https://video.ut0pia.org/videos/watch/90bb4362-d107-443a-8951-8d2adc2da715 Intercom is beating their frontier API at one tenth the cost. Pinterest claims orders of magnitude. Ben Cowen from Modal argues this pattern is not the exception for maturing AI products. It is the destination. Frontier labs want their models to win at everything. You want to win at your specific business logic. Those are different goals. He offers three signals it is time to fine tune: paying more for the API than customers pay you, evals that have plateaued, and latency requirements no shared endpoint will meet. His practical case: if you have already built an agent harness and are collecting eval data, you have what you need to start RL training. Supervised fine tuning fits in 300 lines of Python. Modal customers have scaled to 50,000 sandboxes just for RL rollout. Speaker info: https://www.linkedin.com/in/benjamincowenmath, https://github.com/BenCowen Thu, 04 Jun 2026 02:07:27 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/90bb4362-d107-443a-8951-8d2adc2da715 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.