@ELS @avuko @pseudonym Exactly this. The #AI_Slop is growing exponentially which in turn increases the slop bucket depth and size which in turn has already degraded the quality and validity of search engine results. Some estimates have put the accuracy and degradation at 20-35% *worse*. So having the exponential growth of #AI_Slop is in turn DEcreasing the accuracy and value of *search* exponentially as well. Doing all of that on *bigger and faster* machines and #LLMs will only hasten the processes in play and dramatically increase the probability of truly catastrophic outcomes and consequences.
And that is the case already in play, without bringing in all the issues raised in Bender and Hanna's recent book (mandatory reading)
The AI Con: How To Fight Big Tech's Hype and Create the Future We Want : Bender, Emily M.: Amazon.com.au: Books
The AI Con: How To Fight Big Tech's Hype and Create the Future We Want : Bender, Emily M.: Amazon.com.au: Books
(www.amazon.com.au)
My first encounter with so-called "artificial intelligence" was in 1964-5 as an undergrad psychology student in an (snail mail) exchange with one of the pioneer researchers at Stanford. I've been involved in parts of it and tracked it ever since. It is critical to understand that it has taken OVER 60 YEARS to get to the mediocre state we are now in. It didn't happen "yesterday" or even in "the last 2 years" as some snake oil #AI_Salesmen would have everyone believe.
Time to #BeCarefulWhatYouWishFor
And its now 2026...