
The AI Superintelligence Slowdown
The Verge’s living brief tracks whether Anthropic, OpenAI, Google, Microsoft, and xAI’s post-summer “pace the frontier” talk becomes real slowdown—or regulatory theater next to China-race acceleration.
Desk
Google, DeepMind, and Gemini developments.

The Verge’s living brief tracks whether Anthropic, OpenAI, Google, Microsoft, and xAI’s post-summer “pace the frontier” talk becomes real slowdown—or regulatory theater next to China-race acceleration.

Google, Nvidia, and Anthropic are backing Emerald AI’s demand-response coalition—betting paused jobs and shifted loads can unlock far more data-center megawatts without waiting on new plants.

Snap's Specs Intelligence pitches anticipatory help across glasses, iOS, and Mac—useful if it earns the Gmail and Slack keys it wants, unnerving if it only feels like another inbox watcher.

Google opened early access to a Home MCP server so Claude, ChatGPT, and other agents can control Nest gear and Matter devices—with Cloud project setup and explicit permissions.

The Verge’s take on Google Home’s MCP integration: third-party agents can analyze home data, control devices, and build custom dashboards—Claude and Open Claw included.

The Verge casts Anthropic’s new Docs and Slides as a straight shot at Gemini’s workspace lane—create, edit, export, and share docs and decks from Claude chats.

Emerald AI, Google, and NVIDIA launched the AI Energy Management Alliance to push data centers that flex electricity use with the grid—not just demand flat megawatts.

The Verge’s Sean Hollister catalogs years of AI CEOs asking for guardrails—and how little binding law followed—while today’s panic finally tests whether the rhetoric was ever serious.

DeepMind launched Gemini 3.8 Live and Live Extended Thinking—voice models that keep talking while running parallel reasoning, tools, and real-time visual context in the background.

Google’s hub post gathers AI-for-good threads—science, language, economy ATLAS, wildfire spotting—framing a decade of research as measurable societal deployment, not demos.

James Manyika says Google tech now supports 300+ languages covering ~86% of people, pairs that with AI & Economy ATLAS insights, and surveys health, disaster, learning, and work applications.

Manyika’s language essay: Google moves past plain translation toward models that catch tone, slang, and living speech—with community partnerships and offline-aware design for the long tail.