This episode argues that current AI progress is primarily driven by an immense quantity of high-quality, task-specific data, rather than improvements in sample efficiency. The speaker highlights the vast data requirements of frontier models…
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Alex Rives, Head of Science at Biohub, discusses ESM-C, a fourth-generation protein language model that leverages the "Bitter Lesson" of scaling with massive metagenomic datasets to achieve unprecedented protein structure prediction and des…
Eric Jang explains how to build AlphaGo from scratch using modern AI tools, detailing the game of Go's rules and the core Monte Carlo Tree Search (MCTS) algorithm. He describes how deep neural networks, specifically value and policy network…