https://video.ut0pia.org/videos/watch/e550fb6f-1809-4ed7-a1d9-fc018d4c5573 An agent written RMSNorm kernel hit 1.88x speedups on H100s. A finetuned Qwen3 0.6B hit 35% on LiveCodeBench. Neither result required a systems engineer. Just coding agents with the right skills loaded. Ben Burtenshaw from Hugging Face walks through three levels: using Claude Code interactively to write and benchmark CUDA kernels distributed as versioned repos on the Hub, a zero-shot task where an agent finetunes a model end to end from a single prompt, and a multi agent research lab running parallel experiments overnight on Hub compute while a reporter agent pushes results to a live Trackio dashboard. The through line is skills: file based context that turns a zero shot failure into a few shot workflow. CUDA programming and ML training pipelines were deep specializations that took years. Skills compress that timeline to hours. Speaker info: https://x.com/ben_burtenshaw, https://www.linkedin.com/in/ben-burtenshaw/, https://github.com/burtenshaw Fri, 22 May 2026 20:55:14 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://video.ut0pia.org https://video.ut0pia.org/lazy-static/avatars/0287a09a-aae7-4840-9843-b416426e7046.webp https://video.ut0pia.org/videos/watch/e550fb6f-1809-4ed7-a1d9-fc018d4c5573 All rights reserved, unless otherwise specified in the terms specified at https://video.ut0pia.org/about and potential licenses granted by each content's rightholder.