Karpathy and Mollick Describe Uneven Access to and Use of Advanced LLMs

1. 20:51
   The Decoder

   Andrej Karpathy describes a widening gap in how people experience AI capabilities

   Andrej Karpathy describes four tiers of LLM exposure, arguing that public perceptions lag behind capabilities experienced by frontier-system users. He estimates roughly six billion people have barely encountered LLMs, one to two billion use casual chatbot products, 20 million use frontier models professionally in math and code, and 5,000 access internal frontier systems. He claims those internal systems coordinate thousands of agents on projects that would take experts years, while human review falls behind, and attributes progress in coding and math to reinforcement learning on verifiable rewards and commercial training priorities.

2. 07:14
   Ethan Mollick · X

   Ethan Mollick argues advanced model use at labs remains concentrated in a few fields

   Ethan Mollick argues that many of the 5,000 people at labs with access to advanced models still haven’t used them to their full extent, with use concentrated in cybersecurity, math, and AI R&D. There are many other fields to advance and problems to solve, he adds, responding to @karpathy’s argument that the gap in shared understanding of LLM capabilities is widening.

3. 05:51
   宝玉 · X

   Karpathy Says the LLM Capability Gap Is Becoming a Funnel

   Andrej Karpathy argues the gap in shared understanding of LLM capability is widening into a sharp funnel: roughly 6B people have barely touched LLMs, 1-2B use free-tier chatbots casually, about 20M use frontier models for math and code, and roughly 5,000 have internal access to frontier systems. He attributes the funnel to problem ambition, capability jaggedness in verifiable domains, and access tiers.

4. 03:12
   Andrej Karpathy · X

   Karpathy: LLM Capability Gap Is Widening Into a Sharp Funnel

   Andrej Karpathy says the gap in shared understanding of LLM capability is widening into a "sharp funnel" rather than two groups talking past each other. He estimates roughly 6B people have barely encountered LLMs, 1-2B use free-tier ChatGPT-like products casually, about 20M see frontier-grade math and code use, and roughly 5,000 have internal access to frontier systems. He attributes the funnel to impact scaling with ambition, the jaggedness of capability, and access tiers.

1. 16:46
   Tibor Blaho · X

   OpenAI and Anthropic Expand Models, Tools, and Access This Week

   OpenAI and Anthropic announced a broad set of model, product, and access changes this week. OpenAI rolled out GPT-6 with Intelligent UI in ChatGPT, with GPT-6 Sol on paid plans and GPT-6 Luna on Free and Go, and said GPT-6 Astra scored 55.0% versus GPT-5.6 Sol’s 41.6% on 11 contracting tasks. Anthropic released Claude Haiku 5.5 at $0.10 / $0.50 per million tokens for prompts up to 100K, with a 1M context window.

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