Mirror is an entirely new concept in programming — just supply function signatures and some input-output examples, and AI does the rest.
Most general purpose programming languages nowadays are designed to be easily human readable. But with this, I now have to understand the syntax of another “programming language” in addition to the programming language it outputs. How is this helpful in any way?
There are already plenty of template generators that can generate boiletplate code with parameters. This seems like a complete waste of time.
Even as a toy language if I can’t tell what it’s doing beyond interface with an llm prompt… What good is it?
Consistency and validity of output is essentially impossible to prove, because this has all the accuracy of both humans famously bad at explaining their problems to machines who understand 80% of it.
The obvious problem is that I would have been quicker to write the function yourself than the examples.
So a chatgpt wrapper that compiles a DSL to JavaScript. Ok.
Of course it would output JavaScript. What else?
almost like a shitty prolog that won’t work half the time!
Doesn’t prolog already “not work half the time”? (Disclaimer: I haven’t used it.)
Interesting, but I never needed AI for coding. Well, twice, and I had to do changes, but would not use AI to generate code.
I use the ai daily at work. But more as an interactive docs and refactoring tool.
Could I do:
signature primes_less_than(x: number) -> [number] example primes_less_than(2) = [] example primes_less_than(10) = [ 2, 3, 5, 7 ] primes_less_than(10582319112759318014901241439012831231539517)?
I don’t pay for OpenAI, so I can’t try the playground
Ooooh, this oughta be good.
