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"Weak AI" is Likely to Never Become "Strong AI", So What is its Greatest Value for us?

arXiv 2103.15294 ↗First posted 29 Mar 2021cs.AIcited by 0

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Abstract (arXiv)

AI has surpassed humans across a variety of tasks such as image classification, playing games (e.g., go, "Starcraft" and poker), and protein structure prediction. However, at the same time, AI is also bearing serious controversies. Many researchers argue that little substantial progress has been made for AI in recent decades. In this paper, the author (1) explains why controversies about AI exist; (2) discriminates two paradigms of AI research, termed "weak AI" and "strong AI" (a.k.a. artificial general intelligence); (3) clarifies how to judge which paradigm a research work should be classified into; (4) discusses what is the greatest value of "weak AI" if it has no chance to develop into "strong AI".

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 12 of its 40 references that are in the map. First posted on arXiv 29 Mar 2021.

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References · 12

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
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  12. 2016Robust video object tracking via Bayesian model averaging based feature fusioncited by 2

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