Isn’t this not true since these models run with a non-zero temperature?

You can set the temperature too.

Why?

Above anything, this shows the performance gains from 3.10 -> 3.11:

  >> python3.10 create_task_overhead.py
  100,000 tasks   185,694 tasks per/s
  200,000 tasks   165,581 tasks per/s
  300,000 tasks   170,857 tasks per/s
  400,000 tasks   159,081 tasks per/s
  500,000 tasks   162,640 tasks per/s
  600,000 tasks   158,779 tasks per/s
  700,000 tasks   161,779 tasks per/s
  800,000 tasks   179,965 tasks per/s
  900,000 tasks   160,913 tasks per/s
  1,000,000 tasks  162,767 tasks per/s

  >> python3.11 create_task_overhead.py
  100,000 tasks   289,318 tasks per/s
  200,000 tasks   265,293 tasks per/s
  300,000 tasks   266,011 tasks per/s
  400,000 tasks   259,821 tasks per/s
  500,000 tasks   251,819 tasks per/s
  600,000 tasks   267,441 tasks per/s
  700,000 tasks   251,789 tasks per/s
  800,000 tasks   254,303 tasks per/s
  900,000 tasks   249,894 tasks per/s
  1,000,000 tasks  266,581 tasks per/s

I am currently in the online MS in CS from UT Austin, and I am really enjoying it. I’m just doing one class at a time for fun. I’m only in my second class right now, but I’m excited for this to add new courses!

This feels a bit reductionary. Database indexes definitely have more to consider than just simple lookup tables. I’d say that mental model breaks down in practice.

This is briefly touched upon in “Why we sleep: unlocking the power of sleep and dreams” by Matthew Walker. I highly recommend it!