How would you guys compare these 2 skills? When would you use one over the other?

I have to admit that I’m a bit confused by everything that has recently emerged around building an AI Operating System (AI OS). Let me explain. First, I came across the concept of a Wiki LLM, as described by Andrej Karpathy, and that seemed fairly straightforward to me. Then Graphiti entered the scene, introducing the idea of building knowledge graphs from complex relationships. However, it’s still not entirely clear to me whether Graphiti can be integrated into a Wiki LLM system to analyze complex resources such as Excel files, or whether it should be treated as a standalone system. And then there’s the AI OS concept itself. I’m not sure whether it’s intended to consolidate all these innovations into a single framework, or whether it represents an entirely different approach. I’m still at the beginning of my journey, and I’d like to build my own “second brain” in the most effective way possible, starting with the right tools from day one. Do you have any suggestions or recommendations on how to approach this?

With Claude 4 just dropping, interested to hear which LLm peeps are using as their go to for AI agents? Any reason not to use Claude 4 for general purpose use? Thanks in advance 👍

Cursor just launched Automations, which are trigger-based AI coding agents that can launch automatically on events like PRs, Slack messages, and alerts instead of you manually prompting them. In this video I break down how they work, how they compare to Claude Code and OpenClaw, and why the fundamentals matter more than the tools. There are 7 core agent concepts (triggers, instructions, tools, models, sandboxing, state, and deployment) that transfer across every tool in this space. Learn one tool well and you'll do well no matter what comes next.