Andrej Karpathy
Founder, Eureka Labs. On 4 shows, 4 appearances, plus 2 compilation re-airs not counted. The Shows tab opens the full record on each.
scientistengineerfounderexecutiveacademic@karpathy ↗karpathy.ai ↗Wikipedia ↗YouTube ↗
Andrej Karpathy was a founding member of OpenAI and the former Senior Director of AI at Tesla, where he led the computer vision team for Autopilot. He also founded the AI-native education platform Eureka Labs and is known for creating open-source AI education projects like nanoGPT.
4shows
4appearances
91statements
6resolved
4supported
1contradicted
67%fully supported
233said about them ↓ Everything Andrej Karpathy said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Karpathy: Tesla is ahead of Waymo because software is easier than hardware
“I think, personally, Tesla is ahead of Waymo, and I know it doesn't look like that, but I'm still very bullish on Tesla and its self-driving program. I think that Tesla has a software problem, and I think Waymo has a hardware problem, is the way I put it, and …”
Karpathy says Software 3.0 eliminates apps via direct neural generation
“The software three-point paradigm is a lot more kind of raw. It just, neural network is doing more and more of the work, and your prompt or context is just the image, and the output is an image, and there's no need to have any of the app in between.”
Karpathy: Coding agent failures are user skill issues, not capability limits
“Even if they don't work, I think to a large extent, you feel like it's a skill issue. It's not that the capability is not there. It's that you just haven't found a way to string it together of what's available. Like I just don't, I didn't give good enough inst…”
Karpathy: Claude feels like a teammate, whereas Codex coding agent is dry
“I actually think Claude has a pretty good personality. It feels like a teammate and it's excited with you, et cetera. I would say for example, Codex is a lot more dry which is kind of interesting because in Chashi PT, Codex is like a lot more upbeat and highly…”
Karpathy: Software industry must reconfigure for agent customers instead of humans
“So I think the industry just has to reconfigure in so many ways that it's like the customer is not the human anymore. It's like agents who are acting on behalf of humans. And this refactoring will be, will probably be substantial in certain sense.”
Karpathy: Autonomous agent tool creation will be trivial within three years
“I kind of feel like this kind of stuff that I just talked about, this should be free, like in a year or two or three. There's no bi-coding involved. This is trivial. This is table stakes. This is like any AI, even the open source models, et cetera, can like do…”
Karpathy: Maximizing AI leverage requires removing humans from prompting loops entirely
“To get the most out of the tools that have become available now, you have to remove yourself as the bottleneck. You can't be there to prompt the next thing. You're, you need to take yourself outside
you have to arrange things such that they're completely auto…”
Karpathy: All frontier AI labs are pursuing recursive LLM self-improvement
“What I'm more interested in is, like, this idea of recursive self-improvement and to what extent you can actually have LLMs improving LLMs, because I think all the Frontier Labs, this is, like,
The thing for obvious reasons.
And they're all trying to recursive…”
Karpathy: A research organization can be defined as a set of markdown files
“A research organization is a set of markdown files that describe all the roles and how the whole thing connects.”
Karpathy: Smarter AI models do not automatically gain broad societal capabilities for free
“The story is that we're getting a lot of the intelligence and capabilities in all the domains of society, like, for free as we get better and better models, and it's not, like, exactly fundamentally what's going on, and there's some blind spots, and some thing…”
Karpathy: AI models will speciate into specialized smaller domain experts
“I do think that we will, we, I do think we should expect more speciation in the intelligences.”
Karpathy: Swarms of internet agents could outpace frontier AI labs
“A swarm of agents on the internet could collaborate to improve LLMs and could potentially even, like, run circles around Frontier Labs. Like, who knows, you know? Yeah, like, maybe that's even possible. Like, Frontier Labs have a huge amount of trusted compute…”
Karpathy: Cheaper software via AI will trigger Jevons paradox increasing demand
“So if the barrier comes down, then actually you have the Jevons paradox, which is, like, you know, you actually, the demand for software actually goes up. It's cheaper and there's more”
Karpathy: Frontier AI researchers are actively automating themselves out of jobs
“Even with other research, like, OpenAI or, you know Anthropic or these other labs, like, they're employing, what, like, a thousand something researchers, right? These researchers are basically, like, glorified auto, like, you know. They're, like, automating th…”
Karpathy: Frontier lab researchers face pressure over what they can say
“Like, if you're inside one of the frontier labs, like, there are certain things that you can't say and conversely, there are certain things that the organization wants you to say, and, you know, they're not gonna twist your arm, but you feel the pressure of, l…”
Karpathy: AI researchers lose technical judgment after leaving frontier labs
“And I think if you're outside of that frontier lab your judgment fundamentally will start to drift because you're not part of the, you know, what's coming down the line.”
Karpathy: Open source trails closed frontier AI models by 6 to 8 months
“So there may be, they're behind by like, what is the latest, maybe like eight months, six months, eight months kind of thing right now.”
Karpathy: Solely relying on closed AI models creates systemic risk
“I don't actually think it's like structurally, I think there's some systemic risk attached to just having intelligences that are closed, and that's like, that's it. And I think that that's a, you know, centralization has a very poor track record in my view”
Karpathy: Educators will soon teach AI agents instead of human students
“I feel like there's gonna be less of like explaining things directly to people. And it's gonna be more of just like, does the agent get it? And if the agent gets it, they'll do the explanation.”
Karpathy: Software documentation will shift from human HTML to agent markdown
“Instead of HTML documents for humans, you have markdown documents for agents, because if agents get it, then they can just explain all the different parts of it. So it's this redirection through agents, you know and that's like, so I think we're going to see a…”
LLMs invert historical tech diffusion by reaching consumers before enterprise
“LLMs, like, flip, they flip the direction of technology diffusion, ah, that is usually, ah, present in technology. So, for example, with electricity, cryptography, computing, flight, internet, GPS, lots of new transformative technologies that have not been aro…”
Waymo autonomous vehicles still rely heavily on human teleoperation
“Like, you may see Waymo's going around, and they look driverless, but, you know, there's still a lot of teleoperation and a lot of human in the loop of a lot of this driving.”
2025 is not the year of AI agents, it is the decade
“When I see things like, oh, twenty-twenty-five is the year of agents, I get very concerned, and I kind of feel like, you know, this is the decade of agents, and this is going to be quite some time. We need humans in the loop.”
Developers should build Iron Man suits, not fully autonomous robots
“Working with valuable LLMs and so on, I would say, you know, it's less Iron Man robots and more Iron Man suits that you want to build. It's less like building flashy demos of autonomous agents and more building partial autonomy products”
The other half of the tape: Andrej Karpathy's own voice is left out of every number here. Other people bring the name up 222 times in 113 episodes across the shows. 11 statements on the record name them. every mention, with the transcript →
Who brings them up most John Coogan 25Shawn Wang 18Diana Hu 8Garry Tan 7Mikhail Parakhin 6Alessio Fanelli 5Raiza Martin 4Lance Martin 4
Statements about Andrej Karpathy, by other people (11)
Waymo's autonomous driving technology is fundamentally centered on AI, not hardware
“It's all about AI. Full stop. Like we talked about, you know, a few big breakthroughs that allowed us to get to where we are today. You know, content, transformers, big Ness now, you know, most recently kind of combining the Waymo AI with the congenital knowle…”
Masad: Replit has solved AI agent challenges Andrej Karpathy considers unsolved
“He talked about all the different things that are really unsolved, but in reality, we actually solved a lot of them.”
Coogan: Andrej Karpathy broke AI consensus by projecting a decade of agents
“Even though he's worked at OpenAI, even though he's worked at Tesla, he broke rank, he went on the Dwarkesh Patel show, and said, you know what, I think we're more in a decade of agents. I think AGI might not be right around the corner. He took a contrarian st…”
Coogan: Andrej Karpathy Basically Invented Tesla Self-Driving
“It's a glowing review of Tesla self-driving from the man who basically invented it and started the whole Sort of the whole process.”
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…”
Nadella: Improving AI reliability nines progresses linearly or sublinearly
“That's the nines problem. Right? That is, each nine is maybe linear, even sublinear problem. Right? In terms of rate of progress.”
Doshi: Learn AI via Andrej Karpathy's YouTube tutorials over books
“You shouldn't take a book. You should just go to YouTube and visit Kaparthi's class. And just do it, grind through it.”
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…”
Coogan: Karpathy describes neural computers rendering dynamic UIs via diffusion
“Karpathy describes it as, imagine a device that takes raw video or audio into basically what's a neural net and uses diffusion to render a UI that's unique for that moment.”
Swyx: Andrej Karpathy has promised to appear on Latent Space
“Is a supporter of ours that is, that has promised to be on at some point Andre.”
Every mention by year
tap a year for its mentions
Latent Space 110
TBPN 84
the Y Combinator Startup Podcast 22
No Priors 6
2026 70 mentions in 38 episodes 2 per episode
- AI-Native Engineering: 100% adoption, 5x search throughput, unlimited tokens — Mikhail Parakhin
- The Axios Supply Chain Attack Explained
- The AI Frontier: from open weights to open research — Eiso Kant, Poolside AI
- The Blueprint for Autonomous Work Agents | Gavriel Cohen, NanoClaw
- Google I/O, Fertility Decline, Spotify Logo Drama | Diet TBPN
- AI Is Coming for Your Memes, Crypto’s Quantum Clock, Axios Hack| Diet TBPN
- Why Your AI Agents Don’t Work with Dex Horthy of HumanLayer | In-Context Cooking
- WWDC Reactions, Claude Fable 5 Debuts, McAfee Eyes ESPN Mega Deal | Diet TBPN
- 30 more episodes that year, every mention in 2026 →
2025 108 mentions in 51 episodes 2 per episode
- The State of AI: A Field Trip to TBPN’s Aura Farm + Today’s Top Tech Stories | Diet TBPN
- After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs
- Fei-Fei Li: Spatial Intelligence is the Next Frontier in AI · Y Combinator
- Personalized AI Language Education — with Andrew Hsu, Speak
- How Does GROK Compare? (Full Analysis)
- Are AI Agents Further Away Than We Think? | Dropbox CEO Drew Houston Joins TBPN
- Context Engineering for Agents - Lance Martin, LangChain
- Information Theory for Language Models: Jack Morris
- 43 more episodes that year, every mention in 2025 →
2024 34 mentions in 17 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
- The "Switzerland of AI" is Crazy (ep3)
- 2024 in Post-Transformer Architectures: State Space Models, RWKV [Latent Space LIVE! @ NeurIPS 2024]
- 9 more episodes that year, every mention in 2024 →
2023 8 mentions in 6 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
- No Priors Ep. 9 | With Perplexity AI’s Aravind Srinivas and Denis Yarats
- every mention in 2023, scene by scene →
2017 2 mentions in 1 episode
One line per show, most statements first. The link opens Andrej's full record on that show: the calibration, argument clarity, speaking style and every statement made there.
| Show | Role there | Eps | Statements | Record | |
|---|---|---|---|---|---|
| NO PRIORSLEDGER | Founder, Eureka Labs | 3 | 60 | 67% 2/3 | full record on No Priors → |
| Y COMBINATORLEDGER | Founder, Eureka Labs | 1 | 16 | 67% 2/3 | full record on the Y Combinator Startup Podcast → |
| LATENT SPACELEDGER | Founder, Eureka Labs | 0 +1 | 14 | — | full record on Latent Space → |
| TBPNLEDGER | Founder, Eureka Labs | 0 +1 | 1 | — | full record on TBPN → |