汤森路透花4000万打造的法律大模型Thomson，用175年专业数据训练，性能比肩Claude Opus 4.8。
汤森路透推出Thomson大模型，基于Qwen3.5-397B构建。该模型使用了175年法律、税务、会计和新闻数据进行持续训练，投入4000万美元开发。在汤森路透的基准测试中，Thomson性能与Claude Opus 4.8相当，超越GPT-5.5、Claude Sonnet 5和Gemini 3.1 Pro。目前仅使用了不到10%的数据集。
源：https://t.co/4O06eOpOOm
源： x.com/zachmoskow/sta… Zach Moskow @zachmoskow CRAZIEST AI story of the week. Thomson Reuters just launched an LLM called Thomson. It starts with Qwen3.5-397B, then is continually trained on 175 years of proprietary legal, tax, accounting, and news data. They spent $40M on it. Two years ago, Thomson Reuters bought a pre-revenue legal-AI startup called Safe Sign. That team built Thomson. On Thomson Reuters’ published benchmarks, they say it is comparable to Claude Opus 4.8 and ahead of GPT-5.5, Claude Sonnet 5, and Gemini 3.1 Pro overall. They have used less than 10% of their data collection so far. We’re going to see this a lot more often. 🔗 View Quoted Tweet 💬 0 🔄 0 ❤️ 0 👀 271 ⚡