What could disrupt the future

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 b2b email list 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 BTC Database US 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 output may not closely resemble just one of the individual sources (although that can happen). Right now publishers are