They guard against that now by using outdated training data.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
> >
>

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