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BDH-CQ: Breaking the ARC-AGI Cost-Accuracy Frontier with Latent Reasoning

This story is from 2026-09-08. It is preserved in the archive; the latest stories are on the live feed.

A new model, BDH-CQ, introduces recurrent latent reasoning to solve complex tasks without verbalizing intermediate steps. By achieving 29.5% pass@2 on ARC-AGI-1 at a cost of $0.0007 per task, it establishes a new efficiency benchmark for reasoning models. 📖 Read the full article on Pneumetron → Wh…

Read the full story at DEV Community — Machine Learning ↗

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  1. 2026-09-08 05:56 · DEV Community — Machine Learning
    BDH-CQ: Breaking the ARC-AGI Cost-Accuracy Frontier with Latent Reasoning

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