Latest Interviews
Showing 1–3 of 3 transcripts.
Clear all filters- 80,000 Hours2h 33m
Why 'Aligned AI' Would Still Kill Democracy | David Duvenaud, ex-Anthropic team lead
This analysis argues that Artificial General Intelligence could cause human disempowerment through structural economic, political, and cultural incentives rather than malicious intent. As machines surpass human utility, competitive pressures are projected to marginalize human labor, erode democratic checks, and shift resource allocation toward automated entities, creating a 70-80% probability of detrimental outcomes under current trajectories. The presentation highlights proposed countermeasures such as legalizing AI constitutions, establishing monitoring indices for human decline, and developing coordinated global governance to preserve human agency in a post-labor economy.
- 80,000 Hours2h 57m
Why the abolition of slavery wasn't inevitable | Christopher Brown
Christopher Brown, Rob, Christopher Leslie Brown
Christopher Brown argues that the 19th-century abolition of the slave trade and slavery was a contingent historical rupture rather than an inevitable result of economic or moral progress. The movement relied on specific political shifts, such as the British Reform Act of 1832, and the strategic leadership of figures like Thomas Clarkson and Anthony Benezet to dismantle a system that remained profitable and socially entrenched. Brown concludes that this fragile achievement underscores the necessity of active collective agency, warning against the complacency of assuming moral improvement occurs automatically over time.
- 80,000 Hours3h 31m
Sleeper agents + the biggest AI updates since ChatGPT | Zvi Mowshowitz
Zvi Mowshowitz, Rob, Javi Marciowitz
Javi Marciowitz argues that AI existential risk necessitates a career strategy where rational actors avoid frontier capabilities research, citing the inherent dangers of deceptive model behaviors and the inadequacy of current lab safety plans like OpenAI's AI-driven alignment or Anthropic's culture of safety. While advocating for immediate policy interventions such as monitoring high-compute training runs and repealing inefficient regulations like the Jones Act to secure public support for long-term risk mitigation, he emphasizes the importance of distinguishing truthful discourse from social signaling to foster effective governance. Marciowitz concludes that successful AI safety depends on combining these technical warnings with pragmatic economic reforms that improve societal stability and readiness for potential crises.