Andrej Karpathy · 2026-10-11 · notable
Andrej Karpathy — the gap in understanding LLM capability is widening
Andrej Karpathy argues the gap in how people understand LLM capability is growing. He describes a funnel from 6 billion people who barely use LLMs to about 5,000 with internal access to the most advanced systems.
Karpathy says most people see a basic chatbot while a tiny group watches agents finish months of work.
What is it?
Andrej Karpathy revisited his April post on X to argue that the gap in shared understanding of LLM capability is widening. He now calls it a sharp funnel instead of two groups talking past each other. The post reached 441 points and 600+ comments on Hacker News.
How does it work?
The funnel has four levels in Karpathy's estimate: about 6 billion people who have barely used LLMs, 1–2 billion casual users of free chatbots, about 20 million coders and mathematicians on frontier models, and about 5,000 people with internal access. He names three drivers: the size and time horizon of the problems people try, jagged capability that peaks in verifiable, valuable domains like math and code because of reinforcement learning with verifiable rewards, and access tiers (free, paid, internal).
Why does it matter?
Debates about AI keep failing because people judge it from very different experiences. Karpathy says agents now finish projects that once took weeks from a single prompt, and that human review is falling behind, pointing to the 722 OpenAI math manuscripts still being checked. The post gives a simple frame for why executives, casual users and engineers disagree.
Who is it for?
anyone explaining AI progress to others