English 
Mitsubishi Electric has put money into Sakana AI. Not just another AI headline. This one is about where current AI still breaks.
Most enterprise AI looks good in trials but struggles in messy, real-world scenarios. Think operations loaded with tacit knowledge, edge cases, and decisions that are not written anywhere. That is the gap Sakana AI is trying to close. Their approach mixes multiple foundation models instead of relying on one and focuses on learning from domain-specific knowledge that usually sits in people’s heads, not datasets.
について 三菱電機, this is less about experimentation and more about fixing execution. They plan to plug this into their Serendie platform and push into areas like manufacturing and infrastructure where precision matters and mistakes are expensive.
こちらもお読みください： ヘッドウォーターズ、データインテリジェンスツール「シンクレクト」を発表
Bigger picture. Companies are moving past generic AI deployments and chasing systems that actually understand context. This investment signals that shift. The race is no longer about who has AI. It is about who has AI that works when things get complicated.
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