What is classic search? Remember that e are not the customers, we are the 
product. There was a time in the distant past when google was interested in 
accurate searches, but now its all about delivering eyeballs.

--
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 
Martin Packer <[email protected]>
Sent: Tuesday, May 27, 2025 3:54 AM
To: [email protected] <[email protected]>
Subject: Re: RTFM


External Message: Use Caution


I guess if we consider “classic search” to be unreliable this will one day not 
be any worse. And might have some utility of its own.

From my POV I’m going to concentrate on making the infrastructure workable. And 
let others do the “believing”, at least for now. So stuff around AIU 
Instrumentation and Spyre planning, perhaps.

Cheers, Martin

From: IBM Mainframe Discussion List <[email protected]> on behalf of 
roscoe5 <[email protected]>
Date: Monday, 26 May 2025 at 18:32
To: [email protected] <[email protected]>
Subject: [EXTERNAL] Re: RTFM
Yes, for those things that I know well, I don’t ask AI. And for the deep and 
individual questions such as what are the implications of setting a parameter 
to some value, AI may/not point out something, but I need to do my own work.
However, there are many things I don’t keep in my head that are documented. I 
sometimes find AI faster and better than multiple IBM manuals.

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

On Mon, May 26, 2025 at 11:17 AM, Lennie Bradshaw 
<[[email protected]](mailto:On Mon, May 26, 2025 at 11:17 AM, Lennie 
Bradshaw <<a href=)> wrote:

> Martin,
> I agree that accuracy is low. However, the ability to reason with AI is good. 
> It can be persuaded it is wrong and go and re-examine the question and its 
> sources. It can state what its sources are, and can produce other 
> suggestions. It's a bit like have a colleague to discuss the subject with; 
> except this colleague has all the references to hand immediately.
>
> Lennie
>
> -----Original Message-----
> From: IBM Mainframe Discussion List <[email protected]> On Behalf Of 
> Martin Packer
> Sent: 26 May 2025 09:49
> To: [email protected]
> Subject: Re: RTFM
>
> Periodically I test Generative AI with stuff I darned well know about. I'm 
> still unimpressed.
>
> Oh well, accuracy seems to be deprecated in favour of expedience.
>
> Cheers, Martin
>
> From: IBM Mainframe Discussion List <[email protected]> on behalf of 
> Andrew Rowley <[email protected]>
> Date: Sunday, 25 May 2025 at 23:56
> To: [email protected] <[email protected]>
> Subject: [EXTERNAL] Re: RTFM
> On 26/05/2025 3:31 am, Lennie Bradshaw wrote:
>> I have found AI to be really useful in negotiating the wealth of IBM 
>> documentation. I can ask AI a question that is pretty detailed and get a 
>> meaningful response. It is not always right, but I can then discuss it and 
>> refine it with the AI and find the correct answer.
>
> My attempts to use AI for mainframe related stuff have yielded 100% wrong 
> answers. Some have been quite convincing and taken some research to find it's 
> wrong, but still 100% wrong.
>
> Non-mainframe stuff I would say the rate is about 50%.
>
> If there's a lot of examples of something out there it maybe generates a good 
> result. But there's no actual intelligence in AI. What worries me most is 
> what happens when knowledge changes, e.g. if a new feature is developed that 
> makes old information obsolete. How does that get incorporated in the AI 
> model? Where does the training data come from, and how does the model verify 
> the reliability?
>
> --
> Andrew Rowley
> Black Hill Software
>
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