Re: [xsl] bad code Re: Subject: ChatGPT results are "subject to review"

["Dimitre Novatchev dnovatchev@xxxxxxxxx" <xsl-list-service@xxxxxxxxxxxxxxxxxxxxxx>]

> Which begs the question, how might the xsl-list archives be ...
>   declared / converted / made available (whatever) as training data?
 >  And for this set (minor drawback), how to extract the 'eventual'
> solution from others proffered in error?

This isn't just "minor". People who analyze the current state of AI have
pointed out an emerging and possibly growing problem for AI:

"The AI boom might be approaching a flashpoint where these models canbt
avoid consuming their own output, leading to a gradual decline in their
effectiveness. This will only be accelerated as AI-generated content
perfuses the internet over the coming years, making it harder and harder to
source genuine human-made content."

from:

"AI Is Facing A Seriously Huge Problem
The AI echo chamber has started to ring.",
Will Lockett

https://medium.com/predict/ai-is-facing-a-seriously-huge-problem-a56733e5ef47



On Fri, Jul 7, 2023 at 6:35b/AM Dave Pawson dave.pawson@xxxxxxxxx <
xsl-list-service@xxxxxxxxxxxxxxxxxxxxxx> wrote:

> On Fri, 7 Jul 2023 at 14:26, Dorothy Hoskins dorothy.hoskins@xxxxxxxxx
> <xsl-list-service@xxxxxxxxxxxxxxxxxxxxxx> wrote:
> ...
>
> From what I see in the list of ChatGPT Code languages, it wasn't
> specifically trained on XSLT, so someone who builds their own training
> set will get better results. You folks probably have the best training
> examples in the world in the xsl-list.)
>
> Which begs the question, how might the xsl-list archives be ...
> declared / converted / made available (whatever) as training data?
>   And for this set (minor drawback), how to extract the 'eventual'
> solution from others proffered in error?
>
> >
> > I don't think there's any going back, so the chances of people creating
> code that won't run, that they can't debug themselves and which ChatGPT may
> not provide the correction required if prompted, is high.
>
> And from your earlier comments, the more experience in writing xslt,
> the more likely you'll arrive at a solution using AI?
>
> >
> > Michael, I wonder what "nasty accidents" you are thinking of -- some
> XSLTs used in particular industries with real-world safety issues? Maybe we
> can start to create some advice for clients on QA and testing protocols.
>   Is it logical to say that chatGPT will be just as easy to trip up as
> the man on the Clapham omnibus?
>
> regards
>
> ps. Tried google.bard with UK braille. Bit of a dogs breakfast.
>
>
>
>
>
>
>
> --
> Dave Pawson
> XSLT XSL-FO FAQ.
> Docbook FAQ.