Hands On Getting large language models to actually do something useful usually means wiring them up to external data, tools, or APIs. The trouble is, there's no standard way to do that - yet.… ...

Building and publishing Model Context Protocol (MCP) servers is a crucial step in allowing language models to interact seamlessly with external tools and resources. These servers act as intermediaries ...

Gemini Spark Mac beta lands on the existing Gemini desktop app, letting Google’s autonomous AI agent sort local files, ...

Making inherently probabilistic and isolated large language models (LLMs) work in a context-aware, deterministic way to take real-world decisions and actions has proven to be a hard problem. As we ...

Scoped access beats standing access, every single time ...

What if your next project could be powered by a system of intelligent agents working together seamlessly, each specializing in a specific task? Imagine a platform where one agent retrieves critical ...

Anthropic PBC’s official Git Model Context Protocol server has several security vulnerabilities that can lead to arbitrary file access and, in some scenarios, full remote code execution triggered ...