Press Space to continue
This opens a new competitive landscape where vertical-specific
Press Space to continue
Now that the base open weights AI models are getting far better, and post training infra is becoming more mature and commercialized, there are going to be all new plays for companies that have large amounts of data to have their own models. Licensing data for external model training was previously the only play if you had a large corpus of information, but you can now reasonably go and train your own models as well without incurring the cost and complexity of competing with the labs on…
zachmoskow@zachmoskowAug 31
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.