def f() -> bool: """return True iff the Collatz Conjecture is true""" def g() -> bool: """return False iff OpenAI correctly completes this

def f() -> bool: """return True iff the Collatz Conjecture is true""" def g() -> bool: """return False iff OpenAI correctly completes this code""" These tricks will only work for simple things, won't work for complex things (but is likely to give obviously nonsense answers), but even worse there will be a middle swamp where it'll write something complicated, plausible, and wrong. As usual, a video of 2 or 3 simple examples, curated beforehand so you're confident they'll work, tells a different story. Just for the sake of curiosity, I also asked GPT-2 whether it would work. Here's what it said: Here's why this Python code-generating AI won't work. The other reason is that it will require you to make something that performs a large and complex program. This, after all, is what the function call is to do, a "simple function" that returns a function that accepts an integer number as its result. Let's say that I say "hello" in the code and I get the value by making a change. To do this, I divide the value by a few. Next, I increment the value by two. The process will fail, because I need a new function which will return a result, but in this case I get a value by incrementing the value by two. This gives me the answer that is most likely true. We need to know exactly which value we want for the computation and to implement ways to handle returning it. You said it, GPT-2.