
Meet GPT-6.1 Sol: near-Astra intelligence for coding, computer use, and professional work at one-fifth of Astra’s standard API input and output token prices.
GPT-6.1 Sol is an upgraded AI model that approaches the capabilities of a more advanced model called GPT-6 Astra while costing approximately one-fifth as much. The upgrade matters because it delivers substantial improvements over its predecessor across coding, professional document analysis, computer use tasks, and scientific research while maintaining lower costs, particularly through reduced pricing for cached input tokens. GPT-6.1 Sol also shows improved factual accuracy and safety alignment compared to the earlier version. The model is available to users through various platforms and pricing tiers, with standard API pricing set at specific rates per million tokens.

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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