SHOW DIRECTORY
Machine Learning Street Talk
Technical debates with machine-learning researchers on frontier papers, architectures, intelligence, philosophy, and the limits of current systems.
BIDCLUB DESCRIPTION
He won a Nobel here for AlphaFold. Then he left. - John Jumper
John JumperTim ScarfeEmmanuel Nji
AlphaFold turned a roughly year-long, $100,000 protein-structure experiment into a 5–10-minute prediction within the radius of an atom, scaling to 200 million proteins.Its moat was domain-specific engineering—Evoformer, FAPE, recycling, and iterative empiricism—not one architecture, while AlphaFold 3’s drug-design potential and John Jumper’s move to Anthropic leave important questions to monitor.
Intelligence is collective, not artificial — Prof. Michael I. Jordan (UC Berkeley / Inria)
Durable AI value may come from coordinating people, models, data owners, and incentives rather than building monolithic super-intelligence.Domain-specific systems combining prediction, fresh ground truth, uncertainty estimates, and human control could improve scientific tools, while privacy, labor, and creator compensation remain unresolved risks.