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  • Andrej Karpathy: Software Is Changing (Again) - YouTube
    Andrej Karpathy's keynote on June 17, 2025 at AI Startup School in San Francisco Slides provided by Andrej: https: drive google com file d 1a0h1mkwfmV2Plek
  • Andrej Karpathy: Software Is Changing (Again) - Y Combinator
    AI Startup School: Drawing on his work at Stanford, OpenAI, and Tesla, Andrej sees a shift underway We’ve entered the era of “Software 3 0,” where natural language becomes the new programming interface and models do the rest
  • Andrej Karpathy: Software in the era of AI [video] | Hacker News
    I find Karpathy's focus on tightening the feedback loop between LLMs and humans interesting, because I've found I am the happiest when I extend the loop instead When I have tried to "pair program" with an LLM, I have found it incredibly tedious, and not that useful
  • Andrej Karpathy
    I have a YouTube channel, where I post lectures on LLMs and AI more generally In 2015 I designed and was the primary instructor for the first deep learning class Stanford - CS 231n: Convolutional Neural Networks for Visual Recognition ️
  • Andrej Karpathy: Software Is Changing (Again)
    Natural-language prompts can now effectively program computers via large language models (LLMs), a paradigm Andrej Karpathy calls “Software 3 0” This new approach is poised to eat the existing codebase, requiring rewrites of vast amounts of software LLMs have become a ubiquitous utility-like resource
  • “How I use LLMs” Practical Guide to AI by Andrej Karpathy
    If you’re curious about what these AI tools can really do beyond the basics, this comprehensive video from Andrej Karpathy—founding member of OpenAI and former AI Director at Tesla—offers a clear, educational walkthrough of today’s AI landscape 🎯 Technical Level: Beginner to Advanced
  • Summary of Karpathy’s Deep Dive into LLMs like ChatGPT
    In this video, Andrej Karpathy aims to provide a comprehensive introduction to large language models like ChatGPT, making it accessible for a general audience He plans to explore how these models work, what users should input, and the nature of the responses generated


















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