This post was originally published on this site
There’s a lot of talk these days about how generative AI could put people out of work. Not as much thought is given to how people could put generative AI out of work. But they could — and quite possibly will.
GenAI and the foundation models on which it rests are currently at the dizzying peak of the Gartner hype cycle. If Gartner’s model is sound, those tools may be about to plunge into the “trough of disillusionment” before emerging a few years hence on a plateau of useful productivity.
There’s an argument, however, that the trough of disillusionment could swallow genAI products for good. In addition to the risks embedded in relying on what is essentially unconscious and amoral “intelligence,” users also face the very real prospects that copyright and privacy issues could mortally wound large language models (LLMs) like ChatGPT.
Let’s take those in order.
A national Do Not Scrape register?
Publishers monetize content. They do not seek to have third-parties monetize that content without permission, especially as the publishers have likely already paid for it. Professional authors monetize what they write. They too do not seek to have third-parties profit from their work with no recompense for the creator. Everything I say here about written content applies equally to graphic, video and any other creative content.
We do have copyright laws, of course, that protect publishers and authors from direct theft. Those don’t help with genAI because it crawls so many sources that the ultimate
Read more here: https://martech.org/what-could-disrupt-the-future-of-generative-ai/