@dckim yup
H
harold@mastodon.social
@harold@mastodon.social
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"every single warning that paper made about large language models has now happened at scale" -
"every single warning that paper made about large language models has now happened at scale"@CStamp Yes, I know
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"every single warning that paper made about large language models has now happened at scale"@zl2tod Weird!
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"every single warning that paper made about large language models has now happened at scale" -
"every single warning that paper made about large language models has now happened at scale"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 -
Never have I screamed aloud YES YES and pumped my fist in agreement more at something @siracusa has written than this https://hypercritical.co/2026/05/29/ev-stupidity-checklist -
A while back, a man in his 70s looked at my bike skeptically.@straphanger + It's a Bianchi!
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Fuck, fuck, fuck #AIFuck, fuck, fuck #AI
Just read the first few amended paragraphs on my blog post that I wrote today
https://jarche.com/2026/05/organizational-knowledge/
I give up!