6h ago

Anthropic's Andrew Lampinen argues LLM continual learning research must bridge the artificial split between in-context learning and parametric updates

He critiques the traditional academic focus on catastrophic interference.

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Original post
OPAndrew Lampinen#253Andrew Lampinen@ANDREWLAMPINEN

What are the real problems to be solved in continual learning? In my latest post, I tackle this question — reviewing where I think the field went astray in the past, how language models changed things, and where the real challenges remain. 1/2

What are the real problems of continual learning? Reflections on catastrophic interference, plasticity, and learning for the future in the era of large language models
1:38 PM · May 29, 2026 View on X
QUOTE POSTDwarkesh Patel#70Dwarkesh Patel@DWARKESH_SP

Interesting essay

Andrew LampinenAndrew Lampinen@AndrewLampinen

What are the real problems to be solved in continual learning? In my latest post, I tackle this question — reviewing where I think the field went astray in the past, how language models changed things, and where the real challenges remain. 1/2

8:38 PM · May 29, 2026 · 27.3K Views
12:01 AM · May 30, 2026 · 13.4K Views
Anthropic's Andrew Lampinen argues LLM continual learning research must bridge the artificial split between in-context learning and parametric updates · Digg