How Much Data Is Enough? The Chinchilla Correction
For years the field raced to build bigger models. Then a 2022 study showed most of those giants were undertrained, and quietly redrew the map of how to spend a compute budget.
For years the field raced to build bigger models. Then a 2022 study showed most of those giants were undertrained, and quietly redrew the map of how to spend a compute budget.
A fraud model can score perfect recall offline and block nothing in production, because its training join looked a few hours into the future. Feature stores exist to enforce one contract: a training row may only see what the serv…
A language model eats trillions of tokens scraped for free. The largest open robot dataset is 527 skills gathered by hand across 21 institutions. That asymmetry, not model capacity, is what makes robot learning hard, and it expla…
Human reviewers confirmed 2,916 label errors in the ImageNet validation set, and an expert audit suggests the true figure is closer to one image in five. Every benchmark score is computed against an answer key written by people w…