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English(EN) People are making the same mistake with Covid and AGI

人工智能能力增长与新冠疫情初期指数级低估相似

在新冠疫情大流行期间观察到的一种认知偏差,即人们低估了指数级增长,现在正被应用于通用人工智能(AGI)的发展。专家指出,虽然智能本身并非简单的指数级增长,但底层的AI能力,如训练算力和任务完成时间,正显示出快速的、类似指数级的增长。这种快速发展如果持续下去,可能会导致能力的大幅提升,而人们难以直观理解,这与疫情初期指数级传播被低估的情况类似。 AI

影响 低估AI的指数级进展可能导致对快速能力转变的准备不足。

排序理由 该条目讨论了一种认知偏差并将其应用于AI发展,而不是报道新的事件或发布。

在 r/singularity 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

人工智能能力增长与新冠疫情初期指数级低估相似

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该条目讨论了一种认知偏差并将其应用于AI发展,而不是报道新的事件或发布。
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报道来源 [1]

  1. r/singularity TIER_2 English(EN) · /u/banaca4 ·

    人们在新冠和AGI问题上犯了同样的错误

    <!-- SC_OFF --><div class="md"><p>There is a cognitive bias from the Covid period that I think is increasingly relevant to AI.</p> <p>Humans are bad at exponential growth.</p> <p>This isn't just an observation from watching people argue about case counts. Researchers actually tes…