What happens when AI connects an entire global organization? 🌏 Padma Chukka, SVP of Strategic Partnerships at Arrive, explains how they used the Gemini Enterprise Agent Platform to build "Aria," shrinking RFP times from a week to just 4–6 hours. Watch how they made it happen →

When millions of AI agents interact with each other, new collective behaviors can emerge. 🌐 Together with @schmidtsciences, @coop_ai, @ARIA_research and supported by @GoogleOrg, we’re launching a $10M research fund to help understand how AI systems behave as a group. →

From vibe code to production-grade AI agents. Join us on 9/23 for What's New Wednesdays to learn how to trace agent behavior, eliminate blind spots, and leverage CoreWeave ARIA to turn observability data into reliable workflows. Register here:

🇦🇺 Australia is officially kicking fully AI-made songs off its music charts. Starting this week, songs made entirely by AI won’t be allowed on the ARIA Charts, which track the country’s most popular music. Artists can still use AI as a tool, but the song itself needs to be mostly made by humans. The change comes after DJ Josh Fawaz’s cover of Madonna’s “Like a Prayer” blew up Down Under. It became the most-played song on local radio and hit No. 4 on two ARIA charts, while some producers accused him of using AI without disclosing it. Fawaz later admitted using AI “as a tool” and said his focus was simply making good music. AI can help, it just can’t do the whole job. Source: Reuters / Writer: Daniyal

The window for a global AI slowdown is, in game theoretic terms, already closed. This AI on Air clip is excerpted from a recent episode on the Cognitive Revolution Podcast show, with source credit to The Cognitive Revolution @CogRev_Podcast; the speaker is David Dalrymple @davidad, Programme Director at @ARIA_research. ▷ His 2022 to 2025 premise was to develop a method for using AI safely, then rely on international coordination so every actor with dangerous compute would follow it; he now sees that as infeasible because the reported Chinese effort to break the ASML bottleneck, covered by Reuters in late 2025, is credible enough to destroy the logic of everyone slowing down together. ▷ The strongest safety case is simple: do not build it. Coordination would be easy if catastrophic risk were common knowledge at 50% or more, but perceived risk has fallen since 2024, racing has become a dominant strategy for many companies and governments, and only a large warning shot truly different from misuse might reverse that. ▷ He still sees room for coordination on misuse: the US and China could agree not to release high capability models to the public, limiting them to vetted organizations; both sides could keep racing economically and militarily, while the goal shifts to riding a faster, stranger wave with possible rogue AI and gaining resilience dividends against catastrophic risk.

# Cursor Features and Practical Usage 🌐 "Just look at the screen and fix it" is now something the AI agent can literally do. Cursor's Browser tool hands the agent control of a browser, covering everything from E2E testing to design-to-code in one loop. 🏷️ Title: Browser Tool 🔗 URL: 📘 Overview The Browser tool lets Cursor's agent directly drive a browser inside the IDE. It can navigate to URLs, click, fill forms, capture screenshots, and inspect console logs and network traffic on its own. The key benefit is closing the loop between visual verification and code changes within a single agent run. ⚙️ How It Works The browser runs as a secure web view controlled via an MCP server extension, and the agent can: ・Navigate: visit URLs, follow links, move through history, reload pages ・Interact: click, double-click, right-click, hover, fill and submit forms ・Inspect visually: capture screenshots as images to verify layout and UI ・Debug: read JavaScript console logs and errors, plus network traffic Logs are written to files and the agent selectively reads only the relevant lines, so it handles huge outputs efficiently. Automatic dev-server detection prevents starting duplicate servers. Authentication cookies, localStorage, sessionStorage, and IndexedDB persist across sessions in the same workspace, so login state survives between verification runs. 🛠️ Practical Usage The design sidebar lets you design and code at the same time. You can visually adjust element positioning, flex direction, alignment, grid layouts, width/height/padding/margin, colors, gradients, shadows, opacity, and border radius with sliders. When the look matches your vision, click `Apply` and an agent translates the visual changes into appropriate code. You can also select multiple elements and apply changes together via hot-reload. Execution safety is governed by approval modes: `Manual approval` (recommended), `Allow-listed actions`, and `Auto-run`. 💡 Use Cases ・E2E testing: fill forms with test data, validate error messages, capture screenshots for visual regression ・Design-to-code: import Figma mockups and convert to pixel-perfect HTML/CSS ・Accessibility audits: check contrast ratios, semantic HTML, ARIA labels, and keyboard navigation against WCAG ⚠️ Caveats The origin allowlist provides best-effort protection only. Link navigation and client-side redirects from allowed domains may still reach non-allowed origins, and manual user navigation bypasses the allowlist entirely. Avoid `Auto-run` with untrusted code, and review allowlist configurations regularly. #Cursor# #AICoding#