THE BACK ISSUES
Every edition, newest first. Looking for something? Search every edition →
Google said it is using open foundation models such as MedGemma to support tuberculosis screening, while partners in Indonesia and elsewhere adapt the tools for local health systems.
METR and Redwood Research said they spent three weeks testing OpenAI’s internal misalignment monitoring system with deep access to code, prompts and documentation, and found vulnerabilities in the historical system they assessed.
Google Cloud said it is adding OpenAI models to its model garden and will later make them available in Gemini for business and Google Antigravity, giving enterprise customers more model choices in one platform.
Google Cloud said it is previewing Gemini for government services, a package built around government work, agency system connections and governed deployment across public agencies.
Microsoft says security systems should move from observing agent actions to examining why those actions occur, using greater model transparency to support continuous monitoring and containment.
Researchers tested six language models with six prompting interventions and found that explicit no-think controls did not reliably stop visible inference, especially on open-ended tasks.
Google is pitching wet-lab AI agents around a three-cycle aptamer sandbox while its own post says models need real experimental readouts, a sign the platform story outruns the proof.
Google Research said it is bringing AI agents into wet labs, using physical lab robotics and closed-loop molecular design cycles to pursue protein binders for cancer targets.
Meta released Muse Spark Open, an open-weight mixture-of-experts model that handles text, images, audio and video and generates text from those inputs.
Android introduces Enhanced protection mode in Google Messages with Scam Detection powered by Private AI Compute and Gemini models, combining on-device checks with cloud analysis to identify scams in conversations and via links.