Video Description
Alex and Justin break down the fundamentals of large language models and explore the rise of OpenClaw as a self-sovereign AI assistant.
What you'll learn here:
00:00:00 - Intro
00:04:14 - What Large Language Models (LLMs) are and how they differ from traditional programs
00:05:07 - Why AI feels like magic—and what’s really happening under the hood
00:06:01 - The key differences between open and closed AI models
00:06:38 - Why capital structures influence AI model openness
00:09:19 - How persistent memory enhances AI agent performance
00:12:28 - What inference means and why context is a scarce resource
00:19:55 - How AI agents combine traditional software with LLM reasoning
00:22:13 - The evolution from MCP-style systems to skills-based context engineering
00:26:15 - What “vibe coding”...
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