Andrej Karpathy's Shift from LLMs for Code to LLMs for Thought
data-science•Apr 4, 2026

Andrej Karpathy's Shift from LLMs for Code to LLMs for Thought

Andrej Karpathy's workflow now involves using LLMs to compile, maintain, and evolve code, rather than just answering questions.

medium

medium

Original source

Key summary

Andrej Karpathy has changed his approach to using Large Language Models (LLMs), shifting from using them to write code to using them to think and evolve code.

TL;DR

  • Andrej Karpathy uses LLMs for code maintenance and evolution
  • Shift from code generation to AI thinking
  • LLMs compile, maintain, and evolve code
  • New approach to AI development
  • Improved code quality and efficiency
  • Increased reliance on AI for code management

This content is automatically summarized using AI. For full context, always refer to the original article.

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