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.)
MACHINE LEARNING
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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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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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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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Microsoft Teams introduces Viktor, first AI employee
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An assistant helps. A chatbot replies. An employee delivers.
— Nico (@nicos_ai) 18 juin 2026
Meet Viktor, Microsoft Teams just crossed that line.
The first AI employee in Microsoft Teams: it remembers what your team has done, sees where you're headed, and turns conversations into finished work before you… https://t.co/WvsdLYFPK1An assistant helps. A chatbot replies. An employee delivers. Meet Viktor, Microsoft Teams just crossed that line. The first AI employee in Microsoft Teams: it remembers what your team has done, sees where you're headed, and turns conversations into finished work before you
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Brain improves accuracy and reduces costs with full context
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With Brain, the computer starts each task with the full context of your projects, decisions, and sources, instead of starting from scratch. On tasks that require past context, Brain improves answer accuracy by 25%, recall by 16%, and reduces costs by 13%.
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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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Grok models now available on Databricks Agent Bricks
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Grok models are now available on Databricks Agent Bricks.
— xAI (@xai) 18 juin 2026
Bring SpaceXAI's latest models to your enterprise data to power capable AI agents.https://t.co/BAjiDZnipq pic.twitter.com/GwLff8atiCGrok models are now available on Databricks Agent Bricks. Bring SpaceXAI's latest models to your enterprise data to power capable AI agents. https://
x.ai/news/grok-data
bricks
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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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GLM-5.2 free on Hugging Face via multiple inference providers for 6 hours
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GLM-5.2 is free on Hugging Face Inference Providers via Zai, Together AI, Novita, Fireworks, DeepInfra for the next 6 hours. Configure it with Pi, opencode, Codex, Claude Code or any coding agent.