The model itself is a modest entry — a 40B MoE for local coding won't trouble frontier labs — but the real claim here is the process, not the product. Automated architecture search isn't new; NAS-style methods have existed for years, so the interesting question is whether Eureka Machine finds designs humans would miss, not just faster iterations. The Decoder is right to flag the gap: one model built with AI assistance is far from demonstrated self-improvement. Still, if Recursive can show Eureka-driven designs beating human-crafted baselines at equal compute, that would be a meaningful data point for the 'AI does AI research' thesis. For now, treat it as a promising experiment wrapped in ambitious framing — benchmarks will tell.