I am a Meat-Popsicle

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  • 86 Comments
Joined 1 year ago
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Cake day: June 10th, 2023

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  • Sure it’s getting cheaper, but is it getting cheaper faster than their need for it?

    I’ve always expected their business model was unsustainable probably only able to manage through venture capital and growth.

    There’s hardly even any competition, their free product is substantial. Even fully funding a server is barely enough to cover a bare metal node.

    This is just the introduction to cost savings. As they wade into market saturation, and still need to provide growth in numbers they’ll need to pinch the free users into paying and pinch the paying users into paying enough to fully fund the service. Of course it won’t stop there…

    Edit: FFS dictation can’t ‘their’ it’s way out of a wet paper bag.




  • I’m running something surprisingly close to most of what you’re asking for sans the immich which I’m waiting on stability from them first. That warning at the time of their site that says it’s under constant development and not to use it as your primary picture store is a bit worrisome.

    Unraid with 2 video cards

    • Plex Container (primary video card)
    • Plex VM (pass through secondary card handles DVR and backups and it’s also my steam remote provider)
    • Home assistant VM (running it in a VM is nicer than a container because of HAOS)
    • Jellyfin container
    • All the video services pull from the same catalog. I use jellyfin frequently but secondarily, it is my backup in case Plex heads in a direction I don’t like. They’ve already shown some indications I’m not going to like them in the future.
    • Deluge+VPN container
    • Cloudflare container (first set up is actually a pain in the ass)
    • Tailscale plugin
    • SearxNG container self-hosted search engine tool
    • Pi hole in a container
    • Pi hole on a raspberry pi

    Plex gets accessed remotely via its own remote capabilities

    Jellyfin gets accessed remotely via tailscale

    SearXNG is access remotely via cloudflare

    I have a secondary Plex server sitting on a raspberry pi with the backup pi hole

    I am preparing to set up a peertube. Haven’t had a lot of luck with the container on unraid. I run a fair amount of proxmox at work so I’ll probably just use proxmox for it.

    I run a separate dedicated system completely for my cameras. Not running frigate yet but I’ll get around to it eventually using blue iris at the moment.

    My unraid gets as much uptime as updates allow. I love being able to just jbod my media discs together and still have some protection with parity.

    I find the containerized version of Plex to be more stable than my VM version but that’s probably my own fault as I’m oversubscribing the vm.


  • Down? You’re only going to get talked up here.

    Wait till your average desktop computer has enough power to train models. Every single application out there will have a trained model and everything you’ve ever written or done. The train data set is tiny they could have it easily uploaded and then query it for marketing data against you.

    AIs lossy compression is astounding, and it’s level of error is absolutely no big deal for marketing.



  • The coolest and most frightening thing about all that is the number of books they train the models on are immense, but the model data is very tiny comparatively. And while the compression is amazingly lossy it still has an amazing amount of the data in there.

    To nvidas credit, The training models do not contain the contents of the books, but they can still tell you intimate details about the books without it being able to provide a photographic reproduction of everything in the book.

    We’ve literally created something that can analyze books in the same way that we read them and retain the same lossy levels of information. That’s honestly pretty f****** amazing.

    Obviously intellectual property laws aren’t designed for this. Hell even our concept of intellectual property isn’t designed for this. If this was a corporation that hired a thousand people to read a bunch of books and be on tap for queries about the information in those books nobody would complain. One copy of each book purchased would be enough to cover the intellectual property restrictions for this.

    Also obviously this isn’t what happened and people see money lying on the table.









  • I used to work in a company that was VC adjacent.

    Most of the people sitting on piles of money don’t have any knowledge or radar to help them negotiate where to put it. They lean heavily on other people to tell them what to invest in.

    When AI first started getting big everybody was guessing where the curve was going to be and where the technology was going to head. The people guiding the venture capitalists were putting their oars in the water early.

    To be fair there’s a lot of money to be made in AI assistants if they can manage to run the back end affordably. If you’re asking Google, Siri, and Alexa complicated questions they’re miserably fit for the task. But when we get to the point where you can expect a reasonable answer from something like look up all the places to rent cars near Tucson Arizona give me the cheapest price with the best reviews. Or tutor my kid on basic calculus, test him, and give me a report on where he needs more assistance. That kind of stuff is worth money and something that many people with money will pay for.

    This form factor is off-putting and honestly AI at this point is still only mostly right.

    The VCs are all over AI and there’s opportunity there. Just not on every product and probably not yet.