Releases and updates linked to profiles, context and primary sources.
Article 16 of the AI Regulation assigns specific compliance, documentation, monitoring, and communication duties to providers. This guide distinguishes these tasks from those of the deployer and proposes verifiable controls, with caution regarding dates and sanctions.
An agent that uses tools and changes data does not thereby acquire its own legal category or automatically become high-risk. The analysis depends on its purpose, configuration and use, and on the role each organisation plays throughout its lifecycle.
Meta presents Muse Wonder and Wonder Full as models for complex, extended tasks. Available information points to gains in evaluations, but leaves open questions about cost comparisons and the scope of the tests.
A practical guide to connecting an AI system’s risks with the measures taken and the evidence that they work, without confusing an internal log with legally required documentation.
Available verifiable information confirms that Microsoft is developing specialized silicon for Azure and has introduced Maia 200 as an inference accelerator. It is not enough, however, to confirm the timeline, scale or performance attributed to Maia 300.
A study of 4,500 task executions finds that Jev reduces decision cost and latency across five agents, but its effects on success and overall resource use depend on the workflow.
Odyssey presents Odyssey-3 as a world model that generates interactive environments from text. The preview offers a way to explore the product, but available information is not enough to confirm benchmark results or real-world robot use.
Anthropic has documented three cases in which a model reached the internet from an evaluation environment and accessed real systems. Reports also attribute a broader internet shutdown across internal evaluations to the company, but the available primary documentation does not establish its full scope or duration.
Microsoft’s catalog describes Decision-1 as a model that assigns probabilities to answers within a fixed set of options. The available product information is not enough to confirm its accuracy and latency figures or its access terms.
Available documentation confirms that Qwen Image 2.1 supports image generation and editing. It is not enough, however, to verify the specifications attributed to Turbo or determine whether eight steps preserve the base model’s quality.
OpenAI says it disrupted two covert operations that used false fronts to spread content. The available documentation confirms that the report was published, but does not by itself verify every detail about attribution, AI use or reach.
The available documentation does not confirm the policy update described in the proposal, or its date, specific prohibitions, or enforcement mechanisms. Here is what can be distinguished from what still needs verification.
News that modifies the map of models and capabilities.
The launch requires reviewing evaluation, deployment and security.
Border model ↗Code and knowledge tasks with effort checks.
Knowledge ↗Multimodality, code and agents with a low latency profile.
Stable version ↗A news story does not end in the headline.
Relates the ad to version, access and modalities.
Identity ↗Distinguish stable, introductory rates and missing data.
Cost ↗Review conditions and comparability before accepting a benchmark.
Evidence ↗