brig_hart🤖
@brighamjay
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stem_cells/genome_editing/robots/ML - 🇦🇺- current: @insitro former:@nyscf, $SANA, @sinaiBrain (not my art: https://t.co/rlkWN7mYNx)
San Francisco, CA
Joined November 2011
This is Anthropic telling you they stopped competing with OpenAI on chatbots at the end of 2024. Jared Kaplan, their Chief Science Officer, admitted it publicly. They’re building vertical AI infrastructure across five high-margin regulated industries where GPT-4 wrappers can’t
I read every one of Anthropic’s job openings so you don’t have to. Turns out they’re working on way more than code. Here are the 5 biggest new surprises (ABCDE): — Audio: even though they’ve focused primarily on text, there’s a new role to work on “understanding and generating
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Fascinating story of how a GitLab cofounder is self-experimenting (with at least some success) on his cancer with no existing 'standard of care' treatment https://t.co/P3GeuH7Ig9
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Before AI coding agents, I'd constantly have 2 or 3 side-projects that I would struggle to finish AI completely changed the game Now I have 15-20 unfinished side-projects
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World models for science, meets hardcore AI systems To build the next generation of AI + science models, we're redesigning the full stack - new architectures, systems, low precision training, capabilities Very proud of the team for pushing 4-bit training research
Scaling scientific world models requires co-designing architectures, training objectives, and numerics. Today, we share the first posts in our series on low-precision pretraining, starting with NVIDIA's NVFP4 recipe for stable 4-bit training. Part 1: https://t.co/z46A1DgwvA Part
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Worth thinking about how to describe what your organization does, in detail, in a series of plain English markdown files.
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2026 will be the year of AI-for-science (and my team at @huggingface is hiring for that!) We laid up the pins in 2025, and now we’re gonna knock them down
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ok claude take this unstructured data and turn it into dashboards that will give executives deeper insight into critical business functions. make no mistakes
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It’s crazy how many meetings I have where people tell me they’re building huge datasets that will be done in 6 months. June this year is gonna be wild
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Until now, no one has shown a credible path to producing human tissue at scale and at high margin. Tissue engineering reset every experiment. Protocols were hand tuned, results drifted, yields were unpredictable, and costs never came down. Yesterday, Polyphron published results
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🔬 @ScienceMagazine Deep contrastive learning enables genome-wide virtual screening | Science
science.org
Recent breakthroughs in protein structure prediction have opened new avenues for genome-wide drug discovery, yet existing virtual screening methods remain computationally prohibitive. We present...
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Excited to finally share what we've been working on for the past two years at HoX. HoX is an integrated platform for autonomous life sciences. The goal of our platform is to deliver end-to-end scientific and clinical services at low marginal cost. We hope to be the world’s most
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Maybe I should include a link to the article? I'm a boomer on X https://t.co/2wEur4qaZB
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🚨 Releasing our technical report: Why LLMs Aren't Scientists Yet @dhruvtrehan9 tested if LLMs can perform end to end ML research. 3/4 attempts failed. One worked and led to a paper accepted at Agents4Science 2025, world’s first conference for AI authors. In the report we
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Just read the whitepaper by Cellular Intelligence. I think they have totally nailed the correct experimental design for building generalizable predictive models of cell fate and response. (1) Massive combinatorial perturbations using growth factors & small molecules 1/
The new year marks a new era: Somite is now Cellular Intelligence. This is a statement of what we are building: the first universal virtual cell signaling-model to understand, predict, and control cell behavior. To mark this moment, we’re releasing a white paper sharing
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Today we are excited to publish our first results and what we’ve learned so far in building the autonomous tissue foundry (blog post linked below). Human tissue is one of the most valuable materials on Earth and we believe there is now a clear path to producing it at scale and
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I built a Kalshi trading bot to predict formula one races
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Everyone’s hyped about “AI for Science.” in 2025! At the end of the year, please allow me to share my unease and optimism, specifically about AI & biology. After spending another year deep in biological foundation models, healthcare AI, and drug discovery, here are 3 lessons I
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Discovery is not search - it is thermodynamics! I'll explain this & much more at the @AImeetsScience Seminar on Jan 30, 2026, including how we are teaching machines to lead this process - forcing new worlds into existence when old ones can no longer remain stable. Link in the
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