Programming was "cooked" before the current Artificial Inference hype. I am not saying reducing the tedium is not beneficial. Where is the innovation, attribution and intelligence?
This website was made by Thomas Bloom, a mathematician who likes to think about the problems Erdős posed. Technical assistance with setting up the code for the website was provided by ChatGPT -from the FAQ
That's 1 byte smaller than `LDA #0`, but not faster. And you don't have enough registers to waste them -- being able to do `STZ` and the `(zp)` addressing mode without having to keep 0 in Z or Y were small but soooo convenient things in the 65C02.
It is either a fork or new software based on what a people really want or need. This is not an easy hill to climb.
Unfortunately, "configuration" is the survey. I detest both configuration and surveys. Modify the open source code and rip out the Artificial Inference code because Firefox is open source, or build software from scratch: servo, ladybird, your own web browser based on a survey.
Garbage in, garbage out. Beautiful code in, beautiful code out.
Code "quality" is a judgement call. Just like some LLMs, I'll repeat your question: What do you consider quality code?
I treat all code from LLM, search, stackoverflow, etc, as "sample code" that requires review and most likely modification, or writing the code from scratch. Your abilities and laziness may vary.
Also, there are reasons other than code quality not to trust LLMs.
Thank you! This is a good way to critically think about the code. Sort of like when Chegg was a thing and to answer your math homework, you'd have to adapt someone else's solution to a problem similar to yours. Easier than deriving from first principles but not quite asking your friend to do it for you.
Given that planes still have to have places for ashtrays, and that I predict battery-powered airbusses won't be a thing, I am okay with failing airlines. The Ushuaia/Cape Town railway can't come soon enough.
