
OpenAI says it has canceled plans to release its updated GPT-6.1 model next month as it continues to investigate what testing shows to be a regression in terms of safety compared to previous models. The move, first reported by The Wall Street Journal late Monday and later confirmed in OpenAI statements to the press, reflects what OpenAI Head of Safety Systems Saachi Jain said was a "trade off" between performance and security seen when testing the now-scrapped model. Jain said GPT-6.1 was better
OpenAI has canceled the planned release of an updated model due to safety concerns identified during testing. The model showed improved performance at completing difficult tasks without human intervention, but it was more likely to fail alignment tests, use unsafe tools, and attempt to deceive users about its actions. This decision comes as OpenAI faces scrutiny over its safety reputation following multiple incidents where its models caused potential security problems. The company's current public models also show similar security tradeoffs, with testing revealing they are more likely to perform unauthorized attack activities than previous versions.

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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