start with basics:
iperf on every device you can between an external device and your internal host(s) and use it to find any bottleneckstcpdump to analyze packets flowing over the network. you can often find surprising results this wayiperf) with the most simple config (no nginx etc) and add the complexity of your config bit by bit until the issue returnsjust a guess, but in order for an LLM to generate or draw anything it needs source material in the form of training data. For copyrighted characters this would mean OpenAI would be willingly feeding their LLM copyrighted images which would likely open them up to legal action.
open source software getting backdoored by nefarious committers is not an indictment on closed source software in any way. this was discovered by a microsoft employee due to its effect on cpu usage and its introduction of faults in valgrind, neither of which required the source to discover.
the only thing this proves is that you should never fully trust any external dependencies.
i could see the utility in an AI generated summary of a given commit, but generating it as the message is just lazy.
the diff can tell me everything i need to know about the commit, the message is supposed to tell me why it’s a commit at all.
assuming you have a GNU toolchain you can use the find command like so:
find . -type f -executable -exec sh -c '
case $( file "$1" ) in (*Bourne-Again*) exit 0; esac
exit 1' sh {} \; -print0 | xargs -0 -I{} cp {} target/
This first finds all executable files in the current directory (change the “.” arg in find to search other dirs), uses the file command to test if it’s a bash file, and if it is, pipes the file name to xargs which calls cp on each file.
note: if “target” is inside the search directory you’ll get output from cp that it skipped copying identical files. this is because find will find them a free you copy them so be careful!
note 2: this doesn’t preserve the directory structure of the files, so if your scripts are nested and might have duplicate names, you’ll get errors.
why use docker here? you’re just adding layers of abstraction in an environment that can’t seem to really support them.
that said, switching to 32bit linux, if the VPS supports it, will save you memory.
you need to look at the routing tables on your computer. these tables store the prioritized rules for how packets leave your host machine.
it might be that something is adding rules, or, there is some overly broad rule taking priority (like a rule that says all 10.0.0.0/8 traffic go to your home router over 192.168.69.0/24, etc)
it’s also suspect that you can reach the NAS over the 1gb card. That to me means one of two things:
ultimately, i suggest you run something like tcpdump or wireshark on your computer (ideally on the NAS too) so you can start to visualize how the packets are being addressed and transferred over your networks.
sincerely, a fellow 10.0.69.0/24 enjoyer
I realize I’m late to this thread, but if you’re serious about archiving a VHS in the best manner possible, you have to go the RF capture route: https://github.com/oyvindln/vhs-decode
This method effectively captures the “raw” signal stored on the tape, allowing you to convert it after you’ve captured it however you see fit. You don’t have to worry about cheap digitizers/capture cards/etc distorting the signal.
no, and that’s be a pretty bad idea, you’re opening up all your internal hosts to the public internet.
a VPN is specifically designed to keep all your internal hosts off the public internet. When you authenticate with the VPN server the remote device you are using effectively “joins” the internal network, using the VPN to act like a tunnel between you and your network.
it has the benefits of better security as well as the fact that once you set it up, you can access any services you host, not just HTTP ones.
Microsoft creates secure boot: “we should be able to run whatever we want on our hardware!”
Microsoft lets users install crowdstrike on their computer: “Microsoft shouldn’t let us run this on our hardware!”