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)

good god if this place isn’t unfunny as hell

I think c/lemmyshitpost quite funny, at least the posts itself, not sure about the comment-section…

leads to me getting exceedingly riled up by politics

Fair enough I think it’s also way to overloaded with the depressing evolution of american politics…

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…)

Right, but you can also create accounts on different instances, so not really protected. Actually I think it’s very difficult to really filter bots when they’re done right, especially in times where LLMs start to be increasingly more popular.

Yeah though I think it’s a little bit too political at times. I get it, Trump and Musk is destroying the USA from within, but I don’t need to read about it in every second post…

My fear is that, if lemmy gets too successful, that regarding bots the same fate may occur.

Oh in practice it works quite well for me, basically all my friends and family use Signal now. You can slightly push them towards that, explain the obvious pros, it’s simple to install, so it’s just a small matter of convincing. I only rarely use WhatsApp for some external groups.

But it’s still far more political here…

Even if you don’t take profit off the list, it could well be that he had more financial success in these other companies because he uses twitter as promotion and propaganda platform…

I’ve got news for you: basically every app I’ve used so far for lemmy has infinite scroll. Currently Thunder previously Sync.

As you’re being unkind all the time, let me be unkind as well :)

A calculator also isn’t much help, if the person operating it fucks up. Maybe the problem in your scenario isn’t the AI.

If you can effectively use AI for your problems, maybe they’re too repetitive, and actually just dumb boilerplate.

I rather like to solve problems that require actual intelligence (e.g. do research, solve math problems, think about software architecture, solve problems efficiently), and don’t even want to deal with problems that require me to write a lot of repetitive code, which AI may be (and often is not) of help with.

I have yet to see efficient generated Rust code that autovectorizes well, without a lot of allocs etc. I always get triggered by the insanely bad code-quality of the AI that just doesn’t even really understand what allocations are… Arghh I could go on…

Yes, I know, I tried all kinds of inputs, ways to query it, including full code-bases etc. Long story short: I’m faster just not caring about AI (at the moment). As I said somewhere else here, I have a theoretical background in this area. Though speaking of, I think I really need to try out training or refining a DeepSeek model with our code-bases, whether it helps to be a good alternative to something like the dumb Github Copilot (which I’ve also disabled, because it produces a looot of garbage that I don’t want to waste my attention with…) Maybe it’s now finally possible to use at least for completion when it knows details about the whole code-base (not just snapshots such as Github CoPilot).

You’re just trolling aren’t you? Have you used AI for a longer time while coding and then tried without for some time? I currently don’t miss it… Keep in mind that you still have to check whether all the code is correct etc. writing code isn’t the thing that usually takes that much time for me… It’s debugging, and finding architecturally sound and good solutions for the problem. And AI is definitely not good at that (even if you’re not that experienced).

So unreliable boilerplate generator, you need to debug?

Right I’ve seen that it’s somewhat nice to quickly generate bash scripts etc.

It can certainly generate quick’n dirty scripts as a starter. But code quality is often supbar (and often incorrect), which triggers my perfectionism to make it better, at which point I should’ve written it myself…

But I agree that it can often serve well for exploration, and sometimes you learn new stuff (if you weren’t expert in it at least, and you should always validate whether it’s correct).

But actual programming in e.g. Rust is a catastrophe with LLMs (more common languages like js work better though).

Have you actually read my text wall?

Even o1 (which AFAIK is roughly on par with R1-671B) wasn’t really helpful for me. I just need often (actually all the time) correct answers to complex problems and LLMs aren’t just capable to deliver this.

I still need to try it out whether it’s possible to train it on my/our codebase, such that it’s at least possible to use as something like Github copilot (which I also don’t use, because it just isn’t reliable enough, and too often generates bugs). Also I’m a fast typer, until the answer is there and I need to parse/read/understand the code, I already have written a better version.

DeepSeek

Yeah it’ll be exciting to see where this goes, i.e. if it really develops into a useful tool, for certain. Though I’m slightly cautious non-the less. It’s not doing something significantly different (i.e. it’s still an LLM), it’s just a lot cheaper/efficient to train, and open for everyone (which is great).

What should I expect? (I don’t do powershell, nor do I have a need for it)

confidently so in the face of overwhelming evidence

That I’d really like to see. And I mean more than the marketing bullshit that AI companies are doing…

For the record I was one of the first jumping on the AI hype-train (as programmer, and computer-scientist with machine-learning background), following the development of GPT1-4, being excited about having to do less boilerplaty code etc. getting help about rough ideas etc. GPT4 was almost so far as being a help (similar with o1 etc. or Anthropics models). Though I seldom use AI currently (and I’m observing similar with other colleagues and people I know of) because it actually slows me down with my stuff or gives wrong ideas, having to argue, just to see it yet again saturating at a local-minimum (aka it doesn’t get better, no matter what input I try). Just so that I have to do it myself… (which I should’ve done in the first place…).

Same is true for the image-generative side (i.e. first with GANs now with diffusion-based models).

I can get into more details about transformer/attention-based-models and its current plateau phase (i.e. more hardware doesn’t actually make things significantly better, it gets exponentially more expensive to make things slightly better) if you really want…

I hope that we do a breakthrough of course, that a model actually really learns reasoning, but I fear that that will take time, and it might even mean that we need different type of hardware.

I get the tech, and still agree with the preposter. I’d even go so far as that it probably worsens a lot currently, as it’s generating a lot of bullshit that sounds great on the surface, but in reality is just regurgitated stuff that the AI has no clue of. For example I’m tired of reading AI generated text, when a hand written version would be much more precise and has some character at least…