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 7
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Karpathy lecture on how AI systems work; broad, not novel
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The progression is simple:
10% → LLM 30% → Prompt 50% → Agent 7
> Karpathy lecture on how AI systems work; broad, not novel
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 → Bookmark it
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