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Plus knowing how most companies operates, there are all kinds of secrets, API key and others in the repo that needs to be thoroughly removed before releasing to the public.
Plus knowing how most companies operates, there are all kinds of secrets, API key and others in the repo that needs to be thoroughly removed before releasing to the public.
It’s not what free market is though. Which is what capitalists pretend they are for.
If the issue was cost, you would build schools. A better educated population get less sick, earns more and thus pays more taxes, commit way less crimes, get less social welfare, in short it is a net gain in tax dollars.
Plus, someone who gets out of jail with a big debt will very likely cost way more to society than what could ever be recovered from them.
There are probably a hundred time more Java developers than rust developers. I think that is the whole point of choosing Java.
Medical use is absolutely revolutionary. From GP’s consultations to reading tests results, radios, AI is already better than humans and will be getting better and better.
Computers are exceptionally good at storing large amount of data, and with ML they are great at taking a lot of input and inferring a result from that. This is essentially diagnosing in a nutshell.
You can’t but some parser allow them. But those that do do not respect the standard.
Very far from reprogramming though. The general shape of the NN doesn’t change, you won’t get a NN made to process images to suddenly process code just by training it.
That is a great quality post! Congratulations and thank you
Your home network is not too shabby either ;)
Dashy is great : easy to install, easy to configure, and it comes with a lot of integrations with different services, so you can put a lot of things on your dashboard, not just links to your apps.
What theme do you use for your dashboard? It looks really nice!
We use nextcloud where I work, it is a smaller company (less than 100 people) but it works just fine.
I have a VPS that uses 1GB of RAM, it has 6-7 apps running in docker containers which isn’t the most ram efficient method of running apps.
A light OS really helps, plus the most used app that uses a lot of RAM actually reduce their consumption if needed, but use more when memory is free, the web browser. On one computer I have chrome running with some hundreds of MB used, instead of the usual GBs because RAM is running out.
So it appears that memory is full,but you can actually have a bit more memory available that is “hidden”