Yes, I too have found different AIs to be helpful at times and also fabricating 
MVS commands that don’t exist. And yes, when I push back enough it may admit it 
had extrapolated from other commands.

My question is, given that there is a lot of AI power and success in some 
areas, why not in z/OS, etc.?

What is IBM doing in this space?
I’ve heard a little about Watsonx. Surely, if IBM wanted to, they could make a 
powerful and useful instance around mainframe products.

I don’t see it replacing IBM Support, but it could ingest manuals and other 
knowledge, making it easy to find the syntax for that obscure command with 
examples.

Giving advice on how to implement and tune things for a given shop would be 
limited. IBM Support treads softly in some of these areas.

But if a Junior SysProg could find an answer to specific question without 
having to spend hours in manuals, that should help with the knowledge 
retirement issues.

Bob
Sent from [Proton Mail](https://proton.me/mail/home) for iOS

On Sun, May 25, 2025 at 8:04 PM, Seymour J Metz <[[email protected]](mailto:On 
Sun, May 25, 2025 at 8:04 PM, Seymour J Metz <<a href=)> wrote:

> Don't judge what AI will eventually be able to do by current artificial 
> stupidity engines.
>
> --
> Shmuel (Seymour J.) Metz
> http://mason.gmu.edu/~smetz3
> עַם יִשְׂרָאֵל חַי
> נֵ֣צַח יִשְׂרָאֵ֔ל לֹ֥א יְשַׁקֵּ֖ר
>
> ________________________________________
> From: IBM Mainframe Discussion List <[email protected]> on behalf of 
> Andrew Rowley <[email protected]>
> Sent: Sunday, May 25, 2025 7:51 PM
> To: [email protected] <[email protected]>
> Subject: Re: RTFM
>
> External Message: Use Caution
>
> On 26/05/2025 9:15 am, Lennie Bradshaw wrote:
>> Wrong answers can be challenged in AI. You can ask AI where the references 
>> come from. You can suggest alternatives and get a changed response. This 
>> isn't just a better google. This is useful to me. Work with the AI and 
>> together you can work out things that are difficult on your own.
> I'm not saying it can't be useful. But it produces wrong answers with
> equal confidence as correct answers. If you know enough to challenge the
> wrong answers that's OK. But it's used in lots of situations where
> people won't recognize the wrong answers.
>
> The success of AI is based on situations where people want convincing
> answers quickly and cheaply but don't care whether they are correct e.g.
> customer support. I don't think that's going to have good results long
> term...
>
> --
> Andrew Rowley
> Black Hill Software
>
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