catdog

6 ms·

31.
by catdog 8mo ago
It's an application issue but implementation wise it's probably way more straightforward to just open a separate network connection per thread.
32.
by catdog 8mo ago
An LLM is an impressive, yet still imperfect and unpredictable translation machine. The code it outputs can only be as good as your prompt is precise, minus the often blatant mistakes it makes.
33.
by catdog 8mo ago
Yep writing the code might have gotten a little bit easier but was never was the hard part to begin with.
34.
by catdog 8mo ago
Like with most technological change I think there is no need for FOMO. You run into problems if you completely ignore already established and proven tools and practices for years to come but you don't have to jump onto every "this
35.
by catdog 8mo ago
Independent of ones philosophical stance on the broader topic: I find it highly concerning that AI companies, at least right now, seem to be largely exempt from all those rules which apply to everyone else, often enforced rigorously.
36.
by catdog 8mo ago
Also it's not only the work of "the model" it's the work of human beings the model is trained on, often illegally.
37.
by catdog 8mo ago
> The key phrase here is “requirements analysis” and if you’re not good at it either your software sucks or you’re going to iterate needlessly and waste massive time including on bad architecture. You don’t iterate the foundation of a ho
38.
by catdog 8mo ago
As it is so often in life, extreme approaches are often bad. If you do pure waterfall you risk finding out very late that your plan might not work out, either because of unforeseen technical difficulties implementing it, the given requireme
39.
by catdog 8mo ago
> A better formulation is "every feature is a liability". Taking it to the line of code level is too prescriptive. Amount of code is a huge factor but maybe not the best wording here. It's more a thing of complexity where
40.
by catdog 8mo ago
> People talk about an AI bubble. What we actually have is a GPU bubble. NVidia makes really expensive GPUs for AI. Others also make GPUs. Yes it is. I think even for multiple reasons. Competition in that space not sleeping is one but it
41.
by catdog 8mo ago
Maybe but it's far from profitable. People largely don't want to pay for it either.
42.
by catdog 8mo ago
Well they tried and they failed. In that case maybe the smartest move is not to play. Looks like the technology is largely turning into a commodity in the long run anyways. So sitting this out and letting others make the mistakes first migh
43.
by catdog 8mo ago
Maybe some/many even are? For "AI" companies it's not really a big expense in comparison and they depend hugely on keeping the hype going.
44.
by catdog 8mo ago
Exactly, other billionaires having calmer personality types does not make them less nuts.
45.
by catdog 8mo ago
I think it depends how visible the CEO is to (potential) customers, in this case very visible, he is in the media all the time.
46.
by catdog 11mo ago
There would be WebDAV which adds such features to HTTP but that's also not supported by web browsers.
47.
by catdog 1y ago
Writing the code in the grand scheme of things isn't the hard part in software development. The hard parts are architecture and actually building the right thing, something an LLM can't really help you with. It's not AI, ther
48.
by catdog 1y ago
It probably depends if they also change eating habits. If they change nothing regaining the weight is no surprise.
49.
by catdog 1y ago
Side effects? Also many might not be able to afford it long term as it's quite expensive.
50.
by catdog 1y ago
LLMs are somewhat useful compared to NFTs and other blockchain bullshit which is nearly completely useless. It will be interesting what happens when the money from the investment bubble dries out and the real costs need to be paid by the u
51.
by catdog 1y ago
I would not say all of them but in general I agree, there is not one correct one but many correct ones.
52.
by catdog 2y ago
Exactly that. Not only he got re-elected, during his first term he did bad things but what he did now while not even 2 months in office seems way worse. Also it's clearly visible that the checks and balances are now severely broken, yo
53.
by catdog 2y ago
That's not the main problem. They chose Debian Stable which by design is not and never was the best choice for bleeding edge hardware.
54.
by catdog 2y ago
Consoles use AMD GPUs for years now.
55.
by catdog 2y ago
Wouldn't say it ruined it. People used them as cheap computers because at the time there barely were good alternatives for that cheap of a computer.
56.
by catdog 2y ago
> N100 is inexpensive, has impressive performance, and can support 16+ GB RAM. Yep runs 32 GB just fine, even if not advertised. Also great Software support as usual on the PC Platform. Also more I/O, esp. PCIe than a Pi and you act
57.
by catdog 2y ago
> How to make the best of my situation? Keep going with your shitty job, gain experience and keep trying. I don't know anything about options in your specific niche but in general with some experience it's usually easier to lan
58.
by catdog 2y ago
YAML is fine, esp. compared to the huge collection of often 10x worse config formats you have to deal with in the VM world.
59.
by catdog 2y ago
Those kind of articles often read like an ad for managed cloud services. "We got rid of that complicated, complicated Kubernetes beast by cobbling together 20 bespoke managed services from provider X which is somehow so much easier&quo
60.
by catdog 2y ago
At least in Germany they usually are free for personal accounts (if not your contract is likely shit, choose a better bank). SEPA instant might cost extra or not be available but both of that will change soon due to new EU regulations.

More ›