What's this about?
In the new Latent Space panel, Pushmeet Kohli and Sal Candido distinguish structure prediction from protein dynamics and whole-cell behavior. They emphasize problem-specific data and calibrated confidence. The complete publisher transcript was obtained; medical acceleration timelines remain speculation.
What exactly is uncertainty calibration?
A confidence score is useful when claims made with a given confidence are right about that often. Confidence should help decide when to trust or test a prediction.
What's the community saying / why does it matter?
No substantive independent discussion collected. A static predicted shape is not a complete account of how a protein behaves within a living system.
TLDR: Protein structure prediction is useful but incomplete. Better biological models need the right measurements and confidence that tracks actual reliability. Evaluate progress by the biological question answered, not a generic scaling claim. Chapters: data/scaling 01:00; unsolved folding 14:38; whole systems 19:09; trust 23:48. Pushmeet Kohli: “we’re just getting started” [15:28]. Sal Candido: “understanding is really important” [21:18].