
The New York Times, joined by the Chicago Tribune, Orlando Sentinel, and New York Daily News, has filed a lawsuit against Brave Software for alleged copyright infringement. The complaint claims Brave scraped publisher content without permission to build its web index and sold access to AI companies including Anthropic, Perplexity, Mistral, xAI, and Cohere. Additionally, the suit alleges Brave facilitates paywall bypasses for users. Brave has not commented, while Perplexity dismissed the suit as disinformation. This legal action targets the data supply chain of generative AI development.
Read originalTopicAnthropic Pentagon Legal Dispute
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NYT sues Brave for AI scraping and paywall bypass
2 developments
© The Verge AIAnthropic has tightened Claude Code’s system prompt to explicitly forbid recreating specific existing video games, targeting the surge in AI-generated decompilations and ports. The update on Opus 5.5 draws a hard line against IP infringement while preserving the ability to build original titles or genre-inspired projects from scratch. This marks a significant shift in how coding assistants handle intellectual property boundaries, moving from passive compliance to active prevention of direct clones. Developers can now expect stricter refusals when attempting to replicate protected game mechanics or assets.
© The Verge AIOpenAI is flipping the script on the growing backlash against AI infrastructure by launching a pilot in Georgia where its data center acts as a backup power source for up to 700,000 homes during emergencies. This 'Grid Protectors Program' reframes massive energy consumers as critical grid stabilizers, directly addressing local opposition fueled by skyrocketing electricity demands and environmental concerns. By offering flexibility to reduce demand during peak strain while providing steady baseline load, OpenAI aims to turn a liability into a community asset. It is a strategic PR move that acknowledges the physical reality of AI's energy hunger without solving the underlying resource scarcity.
© The Verge AIMeta’s Muse Charm isn’t a finished product; it’s an invitation to hack. A non-coder used Claude Code to transform a $50 Waveshare ESP32-S3 dev board into a fully functional AI companion, adding ElevenLabs voice synthesis, custom Tamagotchi-style minigames, and remote camera controls that Meta’s official firmware lacks. This reveals a critical truth: the value of Meta’s new hardware ecosystem lies not in its out-of-the-box utility, but in its open-source API allowing anyone to rewrite the experience. The gap between Meta’s polished demo and the actual user reality is bridged entirely by third-party AI coding tools.
© TechCrunch AIApple is quietly pivoting to monetize the AI wave through its App Store, signaling that third-party AI agents could become a new revenue stream. This shift addresses regulatory headwinds and an 18% drop in U.S. commission revenue by potentially taking a cut of AI agent transactions. While details remain vague, the move suggests Apple sees AI as a key driver for upgrades and subscription growth. It marks a strategic adaptation to maintain services dominance amid global legal pressures.
© TechCrunch AITrajectory’s $45 million Series A signals a pivot toward making post-training accessible to non-technical experts. By automating continual learning, the startup lets domain specialists like lawyers and doctors refine open-source models through feedback loops without hiring expensive research teams. This approach bridges the gap between foundational models and specialized industry needs, potentially lowering the barrier for enterprise AI adoption. With backing from Sequoia and Nvidia, Trajectory is positioning itself as a critical infrastructure layer for vertical-specific AI applications.
© TechCrunch AIAnthropic’s revised S-1 filing drops a sobering admission: the company believes it is imminently close to Recursive Self-Improvement (RSI). This isn't just theoretical speculation; they explicitly state that AI-driven R&D may have already caused capability leaps they didn't initially recognize. While no current model has crossed the threshold, the warning signals a critical inflection point where automated progress might outpace human safety validation. It forces the industry to confront whether human-in-the-loop oversight can survive the acceleration it helped create.