Did Pathway just reveal the architecture breakthrough Andrew Curran predicted? Its 150M model sets a new ARC-AGI-1 cost-efficiency frontier

Reddit r/singularity 08/11/26, 02:39 PM Models

arc-agi memory-efficient post-transformer recurrent latent-reasoning cost-efficiency openai

Summary

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.

Andrew Curran recently hinted at a major architectural breakthrough in memory efficiency, coming not from a big AI lab but from a team with ties to OpenAI: https://x.com/AndrewCurran_/status/2072076893730349409 Pathway has now announced BDH-CQ: a 150M-parameter post-Transformer model that scored 29.5% on ARC-AGI-1 at a computed cost of just $0.0007 per task, establishing a new cost-efficiency frontier. It uses recurrent memory and latent reasoning instead of long token-based chains of thought. The connection is surprisingly close: a new memory-efficient architecture, developed outside the major labs, with OpenAI researcher and Transformer co-author Lukasz Kaiser as an investor and adviser. Is this the announcement Curran was hinting at?

Original Article

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