Yoshua Bengio lays out roots of agent misalignment, calls to rethink imitation learning and RL
dhadfieldmenell · x · 2026-09-12
Yoshua Bengio published a long-form summary of his thinking on recent agent misalignment incidents, arguing that while outcomes are uncertain, we know where these issues originate and can plan accordingly. He calls for revisiting the foundations of AI training—human imitation and reinforcement learning. The post drew endorsements from Melanie Mitchell and Dylan Hadfield-Menell.
More from AGI Musings
- Designer's take: AI-generated design isn't slop — it dramatically raises the floor — signulll · 2026-10-28
- OpenAI to co-host webinar on php2shell disclosure and AI-driven vulnerability discovery — gdb · 2026-10-28
- The next generation won't browse the web — the internet becomes infrastructure — VraserX · 2026-10-28
- OpenAI's Will Depue says compute locks in US primacy as 'end of human history' nears — willdepue · 2026-10-28
- "AI is a noise floor": devs mourn losing the kindred-spirit signal in others' work — moultano · 2026-10-28
- Predicting Uber Has 3 Years Left in the US as Waymo Takes Over — JHochderffer · 2026-10-28