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Google search chief Liz Reid says AI-generated answers are not lowering website traffic. In a blog post, she writes that organic clicks have stayed "relatively stable" over the past year and that Google is now sending "slightly more quality clicks"—meaning users stay on a site instead of quickly returning. Reid argues that AI helps improve questions and results.

"The web has existed for over three decades, and we believe we’re entering its most exciting era yet."

Liz Reid

Her claims conflict with outside reports showing major traffic drops tied to AI answers in search results. Reid rejects those findings, saying they rely on flawed methods, older data, or single examples not tied to AI features. Google has not released detailed traffic or click-through numbers for its AI features.

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Google has officially launched Jules, its AI coding agent that was in testing since May. Jules can handle multiple tasks at once and automate routine developer work, similar to Anthropic's Claude Code. The latest version includes easier controls, lets users reuse previous tasks, and adds visual feedback for web app testing, Google says. Jules runs on Gemini 2.5 and is available through several Gemini subscription tiers.

Google is also rolling out Gemini CLI GitHub Actions, a free AI tool that integrates directly with GitHub repositories, automating routine developer tasks on demand. The agent responds to events like new issues or pull requests, working in the background based on the context of each project. Google says the agent supports authentication without fixed credentials and logs activity via OpenTelemetry. Technically, it builds on Gemini CLI.

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Anthropic has released a new open source tool on GitHub that automatically checks code for security vulnerabilities. The GitHub action "Claude Code Security Reviewer" uses the Claude AI model to scan pull requests for potential security issues.

According to the project description, the tool can spot security vulnerabilities across different programming languages by understanding the context of the code. It automatically adds comments directly in code discussions, filters out likely false positives, and focuses only on files that have been modified. The tool is available under the MIT license on GitHub.

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Microsoft has unveiled Project Ire, an AI system designed to automatically analyze software files and determine whether they contain malware. The system uses reverse engineering tools to inspect program code, builds a chain of evidence, and then decides if a file is dangerous. Project Ire was developed by teams from Microsoft Research, Defender Research, and Discovery & Quantum. In tests, Ire correctly identified 90 percent of malware in Windows drivers while producing very few false positives. In another trial with files that were especially difficult to classify, the system achieved 89 percent precision. Microsoft plans to integrate Project Ire into Microsoft Defender as a "Binary Analyzer," aiming to help security analysts by automating routine threat detection.

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Google is now letting utilities like Indiana Michigan Power (I&M) and the Tennessee Valley Authority (TVA) request a slowdown of non-essential AI workloads during periods of grid stress.

The company frames this not just as a way to help stabilize the power grid, but also as a strategic advantage: new data centers could be brought online more quickly, since energy providers would have fewer concerns about peak demand. The move represents a shift in thinking, treating AI not only as a potential strain on the grid but also as a possible buffer. It's still unclear which workloads count as non-essential, but Google says that core services like Search, Maps, and cloud operations for key industries, including healthcare, won't be affected. As an example, Google points to YouTube video encoding as a task that could be scaled back during power shortages.

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