The author co-hosts three events including Rewiring the World and Pax Electricana, and discusses Electric Saul, an AI tool built with Google to advise on household electrification. The author expresses optimism about AI's practical applications in physics, engineering, and design, arguing that machine learning democratizes coding rather than posing existential risks, and notes that Electric Saul conversations cost approximately 30 cents to host with significant climate and economic benefits.
A web-based 20 questions game where players guess a random English noun by asking yes/no questions. The game uses a machine learning model called jev that evaluates questions and determines if the player has guessed correctly, without relying on LLMs or requiring significant computational resources.
Rich Sutton argues that 70 years of AI research demonstrates that general methods leveraging massive computation ultimately outperform approaches that rely on human domain knowledge. He illustrates this through examples in chess, Go, and speech recognition, where computation-intensive techniques defeated human-knowledge-based methods despite initial skepticism from researchers.