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Dwarkesh Podcast
Shane Legg (DeepMind Founder) - 2028 AGI, New Architectures, Aligning Superhuman Models
Oct 26, 2023
Shane Legg, Founder and Chief AGI Scientist at Google DeepMind, shares his insights on the future of artificial general intelligence. He predicts we might see AGI by 2028 and discusses the importance of new architectures in achieving this goal. The dialogue dives deep into aligning superhuman models with human values and the balance between AI capabilities and safety. Legg also highlights multimodality as the next frontier for AI, emphasizing its potential to interpret diverse inputs beyond text.
44:19
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Quick takeaways
- AGI is expected to be achieved around 2028 and will require new architectures and improved alignment with superhuman models.
- To ensure the ethical development of AGI, it is crucial to enhance reasoning abilities, develop comprehensive ethics understanding, and establish safety benchmarks.
Deep dives
Measuring progress towards AGI
Progress towards AGI (Artificial General Intelligence) is difficult to measure concretely. AGI aims to achieve the cognitive capabilities of humans, which encompass a wide range of tasks. While specific tasks can be measured more easily, measuring the generality of AGI is more challenging. It requires a comprehensive set of tests that cover various cognitive tasks humans can perform. Human performance serves as a benchmark, and an AI system must match or exceed human performance across different tasks. When an AI system consistently performs at or above human levels across a broad range of cognitive tasks, it can be considered as an AGI candidate.
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