Poker Theory and Analytics | Sloan School of Management | MIT OpenCourseWare https://
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#AI #MachineLearning #DeepLearning #LLMs #DataScience
RESEARCH
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MIT Poker Theory Analytics Course Explores Machine Learning Applications
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CEO’s 2025 AI Predictions and Developments
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You're making me blush @Inc
! https://
inc.com/kit-eaton/here
-are-the-big-2025-predictions-for-ai-from-a-ceo-who-was-right-about-this-years-developments/91034135
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Technology’s Role in Solutions: Exploring Innovation Opportunities
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Either way, the conversation needs to evolve rapidly and we need to explore the role of technology in any potential solution. If you’re working on something interesting – get in touch!
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Community efforts addressing foundational AI questions and challenges
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So what should we do? It’s been great to see the community coming together to start answering some of these questions, with some of the top names in the field taking these questions seriously. But much of the de novo-focused work remains high level.
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Biological Design Policy Proposals and Their Evolution
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The most detailed proposals we’ve seen come from @kesvelt
, but they were published in November 2022. A short-time in traditional policy, a long time in biological design tool evolution. -
Regulating Specialist Biodesign Tools: Beyond Compute Thresholds
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The story’s different when it comes to specialist biodesign tools – going back to our DNA synthesis scenario at the top. But the regulatory approaches that may work for big frontier labs (e.g. compute thresholds) don’t translate so well for these. The scale/capability
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LLM Biorisk Research Lacks Central Question Demonstrations
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There are certain central questions LLM-focused biorisk research needs to demonstrate to us, but we haven’t seen signs of it yet. That, of course, may change.
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AI Accelerating Biomedical Research and Therapeutic Innovation
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First thing’s first, we should be clear that we are optimists about the potential of AI to accelerate research in bio and have no sympathy with calls to ‘pause AI’. We think the kind of therapeutic work companies like @profluentbio are doing will change lives for the better.
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Biorisks LLMs Critical Analysis Open Source Security
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Much of the biorisk work on text-based LLMs struck us as reasonably unconvincing: it often shoed the ability of LLMs to answer a handful of Qs about pathogens…and not much else. @1a3orn
’s takedown of this work, along with their wider writing about attacks on open source, is -
Chai: Open-Source AlphaFold3-Level Protein Structure Prediction
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So excited to see more biology open-source models! Chai by @chaidiscovery does structure predictions at AlphaFold3 levels of accuracy and able to handle multi-peptide or peptide-ligand complexes rather than just single chains. All in Apache 2.0 on Hugging Face: