Researchers introduced BDH-CQ, a recurrent latent reasoning model that cuts ARC-AGI inference costs by eliminating intermediate reasoning tokens. A 150-parameter variant achieves 29.5% pass@2 on ARC-A…
Researchers introduced BDH-CQ, a reasoning model combining in-context learning with recurrent latent reasoning, achieving 29.5% pass@2 on the ARC-AGI-1 evaluation set with a 150M-parameter configurati…
BDH-CQ, a 150M-parameter model, achieved a 29.5% pass@2 score on the ARC-AGI-1 benchmark at a cost of $0.00070 per task, demonstrating that recurrent latent state reasoning can outperform larger model…
BDH-CQ, a new AI model, is priced at $0.007 per task, making it approximately 11 times cheaper than OpenAI's Luna, even after an 80% price cut on Luna. The cost advantage could make BDH-CQ the logical…
Thinking Machines' 150M-parameter BDH-CQ reasoning model, which combines in-context learning with recurrent latent reasoning, achieves 29.5% pass@2 on the public ARC-AGI-1 evaluation set at a computed…
Pathway, a startup founded by Zuzanna Stamirowska, unveiled a 150-million parameter reasoning model, BDH-CQ, claiming it achieves comparable performance to leading frontier models at a fraction of the…