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title: Andrej Karpathy: "99% Use AI & LLMs Wrong" (Here’s How...
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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Andrej Karpathy: "99% Use AI & LLMs Wrong" (Here’s How He Does It)

**[Showcase](https://daily.dev/sources/showcase)** · [@webkmsyed](https://daily.dev/webkmsyed) · 1 upvotes · 0 comments

## Summary

A transcript-style explainer breaks down how large language models actually work and how to use them more effectively, using ChatGPT, Claude, Gemini, Grok, and Perplexity as examples. It covers the mental model of the context window as working memory, the distinction between pre-training (knowledge, with a cutoff date) and post-training (assistant persona), when to trust model knowledge versus verify it, model tiers and pricing across providers, 'thinking' models tuned via reinforcement learning for harder math/code problems, internet search tool integration, the newer 'deep research' feature that combines search and extended thinking, uploading documents/PDFs for context, using LLMs to read books and papers, and finally introduces the Python interpreter tool for tasks models can't reliably do via next-token prediction alone (like large multiplications).

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=7YEHs2SMaVQ>

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---

Tags: [#llm](https://daily.dev/tags/llm), [#chatgpt](https://daily.dev/tags/chatgpt), [#claude](https://daily.dev/tags/claude), [#prompt-engineering](https://daily.dev/tags/prompt-engineering)

[View this post on daily.dev](https://daily.dev/posts/6v5qmyq9d)

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