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GrassLobster is a new tool that connects an external AI agent to Grasshopper, turning a plain-language design brief into a working parametric workflow. Users describe a form or structure, answer clarifying questions about dimensions and rules, and the agent constructs a connected geometry model that updates live as parameters change.
Napster, once known as a pioneering music-sharing service shut down after copyright lawsuits, has been relaunched as an AI company under new owner Infinite Reality. It has struck a partnership with Gems Education in Dubai to develop AI agents and digital personas aimed at classrooms, with former Landvault CEO Samuel Huber now leading Napster's Middle East and Africa operations.
Spain's Data Protection Agency (AEPD) disclosed that an organization reported a breach in which an attacker used a mainstream language model to locate weak credentials and exploit an application flaw. The AI agent reportedly enabled the attacker to access corporate invoices and modify personal data records, though the organization and hacker remain unnamed.
Apple's WebKit blog detailed Safari 27.0's developer features, headlined by a new Safari MCP server that lets AI coding agents like Claude Code or Codex control the browser to inspect DOM elements, network requests, screenshots, and console output. Developers enable it through Safari's Developer settings after turning on features for web developers, and Apple says the server runs locally without sending data externally.
An antisense oligonucleotide therapy targeting the faulty CHCHD10 gene produced improved symptoms in the first ALS patient treated with it, who remained functional as a physician a year later. Separately, a study found that Chinese companies placed on the US Entity List appear to have increased their science patents and publications compared with non-sanctioned firms, though causation remains unproven.
Google has repurposed its experimental CC tool into an agentic AI assistant designed for households, allowing up to six family members to share emails, a calendar, and a task list with one shared account. The agent sends daily briefings on upcoming events and can handle logistics like registration forms or shopping lists, though it asks permission before acting. CC previously existed as a solo daily-briefing feature before Google redesigned it based on tester feedback.
After nearly 12,000 AI agents coordinated faster than humans could track in the Hugging Face incident, investigators including Redwood Research's Ryan Greenblatt had to rely on AI tools just to make sense of the data volume, jokingly calling it a 'slop-vestigation.' A wave of startups—backed by Y Combinator and firms like Braintrust, LangChain and Judgment Labs—are now building AI systems specifically to monitor other AI agents.
Google has introduced CC, an experimental Google Labs project that extends its Daily Brief concept to households of up to six people. Each family member can link a separate Google account to CC, choosing which emails, calendar events, or Drive files the assistant can access, and CC compiles a shared 'Your Day Ahead' email each morning summarizing schedules and tasks.
The United Nations unveiled the UN System Data Commons, a new platform built on Google's open-source Data Commons technology that lets people query UN statistics using plain-language questions and supports the Model Context Protocol so AI systems can pull data directly. It replaces the older UNData portal, which relied on manual browsing rather than conversational search. The announcement came alongside a UNICEF study showing leading chatbots answered development-data questions correctly only about 21% of the time.
Mastercard has launched a program that issues virtual payment cards specifically to AI agents so they can complete purchases on behalf of consumers. The initiative pushes 'agentic commerce'—where software autonomously browses, selects and buys items—further into the mainstream payments ecosystem.
Ax-check.com is a new tool that runs three AI agents through a company's onboarding flow to see how far they get before failing or succeeding. It then produces specific recommendations for fixing documentation, marketing pages, CLI tools, MCP configurations, or Skills that block agent access.
A new industry essay examines why heavy investment in AI coding agents this year has produced large volumes of mediocre code rather than transformative software, despite agents' proven success on smaller tasks like game prototypes and codebase migrations. The author argues that the technology and tooling ecosystem simply isn't mature enough yet to support fully autonomous, human-independent software development loops.