AI Briefing#transparency
The latest AI and developer news about #transparency, with the original source and a short summary.
The latest AI and developer news about #transparency, with the original source and a short summary.
Internal instructions show Muse updates hourly dossiers on users and their contacts, inferring unspoken goals and behavioral triggers.
OpenAI has released new mathematical results from an internal frontier model, including Lean formalizations and compute estimates averaging three hours of ChatGPT Pro usage.
Researchers developed a method to estimate and rank the energy consumption of proprietary AI models from Anthropic, OpenAI, and Google, which do not publicly disclose this data.
Qwen has released Qwen-Image-2.1, an open-source image model with 7 billion parameters that integrates generation and editing.
Anthropic has released metrics on AI's contribution to R&D and oversight.
OpenAI has introduced a new framework for tracking and disclosing model misalignment, releasing six recent instances of anomalous behavior.
The mathematics community has raised demands for transparency regarding missing citations in OpenAI's mathematical achievements announcement and whether ChatGPT conversation data was included in training data.
In compliance with EU AI Act obligations, the scale of training data for Gemini 3 and Gemma 4 has been disclosed, but specific dataset names and sources are not included.
As the transparency provisions of the EU AI Act take effect, labeling obligations for AI-generated content are strengthened.
A popular Claude SEO tool has been automatically adding promotional footers to monitoring results without user consent.
The Singapore government is discussing the introduction of a 'nutrition label'-style information notation to enhance transparency for AI products.
Former OpenAI employees warned SpaceX investors about xAI's lack of safety culture and transparency.
Big Tech lobbying got the EU to keep data center environmental information confidential.
AI21 Labs recorded the highest score among commercial LLMs in Stanford University's Foundation Model Transparency Index (FMTI).
A flood of AI-generated PRs is causing maintainers to start closing their doors.
Anthropic agreed on the need for stronger transparency and effective regulation for AI safety and security.
Anthropic plans to sign the EU's General-Purpose AI Code of Practice to ensure transparency and safety.
Hugging Face submitted a response to the US NTIA's request for comments on AI accountability, emphasizing transparency and multidisciplinary engagement.
AI21 used MRKL-based Jurassic-X to compensate for language model limitations with external knowledge and computation.
Kakao introduced the JIRA-based 'OpenWork' to foster trust and transparency, conducting customized coaching for over 40 teams since September 2020.