Research
156d agoLatent Lookahead Boosts Transformer Reasoning
Apple’s new latent lookahead training lets transformers sample multiple future tokens before committing, enhancing reasoning and reducing hallucinations. By allocating compute non‑uniformly, the method improves model expressiveness and efficiency.
The Signal
Early results at the ICLR workshop show significant gains on long‑form generation tasks, signaling a shift toward more reflective language models worldwide.