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Thomson Reuters launches in-house AI model based on Alibaba’s Qwen

Thomson Reuters has unveiled its proprietary AI model, Thomson-1, built on Alibaba’s open-source Qwen model. The move signals growing adoption of open-source AI foundations by major enterprises, though it does not directly involve crypto or tokenization.

Original source

AI take

The significance here is less about the model itself than about sourcing: a major information incumbent is willing to build a proprietary product on a Chinese open-source foundation, which says something about how enterprise AI procurement is maturing around cost and control rather than provenance. For crypto and tokenization markets, the read-through is indirect but real — the same open-weight logic underpins much of the decentralized AI narrative, and this mainstreams the idea that frontier capability need not come from a handful of closed labs. Whether regulated data businesses keep choosing open foundations over closed vendors is the open question.

Generated by AI for reference only.

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