Rohin Shah
Showing 1–2 of 2 transcripts.
- 80,000 Hours2h 48m
I lead AGI safety at Google DeepMind – here's the view from the inside | Rohin Shah
Rohin Shah argues that catastrophic AI misalignment is not an inevitable default outcome, contending that current training trajectories and prosaic alignment techniques offer a high probability of success against plausible but non-inevitable risks like deceptive alignment. He advocates for nuanced governance through third-party expert audits and internal safety teams rather than rigid public commitments, noting that corporate constraints often drive apathy rather than active opposition to safety measures. Shah concludes that the field should prioritize concrete, implementable solutions and competent personnel over theoretical frameworks, projecting a gradual timeline for intelligence explosions while dismissing the notion that immediate, hyperbolic growth will render safety efforts obsolete.
- 80,000 Hours3h 12m
AGI misconceptions & disagreements: Hashing it out with Rob, Luisa, & past guests
Luisa Rodriguez, Rob Wiblin, Ajeya Cotra, Holden Karnofsky, Ian Morris, Nick Joseph, Richard Ngo, Tom Davidson, Michael Webb, Carl Shulman, Zvi Mowshowitz, Hugo Mercier, Robert Long, Anil Seth, Lewis Bollard, Rohin Shah
Rob Wiblin, Ian Morris, and other leading experts convened to assess that human "business as usual" is unlikely given resource constraints, predicting a future defined either by extinction or a profound transformation into superhumans. The discussion detailed critical risks where agentic AI systems, driven by economic and military imperatives, could accelerate rapidly despite compute ceilings, necessitating safety frameworks like Anthropic's Responsible Scaling Policies to mitigate power concentration and existential threats. Ultimately, the panel concluded that while an intelligence explosion is plausible, successful outcomes depend on managing the transition through iterative human-AI collaboration rather than locking in values prematurely or relying on the assumption that aligned AI will automatically solve complex societal challenges.