Depth Is Not Layer Count: What Nested Learning Gets Right About AI Memory
中文摘要
嵌套学习探讨AI记忆，认为深度并非仅指层数，通过模拟生物多时间尺度记忆提升AI性能。
English Summary
Nested Learning argues AI depth isn't just layer count, using biological multi-timescale memory as a foundation for AI memory experimentation.
原文节选
Hope’s multi-timescale memory resembles biological memory systems — but that resemblance is a starting point for stricter experiments, not… Continue reading on Medium »