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…
Firehose
Filtered to tagged “Scaling laws” · clear filters
Browse: People · Companies · Papers · Podcasts · Hacker News
Browse by tag
artificial intelligence 43open-weight models 26agentic coding 20AI 14reinforcement learning 14AI safety 13continual learning 13AI agents 10cybersecurity 7large language models 7open-source 6Reinforcement learning 6benchmarking 5finance 5tech 5web development 5Agentic AI 4AI ethics 4autoregressive models 4Diffusion models 4language models 4Recursive self-improvement 4security 4vision-language models 4AI infrastructure 3AI security 3Code generation 3diffusion models 3diffusion transformers 3general 3
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…