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한국어(KO) 안드레이 카파시는 AI 활용 격차가 가파른 ‘깔때기’처럼 커지고 있다고 진단했다. 약 60억 명은 LLM을 거의 접하지 못했고, 10억~20억 명은 무료 챗봇을 간헐적으로 이용한다. 수학·코딩에 최첨단 LLM을 전문적으로 쓰는 사람은 약 2천만 명, 내부 시스템을 다루는 이는 약 5천

Andrej Karpathy: AI adoption gap widens significantly

By PulseAugur Editorial · [1 sources] ·

Andrej Karpathy has observed a widening gap in AI utilization, likening it to a steep funnel. He estimates that billions of people have minimal to no exposure to Large Language Models (LLMs), while a smaller segment uses free chatbots intermittently. A significantly smaller group, around 20 million, professionally employs cutting-edge LLMs for tasks like math and coding, with only about 5,000 individuals managing internal AI systems. Karpathy attributes this disparity to the scale of the problem, accessibility issues, and the concentration of AI capabilities in digital and verifiable domains. AI

IMPACT Highlights the significant disparity in AI tool adoption, suggesting a large portion of the global population remains largely untouched by advanced AI.

RANK_REASON The item is an opinion piece by a notable AI figure discussing AI adoption trends.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Andrej Karpathy: AI adoption gap widens significantly

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2 / 100
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Commentary
The item is an opinion piece by a notable AI figure discussing AI adoption trends.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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opinion, other
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High
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 한국어(KO) · [email protected] ·

    Andrej Karpathy diagnosed that the AI utilization gap is widening like a steep 'funnel'. About 6 billion people have hardly encountered LLMs, and 1 to 2 billion people use free chatbots intermittently. About 20 million people professionally use cutting-edge LLMs for math and coding, and about 50 million handle internal systems.

    안드레이 카파시는 AI 활용 격차가 가파른 ‘깔때기’처럼 커지고 있다고 진단했다. 약 60억 명은 LLM을 거의 접하지 못했고, 10억~20억 명은 무료 챗봇을 간헐적으로 이용한다. 수학·코딩에 최첨단 LLM을 전문적으로 쓰는 사람은 약 2천만 명, 내부 시스템을 다루는 이는 약 5천 명에 불과하다. 문제 규모와 접근성, 디지털·검증 가능한 분야에 집중된 AI 역량이 격차를 키운다는 분석이다. https:// aifront-page.com/andrej-karpat hy-ai-divide-llm-u…

    LINKS aifront-page.com/andrej-karpathy-ai-divid…

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