The Trump administration is discussing the creation of an AI working group that could establish a government review process for new AI models before public release, following growing cybersecurity concerns around increasingly capable systems like Anthropic's Mythos. White House
@kimmonismus
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Anthropic Launches AI Services Firm with Blackstone and Goldman Sachs
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Anthropic is launching a new AI services company with Blackstone, Hellman & Friedman, and Goldman Sachs to help mid-sized businesses integrate Claude into core operations
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Futurum and NVIDIA Frame AI as Five-Layer Stack with $690B Spend
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Futurum Group just published a report with NVIDIA that frames AI as a five-layer stack: energy, chips, infrastructure, models, applications, and the data is worth sitting with. The five largest US hyperscalers are on track to spend up to $690B on infrastructure this year alone,
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Jack Clark Predicts Fully Automated AI R&D Timeline 2027-2028
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Fully automated AI R&D: ~30% chance by the end of 2027, ~60%+ chance by the end of 2028 Overall, Anthropic's Jack Clark has written a very worthwhile essay: His timeline is that fully automated AI R&D probably won’t arrive in 2026, but we may see a proof-of-concept within 1–2
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Little-Known Startup Breaks Into Top 6 AI Video Leaderboard
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A little-known startup just landed on the @ArtificialAnlys AI leaderboard, now ranked among the top 6 in the world. Very cool @video_rebirth
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Anthropic’s Jack Clark Predicts 60% Chance of Recursive Self-Improvement by 2028
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Anthropics Jack Clarke now believes that recurse self-improvement has a 60% change of happening by end of 2028.
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AI Becomes Primary Engine for Mapping Galaxy’s Planetary Architecture
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5/ The team released open catalogs so any researcher can pick targets for follow-up with ground telescopes and ESA's upcoming PLATO mission. AI is no longer just assisting astronomers. It is becoming the primary discovery engine for mapping the galaxy's planetary architecture.
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RAVEN AI Pipeline Validates 118 Planets from TESS Mission Data
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3/ Enter RAVEN: an AI pipeline trained on hundreds of thousands of simulated planets and fake signals. It detects, vets, and confirms candidates in one go. Result: 118 validated planets, 31 brand new, and over 2,000 strong candidates from TESS mission data.
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AI Discovers 100+ Hidden Planets in NASA Star Data
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1/ Holy: Astronomers just pointed an AI at NASA data from 2.2 million stars. It found over 100 hidden planets, including worlds so extreme they shouldn't even exist according to current theory. I love it. Lets break it down and explain what it means :
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AI Integration in Education Still Lacks Proper Discussion
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While we keep talking about how AI will make new scientific discoveries and fundamentally transform research forever, one discussion is still largely missing: how we should integrate AI into education today. I hear from many sides that chatbots have already become indispensable