilly and Company deal on ai-designed gene editors, verve's base-editing data, new scaling results on protein models from Chan Zuckerberg Biohub Network, Isomorphic Labs' haul. Ali Madani and i recorded a pod diving into all of it we get into taking biology from discovery to design, sequence-first vs structure-first, and why he calls this the "gpt-1.5 era" of biology... enjoy!

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“The significance is that the #genetic instructions underlying the construction of different animal body plans, for example, a sea anemone and a human, are incredibly similar." Gibson Lab discusses new #research published in Current Biology. Read here:
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“The significance is that the #genetic instructions underlying the construction of different animal body plans, for example, a sea anemone and a human, are incredibly similar." Gibson Lab discusses new #research published in Current Biology. Read here:

Stowers Institute

16,991 görüntüleme • 3 yıl önce

We NOETIK built a new foundation model for spatial biology: OCTO-VirtualCell. This model is prompted to simulate single cell gene expression in "virtual cells," which are placed within real, intact patient tissue. Read about & explore these simulations below:
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We NOETIK built a new foundation model for spatial biology: OCTO-VirtualCell. This model is prompted to simulate single cell gene expression in "virtual cells," which are placed within real, intact patient tissue. Read about & explore these simulations below:

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Announcing Rosalind, the most versatile AI Co-Scientist for computational biology and therapeutics research. Giving every biologist their own frontier research lab. Make every experiment count. It's live. Links in the comments.
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Announcing Rosalind, the most versatile AI Co-Scientist for computational biology and therapeutics research. Giving every biologist their own frontier research lab. Make every experiment count. It's live. Links in the comments.

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Releasing METAGENE-1: In collaboration with researchers from USC, we're open-sourcing a state-of-the-art 7B parameter Metagenomic Foundation Model. Enabling planetary-scale pathogen detection and reducing the risk of pandemics in the age of exponential biology.
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Releasing METAGENE-1: In collaboration with researchers from USC, we're open-sourcing a state-of-the-art 7B parameter Metagenomic Foundation Model. Enabling planetary-scale pathogen detection and reducing the risk of pandemics in the age of exponential biology.

Prime Intellect

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The Bitter Lesson for Biology — Adam Green on Scaling Laws for Virtual Cells In this episode, the founder of Markov Biosciences, Adam Green, explains the "bitter lesson" for biology, the idea borrowed from Richard Sutton that large unbiased datasets and the right training objective tend to outcompete models with hard-coded rules and human priors. We talk a lot about virtual cells, sources of bias in data, and his evidence that virtual cells pre-trained on plain observational data show clean scaling laws, getting monotonically better at predicting unseen perturbations as the models grow, and beating a state-of-the-art model built specifically for that task. Our interview was about 3 hours long, but cut to 1.5 hours. My main goal was to understand Adam's perspective on virtual cells and his goal to "solve biology." Search for "The New Biology" on YouTube, Spotify, and Apple Podcasts. Timestamps: 00:00 — Cold open 01:58 — Clinical predictions from a virtual cell 05:38 — What is a "virtual cell"? 08:01 — The problems with single-cell RNA-seq 11:31 — The urns analogy 19:54 — Observational vs. perturbation 23:29 — The bitter lesson for biology 29:06 — Geometric Plackett-Luce 38:27 — Ablations and loss function 47:23 — Cells as specimens 59:26 — Antibody-Drug conjugates 1:11:16 — Will we ever understand the cell fully?
1:29:33

The Bitter Lesson for Biology — Adam Green on Scaling Laws for Virtual Cells In this episode, the founder of Markov Biosciences, Adam Green, explains the "bitter lesson" for biology, the idea borrowed from Richard Sutton that large unbiased datasets and the right training objective tend to outcompete models with hard-coded rules and human priors. We talk a lot about virtual cells, sources of bias in data, and his evidence that virtual cells pre-trained on plain observational data show clean scaling laws, getting monotonically better at predicting unseen perturbations as the models grow, and beating a state-of-the-art model built specifically for that task. Our interview was about 3 hours long, but cut to 1.5 hours. My main goal was to understand Adam's perspective on virtual cells and his goal to "solve biology." Search for "The New Biology" on YouTube, Spotify, and Apple Podcasts. Timestamps: 00:00 — Cold open 01:58 — Clinical predictions from a virtual cell 05:38 — What is a "virtual cell"? 08:01 — The problems with single-cell RNA-seq 11:31 — The urns analogy 19:54 — Observational vs. perturbation 23:29 — The bitter lesson for biology 29:06 — Geometric Plackett-Luce 38:27 — Ablations and loss function 47:23 — Cells as specimens 59:26 — Antibody-Drug conjugates 1:11:16 — Will we ever understand the cell fully?

Niko McCarty.

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Prodigy Research (YC S26) is the frontier AI trading research lab. We’re training the world’s best foundation model for quantitative finance. We've already achieved 140% returns in live trading over our YC batch, while major indices were flat or down. Prodigy’s model beats Claude Fable and GPT-5.6 Sol at autonomous quant research. Our founders are brothers who have worked at Jane Street, trained SoTA foundation models at Google DeepMind and shipped cutting-edge AI to billions of users at Apple. A new era has arrived in the world of quantitative finance. To learn more, contact founders@prodigy.markets
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Prodigy Research (YC S26) is the frontier AI trading research lab. We’re training the world’s best foundation model for quantitative finance. We've already achieved 140% returns in live trading over our YC batch, while major indices were flat or down. Prodigy’s model beats Claude Fable and GPT-5.6 Sol at autonomous quant research. Our founders are brothers who have worked at Jane Street, trained SoTA foundation models at Google DeepMind and shipped cutting-edge AI to billions of users at Apple. A new era has arrived in the world of quantitative finance. To learn more, contact [email protected]

Prodigy Research (YC S26)

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We have trained ESM3 and we're excited to introduce EvolutionaryScale. ESM3 is a generative language model for programming biology. In experiments, we found ESM3 can simulate 500M years of evolution to generate new fluorescent proteins. Read more:
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We have trained ESM3 and we're excited to introduce EvolutionaryScale. ESM3 is a generative language model for programming biology. In experiments, we found ESM3 can simulate 500M years of evolution to generate new fluorescent proteins. Read more:

Alex Rives

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New Snow Fellow: Prof Lara Malins is pioneering advances in chemical biology and peptide synthesis, with her work holding the potential to unlock new pathways in drug discovery and development. Read more about Lara: Malins Lab ANU Media ANU Research School of Chemistry
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New Snow Fellow: Prof Lara Malins is pioneering advances in chemical biology and peptide synthesis, with her work holding the potential to unlock new pathways in drug discovery and development. Read more about Lara: Malins Lab ANU Media ANU Research School of Chemistry

Snow Medical

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Today, we’re launching Prodigy Research (YC S26), the frontier AI trading research lab. We’re training the world’s best foundation model for quantitative finance. Our AI quant outperforms a top 10% trader at Jane Street, and we've already achieved more than 100% returns in live trading over our YC batch, while major indices were flat or down. Prodigy’s model beats Claude Fable and GPT-5.6 Sol at autonomous quant research. Our founders are brothers who have built strategies generating billions in PnL on a Jane Street trading desk, trained SoTA foundation models at Google DeepMind, and shipped cutting-edge AI to billions of users at Apple. A new era has arrived in the world of quantitative finance. To learn more, contact founders@prodigy.markets. Prodigy Research (YC S26)
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Today, we’re launching Prodigy Research (YC S26), the frontier AI trading research lab. We’re training the world’s best foundation model for quantitative finance. Our AI quant outperforms a top 10% trader at Jane Street, and we've already achieved more than 100% returns in live trading over our YC batch, while major indices were flat or down. Prodigy’s model beats Claude Fable and GPT-5.6 Sol at autonomous quant research. Our founders are brothers who have built strategies generating billions in PnL on a Jane Street trading desk, trained SoTA foundation models at Google DeepMind, and shipped cutting-edge AI to billions of users at Apple. A new era has arrived in the world of quantitative finance. To learn more, contact [email protected]. Prodigy Research (YC S26)

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The Crew-10 members are studying space biology and advanced tech as a new trio of crewmates gets ready to launch to the orbiting lab on April 8. Crew-9 has returned to Earth completing hundreds of hours of space research. #SpaceToGround

International Space Station

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Keith Robison (Keith Robison) is a computational biologist who has been writing about biology for decades. 35 years ago, Keith chose computational biology because he wasn't good in the lab. Today, he's using Nebula to get back in the lab. Join Keith for this series as he creates and debugs his first protocol on Nebula. Read Keith's writing: Try our cloud lab for as little as $39:
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Keith Robison (Keith Robison) is a computational biologist who has been writing about biology for decades. 35 years ago, Keith chose computational biology because he wasn't good in the lab. Today, he's using Nebula to get back in the lab. Join Keith for this series as he creates and debugs his first protocol on Nebula. Read Keith's writing: Try our cloud lab for as little as $39:

Ginkgo Bioworks

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Introducing Tahoe-x1 (Tx1) by Tahoe. A 3-billion-parameter, single-cell foundation model that learns unified representations of genes, cells, and drugs, achieving state-of-the-art performance across cancer-relevant cell biology benchmarks, open-sourced on Hugging Face. 🧵
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Introducing Tahoe-x1 (Tx1) by Tahoe. A 3-billion-parameter, single-cell foundation model that learns unified representations of genes, cells, and drugs, achieving state-of-the-art performance across cancer-relevant cell biology benchmarks, open-sourced on Hugging Face. 🧵

Nima Alidoust

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⭐ 148,000-square-feet ⭐ Four stories ⭐ 18 new biology and chemistry labs A central hub for LSU faculty and students to collaborate on nearly $37 million in annual research awards. OPEN FOR CLASS IN FALL OF 2026! 💜💛
0:34

⭐ 148,000-square-feet ⭐ Four stories ⭐ 18 new biology and chemistry labs A central hub for LSU faculty and students to collaborate on nearly $37 million in annual research awards. OPEN FOR CLASS IN FALL OF 2026! 💜💛

LSU

11,615 görüntüleme • 4 ay önce

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44:25

To go deeper on our new Life Sciences model series, research lead Joy Jiao and product lead Yunyun Wang joined Andrew Mayne on the OpenAI Podcast to discuss how we’re building models for biology, drug discovery, and translational medicine. They cover both the opportunity and the responsibility ahead: better research workflows today, more autonomous labs over time, and careful deployment from day one.

OpenAI

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We trained a robotic foundation model that can drive mobile robots in six different countries, and navigate Sproul Plaza in midday on the UC Berkeley campus! Some cool new work w/ noriaki_hirose, Lydia Ignatova, Kyle Stachowicz, Catherine Glossop, Dhruv Shah
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We trained a robotic foundation model that can drive mobile robots in six different countries, and navigate Sproul Plaza in midday on the UC Berkeley campus! Some cool new work w/ noriaki_hirose, Lydia Ignatova, Kyle Stachowicz, Catherine Glossop, Dhruv Shah

Sergey Levine

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We’re excited to share our latest work published today in Nature Biotechnology: Protein2PAM, an AI model that enables the rapid design of CRISPR editors with new PAM recognition And we’re making the model freely available for research and commercial use:
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We’re excited to share our latest work published today in Nature Biotechnology: Protein2PAM, an AI model that enables the rapid design of CRISPR editors with new PAM recognition And we’re making the model freely available for research and commercial use:

Profluent

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Today we are introducing Dyna-2, a world-action model pre-trained on one million hours of human video. At this scale, for the first time, we discovered several new scaling laws: • world-action models exhibit scaling law on human data across four orders of magnitude, from 1000 to 1,000,000 hours, • this human data scaling law implied a scaling law on never seen robot data, • both data and objective matter; world modeling and scaling on video data are essential for cross-embodiment scaling transfer to emerge 🧵
1:42

Today we are introducing Dyna-2, a world-action model pre-trained on one million hours of human video. At this scale, for the first time, we discovered several new scaling laws: • world-action models exhibit scaling law on human data across four orders of magnitude, from 1000 to 1,000,000 hours, • this human data scaling law implied a scaling law on never seen robot data, • both data and objective matter; world modeling and scaling on video data are essential for cross-embodiment scaling transfer to emerge 🧵

Dyna Robotics

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.Synthetic Sciences (YC W26) is building AI co-scientists for end-to-end scientific research. Scientists can now delegate the full research loop: literature reviews, hypothesis generation, experiment runs on GPUs, analysis, and publication-ready drafts. Battle-tested on ML research, and expanding fast across domains. Biology mode is SOTA on BixBench Verified (92%). Congrats on the launch, Ishaan Gangwani @ ICML 2026 and Aayam Bansal!
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.Synthetic Sciences (YC W26) is building AI co-scientists for end-to-end scientific research. Scientists can now delegate the full research loop: literature reviews, hypothesis generation, experiment runs on GPUs, analysis, and publication-ready drafts. Battle-tested on ML research, and expanding fast across domains. Biology mode is SOTA on BixBench Verified (92%). Congrats on the launch, Ishaan Gangwani @ ICML 2026 and Aayam Bansal!

Y Combinator

27,950 görüntüleme • 5 ay önce