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“This is the closest thing I've come to producing work that looks & feels like it was produced by a well-trained analyst.”
The most exciting outputs I am getting from my experimentation in building an AI-native workflow are not the result of prompts or single workflow skills. The really exciting outputs are a function of orchestrated pipelines, which are a set of sequentially applied skills. The
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.Mythos Preview has already found thousands of high-severity vulnerabilities—including some in every major operating system and web browser.
754B parameters, 1.51TB on Hugging Face
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.
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.
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
View quoted post💥 New in Prism today: Paper Review, an AI workflow for reviewing technical and scientific papers. This is the opposite of AI slop: we're using AI to improve scientific rigor, correctness, and reproducibility.
RT Kevin Weil 🇺🇸 💥 New in Prism today: Paper Review, an AI workflow for reviewing technical and scientific papers. This is the opposite of AI slop: we're using AI to improve scientific rigor, correctness, and reproducibility. Original tweet: https://x.com/kevinweil/status/2041573799775367525
Re @latentspacepod @_lopopolo @OpenAI we didnt get a chance to pod with Alex yet but i am making damn sure to assign due credit!!! https://x.com/alex_frantic/status/2030400081636290748
My thoughts on gas town and software factories: https://frantic.im/suddenly/
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