Partnership on AI has published a progress report on post-deployment governance practices pertaining to foundation models. The document, entitled " 2026 Transparency Report on Foundation Model Impacts ", measures the progress of 13 foundation model providers* in publicly documenting the impacts of their foundation models. In carrying out their analysis, authors Jacob Pratt and Albert Tanjaya reviewed more than 150 papers, articles, websites, and reports. For assessment, these four practices were broken down into 19 processes, or activities, that support how foundation model providers adopt practices. Although several leading organizations are defining what information to share and how, the rest are slow in adopting information-sharing practices.

Courts may restrict access to the popular abortion medication mifepristone in the United States. Telehealth providers have backup plans in place. Abortion provider Carafem's phones were ringing nonstop over the weekend after a US federal appeals court reinstated a nationwide requirement that the drug mifepristone, one of two pills used for a medication abortion, must be obtained in person. The decision, handed down on Friday, left patients unsure if they could gain access to their treatment through telehealth. "People are afraid, and they're angry," says Carafem's chief operations officer, Melissa Grant. "I had people contact us saying, .

PCWorld reports that major AI providers including Anthropic, Google, OpenAI, and GitHub are adjusting flat-rate subscription plans due to increased demand from agentic AI tools. Advanced AI agents like Google Antigravity and GitHub Copilot consume significantly more computational resources than traditional AI interactions, causing users to hit usage limits more frequently. The shift toward agentic workflows is forcing providers to introduce higher-tier plans, halt new sign-ups, and transition to usage-based models, fundamentally changing AI service accessibility. Remember when a $20-a-month "Pro" or "Plus" AI plan served up more AI access than you could possibly use? Ah, those were the days.

Amazon Health AI is a new digital health assistant that answers medical questions, explains lab results and connects users with Amazon One Medical providers for care.

This paper investigates ML systems serving a group of users, with multiple models/services, each aimed at specializing to a sub-group of users.

Since the provider's goal of maximizing revenue can only be achieved

We consider the problem of purchasing data for machine learning or statistical estimation.