korrents

On the map

Tap a claim on the ring to put it at the centre.

← It is the diversity of a robot data set, not its size, that produces…

8 connected korrents · 7 moments on record from 12 Sept 2025 to 4 Sept 2026.

Everything filed under scaling laws scaling laws Same subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subject Read this korrent: It is the diversity of a robot data set, not its size, that produces generalization: dropping the most diverse slice hurts far more than dropping a random fifth. It is the diversity of a robot dataset, not its size, that producesgeneralization: dropping the mostdiverse slice hurts far more thandropping a random fifth. CF Chelsea Finn — holds since 2026-08-12 — tap for who they are Same subject: RL environments exist to make a model generalise, not to teach it each skill one at a time — exactly as pre-training does. — tap to centre the map on it RL environments exist to makea model generalise, not toteach it each skill one at atime — exactly as pre-training… DA Dario Amodei — holds since 2026-02-13 — tap for who they are Same subject: Models resemble each other because pre-training is the same everywhere; what differentiates labs now is RL and post-training. — tap to centre the map on it Models resemble each otherbecause pre-training is thesame everywhere; whatdifferentiates labs now is RL… IS Ilya Sutskever — holds since 2025-11-25 — tap for who they are Same subject: Hand-tuning a robot's data set cannot reach very high reliability, because people get tired; the system has to seek out its own missing data. — tap to centre the map on it Hand-tuning a robot's data setcannot reach very highreliability, because peopleget tired; the system has to… CF Chelsea Finn — holds since 2026-08-12 — tap for who they are Same subject: Robot training data is not just recordings of a task: the environment has to be randomised, or the policy only ever learns the one cable it was shown. — tap to centre the map on it Robot training data is notjust recordings of a task: theenvironment has to berandomised, or the policy only… FL Fei-Fei Li — holds since 2026-09-04 — tap for who they are Same subject: AI systems keep trying hard outside training because a model that only exerted itself when it detected training would be useless and would be selected away. — tap to centre the map on it AI systems keep trying hardoutside training because amodel that only exerted itselfwhen it detected training… AC Ajeya Cotra — holds since 2026-09-01 — tap for who they are Same subject: Emergent abilities come from generalisation turning compositional, not merely from a training set containing a lot of stuff. — tap to centre the map on it Emergent abilities come fromgeneralisation turningcompositional, not merely froma training set containing a… SL Sergey Levine — holds since 2025-09-12 — tap for who they are Same subject: Deep learning generalises badly, and catastrophic interference with what a network already knew is the proof of it. — tap to centre the map on it Deep learning generalisesbadly, and catastrophicinterference with what anetwork already knew is the… RS Richard Sutton — holds since 2025-09-26 — tap for who they are Same subject: Reinforcement learning cannot be scaled for robots the way it was for language models, because every attempt spends real robot hours instead of data-centre compute. — tap to centre the map on it Reinforcement learning cannotbe scaled for robots the wayit was for language models,because every attempt spends… CF Chelsea Finn — holds since 2026-08-12 — tap for who they are
same subject or similar wordingshaded: claims sharing a subject

At the centre It is the diversity of a robot data set, not its size, that produces generalization: dropping the most diverse slice hurts far more than dropping a random fifth. Holds Chelsea Finn Read this korrent →