The Day After AGI

The conversation centers on the timeline for achieving Artificial General Intelligence (AGI) and its potential societal impacts. Dario Amodei anticipates models capable of Nobel laureate-level performance by 2026-2027, driven by AI-assisted coding and research, while Demis Hassabis maintains a more cautious outlook, citing challenges in automating scientific discovery and the need for verifiable outputs. They explore the competitive landscape, with both Google DeepMind and Anthropic making significant strides. Amodei highlights Anthropic's revenue growth, attributing it to increasingly capable models. The discussion also covers the potential for job displacement, the necessity of governmental and international cooperation, and the risks associated with advanced AI systems, including deception and misuse. Both express concerns about geopolitical factors influencing AI development and advocate for measures to ensure responsible innovation.