This is how AI accuracy is also measured.
95.121% of the time it works everytime.
A similar experiment I did comes to mind from 3 years ago.
For the fun of it I was trying to train a few deep neural network configurations (LSTM, a few variations of FCNs, …) to trade shitcoins and downloaded 4 years of 1h candles.
The first easiest idea was to prepare the training data to fire three signals, buy, sell, do nothing (I know a terrible choice). The cost function was setup to do the simple thing and maximize the overall profit (I know an other terrible choice). Fast forward 30min of training and the final outcome is a model that outputs “do nothing” in 100% of the cases.
Just put “Precondition: x must not be prime” in the function doc and it’ll be 100% accurate. Not my fault if you use it wrong.
I am screenshoting this so it will be screenshot of a screenshot of a screenshot then post it somewhere else
It approaches 100% accuracy
You could simplify it even further by removing the int x parameter of the function…
I’ve had managers who follow that exact algorithm.
…95.121%
???It’s a decimal point, not thousands
I said something similar here about an election fraud detection system with 99.999% accuracy.
This but AI
But they are like 60-80%
“AI models have started training other AI models, by pressing The-Button-That-Trains-AI-models; this button was built 7 years ago by a bunch of online volunteers we won’t ever credit.”
But when the input is all prime numbers then the accuracy is 0.
also btw icymi, this is a post about LLMs
True
