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Recurrent Looped Transformer

(yifanzhang-pro.github.io)

Paper written by AI
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Is this just a theory about an architecture or are there actually some benchmarks/results to substantiate it?
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appears it's just a theory, sort of surprised this lifted up so far on hn
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A fairly obvious theory at that, unless I've critically misunderstood what's being described. As with so many obvious ideas I've always assumed that the reason I haven't come across it is because it doesn't work.

> Realized reasoning gains, hardware efficiency, and RL scaling remain to be established.

Yeah so the first entry in that list is - if I may be so bold - typically what you'd start with at a small scale _before_ writing up and publishing your "genius" idea. This is the usual crank with delusions of grandeur presenting something straightforward that he hasn't tested as though it were a tested and working breakthrough.

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not sure w/o context why this is important -- no results/implementation & i believe there are prior combinations of transformers/RNNs. but perhaps I'm missing the relevance/insight
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