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Large Language ModelsTHE DECODERPublished: Oct 12, 2026, 22:01 JST

Andrej Karpathy: 5,000 insiders see real AI power

Andrej Karpathy: 5,000 insiders see real AI power

3 Key Points

  1. What happened

    Karpathy split LLM users into four levels: about six billion people have barely touched LLMs, one to two billion use free chatbots casually, 20 million are professional frontier users, and roughly 5,000 have internal systems.

  2. Why it matters

    He says most professionals see only a modest uplift, while a tiny sliver experiences a capability curve going vertical at the same time.

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Context & Analysis

Karpathy's tier breakdown comes from his own observation of how different groups interact with large language models. He notes that even many professionals outside math and code fall into the casual tier, understanding what is happening intellectually but only second-hand and abstractly.

The shift he describes has been fast. In October 2024, Karpathy dismissed AI agents as mostly marketing, but within months he stopped writing code by hand. He then joined Anthropic, despite being an OpenAI co-founder. OpenAI CEO Sam Altman made a similar point in early September at the G20 Innovation Ministerial, saying a current AI coding tool could achieve in 17 minutes what a startup had previously built over three months. Karpathy says LLM capability is peaking in domains that are digital, verifiable and economically valuable, because it emerges from reinforcement learning on verifiable rewards and companies direct training resources toward the highest revenue potential, currently coding and math.

FAQ
How many people have access to internal frontier AI systems?
Karpathy estimates about 5,000 people, roughly 0.00006 percent of the global population.
What did Karpathy say about his own coding habits?
He said that in October 2024 he called AI agents mostly marketing that barely worked, but a few months later he stopped writing code by hand entirely.

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