The Roadmap to Mastering Tool Calling in AI Agents

Google is launching AI-powered “information agents” that can monitor topics in the background and proactively alert users to updates and changes.

Google is sprucing up its Gemini models, revamping search, and enabling AI agents in everything. There are also some spiffy new smart glasses coming this fall.

Exclusive: Some employees will be moved to new teams focused on AI agents and cloud infrastructure As Meta races to recenter itself around artificial intelligence, the tech giant is mandating more than 7,000 workers must move to new teams, and it’s radically changing some employees’ jobs. The Guardian has also learned that some of these reassigned employees will shift to two new teams: one building AI cloud infrastructure and another that’s building an internal AI agent codenamed Hatch. Late last week, Meta employees received a notice that engineers had been “selected” for reassignment and would begin reporting to the cloud infrastructure and Hatch teams by the end of this week. Meta made a similar move last month when it reshuffled at least 1,000 engineers onto a new data labelling team called Applied AI, or AAI – at first giving them the option to volunteer, but later telling workers, “transfers aren’t optional.” Continue reading...

Care about the process more than the tools.

AI agents are evolving from answering questions to taking actions inside browsers. They can now open pages, click buttons, fill forms, extract data, and automate multi step workflows across websites. Moonshot AI’s Kimi WebBridge brings this capability to Chrome and Edge, allowing local AI agents to safely interact with real browser sessions. In this article, […] The post Kimi WebBridge: Hands-on Guide to Kimi’s Browser Extension for AI Agents  appeared first on Analytics Vidhya.

Coinbase CEO Brian Armstrong sees AI agent payments outgrowing humans as x402 records 75M monthly transactions and Base leads USDC use soon.

In this tutorial, we build an advanced agentic AI system using the OpenAI API and a hidden terminal prompt for the API key. We design the agent as a small pipeline of specialized roles: planner, tool-using executor, and critic, so that we can separate strategy, action, and quality control. We also integrate structured tools (calculator, […] The post How to Build an Advanced Agentic AI System with Planning, Tool Calling, Memory, and Self-Critique Using OpenAI API appeared first on MarkTechPost.

Redis' Iris could accelerate enterprise AI adoption by bridging data retrieval gaps, enhancing efficiency, and reducing infrastructure costs. The post Redis launches Iris, a context and memory platform for AI agents appeared first on Crypto Briefing.