Latent Reasoning Landscape in 2026: Mapping Beyond Chain-of-Thought Architectures
Typical-Scene-5794 · reddit · 2026-09-01
This post analyzes the 2026 landscape of latent reasoning, suggesting the path to AGI may rely less on long CoTs and more on architectures reasoning beyond the token stream. The author categorizes latent reasoning into five families: continuous thoughts in autoregressive LMs, compressed discrete non-linguistic tokens, recurrent depth/looped models, task-trained recursive solvers, and in-context recurrent latent solvers (like BDH-CQ). It highlights distinctions in task acquisition and computation location, questioning the future of interpretable traces if latent reasoning wins on efficiency.
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