What happens when an AI stops waiting for instructions and starts calling the shots? This talk dives into the Model Context Protocol (MCP), an emerging standard that lets large language models autonomously chain tools to solve problems—like an AI choosing when to browse, code, or execute on its own. With great power comes great unpredictability: MCP blurs the boundary between reasoning and execution, turning an LLM’s thoughts directly into actions.