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Our Business/Legal Reasons (cont'd): - There is no guarantee AI output does not infringe copyrights/trademarks. - Business processes outsourced to AI risk future price gouging and service outages/cancellations by AI providers. 4/12

Daniel Fedor

25 июл., 01:42

Practical/Quality Reasons - AI output is not guaranteed to be accurate or to work. - Verifying AI output requires human review time. - Verifying AI output requires expertise equal to or greater than that required to generate the output manually. 5/12

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Sylvia | Comms open!

25 июл., 18:33

That last one!!

Daniel Fedor

25 июл., 01:42

Practical/Quality Reasons (cont'd) - AI output cannot be trusted or vetted by reputation, unlike a human creator, because AI output is not consistent enough from instance to instance. 6/12

Ответ для Daniel Fedor

Daniel Fedor

25 июл., 01:42

Moral/Ethical Reasons - Data used in training AI may not have been obtained legally. - Data scraping to train AI burdens content hosts unfairly. - Training and operating AI increases demand on municipal water. - And municipal power. - And local real estate. - And the cost of computer hardware. 7/12