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Andrej Karpathy

Researcher, Pre-training Team, Anthropic

Search every verified Andrej Karpathy interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. Andrej Karpathy appeared in an interview with Stephanie Zhan at Sequoia Capital, published around April 30, 2026, where he discussed his recent work and perspectives on AI-assisted software development. He said he feels more behind as a programmer than ever before, attributing this to the rapid advancement of agentic tools. Karpathy described "vibe coding" as a development that raises the floor of what any person can do in programming, while introducing "agentic engineering" as a framework for maintaining professional quality standards, including addressing vulnerabilities and maintaining responsibility for software. He argued that current large language models are trained in large reinforcement learning environments where they receive rewards for verifiable results, which leads to uneven capabilities that are strongest in verifiable areas like math and programming. Karpathy also discussed the role of verifiability in automation, stating that while ordinary computers automate what can be described in code, current LLMs automate what can be verified. He expressed interest in knowledge bases as tools for processing information and generating synthetic data, suggesting that understanding remains a fundamental bottleneck. He noted that he uses such tools to ask questions and gradually build personal knowledge bases from articles, while acknowledging that models remain weak in understanding and that humans remain responsible for direction and oversight.

Recent appearances

  • Андрей Карпатый в Sequoia: Эра Agentic Engineering

    November 02, 2026 · 📺 Nikolay Sekachev

    Русский перевод интервью Andrej Karpathy со Stephanie Zhan на Sequoia Capital. Vibe Coding и Agentic Engineering, работа с Claude Code, Codex и OpenClaw, проверяемость результатов, найм разработчиков и обучение в эпоху агентов. Английский оригинал сохранён тихо на фоне. Оригинал:    • Andrej Karpathy: From Vibe Coding to Agent...   Источник и автор: Sequoia Capital. Участники: Andrej Karpathy и Stephanie Zhan. 00:00 Вступление 00:44 Почему Karpathy чувствует, что отстал 02:28 Как устроен Software 3.0 03:44 Агенты вместо установщиков 04:49 MenuGen и прямые промпты 07:37 Что становится очевид…

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  • This 1-Hour Andrej Karpathy Lecture Explains Modern AI Better Than Most Courses

    August 18, 2026 · 📺 TechXOps

    If you're building with LLMs, Generative AI, AI Agents, or Transformers, this Andrej Karpathy Stanford lecture is worth your time. In this session, Karpathy explains the evolution of programming and AI — from traditional software to neural networks, Transformers, GPTs, and what he calls Software 3.0. One of the most fascinating ideas in the lecture is how the 2017 “Attention Is All You Need” paper changed everything. The industry moved from complex recurrent architectures toward a surprisingly powerful idea: Remove the RNN. Keep attention. That architecture eventually became the foundatio…

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  • Andrej Karpathy Spent 8 Years at OpenAI & Tesla - This AI Lecture Is Better Than Most $15K Bootcamps

    August 17, 2026 · 📺 Batavus

    Andrej Karpathy spent 8 years at OpenAI and Tesla, working at the frontier of AI. Last week, he condensed much of what he’s learned into a free 2-hour lecture on how modern AI systems are evolving: Agents → Loops → Graphs → Self-Improving Systems People pay thousands for AI bootcamps that cover less than this. If you’re building with AI — or want to understand where AI engineering is heading — this is worth your time. You probably don’t have two hours right now. Save it. Don’t let it disappear from your feed. Watch the lecture when you have time.

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  • "Delete Everything, Keep Graph” - Andrej Karpathy Stanford Lecture

    August 14, 2026 · 📺 philia

    Andrej Karpathy and AI systems engineering into a single hour. His core thesis: "You can actually delete everything… Delete everything, keep Graph." Here is the entire roadmap broken down: 1. The Foundation (10%): Treat the LLM as a raw computer you reprogram on the fly. 2. The Code (30%): Natural language is your new programming syntax. 3. The Agency (50%): Connect memory, tools, and context so predictions trigger execution. 4. The Loops (70%): Keep inference-time reasoning strictly separate from weight optimization. 5. The Network (100%): Turn complex agent workflows into directed, messag…

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  • #333 – Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI

    August 07, 2026 · 📺 Family Cartoon

    Andrej Karpathy is a legendary AI researcher, engineer, and educator. He’s the former director of AI at Tesla, a founding member of OpenAI, and an educator at Stanford. Please support this podcast by checking out our sponsors: – Eight Sleep: https://www.eightsleep.com/lex to get special savings – BetterHelp: https://betterhelp.com/lex to get 10% off – Fundrise: https://fundrise.com/lex – Athletic Greens: https://athleticgreens.com/lex to get 1 month of fish oil EPISODE LINKS: Andrej’s Twitter:   / karpathy   Andrej’s YouTube:    / andrejkarpathy   Andrej’s Website: http://karpathy.ai…

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  • Andre Karpathy - Size Isn'tThe Bottleneck Anymore

    July 21, 2026 · 📺 COAI

    Andrej Karpathy just challenged one of the biggest assumptions in AI. Most people think better agents come from bigger models — more parameters, more compute, more scale. He argues the opposite. In 16 minutes, he makes the case that raw size isn't the bottleneck anymore. What actually determines whether an agent works is the tools it has access to and how tight the feedback loop is between action and correction. Small models, paired with the right tools and a fast feedback loop, can outperform brute-force scale. The intelligence isn't just "in the weights" — it's in the system around the m…

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  • Karpathy Just Said What Nobody Wants to Admit About AI Agents @AndrejKarpathy

    July 18, 2026 · 📺 Eugen Ullrich

    Andrej Karpathy just said the quiet part out loud: your agent loop is producing garbage at scale, and you can't see it. One output ...

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  • Andrej Karpathy: From Pattern Matching to Reasoning Engines

    July 17, 2026 · 📺 viki virgon1

    In this insightful interview from No Priors, Andrej Karpathy, former Director of AI at Tesla and researcher at OpenAI, dives deep into ...

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  • Stop Prompting Chatbots: How to Build AI Agents | Andrej Karpathy: The Old Way of Using AI is Dead

    June 24, 2026 · 📺 frugle

    OpenAI co-founder and former Tesla AI lead Andrej Karpathy dropped a massive warning that most AI users are completely missing. If you are still manually typing prompts into a chatbot, you are already falling behind.The frontier of technology has officially shifted from simple prompt engineering to autonomous AI agents, loops, and self-running systems. In this video, we break down why the creators of AI don't use it the way the public does, what "vibe coding" really means for the future of software, and how you can pivot your workflow to stay relevant before you get left behind. 📌 Timestamps:…

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  • Andrej Karpathy on Future Of AI, LLM OS, and Building Ecosystems

    June 05, 2026 · 📺 Perfology Clips

    Andrej Karpathy on Future Of AI, LLM OS, and Building Ecosystems The Future Of AI : Andrej Karpathy on AGI, Open Source, and working with Elon Musk #andrejkarpathy #ai #llm #agenticai

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  • Andrej Karpathy: The AI Visionary Behind OpenAI, Tesla & Modern AI @AICreatorForge

    June 03, 2026 · 📺 AI Creator Forge

    🎥 Andrej Karpathy: The AI Visionary Behind OpenAI, Tesla & Modern AI Discover the incredible journey of Andrej Karpathy, one of the most influential minds in Artificial Intelligence. From OpenAI and Tesla Autopilot to AI education and nanoGPT, learn how he helped shape the future of modern AI and inspired millions of developers worldwide. #AndrejKarpathy #ArtificialIntelligence #MachineLearning #AIEducation

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  • Future of AI programming | Andrej Karpathy

    May 27, 2026 · 📺 ConferencedAI

    Andrej Karpathy delivered this keynote on June 17, 2025, at the AI Startup School in San Francisco. In this talk, he explains how software is evolving from traditional coding to what he calls “Software 3.0,” where natural language becomes the programming interface and AI models handle much of the implementation. Drawing from his experience at Stanford, OpenAI, and Tesla, Andrej explores how Large Language Models (LLMs) are transforming software development, changing the relationship between humans and computers, and creating a new computing paradigm. He discusses the psychology of LLMs, A…

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Verified interview transcripts

Notable quotes

“I'm suspicious of this idea of like a deliberate panspermia as you described it, sir. I don't see a divine intervention in some way in the in the historical record right now. I do feel like the story in these in these books like Nick Lane's books and so on sort of makes sense and it makes sense how life arose on Earth uniquely. And yeah, I don't need a I need I don't need to reach for more exotic explanations right n”

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The summary and quote tags on this profile are produced with AI assistance from verified, first-person interview transcripts, then checked by our team to confirm the speaker's identity and the accuracy of every quote. See how we verify →