> > > Derive 6.10 is 20 years old and its mathematical engine was
> > > implemented by two people. Wonder how many people worked on Maple
> > > and Mathematica over the past 20 years.
> > That may not have been meant as an explanation, but maybe it is the
> > explanation.
> Your remark seems to require an explanation.
Well, if you insist. But I wanted to know if at least ChatGPT understands me.
Here is its answer:
"Generally speaking, as complexity increases, so does the potential
for error rate. This is because complexity introduces more potential
points of failure or sources of error.
"In other words, the more complex a system, process, or task is,
the more difficult it may be to manage, monitor, and control,
and the greater the likelihood that mistakes will be made.
"For example, if a software program has many lines of code,
there are more opportunities for bugs or errors to be introduced.
"Similarly, if a manufacturing process involves many different
components or steps, there are more chances for something to
go wrong. On the other hand, a simpler system or process may
have fewer potential sources of error and may therefore be more reliable."
As I am writing this I read the news: "Maiden flight of
SpaceX's Starship rocket ends in explosion."