it would be clearer to say that it is stochastically accurate

The output is not the output of the algorithm, it's the output of the unit test.

95% of numbers up to that point at not prime. Testing the algorithm that only says "not prime" is therefore correct 95% of the time. The joke is that, similar to AI, the algorithm is being presented as a useful tool because it's correct often but not always.

that's the joke, since most numbers aren't prime, this function is technically highly accurate despite being completely useless.

The test suite probably looks something like this:

int tests_passed=0;
int tests_failed=0;
for(int i=0;i<100000;i++){
    printf("test no. %d: ", i);
    if(is_prime(i)==actually_is_prime(i)){
        printf("passed\n");
        tests_passed++;
    }else{
        printf("failed\n");
        tests_failed++;
    }
}
//...

So elegant! This is too valuable for GitHub, sell this directly to the Saudi government.

"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."

Not even adding some watermark? smh

ifunny

True

also btw icymi, this is a post about LLMs