Andrej Karpathy’s 1-hour Stanford lecture on AI engineering is one of the best explanations I’ve seen of how AI systems actually work.
The progression is simple:
10% - LLM
30% - Prompt
50% - Agent
70% - Loop
100% - Graph
The key takeaway: AI engineering isn’t just about writing better prompts.
It’s about building systems around models, giving them context, memory, tools, feedback loops, and data flows.
“Delete everything, keep Graph.”
Definitely worth watching if you’re building with AI agents.
Watch and Bookmark it.
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