scaling-latent-reasoning

Scales reasoning depth through internal iteration rather than explicit generation. Ouro models perform repeated computation in latent space with entropy-regularized objectives enabling learned depth allocation. Smaller 1.4B model matches 12B standard models through improved knowledge manipulation.

Independent GitHub snapshot · Automated classification · Original documentation governs