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Joined 2 months ago
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Cake day: August 14th, 2025

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  • Docker and docker compose should work within macos, or not? (its a unix after all) you could setup a test environment there (jellyfin, navidrome, nextcloud and the like). I’m not sure which iMac… they use arm and RISC processors in some of them I heard. It is possible you won’t find docker-images which are made for these processors. Amd64 (Intel, amd) is the least problematic in this regard.

    For always on services (like filesharing or nas) a low power device would be good (a used raspberry. or celeron n powered all-in-one device if you want to have an UEFI capable and amd64 compatible platform with sata, more LAN ports and m.2.)

    VPN and maybe a parrot are recommended too. ;)

    Edit:
    For streaming maybe a VPN / anonymizing proxy is sufficient. In some countries even this shouldn’t be necessary but it doesn’t hurt. If you pay for illegal streaming they might catch you via the money trail when the platform is seized. But i doubt it that they care about the customers, they should just be after the providing party.



  • If your box isn’t globally addressable (because of NAT), your box can’t be connected to. It works one way only, from the inside out - because the NAT-router keeps track of the connections your box makes to globally addressable hosts and forwards reply packages back to your box.

    You could use IPv6 which because of the vast amounts of ipv6-addresses, eliminates the need for NAT. Or you could use a VPN or a tunneling service which gives you a dedicated IP. Or port forwarding from a globally addressable host. Either self hosted or as a service. Switch to an ISP which doesn’t do CGNAT.

    In short: ipv6 is easiest.:)

    Edit: does anybody know if a non addressable seed box gets info about interested and globally addressable peers somehow (either tracker or tracker-less) so it can initiate a TCP connection to those peers? Are there resources to read up in that topic?








  • I mean the automatic speech recognition and transcription capabilities are quite useful. But that’s about it, for me for now.

    It could be interesting for frame interpolation in movies at some point maybe, I guess.

    I dream of using it for the reliable classification of things. But I haven’t seen it working reliably, yet.

    For the creation of abstracts and as a dialog system for information retrieval it doesn’t feel exact/correct / congruent enough to me.

    Also: A working business plan to make money with actual AI services has yet to be found. Right now it is playing with a shiny new toy and the expectations and money of their investors. Right now they fail to deliver and the investors might get restless. Selling the business while it is still massively overrated, seems like the only way forward. But that’s just my opinion.