New Frontier Red Team blog: Phase 2 of Project Fetch, where we test how well Claude can program a robodog. Opus 4.7, on its own, was ~20x faster than last year's best human team aided by Opus 4.1. (The robodog, alas, still failed to fetch a beach ball.)
RESEARCH
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OpenAI helps discover 18 new diagnoses from unsolved medical cases
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OpenAI for helping find 18 new diagnoses across 376 previously unsolved medical cases.
— Greg Brockman (@gdb) 18 juin 2026
Includes diagnosing Kyra, who has been trying to understand her muscle weakness since age 9, with a rare form of myofibrillar myopathy shortly before her 28th birthday. https://t.co/02GWgaYgqL pic.twitter.com/xq4QIvwby4OpenAI for helping find 18 new diagnoses across 376 previously unsolved medical cases. Includes diagnosing Kyra, who has been trying to understand her muscle weakness since age 9, with a rare form of myofibrillar myopathy shortly before her 28th birthday.
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OpenAI helps find 18 new diagnoses across 376 unsolved cases
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OpenAI for helping find 18 new diagnoses across 376 previously unsolved medical cases.
— Greg Brockman (@gdb) 18 juin 2026
Includes diagnosing Kyra, who has been trying to understand her muscle weakness since age 9, with a rare form of myofibrillar myopathy shortly before her 28th birthday. https://t.co/02GWgaYgqL pic.twitter.com/xq4QIvwby4OpenAI for helping find 18 new diagnoses across 376 previously unsolved medical cases. Includes diagnosing Kyra, who has been trying to understand her muscle weakness since age 9, with a rare form of myofibrillar myopathy shortly before her 28th birthday.
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Discussion on LLMs choking on own vomit
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Are LLMs choking on own their vomit? @RMConservative and I discuss. https://t.co/6SxSky1W6F
— Gary Marcus (@GaryMarcus) 18 juin 2026Are LLMs choking on own their vomit? @RMConservative and I discuss.
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Brain: Continuous Learning Memory for Stateful Computer
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Introducing Brain in Computer.
— Perplexity (@perplexity_ai) 18 juin 2026
Brain is a continuously learning memory system. Every task on Computer plugs into a context graph built by Brain.
It makes Computer more stateful with every run.
Available as a research preview for all Perplexity Max subscribers. pic.twitter.com/Dw4Q7IzmqsIntroduction to Brain in Computer. Brain is a continuous learning memory system. Each task on Computer connects to a context graph built by Brain. This makes Computer more stateful with each execution. Available in research preview for all.
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Free MIT Deep Learning Course 2026 with Alexander Amini
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A free MIT course about deep learning, 2026 edition: https://t.co/dEgRHps7Ro
— MIT CSAIL (@MIT_CSAIL) 18 juin 2026
Here, MIT CSAIL researcher Alexander Amini discusses the differences between supervised, unsupervised, & reinforcement learning approaches (Lecture 5). pic.twitter.com/XQ8hKJ0l2sA free MIT course on deep learning, 2026 edition: https:// tinyurl.com/3v4x44zx Here, MIT CSAIL researcher Alexander Amini discusses the differences between supervised, unsupervised, and reinforcement learning approaches (Lecture 5).
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Making Depth Reusable by Looping World Models
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“World Models in a Loop” World models require deep computations for stable long-horizon simulation, but deeper models are costly and errors accumulate over deployments. This paper makes depth reusable by looping
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Gary Marcus celebrates another win for neurosymbolic systems
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yet another win for neurosymbolic systems!
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AI-analyzed retina photo reveals brain health
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If you want to know a lot about a person's brain health, it is embedded in a retina photo, deciphered by AI https://thelancet.com/journals/landig/article/PIIS2589-7500(26)00043-9/fulltext
… @LancetDigitalH -
Introducing Doc-to-LoRA at DLCT by Sakana AI
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Sakana AI research scientist Rujikorn (Tan) Charakorn recently presented Doc-to-LoRA at @MLCollective’s DLCT journal club, covering hypernetworks, cost amortization, and future directions. A very lively discussion followed. Many thanks to the organizers! https://youtube.com/watch?v=jb_0XcBMJQU