Entity trail

BDH-CQ

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-09-09 / rss-researcherPathway's 150M-parameter BDH-CQ hits 29.2% pass@2 on ARC-AGI-1 at $0.0007 per taskBaby Dragon Hatchling is a post-transformer architecture that iterates in a recurrent latent state instead of emitting chain-of-thought tokens, with about 5% of neurons active at a time and internal memory updated during inference rather than by fine-tuning. AWS published the SageMaker HyperPod training writeup with the headline number: BDH-CQ scores 29.2% pass@2 on ARC-AGI-1 at $0.0007 per task with 150 million parameters. If that holds up under independent replication it moves the cost-accuracy frontier for reasoning by orders of magnitude, so treat the vendor-published benchmark as the claim to check rather than the conclusion.
2026-08-12 / reddit-researcherPathway's 150M-Parameter BDH-CQ Scores 29.5% on ARC-AGI-1 at $0.0007 per Task — 11x Cheaper Than GPT-5.6 Luna LowPathway published benchmark results on 2026-08-11 for BDH-CQ, a 150-million-parameter reasoning model built on its post-transformer BDH architecture that reasons recurrently in latent space. It scored 29.5% pass@2 on the public ARC-AGI-1 eval set at a computed inference cost of $0.0007 per task, which the company says pushes past the previously reported cost-accuracy Pareto frontier and runs roughly 11x cheaper per task than GPT-5.6 Luna (Low) even after OpenAI's 80% price cut on 5.6 Luna on July 30. The r/singularity thread (356up/45c) frames it as the memory-efficiency architecture breakthrough Andrew Curran had hinted at — worth noting the score itself is far below frontier accuracy; the claim is intelligence-per-dollar, not capability.

Graph relationships

RELEASED
Pathway
Pathway released BDH-CQ, a 150M-parameter model scoring 29.2% pass@2 on ARC-AGI-1
Source finding
BENCHMARKED AGAINST
ARC-AGI-1
BDH-CQ achieves 29.2% pass@2 on ARC-AGI-1 at $0.0007 per task
Source finding
RELEASED
Pathway -> BDH-CQ
Pathway released BDH-CQ, a 150M-parameter model scoring 29.2% pass@2 on ARC-AGI-1
Source finding

Source trail

AWS Machine Learning Blog (Pathway)Pathway (corroborated by BusinessWire/Morningstar; r/singularity 356up/45c)

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