Tomaso Poggio

Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13

Tomaso Poggio, Lex Fridman

Professor Tommaso Poggio explores the intersection of Einstein's non-conformist scientific methodology and the complex engineering challenges of creating Artificial General Intelligence, arguing that while biological insights inspire current architectures, future breakthroughs require solving the "greatest problem in science": understanding human intelligence itself. By contrasting deep learning's reliance on massive labeled datasets with the brain's ability to learn from few examples, he proposes that evolution provided the necessary priors for compositional thinking, though significant gaps remain in teaching machines true understanding and ethics. Ultimately, Poggio predicts human-level AGI remains roughly two centuries away while emphasizing that curiosity, collaboration, and an environment encouraging intellectual disagreement are the true drivers of scientific progress.