Recurrent Looped Transformer (yifanzhang-pro.github.io)
14 points by MayCXC 4 hours ago | 7 comments

• vatsachak an hour ago

Paper written by AI

• dankai 2 hours ago

Is this just a theory about an architecture or are there actually some benchmarks/results to substantiate it?

• jal278 2 hours ago

appears it's just a theory, sort of surprised this lifted up so far on hn

• fc417fc802 an hour ago

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 in the wild is because it doesn't work (or is comparatively inefficient, or tends to blow up during the training run, or etc).

> 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 working breakthrough.

Ironically the cost of testing such theories has fallen to an all time low given the capabilities of coding models. I wouldn't be surprised if a frontier model could one shot a test of this.

• jal278 2 hours ago

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

• lstodd an hour ago
• fc417fc802 an hour ago

I can't believe that actually works? This is far more interesting than the half baked ML idea.

Edit: Thanks to your link I've now learned about the zigzag transformer which is yet another design that somehow feels like cheating reality. https://en.wikipedia.org/wiki/Zigzag_transformer