OpenAI’s new security model is for ‘critical cyber defenders’ only
… The White House has taken a keen interest in Mythos’ rollout, despite lingering tensions with Anthropic after its fight with the Pentagon. …
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Anthropic’s Mythos rollout has missed America’s cybersecurity agency
…Anthropic is giving restricted access to the tool to give key institutions a “head start” on cyber defenses, Anthropic’s frontier red team cyber lead Newton Cheng told The Verge. But it…
Anthropic’s Mythos breach was humiliating
Anthropic’s tightly controlled rollout of Claude Mythos has taken an awkward turn. …
Workers around the world are not getting what they want from AI
… Togo’s Novissi program offers a useful reference point: Its rapid rollout of digital cash transfers during the pandemic showed what is possible when governments invest in delivery infrastructure early, and how much still depends on local intermediaries to reach people the systems weren’t originally… …
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Teams is getting a major improvement for Office files
… The global rollout for this feature should be complete by the end of next month, if things go well. …
Android 17 to expand banking scam call and privacy protections
… The initial rollout will cover the massively popular digital banking and payments app Revolut, the large Brazilian retail and commercial bank Itaú Unibanco, and the Latin American digital bank Nubank. …
Google’s New Pixel Feature Detects AI-Powered Scam Calls In Real Time
… Initial rollout targets Android 12 and newer devices utilizing the Phone by Google app, beginning with the Pixel ecosystem before scaling to a broader global distribution. …
How to Post-Train Autonomous Vehicle Models in Closed-Loop with NVIDIA Alpamayo | NVIDIA Technical Blog
… Useful training signals include mean reward, reward variance, failure rates, policy loss, rollout throughput, and the gap between generated rollouts and the latest policy weights. In this recipe, these rollout artifacts and training signals are the primary outputs of the post-training run. …
Paper page - The Flip Side of RLHF: On-Policy Feedback for Reward Model Self-Supervised Improvement
… The following papers were recommended by the Semantic Scholar API General Preference Reinforcement Learning 2026 RUBRIC-ARROW: Alternating Pointwise Rubric Reward Modeling for LLM Post-training in Non-verifiable Domains 2026 Explaining and Preventing Alignment Collapse in Iterative RLHF 2026 Wasser… …
Claude for Financial Services
… With the incorporation of Claude's advanced capabilities into our underwriting process, we have been able to compress the timeline to review business by more than 5x in our early rollouts while simultaneously improving our data accuracy from 75% to over 90%. …