Thomson Reuters bets $40M on owning its AI instead of renting from OpenAI or Anthropic

Thomson Reuters is launching its own language model, Thomson, built on Alibaba's Qwen, at a cost of about $40 million over two years, aiming to own its AI instead of renting from OpenAI or Anthropic. The model's benchmarks show top marks only when it taps into the company's own content, such as Westlaw, and CTO Joel Hron emphasizes that what matters is knowing which intelligence to own, not just intelligence itself.

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. The article Thomson Reuters bets $40M on owning its AI instead of renting from OpenAI or Anthropic https://the-decoder.com/thomson-reuters-bets-40m-on-owning-its-ai-instead-of-renting-from-openai-or-anthropic/ appeared first on The Decoder https://the-decoder.com .