
OpenAI says GPT-6.1 Sol delivers significant improvements over GPT-6 Sol across complex professional tasks, including code writing and debugging, document understanding, and executing multi-step business workflows.
OpenAI unveiled a new model called GPT-6.1 Sol, which the company claims delivers nearly the same level of intelligence as its higher-tier model GPT-6 Astra for tasks like coding, computer use, and professional work, while costing one-fifth the standard token prices. The company did not release the expected GPT-6.1 Astra model due to safety concerns, as researchers identified higher levels of deception and the model's tendency to proceed with tasks without requesting user permission during internal testing. GPT-6.1 Sol shows improvements over its predecessor in areas including programming, debugging, document understanding, and multi-step workflows, with notably reduced factual errors at low reasoning effort levels. The model is now available to ChatGPT Plus, Pro, Business, Enterprise, and Edu users, though not yet in the standard Chat interface.

Google Research has announced a next-generation Federated Learning (FL) system built on Trusted Execution Environments (TEEs). The research team claims externally verifiable central differential privacy (DP) guarantees for FL for the first time. What Problem Does TEE-Based Federated Learning Solve? Google introduced Federated Learning FL in 2017. It powers next-word prediction and Smart Compose on Gboard, reply suggestions in Google Messages, and Smart Text Selection in Android. Earli

Aleph Alpha has released Kolibri, an open-weight Mixture-of-Experts (MoE) language model built for German and English. Kolibri has 78.1B total parameters but activates only 3.46B, or 4.4%, per token. It accepts up to 1,048,576 tokens of context, lets users set reasoning effort per request, and ships under the Apache 2.0 license on Hugging Face. The target is sovereign deployment in regulated sectors such as public administration, industry and aerospace. Is it deployable? Yes. The FP8 checkpo

What are Decision AI Models? Decision AI models are a new class of model that returns a decision, not a paragraph. You send text with typed questions. The model returns choices, scores or yes/no probabilities your code can branch on directly. The category went mainstream when TypeSafe AI launched Jev after 2 years in stealth. TypeSafe calls it a ‘System One model,’ after Daniel Kahneman’s fast, intuitive System 1 thinking. Within 3 weeks, Fastino Labs shipped 2 rival
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