Real-World Tasks Lack Verifiable Rewards, AI's Blindspot
sarahookr · x · 2026-08-24
The post argues that robotics breaks the loop found in code. Perfect code still fails if physical hardware is clunky, unresponsive, or unmaintained. Furthermore, real-world tasks lack clear intermediate rewards and are frequently non-verifiable. With infinite paths to get from A to B, verification becomes incredibly hard, representing AI's biggest current blindspot.
Related event: Why AI speeds ahead while robotics lags: Wooders thread, LeCun weighs in(14 posts)→
More from AGI Musings
- FDA pays small company to build a grading system for AI-written radiology reports — YvesMulkers · 2026-10-16
- 'If we developed AI in the 1800s, people would demand ASI to cure diabetes' — zetalyrae · 2026-10-16
- AI trained on the fraction of human intelligence that fit the page — r0ck3t23 · 2026-10-16
- Alignment researcher Turn_Trout blasts AI assistants scraping private Signal chats without consent — Turn_Trout · 2026-10-16
- Stage-4 cancer patient builds his own personalized mRNA vaccine with AI — TheMoonMidas · 2026-10-16
- Sim data can't cover the humanoid long tail: the sim2real debate, mapped — herbiebradley · 2026-10-16