Don’t wanna be that guy, but: You misspelled Microslop.

Ok, I like that attitude, but could you go into more detail? AFAIK hardware wise the samsung will likely be better in every way I think?

reasonably well

hmm not in my experience, if you don’t care about code-quality you can quickly prototype slop, and see if it generally works, but maintainable code? I always fall back to manual coding, and often my code is like 30% of the length of what AI generates, more readable, efficient etc.

If you constrain it a lot, it might work reasonably, but then I often think, that instead of writing a multi-paragraph prompt, just writing the code might’ve been more effective (long-term that is).

plan it correctly and the actual implementation of the correct plan will take no time at all.

That’s why I don’t think AI really helps that much, because you still have to think and understand (at least if you value your product/code), and that’s what takes the most time, not typing etc.

it‘s just different.

Yeah it makes you dumber, because you’re tempted to not think into the problem, and reviewing code is less effective in understanding what is going on within code (IME, although I think especially nowadays it’s a valuable skill to be able to review quickly and effectively).

Unfortunately it’s a general theme in Open Source. I lost almost all motivation for programming in my free-time because of all these AI-slop(-PRs). It’s kinda sad, how that Art (among others) is flooded with slop…

No it’s not entirely clearly defined. But a few elements appear in all of them: Anti- communism/socialism, dictator, far-right idiologies, nationalism…

I wouldn’t say any if these are desired by leftism, or rather opposites.

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The problem though (with AI compared to humans): The human team learns, i.e. at some point they probably know what the mistake was and avoids doing it again. AI instead of humans: well maybe the next or different model will fix it maybe…

And what is very clear to me after trying to use these models, the larger the code-base the worse the AI gets, to the point of not helping at all or even being destructive. Apart from dissecting small isolatable pieces of independent code (i.e. keep the context small for the AI).

Humans likely get slower with a larger code-base, but they (usually) don’t arrive at a point where they can’t progress any further.

I’d still call it extrapolation, it creates new stuff, based on previous data. Is it novel (like science) and creative? Nah, but it’s new. Otherwise I couldn’t give it simple stuff and let it extend it.

As audiophile as I am (own very expensive (> 1k) headphones for instance) and additionally I’m musician/producer.

I don’t think you can hear the difference between 320kbit bitrate vs flac in a blindtest (this is important, to avoid biasing yourself). I could notice what was a 128kbit mp3 and flac in a blindtest and already that was minimal (and is likely mostly related to the 16k cut-off of 128kbit mp3), but 320kbit, nope…

If you notice a difference it likely has to do with different mastering/LUFS etc. not the compression artifacts themself.

Too bad, that long-term users still kind of decide the fate of the company (as shareholders at some point realize that their share probably is not worth it).

I’m really keen to see when this happens to Tesla, I’m thinking about shorting the stock, it’s so vastly overvalued, and there’s strong competition and sales are crashing everywhere (because of too much Nazi)

it will work for 99,9% without any flaw

Unfortunately not anymore.

And it doesn’t help, that Mozilla is also slowly turning towards enshittification… (since they fired all servo devs…)