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Pathway's 150M-parameter BDH-CQ model achieves 29.5% on ARC-AGI-1 at a record-low cost of $0.0007 per task, using recurrent memory and latent reasoning instead of long token chains. The architecture may be the breakthrough Andrew Curran teased, with OpenAI researcher Lukasz Kaiser as an investor and adviser.
This paper introduces J-CoT, a recurrent reasoning framework that uses vocabulary-indexed coefficients (J-thoughts) as intermediate interfaces, enabling improved reasoning performance on mathematical, scientific, coding, and path-reasoning tasks without requiring full verbalization or dense hidden state recurrence.
This paper presents CosmicFish-HRM, a compact 82.77M parameter language model with a hierarchical reasoning module that dynamically allocates reasoning compute during inference, learning when to halt based on input complexity.