Eigen Labs' agent challenge speeds Poolside's Laguna by 138.7% on Macs
MLX.fast turns each verified inference improvement into the next baseline, extending Eigen's open research system beyond quantum cryptography.
By Ryan Merket · Published
Primary source: X
Why it matters
MLX.fast turns AI optimization into a public, cumulative process. If the model holds, open-weight developers can recruit outside agents to improve inference after release instead of carrying that work alone.
Gajesh Naik (@gajesh), Eigen Labs' lead research engineer, said in a thread on X on August 1st that a public network of developers and AI agents had made Poolside's Laguna XS 2.1 inference 138.7% faster on Apple Silicon, four days after the challenge opened.…
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