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@harold@mastodon.social

2026-06-01 23:08 UTC

RE: https://mstdn.ca/@teledyn/116652708401285794 "every single warning that paper made about large language models has now happened at scale" 1. The hallucination problem before anyone had a word for it. 2. Bias amplification 3. Environmental cost 4. Documentation — the training datasets being assembled were too large for anyone to actually audit #AI #GenAI

Replies (3)

  • @zl2tod@mastodon.online 2026-06-02 00:15

    @harold@mastodon.social @timnitGebru@dair-community.social walks among us.

    Open ##5001851

  • @AmenZwa@mathstodon.xyz 2026-06-02 00:33

    @harold@mastodon.social All the ills Ms. Gebru’s paper identified have come to fruition in an alarmingly short period, even when measured by the spasmodic cycles of the IT industry. In just a handful of years, the following troubling trends have emerged in the industry: • AI has eroded the professionalism and ethics of the very practitioners who profess to be AI experts • AI has replaced the in-mind knowledge repository with the by-chat information lookup • AI has transmogrified itself from being just a tool of the intellectual to being the religion of the indolent These might well be the signs that IT, as a field of practice, is no longer a human endeavour.

    Open ##5001855

  • @harold@mastodon.social Well yes, but just look at her. She’s not a mediocre white man so how are we expected to take her seriously?

    Open ##5001857