Peter Norvig on what's still worth learning when AI takes over the work
Diyi_Yang · x · 2026-11-07
Podcast EP8 features Peter Norvig—co-author of AI: A Modern Approach, former Google research director, now Distinguished Education Fellow at Stanford HAI and researcher at Recursive—on what humans should still learn as AI takes on more work.
Key points:
- People should choose how much automation to accept and how much control to keep
- You have to struggle—whether lifting weights or mental exercise—to actually build capability; doing the work yourself matters
- Discussion covers what's still worth learning in AI and programming, and how to think about setting AI's objectives
Related event: Peter Norvig on AI's Next Frontier: Keep Humans Learning(3 posts)→
More from AGI Musings
- Epoch AI Researchers Push for Evidence Transparency in AI R&D Speedup Report Estimating ~2x Acceleration — Jsevillamol · 2026-11-07
- Musk: digital superintelligence will add $25T, boosting global economy 20–30% — XFreeze · 2026-11-07
- ByteDance experiments suggest Full Bandwidth Transformer matches models twice its size — DimitrisPapail · 2026-11-07
- Do you actually know a designer who quit because they couldn't find work? — oykun · 2026-11-07
- Turing Award winner David Patterson: economy output will grow ~100x in 10 years — davidpattersonx · 2026-11-07
- Researcher mocks the 'non-public model access' clout economy — ludwigABAP · 2026-11-07