Okay seriously this technology still baffles me.

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It’s one thing to be ignorant. It’s quite another to be confidently so in the face of overwhelming evidence that you’re wrong. Impressive.

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Try getting a quick powershell script from Microsoft help or spiceworks. And then do the same on GPT

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I follow EV battery tech a little. You’re not wrong that there is a lot of “oh its just around the bend” in battery development and tech development in general. I blame marketing for 80% of that.

But battery technology is changing drastically. The giant cell phone market is pushing battery tech relentlessly. Add in EV and grid storage demand growth and the potential for some companies to land on top of a money printing machine is definitely there.

We’re in a golden age of battery research. Exciting for our future, but it will be a while before we consumers will have clear best options.

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They want you to owe your soul to the company store, to live hand-to-mouth by their largess.

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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.

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Any other AI company, and most of that would be legitimate criticism of the overhype used to generate more funding. But how does any of that apply to DeepSeek, and the code & paper they released?

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

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Why, if you automatize away (regardless of whether it's feasible or not) all the workers, what's stop them for cutting them out of the equation? Why can't they just trade assets between themselves, maintaining a small slave population that does machine maintenance for food and shelter and screwing the rest? Why do you think they still need us if they own both the means for the production as well as labor to produce? That would be a post-scarcity economy, available only for the wealthy and with the rest of us left to rot.

While I don't think that this is feasible technologically, I think this is what the rich are huffing currently. They want to be independent from us because they are threatened by us.

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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).

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I think the sentiment is the same with any code language.

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What’s this “if” nonsense? I loaded up a light model of it, and already have put it to work.

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Look at it in another way, people think this is the start of an actual AI revolution, as in full blown AGI or close to it or something very capable at least

I think the bigger threat of revolution (and counter-revolution) is that of open source software. For people that don't know anything about FOSS, they've been told for decades now that we need software is a tool you, need and that's only possible through the innovative and superhuman-like intelligent CEOs helping us with the opportunity to buy it.

If everyone finds out that they're actually the ones stifling progress and development, while manipulating markets to further enrich themselves and whatever other partners align with that goal. Not to mention defrauding the countless investors that thought they were holding rocket ship money that was actually snake oil.

All while another country did that collectively and just said, "here, it's free. You can even take the code and use it how you personally see fit, because if this thing really is that thing, it should be a tool anyone can access. Oh, and all you other companies, your code is garbage btw. Ours runs on a potato by comparison."

I'm just saying, the US has already shown they will go to extreme lengths to keep its citizens from thinking too hard about how its economic model is fucking them while the rich guys just move on to the next thing they'll sell us.

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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.

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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).

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I use C# and PS/CMD for my job. I think you're right. It can create a decent template for setting things up. But it trips on its own dick with anything more intricate than simple 2 step commands.

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If you are blindly asking it questions without a grounding resources you're gonning to get nonsense eventually unless it's really simple questions.

They aren't infinite knowledge repositories. The training method is lossy when it comes to memory, just like our own memory.

Give it documentation or some other context and ask it questions it can summerize pretty well and even link things across documents or other sources.

The problem is that people are misusing the technology, not that the tech has no use or merit, even if it's just from an academic perspective.

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Ahh. It’s overconfident neckbeard stuff then.

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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).

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Yes, I have tested that use case multiple times. It performs well enough.

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

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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).

agnos.is Forums

Okay seriously this technology still baffles me.