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Have We Reached AGI? Comparing ChatGPT, Claude, and Gemini to Human Literacy and Education Benchmarks

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arxiv 2407.09573 v1 pith:DMV5Z5KF submitted 2024-07-11 cs.AI cs.LG

classification cs.AIcs.LG
keywords benchmarkschatgptclaudeeducationeducationalgeminihumanliteracy
verification ladder T0 review T1 audit T2 compute T3 formal
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Recent advancements in AI, particularly in large language models (LLMs) like ChatGPT, Claude, and Gemini, have prompted questions about their proximity to Artificial General Intelligence (AGI). This study compares LLM performance on educational benchmarks with Americans' average educational attainment and literacy levels, using data from the U.S. Census Bureau and technical reports. Results show that LLMs significantly outperform human benchmarks in tasks such as undergraduate knowledge and advanced reading comprehension, indicating substantial progress toward AGI. However, true AGI requires broader cognitive assessments. The study highlights the implications for AI development, education, and societal impact, emphasizing the need for ongoing research and ethical considerations.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. The Impossible Test: A 2024 Unsolvable Dataset and A Chance for an AGI Quiz

    cs.CL 2024-11 reject novelty 6.0 of 10

    A new benchmark of 675 unsolvable questions finds that leading LLMs often fail to admit ignorance, scoring 62-68% even when 'I don't know' is the only correct choice.

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