Given the pace of AI progress, it won't be long before models this capable are widespread. But there are strong reasons for optimism: AI will also be invaluable for defensive work.
→ View original post on X — @anthropicai, 2026-04-07 18:06 UTC
RESEARCH
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Anthropic Partners with Tech Giants for Mythos Preview
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We've partnered with Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorganChase, the Linux Foundation, Microsoft, NVIDIA, and Palo Alto Networks. Together we'll use Mythos Preview to help find and fix flaws in the systems on which the world depends. [Translated from EN to English]
→ View original post on X — @anthropicai, 2026-04-07 18:06 UTC
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Anthropic Unveils Revolutionary Model for Cybersecurity
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I spoke to Anthropic execs about the new model, which they called a "reckoning" for cybersecurity. They claim it has already found vulnerabilities in every major operating system and web browser, including some that "literally decades of security researchers" didn't find. [Translated from EN to English]
→ View original post on X — @scobleizer, 2026-04-07 18:05 UTC
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Anthropic Withholds Claude Mythos to Strengthen Cybersecurity
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NEWS: Anthropic's new model, Claude Mythos, is so powerful that it is not releasing it to the public. Instead, it is starting a 40-company coalition, Project Glasswing, to allow cybersecurity defenders a head start in locking down critical software. nytimes.com/2026/04/07/techn… [Translated from EN to English]
→ View original post on X — @scobleizer, 2026-04-07 18:01 UTC
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PackUV: Volumetric Video Compression for Immersive Concerts
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Imagine watching a concert not from a fixed camera angle, but from any angle. The catch? Volumetric video is incredibly hard to store and stream. Our work, PackUV, tackles exactly this problem. Learn more and see PackUV at work at Brown CS Blog: blog.cs.brown.edu/2026/04/07/packuv-video-native-representations-for-streaming-4d-scenes [Translated from EN to English]
→ View original post on X — @scobleizer, 2026-04-07 17:58 UTC
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Open-source agent traces dataset: crowdsourcing AI training data
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Very cool open-source traces from @TheZachMueller @LambdaAPI: huggingface.co/datasets/lamb… 150M tokens for @NousResearch's Hermes harness with Kimi-K2.5 & GLM 5.1 that was just released! clem 🤗 (@ClementDelangue) We keep saying we want open-source frontier agents. Fine. Then let’s build the dataset. @badlogicgames, creator of Pi, just shared some of his agent traces used to build Pi on @huggingface. I’m now sharing some of mine too, exporting them from @hermes, @opencode, and Claude via @tracesdotcom, and I’ll keep going. Why this matters: one of the biggest bottlenecks for open-source agent models is the data. And all of us are generating that data every day through our conversations with agents. If enough builders share even a slice of their traces publicly, we can create the largest crowdsourced open dataset for agents. Time to put your tokens where your mouth is and give a chance for open source to win! — https://nitter.net/ClementDelangue/status/2041189872556269697#m
→ View original post on X — @clementdelangue, 2026-04-07 17:57 UTC
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GLM-5.1: Open Source Model with 754B Parameters Tops Benchmarks
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754B parameters, 1.51TB on Hugging Face Z.ai (@Zai_org) Introducing GLM-5.1: The Next Level of Open Source – Top-Tier Performance: #1 in open source and #3 globally across SWE-Bench Pro, Terminal-Bench, and NL2Repo. – Built for Long-Horizon Tasks: Runs autonomously for 8 hours, refining strategies through thousands of iterations. Blog: z.ai/blog/glm-5.1 Weights: huggingface.co/zai-org/GLM-5… API: docs.z.ai/guides/llm/glm-5.1 Coding Plan: z.ai/subscribe Coming to chat.z.ai in the next few days. — https://nitter.net/Zai_org/status/2041550153354519022#m
→ View original post on X — @clementdelangue, 2026-04-07 17:56 UTC
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AI-Generated Fake Diseases: Medical Misinformation Risk
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How to create a medical condition that does not exist?
Post preprints of a fake disease (Bixonimania) and let AI take it from there -
LeRobot Releases Open-Source Bimanual Clothes Folding Robot
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Releasing one of our *largest* robotics project yet in the open
— Thomas Wolf (@Thom_Wolf) 7 avril 2026
We collected and annotated hours of clothes folding with open-arms and collaborators.
We then explored how to train the best clothes folding robotic model for bimanual setups.
And now we're releasing it all fully… https://t.co/ZaQeTJJHqeReleasing one of our *largest* robotics project yet in the open We collected and annotated hours of clothes folding with open-arms and collaborators. We then explored how to train the best clothes folding robotic model for bimanual setups. And now we're releasing it all fully in the open: data, code, models, software, explorations, learnings, you name it Enjoy, play with it, use these learnings and share yours! PS: the hub is increasingly *the* place where robotics data is being shared and used, come take a look if you haven't yet. Robotics data has been our fastest growing dataset category by far over the past few months. LeRobot (@LeRobotHF) Releasing the Unfolding Robotics blog! Time to unfold robotics: we trained a robot to fold clothes using 8 bimanual setups, 100+ hours of demonstrations, and 5k+ GPU hours. Flashy robot demos are everywhere. But you rarely see the real story: the data, the failures, the engineering. We’re sharing everything: code, data, and details in the blog → huggingface.co/spaces/lerobo… — https://nitter.net/LeRobotHF/status/2041542790610297259#m
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Open Benchmarks Grants: New Standards for AI Evaluation
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We’ve reviewed 100+ benchmark proposals through the Open Benchmarks Grants. The new table stakes for benchmarks are ones that have: rigorously validated tasks, fine-grained distributional diversity, robust eval methodology, and real model headroom. But the best benchmarks do