> On 04/03/2025 5:37 PM EDT Chuck Guzis via cctalk <[email protected]>
> wrote:
>
>
> On 4/3/25 14:21, John Foust via cctalk wrote:
> > At 10:22 PM 4/1/2025, Chuck Guzis via cctalk wrote:
>
> > In another task where I wanted to quickly generate a text-based
> > profile of a computer's specifications and components, it was very
> > helpful in writing a bunch of PowerShell. Did it hallucinate?
> > Perhaps once out of several dozen things I asked it, and in that
> > case, it was easy to see that the two clauses of the if-then were
> > the same.
>
> Interesting. I got no help at all from ChatGPT when working through
> some IBM 7090 code.
>
> --Chuck
My experience has been much like John's. In my company of 10,000 ish
employees, the entire company is "strongly encouraged" to use various "AI"
tools made available. The encouragement comes directly from the CEO (and all
his minions echo it) during his monthly video addresses.
So, all of us who write code have copilot licenses and they actually track how
much we use it (can you say layoff? I knew you could.) What I have found is
that the short suggestions of a half dozen lines or more are often pretty good.
It's the bad ones I have to fight the system to NOT take that eat up the time.
I usually could have just written those half dozen lines faster. But
sometimes it helps a lot. Apparently it tracks names and kind find the correct
variable or constant faster than I could. A couple of coworkers have given a
good description: good for boilerplate code.
As for chatgpt not doing well, I suspect that is largely due to it being a
general purpose "question answerer" rather than a tool specifically for
programming. I know of at least one person who did, however, get hired based
mostly on code written by chatgpt. But he didn't last long.
Will
