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English(EN) Our model is correct 70% of the time. 10 decisions: 7 correct, 3 wrong. I fired everyone who documented the 3 wrong ones. We now have 7 for 7. My board asked: h

CEO声称通过解雇记录错误的员工提高了AI的准确性

一位CEO声称,通过解雇记录了错误决策的员工,他们的人工智能模型的准确性得到了提高。这位CEO表示,模型的实际性能并未改变,但通过删除错误记录,感知到的成功率增加了。据报道,这种方法被公司董事会视为富有远见的。 AI

排序理由 该条目描述了一位CEO在人工智能绩效报告方面采取的非传统且可能不道德的做法,这更多的是一种评论或轶事,而不是事实上的行业发展。

在 Mastodon — fosstodon.org 阅读 →

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CEO声称通过解雇记录错误的员工提高了AI的准确性

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0 / 100
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Newsworthiness bucket
Meme
该条目描述了一位CEO在人工智能绩效报告方面采取的非传统且可能不道德的做法,这更多的是一种评论或轶事,而不是事实上的行业发展。
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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
opinion, other
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Standard
On-topic for AI-industry coverage; kept in the public index.
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Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

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报道来源 [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Our model is correct 70% of the time. 10 decisions: 7 correct, 3 wrong. I fired everyone who documented the 3 wrong ones. We now have 7 for 7. My board asked: h

    Our model is correct 70% of the time. 10 decisions: 7 correct, 3 wrong. I fired everyone who documented the 3 wrong ones. We now have 7 for 7. My board asked: how did you improve model accuracy? I said: I didn't. I improved institutional memory. They called this visionary. I agre…