Toby Ord: frontier pre-training compute gains can't explain new power-law claims

tobyordoxford · x · 2026-11-09

Toby Ord debates a power-law-of-progress study with Basil Halperin and Ramez. A possible rebuttal: measured curves are snapshots in time where compute varies but algorithms/data quality don't, unlike the historical frontier where both improved. Ord counters that pre-training compute grew only 5x per 12 months early on (slower later), so frontier pre-training gains alone can't explain the improvements implied by the law.

Related event: Oxford scholars debate the power law linking RL compute to AI task horizons(10 posts)→

Original post →

More from AGI Musings

AGI Musings channel →