They guard against that now by using outdated training data. Not an approach that will work more than once. I think we'd all be happier if AI output had to be marked as such.
On Mon, Jan 20, 2025 at 7:02 AM Christopher Zach via cctalk < cctalk@classiccmp.org> wrote: > As you get more ai systems running you just run into the xeroxgraphoc > effect and it all falls down > Sent from my iPhone > > > On Jan 19, 2025, at 1:11 PM, Chuck Guzis via cctalk < > cctalk@classiccmp.org> wrote: > > > > On 1/19/25 09:39, Carlos E Murillo-Sanchez via cctalk wrote: > > > >> What happened to them? They're everywhere in academic papers. They've > >> become an easy way to get published. Nowadays they make up so many bio- > >> inspired variations of these algorithms that I think that they are going > >> to run out of animal names to assign to them. Most of these publications > >> are thrash, but there are a handful of genuine applications. > > > > I recall reading that behavior predictions made by genetic algorithms > > would enable one to corner the US stock market. Of course, that was > > before 2008. > > > > --Chuck > > >
