zlacker

>>orph+(OP)
Can any users give their opinion on how it's helping their productivity? What problems are they finding, if any?

>>ipnon+V5
I only played around with it on OpenAI but it's the same model as far as I know. It's pretty good at regurgitating algorithms it's seen before. It's not good at all at coming up with new algorithms.

It's very good at translating between programming languages, including pseudocode.

It can write a lot more valid code much quicker than any human, and in a whole slew of languages.

I haven't had the urge to use it much after playing around with it constantly for a few days, but it was pretty mind-blowing.

>>etaioi+E9
Your response makes me wonder if poisoning the well is possible by submitting code to Github with multiple languages and coding styles. A single file with a function signature written in Javascript and the body written in Python + Ruby. Enough code would surely break the AI model behind it. Unless Copilot has some sort of ingestion validation which wouldn’t surprise.

>>yeptha+Ja
Probably but you would have to submit an absurdly large amount of code to make a dent. Practically unreasonable considering their training corpus is also increasing per lines of public code submitted on github.

So not only would you have to submit a insanely large amount of code but you're also racing against literally millions of users writing legitimate code at any period of time.

>>stu2b5+Cc
> Probably but you would have to submit an absurdly large amount of code to make a dent.

So how about an already poisoned well. How up to date is the average Github project on encryption standards?