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Paper argues AGI is mathematically impossible, citing flawed benchmarks

By PulseAugur Editorial · [1 sources] ·

A new paper argues that artificial general intelligence (AGI) is mathematically impossible, challenging common arguments based on universal approximation theorems and the Church-Turing-Deutsch principle. The authors contend that complex human intelligence cannot be fully modeled by computers, and they critique current benchmarks for AGI, citing issues like training data contamination and flawed test construction. Their central thesis is that models capable of cognitive behavior in open-ended, complex environments are not achievable. AI

IMPACT Challenges the feasibility of AGI, suggesting current benchmarks may be misleading.

RANK_REASON The cluster contains an academic paper discussing theoretical limitations of AI. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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

Paper argues AGI is mathematically impossible, citing flawed benchmarks

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18 / 100
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The cluster contains an academic paper discussing theoretical limitations of AI. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Jobst Landgrebe, Barry Smith ·

    Why machines will still not rule the world

    arXiv:2610.11424v1 Announce Type: new Abstract: In our book Why machines will never rule the world [13, 14] we argue that arti- ficial general intelligence is mathematically impossible. This is because the human beings and the processes which exhibit intelligence are complex syst…

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