Chaubard predicts running recursive reasoning models inside giant LLM latent spaces
Francois Chaubard · Recursion Is The Next Scaling Law In AI · Y Combinator · May 1, 2026 · at 37:12
Francois Chaubard proposes using small recursive models within latent continuous embedding spaces rather than discrete token space on YC Decoded.
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“What you can imagine is we found mapping from token space or from vision, from pixels, Some really cool latent space where, like, things are just nicely semantically separated, and we can, you know, makes it really easy for downstream tasks to do, but now in that space, use this, like, tiny reasoning models, use some type of, ah, recursion inside that, and train those, that model on that, a little small model on that reasoning space. I think that's really gonna work.”
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