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Sakana AI Researcher Interview (March 2025 Media Feature)

Sakana AI ● Covered by 4 sources

Sakana AI published an interview with three researchers in a computer vision journal discussing why they joined the company, their daily research work, and how collaborative environments foster innovation. The researchers work on projects including model merging and LLM agents, with the company emphasizing nature-inspired approaches and multi-agent systems. Sakana AI is expanding beyond research by launching a business development division in March 2025 to commercialize its research.

Why it matters

Sakana AIで働く研究者インタビュー（2025年3月メディア掲載）

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TLDRocket 21 July 2026

The open-weight model wars just got hotter and more complicated. Alibaba's decision to open-source Qwen 3.8 Max, a 2.4-trillion-parameter model, arrives as Kimi K3—Zhipu's 2.8T parameter system—has already claimed the top spot on Frontend Web App Arena with a 1326 Elo rating, outpacing even frontier models on certain benchmarks. Both moves signal that the frontier of capable AI is no longer exclusively held by closed API providers, a shift that's forcing the U.S. administration to consider layered policy restrictions on Chinese open models. Yet technical voices inside and outside government are pushing back, arguing that constraining open-weight systems paradoxically weakens security and competition rather than strengthening either. Meanwhile, the infrastructure problems keeping teams awake have matured: model routing, world modeling for agents, and long-horizon reliability are now first-class concerns, not afterthoughts. Frontier models have even begun solving mathematical problems at superhuman levels—like finding counterexamples to the 3D Jacobian conjecture—suggesting the bottleneck has shifted from raw capability to engineering deployment.

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