New PNAS paper: human learning is an understudied lever for boosting human–AI synergy
iyadrahwan · x · 2026-09-23
A new paper in PNAS by Stefan Berger and colleagues (with Dirk Wulff, Stefan Herzog, Thomas Kosch) argues that human learning is an understudied but promising lever for boosting human–AI synergy.
The core claim: most human–AI collaboration research focuses on improving the AI side, while systematically improving how humans learn and adapt alongside AI deserves far more attention.
More from AGI Musings
- Yann LeCun: desk-reject papers that fail LLM watermarking detection — RexDouglass · 2026-09-23
- Consultant Rants: Enterprise Staff Now Fake Productivity With LLMs, Nobody Thinks Anymore — sebpaquet · 2026-09-23
- Bill Gates: World May 'Suffer a Few Negatives' of AI Before Regulation Catches Up — Polymarket · 2026-09-23
- In the AI pause debate, opinions of middle powers without AI stakes are largely irrelevant — gsiemens · 2026-09-23
- 'AGI insurance': get an artistic ultra-high-taste girlfriend and learn to develop your own taste — zack_overflow · 2026-09-23
- Mysteries of AI generalization: emergent misalignment, Hacker Opus, and graded-episode quirks — Astral Codex Ten · 2026-09-23