A 'Life Diary' Eval Could Be the Toughest Test Yet for Continual Learning in LLMs
JohnnyNi13 · x · 2026-09-18
Ely Hahami proposes a new eval for continual learning, detailed in the article On Continual Learning: Can an LLM Know a Life?
- The setup: take a diary of one person's daily experiences and update the model's weights on each experience, one at a time, measuring forgetting as you go.
- The author argues this mirrors how humans actually learn and may be the hardest possible eval for LLMs, since it tests both absorption of new knowledge and retention of old memories.
- It reframes continual learning evaluation around a concrete, human-scale question: can a model truly come to know one person's life?
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