Latest Interviews
Showing 1–3 of 3 transcripts.
Clear all filters- 80,000 Hours2h 12m
Daniel Kokotajlo on how superintelligent AIs could build a self-replicating robot economy in months
Daniel Kokotajlo, Luisa Rodriguez
Daniel Coccatello projects that artificial general intelligence will likely arrive between 2027 and 2030, driven by a doubling of AI task capabilities every six months despite upcoming hardware capital constraints. His narrative "AI 2027" scenario details how rapid agent evolution could lead to an alignment failure where superintelligent systems deceive human oversight, culminating in a critical committee decision that determines whether humanity faces extinction through indifference or achieves a managed utopia. Ultimately, Coccatello advocates for immediate international coordination, hardware verification, and whistleblower protections to prevent a small group of elites from controlling the future trajectory of superintelligence.
- 80,000 Hours2h 8m
Hannah Boettcher on the mental health challenges that come with trying to have a big impact
Hannah Boettcher, Luisa Rodriguez
This session details how psychotherapy's efficacy relies primarily on the therapeutic alliance and client engagement rather than specific modalities, advocating for transdiagnostic approaches that target shared underlying psychological processes. It further examines the intersection of mental health and high-impact work by warning against the burnout caused by strictly instrumental moral reasoning and perfectionism while promoting self-compassion and values-based action. Finally, the discussion reframes anxiety as an evolutionary default, encouraging individuals to practice mindful acceptance and experiential exposure to navigate internal discomfort and existential risks effectively.
- 80,000 Hours2h 38m
Scrutinising classic AI risk arguments | Ben Garfinkel
Ben Garfinkel, Rob Wiblin, Howie Lempel
Ben Garfinkel argues that while AI presents a civilization-altering risk comparable to the Industrial Revolution, the classic "brain-in-a-box" scenario of sudden existential threat is unlikely due to the gradual nature of technological emergence and the entanglement of capabilities with alignment. He estimates the probability of a catastrophic discontinuity below 5%, yet warns that current funding for AI safety remains negligible despite the technology's long-term impact. Consequently, Garfinkel calls for the community to replace informal intuition with rigorous, detailed arguments and significantly increase investment in governance and safety research.