Nested Learning: The Illusion of Deep Learning Architectures — mentioned by andy12_

Tue, 10 Mar 2026 16:28:47 GMT

Putting stuff you have learned into a markdown file is a very "shallow" version of continual learning. It can remember facts, yes, but I doubt a model can master new out-of-distribution tasks this way. If anything, I think that Google's Titans[1] and Hope[2] architectures are more aligned with true continual learning (without being actual continual learning still, which is why they call it "test-time memorization"). [1] https://arxiv.org/pdf/2501.00663 [2] https://arxiv.org/pdf/2512.24695

Paper and discussion history. A mention is not an endorsement.

Nested Learning: The Illusion of Deep Learning Architectures · HackerPapers discussions

Nested Learning: The Illusion of Deep Learning Architectures — mentioned by andy12_