Grady Booch says the “convergent evolution” claim overreaches; ML researchers still see value
Grady_Booch · x · 2026-07-23
- Grady Booch pushes back on the claim that the cited result proves convergent evolution between organic and artificial neurons.
- In the reply, Phillip Isola argues that even if the neuroscience claim is uncertain, studying such convergence is still useful for ML.
- The practical takeaway: identifying shared structures across different networks may help design better interfaces between networks and improve algorithms.
Related event: Debate Erupts Over Convergent Evolution of AI and the Brain(7 posts)→
More from AGI Musings
- A FAccT discussion says policy failure is not proof that the research failed — o_saja · 2026-07-23
- Anthropic debate turns into a fight over model behavior, distillation, and regulation — rickasaurus · 2026-07-23
- A 3,132-person study finds AI advice makes people far less likely to say “I don’t know” — 量子位 · 2026-07-23
- In the LLM era of STEM, the low-hanging fruit is still worth taking — littmath · 2026-07-23
- AI cited a Sora video as evidence, raising fears of synthetic-data pollution — blacklotusmag · 2026-07-23
- Model evals miss the point when they ignore tail reliability — eugeneyan · 2026-07-23