Thomson Reuters Builds Its Own Frontier Model

The bit I like most about Thomson Reuters’ new model is that it starts from open weights–specifically Qwen3.6-35B-A3B, via Snowdon–and then uses continual training on Thomson Reuters’ own legal, tax and news material. There is likely an opportunity here for AI labs to provide tailored industry models with much better provenance, rather than aiming for AGI. I am curious about how hyperscalers will tackle this–fine-tuning and training have always been available in Azure, for instance–but what I would really like to see is a definite move towards entirely local, entirely private models for regulated industries. That would also imply some decentralisation, and might give Europe a chance in this madness.