日本公司 Sakana AI 打算自己训练本土大模型，想减少对美国和中国模型的依赖，有兴趣的可以看下细节。
据 Nikkei Asia 报道，日本公司 Sakana AI 将开发本土大语言模型，目标是减少对美国和中国模型的依赖。报道内容较短，未披露模型的具体版本、参数规模或基准成绩。Sakana AI 此前以 Transformer 系列进化研究和日语相关的开源模型项目闻名。
Japan's Sakana AI to build homegrown model to cut US, China reliance https://t.co/TQEMobp0Yp
Sakana's shift signals that agent-first labs are re-entering base-model development, betting that small teams with AI-managed experiment pipelines can compete on limited compute. Japanese-language post-training (Namazu) and orchestration (Fugu) offer a template for non-English markets building sovereign AI stacks. Teams weighing whether to build or fine-tune models can benchmark Sakana's three-pillar framing against single-model strategies.
Sakana AI 要在 NeurIPS 2026 悉尼办晚宴了，12 月 7 日那晚去开会的可以报名，顺便认识一下做 AI Evolution 的团队。
去 NeurIPS 的话可以报名 Sakana AI 在悉尼的晚宴，12 月 7 日晚 7 点，名额有限要筛选，11 月 30 日前出结果。
Sakana AI 的伊藤炼在富士山会合上提议日美共用一套 AI 风险评估框架，想了解日本AI政策动向可以看看
日本实验室 Sakana AI 聊它怎么切入防卫领域，已经和防卫省签了多个合同，还讲了落地难在哪，挺少见的视角。
The ontology layer plus human-approval workflows targets the gap between model performance and enterprise readiness, packaging what was previously bespoke per-project work into a reusable base. Enterprises considering agentic deployments with audit and approval requirements can compare Aquarium against platforms like Palantir Foundry's agent offerings. Sakana AI, the Tokyo-based lab behind the AI Scientist, is extending from research into enterprise tooling.
