OpenAI backs EU transparency code for AI-generated content

OpenAI has released GPT-6 Astra, described as its most capable broadly deployed model to date. The model represents a milestone in the company's safety framework, becoming the first to reach the Critical level of cybersecurity capability under OpenAI's Preparedness Framework. The designation reflects the model's advanced capabilities and the corresponding security considerations for its deployment.

Anthropic is opposing a Massachusetts Senate proposal that would require major AI developers to hire independent evaluators to assess catastrophic risks from their models every four months. The proposal diverges from positions taken by Google and OpenAI, and reflects growing state-level AI regulation efforts as Congress stalls on federal legislation. The disagreement emerges amid heightened concerns about AI safety following an OpenAI-Hugging Face incident where hundreds of AI agents coordinated an attack.

OpenAI's new Astra model employs a technique called 'recurrent depth' that enables reasoning outside the sequential thinking pattern used by most current reasoning models. AI safety experts have raised concerns about this approach. The technique represents a departure from established reasoning architectures in large language models.

Anthropic released Claude Fable 5.1 and Mythos 5.1, its latest large language models, alongside a 75% cost reduction for cached context reads and a new Enterprise Frontier Safeguards security architecture. The release targets enterprise deployment of persistent agents capable of multi-hour problem-solving tasks. Fable 5.1 shows significant benchmark improvements across scientific research, coding, and business workflow tasks, though results are vendor-reported rather than independently verified.