Once you buy inference-time compute, continual learning is just a few steps away
dejavucoder · x · 2026-08-14
Developer dejavucoder shares an observation on X: once you're truly sold on inference-time compute, it only takes a few more steps to become a believer in continual learning — though he jokes he's not entirely sure what that means.
The one-liner reflects where AI paradigm discussions are heading: after test-time scaling became mainstream, letting models keep updating their knowledge during use is emerging as the next direction more practitioners are paying attention to.
More from AGI Musings
- Does AI remember more mean better? A test with 21 drafts — sujingshen · 2026-08-14
- In the AI Era, the Scarcest Resource Is Judgment, Not Data — ingliguori · 2026-08-14
- The AI Race Dilemma: Even Rational Actors Lead to Irrational Outcomes — ventblanc · 2026-08-14
- Matthew McDonagh: Use AI for the Right Stuff — McDonaghMatthew · 2026-08-14
- Stewart Alsop III: Six Years of Five Minutes a Day to Get to the Useful Stuff — StewartalsopIII · 2026-08-14
- AI agents vs regular bots: Reddit discusses identity verification and legitimacy — sunsetsxskies · 2026-08-14