From: peter.luschny@gmail.com   
      
   > > > 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."   
      
   --- SoupGate-Win32 v1.05   
    * Origin: you cannot sedate... all the things you hate (1:229/2)