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English(EN) My favorite part of this one is where Seb is talking about trying to distinguish what he wants to be true from what is true ... which is a great opening to talk

人工智能评估实践因缺乏科学严谨性而受到批评

作者 PulseAugur 编辑部 · [1 个来源] ·

Emily M. Bender 讨论了人工智能和机器学习评估的糟糕现状，并引用了 Seb 的一段视频。她强调了区分期望的真相和实际真相的重要性，并将其与科学方法联系起来。讨论涉及 Bluesky Jetstream 等需要 JavaScript 的 Web 应用程序的交互性。 AI

影响 强调了人工智能和机器学习评估中的关键缺陷，表明需要更严格、更具科学依据的方法。

排序理由 该条目是一位知名研究人员讨论人工智能评估实践的观点文章。

在 Bluesky Jetstream — AI desk 阅读 →

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

人工智能评估实践因缺乏科学严谨性而受到批评

报道来源 [1]

  1. Bluesky Jetstream — AI desk TIER_1 English(EN) · emilymbender.bsky.social ·

    My favorite part of this one is where Seb is talking about trying to distinguish what he wants to be true from what is true ... which is a great opening to talk

    My favorite part of this one is where Seb is talking about trying to distinguish what he wants to be true from what is true ... which is a great opening to talk about the scientific method and how absolutely abysmal evaluation practice is in "AI" (and honestly, much of ML).

    链接 youtube.com/watch

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