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Can Coding Agents Improve Themselves? Researchers from University of Bristol and iGent AI Propose SICA (Self-Improving Coding Agent) that Iteratively Enhances Its Own Code and Performance

The development of agentic systems—LLMs embedded within scaffolds capable of tool use and autonomous decision-making—has made significant progress. Yet, most implementations today rely on fixed, hand-crafted orchestration strategies. These designs are inherently constrained, limiting the agent’s adaptability to new tasks…

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Google NotebookLM Launches Audio Overviews in 50+ Languages, Expanding Global Accessibility for AI Summarization

Google has significantly expanded the capabilities of its experimental AI tool, NotebookLM, by introducing Audio Overviews in over 50 languages. This marks a notable leap in global content accessibility, making the platform far more inclusive and versatile for a worldwide…

Read MoreGoogle NotebookLM Launches Audio Overviews in 50+ Languages, Expanding Global Accessibility for AI Summarization

Beyond the Hype: Google’s Practical AI Guide Every Startup Founder Should Read

In 2025, AI continues to reshape how startups build, operate, and compete. Google’s Future of AI: Perspectives for Startups report presents a comprehensive roadmap, drawing on insights from infrastructure leaders, startup founders, and venture capital partners. The message is pragmatic:…

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Tutorial on Seamlessly Accessing Any LinkedIn Profile with exa-mcp-server and Claude Desktop Using the Model Context Protocol MCP

In this tutorial, we’ll learn how to harness the power of the exa-mcp-server alongside Claude Desktop to access any LinkedIn page programmatically. The exa-mcp-server provides a lightweight, high-performance implementation of the Model Context Protocol, enabling Claude Desktop to issue HTTP…

Read MoreTutorial on Seamlessly Accessing Any LinkedIn Profile with exa-mcp-server and Claude Desktop Using the Model Context Protocol MCP