路透集团斥资4000万美元基于通义千问自研AI模型
Thomson Reuters bets $40M on owning its AI instead of renting from OpenAI or Anthropic
Thomson Reuters is launching "Thomson," its own language model built on Alibaba's Qwen, at a cost of about $40 million over two years. But the benchmarks only show top marks when the model can tap into the company's own content, like Westlaw. CTO Joel Hron makes the point that what matters isn't intelligence itself, but knowing which intelligence you need to own.
汤森路透正在推出其自有语言模型“Thomson”，该模型基于阿里巴巴的Qwen构建，两年成本约为4000万美元。但基准测试仅显示，当模型能够利用公司自身内容（如Westlaw）时，才能获得高分。首席技术官Joel Hron指出，关键不在于智能本身，而在于明确你需要拥有哪种智能。
The article Thomson Reuters bets $40M on owning its AI instead of renting from OpenAI or Anthropic appeared first on The Decoder.
文章《汤森路透押注4000万美元自建AI，而非向OpenAI或Anthropic租用》首发于The Decoder。
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