Reversible Computing and an Overlooked Dimension of AI Intelligence
MikePFrank · x · 2026-07-17
Discusses the intrigue of reversible computing and its connection to underlying intelligence. The cited tweet points out that while models get smarter as training compute increases, ignoring certain foundational features of intelligence (like the impact of information erasure) means that raw compute power alone cannot compensate for this capability gap.
More from Research
- Linear Digressions returns with a new season of audio essays on AI agents — ChrisGPotts · 2026-07-21
- ARISE study tested 45 AI clinical tools in 1,100 consult cases — HealthcareAIGuy · 2026-07-21
- Async OPD distillation doubles throughput while matching synchronous math accuracy — _lewtun · 2026-07-21
- A forecasting lesson on why R-squared alone led to overfitting and worse predictions — mdancho84 · 2026-07-21
- Google DeepMind’s Project Genie talk shows how creatives feed into model research — alexanderchen · 2026-07-21
- Nat Lambert says RL distillation does not use the strongest models as teachers — natolambert · 2026-07-21