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CEO claims AI accuracy improved by firing staff who documented errors

By PulseAugur Editorial · [1 sources] ·

A CEO claims their AI model's accuracy is perceived to have improved by firing employees who documented incorrect decisions. The CEO stated that the model's actual performance remained unchanged, but by removing records of errors, the perceived success rate increased. This approach was reportedly viewed as visionary by the company's board. AI

RANK_REASON The item describes a CEO's unconventional and potentially unethical approach to AI performance reporting, which is more of a commentary or anecdote than a factual industry development.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

CEO claims AI accuracy improved by firing staff who documented errors

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Meme
The item describes a CEO's unconventional and potentially unethical approach to AI performance reporting, which is more of a commentary or anecdote than a factual industry development.
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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.
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On-topic for AI-industry coverage; kept in the public index.
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COVERAGE [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…

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