Thomson Reuters launched Thomson, its first proprietary large language model, on August 24, 2026. The company says it built the model in-house from an open-source foundation and spent $40 million on training, talent, and compute—far below the multibillion-dollar investments associated with many frontier-model developers. Thomson Reuters fully owns and controls the model and says it has lower inference costs than comparable frontier models. Thomson was mid-trained and post-trained using proprietary material from Westlaw, Practical Law, Checkpoint, and Reuters, with hundreds of subject-matter experts involved in setting training goals and evaluations. Less than 10% of the company’s content has been used in training so far. Thomson Reuters says early evaluations place the model on par with recent frontier models across a range of tasks, with gains in following complex instructions and reasoning over dense professional content. The model’s first deployment will be in Tabular Analysis within CoCounsel Legal for law firms and corporate legal departments. CoCounsel Legal will continue using multiple models, applying Thomson to tasks where it has an advantage. Thomson Reuters also plans to extend its models across its legal and tax products and add sovereign-AI options. A small open-weight version of Thomson is available on Hugging Face for academic and non-commercial use, while external legal and AI academics evaluate the model.

Moonshot has secured a computing power agreement with Alibaba to utilize approximately 20,000 Nvidia chips. This partnership highlights China's dependency on Western semiconductors for its AI advancements, specifically for Moonshot's Kimi models.

Alibaba Qwen3.7 slowly fading into irrelevance at the frontier due to proprietary stance. In it's place we have Minimax M3 and... *checks notes* Rio 3.5 397b, made by the municipal IT company of Rio de Janeiro's city government. huggingface.co/prefeitura-rio…

Xbox CEO Asha Sharma announced the termination of Copilot AI development on mobile and consoles, alongside significant leadership changes aimed at addressing declining revenue. Sharma, who became CEO in February after Phil Spencer's retirement, previously held executive roles at Meta and Instacart.

OpenAI has raised $110 billion in private funding, marking one of the largest funding rounds in history. The investment includes $50 billion from Amazon and $30 billion each from Nvidia and SoftBank, with a pre-money valuation of $730 billion.

ggml.ai has joined Hugging Face to advance the development and adoption of Local AI technologies. The collaboration aims to leverage Hugging Face's support for scaling ggml.ai's efforts since its founding in 2023.

Thoughtworks held a Future of Software Development Retreat to discuss AI-enabled development. Rachel Laycock and a colleague addressed inquiries about the event's intent, clarifying it is not aimed at creating a new manifesto like the Agile Manifesto.

US investment in AI-related sectors has surpassed $1 trillion annually, driven by spending on software, computers, and data centers. This unprecedented investment boom focuses on developing the infrastructure necessary for training and deploying artificial intelligence.