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


