Chelsea Finn on what robotics' "RLHF moment" will take and the reliability bottleneck
chelseabfinn · x · 2026-09-24
Chelsea Finn and Perry Dong published a new blog on the state of RL for frontier robotics models and what's missing for robots to be broadly useful.
Core argument: reliability is one of the biggest open challenges in AI. Current models work okay when a human reviews outputs (e.g., drafting code), but reliability becomes the bottleneck as we want systems to act with more autonomy and more trust. The post explores what will be the "RLHF" moment for robotics—what it takes to get robotics to where LLMs are today and beyond.
More from AGI Musings
- Six months of Claude-generated personal podcasts linking journals, sleep and finances — mrdrozdov · 2026-09-24
- Philosopher Peter Godfrey-Smith on non-human AI consciousness and existential risk — AnnaCiaunica · 2026-09-24
- Mat Dryhurst calls out viral reposted quotes as AI slop with bot applause — matdryhurst · 2026-09-24
- Aesona's founding thesis: your 'second self' AI model must be owned by you — aaron_lou · 2026-09-24
- Is the market pricing that ~100% of enterprise data will flow through LLMs in 3 years? — gabriel1 · 2026-09-24
- Gallup: positive feelings toward AI outweigh negative in 34 of 37 countries, yet 57% have never used it — rohanpaul_ai · 2026-09-24