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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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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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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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How to create a medical condition that does not exist?
Post preprints of a fake disease (Bixonimania) and let AI take it from there
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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/ZaQeTJJHqe
Releasing 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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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
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The uncomfortable truth about Forecasting methods: https://
valeman.medium.com/why-im-writing
-a-new-book-on-forecasting-a80300e777ec
… Quotes from the article:
"The forecasting establishment spent decades protecting its territory. The result is a generation of practitioners who were taught that statistical methods are inherently superior
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We're honored to be named to @CRN
's AI 100 list. It reflects work that we're proud of, and we're grateful for the customers who trust us with it:
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This is a very big deal: GLM-5.1 model can autonomously evaluate and improve its own work over long periods without explicit metrics, shifting from one-shot outputs to sustained, self-directed problem solving. Lets go Chubby♨️ (@kimmonismus) Another big release: GLM-5.1! China is on fire! significant increase in evals compared to GLM-5.0 tl;dr GLM-5.1 is the new open-source agentic coding model that significantly outperforms its predecessor by sustaining long-horizon problem-solving over hundreds of iterations, continuously improving results instead of plateauing, achieving state-of-the-art performance on complex software engineering benchmarks. — https://nitter.net/kimmonismus/status/2041553412878180691#m
→ View original post on X — @kimmonismus, 2026-04-07 17:30 UTC
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ICYMI: Google has released Gemma 4-their most intelligent open models yet!
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 7 avril 2026
Powered by the same world-class research behind Gemini 3, Gemma 4 delivers breakthrough intelligence on your hardware for advanced reasoning and agentic workflows.
Released under a commercially… pic.twitter.com/CVEc3H1S5d
ICYMI: Google has released Gemma 4-their most intelligent open models yet! Powered by the same world-class research behind Gemini 3, Gemma 4 delivers breakthrough intelligence on your hardware for advanced reasoning and agentic workflows. Released under a commercially