AI's capability improvements haven't come from it getting less affordable

·Redwood Research··

METR’s frontier time horizons are doubling every few months, providing substantial evidence that AI will soon be able to automate many tasks or even jobs. But per-task inference costs have also risen sharply, and automation requires AI labor to be affordable, not just possible.1 Many people look at the rising compute bills behind frontier models and conclude that automation will soon become unaffordable.I think this misreads the data. The rise in inference cost reflects models completing longer ...

Read full article →

Related Articles

Training Model to Predict Its Own Generalization: A Preliminary Study
Tianyi (Alex) Qiu · LessWrong · 3d ago
A Theoretical Game of Attacks via Compositional Skills
Xinbo Wu, Huan Zhang, Abhishek Umrawal, Lav R. Varshney · ArXiv cs.CL · 3d ago
BioVeil MATRIX: Uncovering and categorizing vulnerabilities of agentic biological AI scientists
Kimon Antonios Provatas, Avery Self, Ioannis Mouratidis, Ilias Georgakopoulos-Soares · ArXiv q-bio · 3d ago
Irretrievability; or, Murphy's Curse of Oneshotness upon ASI
Eliezer Yudkowsky · LessWrong · 4d ago
Verbalized Eval Awareness Inflates Measured Safety
Santiago Aranguri · LessWrong · 4d ago