Google releases Gemini 2.5 Computer Use model in public preview, allowing developers to create AI agents that control devices by clicking, typing, and scrolling like humans, outperforming competitors on benchmarks while featuring comprehensive safety measures to prevent misuse.
OpenAI revolutionizes ChatGPT by integrating third-party apps from Booking.com, Spotify, Figma, and others, allowing users to directly access external services through natural language commands within conversations, though privacy concerns emerge over data sharing with developers.
Google DeepMind launches CodeMender, an AI agent that autonomously detects and fixes security vulnerabilities in software, having already submitted 72 security patches across 4.5 million lines of open-source code including fixes for exploits used in major attacks.
Google Cloud unveils Vertex AI Agent Builder as major corporations including ADT, Mayo Clinic, and Vodafone deploy AI-powered customer service agents using the new platform's no-code development tools and enterprise security features.
Gate22 launches an open-source gateway that lets teams control and audit which tools AI agents can access across platforms like Cursor, featuring function-level permissions, credential management, and unified configuration bundles.
Google DeepMind launches CodeMender, an AI agent that automatically detects and fixes software security flaws, successfully delivering 72 patches to open source projects within six months while handling codebases up to 4.5 million lines.
ElevenLabs unveils Agent Workflows platform featuring specialized subagents with individual system prompts and knowledge bases, visual conversation flow design, human operator transfers, and optimized performance through different AI models for various tasks.
ServiceNow launches Studio Platform for no-code AI agent development, releases thousands of pre-built AI agents for security and network operations, and announces $2.85 billion acquisition of AI startup Moveworks to accelerate its artificial intelligence strategy.
Revolutionary AI research systems now deploy orchestrator agents that coordinate multiple subagents to scan vast information sources like Google Drive and Notion, delivering comprehensive answers that surpass traditional keyword searches by synthesizing data from multiple channels before providing users with thorough, well-researched responses.
AI agents powered by large language models now assist scientists with research tasks like data curation and literature reviews, while new collaborative systems mimic medical teams to analyze drug trials and identify unexpected therapeutic effects, though current technology still requires human oversight due to reliability limitations.