prehensile_dick
prehensile_dick t1_j8zan8s wrote
Reply to comment by BronzeArcher in [D] What are the worst ethical considerations of large language models? by BronzeArcher
I feel like the ethical issues pertaining to bias and toxic content can be (and are being) worked on. The collection of the training data and attribution problem seem more intractable and companies are already being sued for that.
prehensile_dick t1_j8z0dgl wrote
Corporations scraping all kinds of copyrighted materials and then profiting off the models while the people doing all the labor are getting either nothing (for content generation) or poverty wages (for content labellers).
Their current push to promote LLMs as some sort of pinnacle of technology, when they barely have any legitimate use-cases and struggle with the most basic of logic, will probably lead to a recession in the tech industry.
prehensile_dick t1_j8a37r0 wrote
Reply to [R] DIGIFACE-1M — synthetic dataset with one million images for face recognition by t0ns0fph0t0ns
wow you can barely tell they are fake /s
prehensile_dick t1_j70q17q wrote
This "its taking our jerbs" hysteria reminds me of the fear of immigration
prehensile_dick t1_j8zdhy9 wrote
Reply to comment by Diligent_Ad_9060 in [D] What are the worst ethical considerations of large language models? by BronzeArcher
Not specifically about that suit, but the Legal Eagle episode about copyright and AI was really interesting. The relevant part starts at 5:03