Why Do Frontier Models Still Rely on Natural Language for Reasoning?
nagpalchirag · x · 2026-08-13
The author questions the current post-training reasoning mechanisms of frontier models, noting that they still retain the syntax and semantics of natural language. He argues there should be a compacter, denser representation for models to reason in. The fact that models don't devolve into more atomic token sequences suggests that we might be over-pretraining.
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