@Krishnasagrawal: Andrej Karpathy’s 1-hour Stanford lecture on AI engineering is one of the best explanations I’ve seen of how AI systems…

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Andrej Karpathy's Stanford lecture offers a concise explanation of AI engineering, focusing on building systems around models with context, memory, tools, and feedback loops.

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 →
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Cached at: 08/16/26, 11:59 AM

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 →

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