AI keeps moving up the timeline on cancer detection. Mayo Clinic just built an AI called REDMOD that spots pancreatic cancer on routine CT scans 16 months before doctors do. It caught 73% of early cancers. On scans more than two years before diagnosis, it was nearly 3x better.
RESEARCH
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AI Models: Betting on Progress Without Existential Risk
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they're making a bet that models get smarter and/or more useful than they are today, but not so smart and/or useful that they just eat everything on top of them. there's a lot of "this technology is totally different than anything that came before" but "woah woah not so
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25 Years of Accurate Technical Predictions on AI Architectures
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my technical predictions have been largely correct for 25 years and i believe understand the architectures well, so feel comfortable making predictions.
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Introspection Adapters Enable Language Models Self-Report Misalignment
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In new Anthropic Fellows research, we discuss “introspection adapters": a tool that allows language models to self-report behaviors they've learned during training—including potential misalignment.
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Anthropic’s GPU Push and Open Source Stance Controversy
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He is I attribute like 1% of my relentless push for Buy a GPU to him and all the anti-opensource folks at Anthropic
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Eugene Covers Paper Club on Latent Space Podcast
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eugene is doing a great job covering it on the @latentspacepod paper club (will post on the youtube soon)
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AI Explores Hypothetical Physics and Biology in Speculative Science
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Speculative Science & Frontier Modeling Platforms
— Yohei (@yoheinakajima) 29 avril 2026
AI collaborates with scientists to explore hypothetical physics, biology, and new paradigms. This isn’t just research acceleration, it’s exploration of entirely new possibility spaces.
The behavior underpinning it is curiosity… pic.twitter.com/s6urkKLf1HSpeculative Science & Frontier Modeling Platforms AI collaborates with scientists to explore hypothetical physics, biology, and new paradigms. This isn’t just research acceleration, it’s exploration of entirely new possibility spaces. The behavior underpinning it is curiosity
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AI Agents Simulate Branching Timelines for Decision-Making
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Temporal Reflection & Decision Simulation Systems
— Yohei (@yoheinakajima) 29 avril 2026
Agents simulate future scenarios across personal, corporate, and societal decisions. Instead of static analytics, users interact with branching timelines and probabilistic outcomes.
This taps into a timeless behavior: humans… pic.twitter.com/zydDUneUVsTemporal Reflection & Decision Simulation Systems Agents simulate future scenarios across personal, corporate, and societal decisions. Instead of static analytics, users interact with branching timelines and probabilistic outcomes. This taps into a timeless behavior: humans
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DeepSeek v4 Demonstrates SOTA Long Context Efficiency Without Benchmarking
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IMO DeepSeek v4 demonstrated utter confidence and competence by not benchmaxxing, not focusing on some BS final run cost, not even spending inference-optimal compute. just showed up, demonstrated SOTA long context efficiency techniques (CSA, HCA, mHC, flash at 8% cost of pro,