Andrej Karpathy
9 statements across 6 episodes · 6 bullish · 0 bearish · 6 people on the record · first statement Oct 20, 2023 by Jeremy Howard · said 110 times in 51 episodes since 2023 · across every show →
On the record as a speaker too: Andrej Karpathy's record, appearances and statements → this page counts the times other people say the name.
Mentions by year
brought up most by Shawn Wang (18), Mikhail Parakhin (6), Alessio Fanelli (5), Raiza Martin (4), Lance Martin (4), Gavriel Cohen (4), Jeremy Howard (3), Eugene Cheah (3)
tap a year for its mentions
2026 27 mentions in 12 episodes 2 per episode
- AI-Native Engineering: 100% adoption, 5x search throughput, unlimited tokens — Mikhail Parakhin
- The AI Frontier: from open weights to open research — Eiso Kant, Poolside AI
- The Blueprint for Autonomous Work Agents | Gavriel Cohen, NanoClaw
- Why Your AI Agents Don’t Work with Dex Horthy of HumanLayer | In-Context Cooking
- ⚡️ Google's Open AI Strategy — Omar Sanseviero, Google DeepMind
- Cursor's Third Era: Cloud Agents — ft. Sam Whitmore, Jonas Nelle, Cursor
- Podcast Crossover: AIE, AGI, frontier lab strategy with @matthew_berman and @swyxtv
- The Future of AI Infra: from Kubernetes to Agent Sandboxes — Akshat Bubna, Modal CTO
- 4 more episodes that year, every mention in 2026 →
2025 49 mentions in 23 episodes 2 per episode
- After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs
- Personalized AI Language Education — with Andrew Hsu, Speak
- Context Engineering for Agents - Lance Martin, LangChain
- Information Theory for Language Models: Jack Morris
- ⚡️ 10x AI Engineers with $1m Salaries — Alex Lieberman & Arman Hezarkhani, Tenex
- AI to AE's: Grit, Glean, and Kleiner Perkins' next Enterprise AI hit — Joubin Mirzadegan, Roadrunner
- ⚡️Launching AI Diplomacy: the hardest LLM Game Benchmark yet - Alex Duffy
- Browserbase: Browser Infrastructure For Your AI Agents
- 15 more episodes that year, every mention in 2025 →
2024 27 mentions in 11 episodes 2 per episode
- Making Transformers Sing - with Mikey Shulman of Suno
- How NotebookLM Was Made
- The AI-First Graphics Editor - with Suhail Doshi of Playground AI
- [Paper Club] Molmo + Pixmo + Whisper 3 Turbo - with Vibhu Sapra, Nathan Lambert, Amgadoz
- [LLM Paper Club] Llama 3.1 Paper: The Llama Family of Models
- The 10,000x Yolo Researcher Metagame — with Yi Tay of Reka
- 2024 in Post-Transformer Architectures: State Space Models, RWKV [Latent Space LIVE! @ NeurIPS 2024]
- Training Llama 2, 3 & 4: The Path to Open Source AGI — with Thomas Scialom of Meta AI
- 3 more episodes that year, every mention in 2024 →
2023 7 mentions in 5 episodes 1 per episode
- The End of Finetuning — with Jeremy Howard of Fast.ai
- RWKV: Reinventing RNNs for the Transformer Era
- Beating GPT-4 with Open Source Models - with Michael Royzen of Phind
- Why AI Agents Don't Work (yet) - with Kanjun Qiu of Imbue
- Ep 18: Petaflops to the People — with George Hotz of tinycorp
- every mention in 2023, scene by scene →
Everything said about Andrej Karpathy, oldest first
Oct 20, 2023 positive
Howard: Tesla and OpenAI Scholars used Fast.ai courses for deep learning training
“Andre Capathy grabbed me when I saw him at NeurIpes a few years ago, and he's like, I have to tell you, thanks to the fast AI courses, when people come to Tesla, and they need to know more about deep learning, we always send them to your course. And the OpenAI…”
Jan 2, 2024 positive
Mar 14, 2024 positive
Sep 21, 2024 neutral
Karpathy: llm.c rejects performance PRs if added complexity harms developer onboarding
“A lot of lmc just kind of, like balancing the improvement and speed with the complexity of what you're actually introducing, and so I've actually rejected a lot of PRs because of that, because the code starts to get crazy, and I think that decreased the amount…”
Sep 21, 2024 positive
Sep 21, 2024 neutral
Sep 21, 2024 positive
Karpathy: llm.c avoids tensor abstractions in favor of raw float arrays
“And one thing I'd really like to do in LN.c is I just want to keep things simple. I don't want to create a tensor abstraction. I don't want to create any abstraction, really. It's just float arrays and operations on float arrays.”
Dec 12, 2025 positive
Apr 22, 2026
Parakhin: Shopify built agent memory systems before Karpathy proposed them
“Just even yesterday, Andrej Karpathy was famous in tweeting about, oh, there's some ways that you can organize your agents to store the data and then look up the data so that you don't have to research or lose context every time. And a little bit tongue-in-che…”