The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.
Norm Hardy’s classic Confused Deputy problem describes a privileged component that is tricked into misusing its authority on ...
This is the core challenge that agentic identity aims to solve. In simple terms, agentic identity is a framework for binding ...
Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.
The Model Context Protocol (MCP) changes this equation. Think of it as the "USB-C for AI." It's an open standard that allows ...
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