Recursive's Eureka Machine picks a 40B/2.5B-active architecture with 4-bit quantized LM head

thursdai_pod · x · 2026-10-26

Recursive's Eureka Machine — an AI scientist system — autonomously chose the architecture for its local coding model: 40B total params, 2.5B active, and a 4-bit quantized LM head, a design choice human researchers would typically reject — yet it worked.

Recursive's Tim Shi explains on the Thursdai podcast why this unconventional setup suits local coding use cases.

Related event: AI Scientist Defies Conventional Wisdom, Quantizes LM Head to 4-bit and It Works(4 posts)→

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