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English(EN) @ yaelwrites This hits really close to home. Even in Europe... Just wrote a bunch of applications. Every Workday/someOtherProduct instance the same LLM slop for

AI生成内容泛滥求职申请,用户感到沮丧

一位用户对求职申请中AI生成内容的普遍存在表示沮丧,指出许多平台使用类似的LLM生成回复。他们怀疑这是为了数据收集或夸大内部招聘统计数据。该用户还提到,由于AI在招聘过程中的广泛使用,他们不再写求职信。 AI

影响 AI在招聘中的广泛使用可能导致不人性化且可能具有误导性的申请流程。

排序理由 用户对AI在招聘中的应用发表意见。

在 Mastodon — sigmoid.social 阅读 →

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

AI生成内容泛滥求职申请,用户感到沮丧

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
用户对AI在招聘中的应用发表意见。
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, opinion
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
Standard
On-topic for AI-industry coverage; kept in the public index.
Story freshness
76 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    yaelwrites 这句话说得太对了。即使在欧洲……我刚写了一堆申请。每个Workday/某个其他产品实例都是同样的LLM垃圾内容

    @ yaelwrites This hits really close to home. Even in Europe... Just wrote a bunch of applications. Every Workday/someOtherProduct instance the same LLM slop for a "One-Click application". God, I wish there was a central instance where I could manage my profile once. Still have "U…