Andrej Karpathy advises founders at YC's AI Startup School to focus on partial autonomy and human augmentation rather than full agent autonomy.
Insight
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…”
Assertion Not checkable as stated
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.”
Opinion
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.”
Insight
LLMs establish Software 3.0 where natural language prompts are programs
“And I think what's changed, and I think is a quite fundamental change, is that neural networks became programmable. With large language models. And so I see this as quite new, unique. It's a new kind of a computer. And so in my mind, it's worth giving it a new…”
Insight
LLMs function as CPUs and operating systems orchestrating context memory
“LLMs are kind of like a new operating system, right? So, the LLM is a new kind of a computer. It's setting, it's kind of like the CPU equivalent. The context windows are kind of like the memory, and then the LLM is orchestrating memory and compute for problem …”
Assertion Supported
Mac Minis are uniquely suited for batch-one local LLM inference
“Mac minis, for example, are a very good fit for some of the LLMs, because it's all, if you're doing batch one inference, this is all super memory bound, so this actually works.”