Sitemap Index.xml

• Taylor Swift is stepping up the legal war on AI copycats

  Taylor Swift has been at the center of AI imitation controversies for years, and now, she's become the latest celebrity who's escalating attempts to protect herself from AI copycats. As usual, however, the legal system intersects with technology in complicated ways - and Swift's efforts may be a long shot. In trademark applications filed last week, Swift's team asked for protection for two phrases spoken by the singer: Hey, it's Taylor Swift and Hey, it's Taylor. The trademark applications, filed by TAS Rights Management on behalf of Swift, include audio clips of Swift saying the two phrases as part of a promotion for her latest album. "Hey … Read the full story at The Verge.

• GitHub Copilot switches to token-based billing in June 2026 - the-decoder.com

  GitHub Copilot switches to token-based billing in June 2026 the-decoder.com

• Oracle Stock Drops on OpenAI Shock. CoreWeave, SoftBank Also Hit. - Barron's

  Oracle Stock Drops on OpenAI Shock. CoreWeave, SoftBank Also Hit. Barron's

• OpenAI falls short of revenue and user targets as it races toward IPO, WSJ reports - Yahoo Finance UK

  OpenAI falls short of revenue and user targets as it races toward IPO, WSJ reports Yahoo Finance UK

• NASA’s X-59 Gets Freedom 250 Logo

  NASA’s X-59 is helping the nation celebrate the 250th anniversary of its independence with an update to its livery – its official paint job and insignia. The one-of-a-kind research aircraft is the centerpiece of NASA’s Quesst mission to demonstrate technology to fly supersonic, or faster than the speed of sound, without generating loud sonic booms. […]

• Agents CLI in Agent Platform: create to production in one CLI

  Google Cloud has introduced the Agents CLI, a specialized tool designed to bridge the gap between local development and production-grade AI agent deployment. The CLI provides coding assistants with machine-readable access to the full Google Cloud stack, reducing context overload and token waste during the scaffolding process. By streamlining evaluation, infrastructure provisioning, and deployment into a single programmatic backbone, the tool enables developers to move from initial concept to a live service in hours rather than weeks.

• Visual Studio Code 1.117

  Learn what's new in Visual Studio Code 1.117 (Insiders) Read the full article

• Plan mode is now available in Gemini CLI

  Gemini CLI now features Plan Mode, a read-only environment that allows the AI to analyze complex codebases and map out architectural changes without the risk of accidental execution. By leveraging the new ask_user tool and expanded Model Context Protocol (MCP) support, developers can collaboratively refine strategies and pull in external data before committing to implementation.

• Announcing the Colab MCP Server: Connect Any AI Agent to Google Colab

  When you’re prototyping locally with AI agents like Gemini CLI, Claude Code, or your own agent, thei...

• Developer’s Guide to AI Agent Protocols

  This blog post introduces a suite of six protocols, such as MCP and A2A, designed to eliminate custom integration code by standardizing how AI agents access data and communicate. Using a "kitchen manager" agent as a practical example, it demonstrates how these tools handle complex tasks like real-time inventory checks, wholesale commerce via UCP, and secure payment authorization through AP2. By leveraging the Agent Development Kit (ADK), developers can also implement A2UI and AG-UI to deliver interactive dashboards and seamless streaming interfaces to users.

• Build a smart financial assistant with LlamaParse and Gemini 3.1

  This blog post introduces a workflow for extracting high-quality data from complex, unstructured documents by combining LlamaParse with Gemini 3.1 models. It demonstrates an event-driven architecture that uses Gemini 3.1 Pro for agentic parsing of dense financial tables and Gemini 3.1 Flash for cost-effective summarization. By following the provided tutorial, developers can build a personal finance assistant capable of transforming messy brokerage statements into structured, human-readable insights.

• Jump to play: Building with Gemini & MediaPipe

  The provided workflow streamlines motion-controlled game development by using Gemini Canvas to rapidly prototype mechanics like the MediaPipe Pose Landmarker through high-level prompting. Developers can refine these prototypes in Google AI Studio by optimizing for low-latency "lite" models and stable tracking points, such as shoulder landmarks, to ensure responsive gameplay. The process concludes by using Gemini Code Assist to refactor experimental code into a modular, production-ready application capable of supporting various multimodal inputs.

• Closing the knowledge gap with agent skills

  To bridge the gap between static model knowledge and rapidly evolving software practices, Google DeepMind developed a "Gemini API developer skill" that provides agents with live documentation and SDK guidance. Evaluation results show a massive performance boost, with the gemini-3.1-pro-preview model jumping from a 28.2% to a 96.6% success rate when equipped with the skill. This lightweight approach demonstrates how giving models strong reasoning capabilities and access to a "source of truth" can effectively eliminate outdated coding patterns.

• 7 ways to travel smarter this summer, with help from Google

  The latest tools from Google can help you plan trips, find a great deal and explore your next destination.