1. Medicare just built the first billing channel for AI agents that work between doctor visits Until last week, no part of the U.S. government could pay a software agent for the work between doctor visits.

2. Developers say AI is rotting their brains, the same week OpenAI showcased Codex case studies OpenAI this week published two customer stories celebrating how engineering teams ship faster with Codex. NVIDIA researchers, per the writeup, use Codex with GPT-5.

3. Tool calling shrinks to 26M parameters as two papers attack agent memory Cactus Compute released Needle this week, a 26-million-parameter model distilled from Gemini specifically for tool calling. The GitHub repository drew 630 points on Hacker News with 181 comments.

In Brief

• Anthropic passes OpenAI in paid business customers Ramp's expense data from its client base shows 34.4% of surveyed businesses now pay for Anthropic services, against 32.3% for OpenAI. Ramp's sample skews to startups and mid-market firms, so the gap reflects buying patterns outside the Fortune 500.

• xAI's Mississippi data center sued over 50 unpermitted gas turbines A lawsuit targets xAI's Colossus 2 site for running roughly 50 "mobile" gas turbines as a primary power plant without the air permits required for stationary generation. The case tests whether AI operators can use mobile-classification loopholes to bring data centers online ahead of grid hookups.

• Anthropic launches a small-business tier aimed at 36 million U.S. firms Anthropic released an offering pitched at owners of small companies rather than enterprise buyers or developers. It's the first time a major lab has built distribution specifically for the SMB segment, where OpenAI and Google have so far relied on generic consumer or enterprise plans.

• Notion opens its workspace to third-party AI agents A new developer platform lets teams wire external agents, data sources, and custom code directly into Notion pages and databases. The product positions Notion as a host surface for agents rather than a destination app, competing with Slack and Microsoft 365 for that role.

• Amazon puts Alexa+ in the search bar Alexa for Shopping replaces the keyword search box on Amazon mobile, desktop, and Echo Show with a voice and chat agent that can compare items and place orders across Amazon and third-party retailers. The change exposes Alexa+ to every Amazon shopper without a separate download.

• Microsoft Edge Copilot reads across every open tab A new Edge update lets Copilot pull and compare content from all tabs in a session, including product pages and articles, when answering a query. Users grant access at conversation start; Microsoft has not detailed what tab content is sent to its servers or retained.

• Meta ships Incognito Chat for AI without server logs Zuckerberg announced a Meta AI mode that does not save conversations to servers or user history. Meta frames it as the first major AI product with no stored logs, though the company has not published a technical attestation or third-party audit of the claim.

• Google AI hands out real personal phone numbers in chat answers Users report that Google's AI surfaces their direct phone numbers and contact info when other users ask unrelated questions, with no documented removal process. One affected person says he has spent a month fielding misdirected calls intended for lawyers and designers.

• Origin Lab raises $8M to broker game data for world models The startup runs a marketplace where video game studios license gameplay data to AI labs building world models. It targets a supply gap as video pretraining hits a ceiling on public web footage and labs look for licensed physics-grounded data.

• DeepMind proposes redesigning the mouse pointer for AI use A DeepMind post argues the cursor should carry intent and context so agents can act with users rather than after them, sketching an interaction model where pointer state becomes a shared signal between human and assistant. The piece is design research, not a shipping product.

• World Action Models paper proposes pairing VLAs with environment predictors Researchers outline World Action Models, embodied foundation models that combine vision-language-action policies with explicit predictors of how the environment changes under each action. The framing targets a known weakness in current robotics policies, which map observations to actions reactively without forward simulation.

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