this post was submitted on 02 Sep 2023
224 points (94.1% liked)

Programming

16971 readers
163 users here now

Welcome to the main community in programming.dev! Feel free to post anything relating to programming here!

Cross posting is strongly encouraged in the instance. If you feel your post or another person's post makes sense in another community cross post into it.

Hope you enjoy the instance!

Rules

Rules

  • Follow the programming.dev instance rules
  • Keep content related to programming in some way
  • If you're posting long videos try to add in some form of tldr for those who don't want to watch videos

Wormhole

Follow the wormhole through a path of communities [email protected]



founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] -5 points 1 year ago (1 children)

I literally said what evidence could be collected.

its hilarious how we spend our careers developing complex algorithms, reducing concepts into math and then delude ourselves into thinking the only algorithm that cannot be written is one that evaluates our own performance.

[–] [email protected] 6 points 1 year ago* (last edited 1 year ago) (1 children)

Because it cannot be mathematically developed. KPIs as class of algorithm are linear dimensional reductions from a complex hyperspace to a small, arbitrary reference system built on non orthogonal axes, aimed to capture non periodic, non stationary phenomena (i.e. that unpredictably evolve over time).

Mathematically, performance kpi do not make much sense for most jobs, unless the job is so straightforward that the hyperspace has such low complexity that KPIs are meaningful representation. Not even a call center job has such mathematical characteristics...

As a task, AGI is mathematically much simpler task.

However performance kpis are the only thing many have to judge, as they lack technical and personal skills to do otherwise. It's a tradeoff, but we must recognize that kpi are oversimplifications with extreme loss of information, many time useless