Episode Details

Andrej Karpathy sketches a funnel of understanding, from billions who barely use LLMs to roughly 5,000 people with access to frontier-grade systems inside labs. Sakana AI and UC Berkeley's MASS self-improvement loop lifts research-agent scores but slips on coding benchmarks, and every figure is self-reported. Voice AI executives at HumanX say the bottleneck is reasoning latency and keyword accuracy rather than voice quality.