Pathway's Brain-Inspired AI Gets Serious Speed Boost on AWS

Pathway tackled the challenge of building efficient AI models by developing Baby Dragon Hatchling (BDH), a post-transformer architecture that reasons in latent space rather than generating verbose chain-of-thought tokens. Using Amazon SageMaker HyperPod, they scaled BDH to achieve record-breaking cost-efficiency on the ARC-AGI-1 benchmark—proving that smarter reasoning beats brute-force token generation.