Anthropic's Andrej Karpathy says "the external world has seen the preview" of what AI can actually do
Andrej Karpathy describes a widening capability gap in AI usage, with ~5,000 people accessing internal frontier systems that can mint zero days and run cyber operations.
Andrej Karpathy, now at Anthropic, published an analysis dividing LLM users into four tiers: roughly 6 billion people with minimal exposure, 1-2 billion casual users, 20 million professional users seeing major productivity gains in coding and math, and approximately 5,000 people with access to internal frontier systems. He describes those internal systems as running swarms of thousands of agents collaborating on software mega projects, minting zero days, running cyber attacks and defenses at machine speeds, and discovering new science. Karpathy notes that human review and comprehension are falling behind AI output, with mathematicians still reviewing 722 manuscripts on frontier mathematics.
- Karpathy estimates ~5,000 people have access to internal frontier AI systems
- Internal systems reportedly run agent swarms for zero-day discovery and cyber operations at machine speed
- Only ~20 million professional users see significant capability gains from frontier LLMs
- Human review increasingly unable to keep pace with AI-generated output
- AI models
- ChatGPT
From the original article
3 min read at the-decoder.com
Andrej Karpathy, co-founder of OpenAI and now at Anthropic, sees a widening knowledge gap in AI. About 75 percent of the world's population has barely touched LLMs. Roughly 5,000 people, meanwhile, have access to internal frontier systems whose agent swarms do work that would take top experts years.
By Matthias Bastian · the-decoder.com
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