

I do this for a server in my LAN. I use DHCP+TFTP to boot grub over the network via PXE, and then grub boots the Kernel with the root pointing to a NFS share:
menuentry 'GNU/Linux NFS' --class gnu-linux --class gnu --class os {
load_video
set gfxpayload=keep
insmod gzio
insmod part_msdos
insmod part_gpt
insmod fat
echo 'Loading kernel ...'
linux <TFTP Root>/vmlinuz root=/dev/nfs ip=dhcp nfsroot=<NFS Server IP>:/export/rootfs/<Root Dir> rw loglevel=6 threadirqs
}
Doing this makes managing that installation much easier. It’s just a directory that lives on the Main Server.
I don’t even need to boot the other Server to update the software in it, chroot is enough. And I don’t even have to worry about doing separate backups,
because I already back up the Main Server’s Storage regularly.







I’ve messed with neural nets over a decade ago and ever since I realized their limitations back then I’ve lost all interest.
It can never outgrow its own boundaries. If you train one too much then its output will just be the literal training data with some error, but never anything better, no matter how much data you throw at it.
That alone has always made the ideas that it can “create” things or “think”/“solve problems” absolutely ridiculous to me.
I’ve said this before on lemmy and have gotten downvotes from it, but neural nets are much closer to something like an ASIC.
And now there actually is a company that literally makes ASIC chips that implement neural nets! ;D
I’m not denying that neural nets do have genuine uses, but the way most are being used in the 2020s just grosses me out.
Now people say that but 10+ years ago nobody cared. I had 2 chatbots talking to each other about random things that got picked from the Internet as an experiment all running 24/7 on a Pentium D PC, and whenever I showed this to someone they responded with a “uh cool.” Now these same people think they’re interacting with a “thinking” being that is capable of doing their job whenever they engage with some LLM-based bot, when in reality it’s not too different from what I had back then at its core.