Anthropic's copyright settlement approved, Google's Gemini chip

A federal judge granted final approval to Anthropic's $1.5 billion settlement with authors who said the company trained Claude on pirated books — the largest payout in the history of US copyright law. The deal pays roughly $3,000 per work across an estimated 500,000 titles, plus more than $101 million in plaintiffs' legal fees. Because Anthropic settled rather than appeal, the earlier fair-use ruling stays a single district-court decision and never becomes binding precedent for the rest of the industry.

Google is developing a server chip, internally dubbed Frozen v2, that hardwires parts of Gemini's architecture directly into silicon, The Information reported. The design could deliver six to ten times more tokens per unit of power than Google's current AI chips, easing the compute shortages that have limited Google Cloud. It is targeted for 2028 and meant to complement, not replace, Google's existing tensor processing units — another step in the industry's push to cut its reliance on Nvidia.

Chris Fall has resigned as director of the Center for AI Standards and Innovation (CAISI), the US Commerce Department body that sets federal AI testing and safety standards, just three months after his April appointment. No reason was given. The agency has now churned through three leaders in 2026; Arvind Raman of the National Institute of Standards and Technology will serve as acting director while Commerce searches for a permanent replacement. The turnover leaves the government's main AI-standards effort without settled leadership.

In this week's Stratechery, Ben Thompson argues that Western alarm over cheap Chinese open-weight models — Moonshot's Kimi K3 and Alibaba's forthcoming Qwen3.8 Max — misreads the economics. What matters, he writes, is not the sticker price per token but the total cost of a correct answer, since different models burn very different token volumes to solve the same problem. As intelligence becomes a commodity, he contends, US frontier labs with better cost structures still win — and he urges loosening rules that push American security teams toward Chinese models.

China's Moonshot AI released Kimi Work, a downloadable desktop agent for Windows and Mac that reads local files, automates a browser, runs scheduled tasks around the clock, and coordinates a swarm of specialized sub-agents to build slide decks and spreadsheets. It ships with built-in global market data and can run Python and shell scripts. The launch pushes Moonshot beyond its chatbot roots into the same agentic-desktop territory as OpenAI and Anthropic's newest cowork products.

Alibaba's Qwen team unveiled Qwen-Image-3.0, a text-to-image model built to render dense, information-heavy pictures — newspaper pages, multi-panel infographics, even math-filled academic papers — from prompts up to 4,500 tokens, with native text in twelve languages. Notably, the release carried no benchmarks, no parameter count, no license, and no downloadable weights, a sharp break from the open, Apache-licensed launches of Qwen-Image 1.0 and 2.0. It is an early sign that even China's most open lab may be closing up its flagship image model.

Construction-robotics startup Gritt left stealth with $34 million in total funding, including a $26 million Series A led by Obvious Ventures. Its AI controls off-the-shelf robotic arms and skidders to unload, carry, and place solar panels with sub-millimeter precision. An eight-person crew using the systems installs 3,000 to 4,000 panels a day versus about 800 by hand, and Gritt has contracts to help deploy 2.8 gigawatts of solar over eighteen months. The founders say the robots also cut worker injuries on hazardous outdoor sites.