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Joined 2 months ago
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Cake day: February 10th, 2025

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  • People have other options, but the easiest option is always going to be to let someone else do it. Their price is, almost always, your private data and a subscription.

    Or, you can DIY and self-host. Home Assistant is free and supports many different standards so you can use just about any hardware. It runs on your own hardware and doesn’t report to anyone unless you tell it to. It requires more effort than swiping a credit card and installing an app, however.




  • As an example, I used an old PC and purchased a PCI-E card with a bunch of SATA connections. So the cost was about $30 for the SATA card. The biggest cost was the drives, about $90 per 4TB (x5 because I’m using a ZFS raid setup).

    I’m buying 10 more 12TB drives (and 2x 2TB NVME drives) for a future expansion which is when I’ll retire my current gaming PC to be the NAS and donate the current server to whoever needs it. If you buy a dedicated device it’ll be more expensive but you won’t need to install Linux on it or configure it, they’ll usually have easy to use software accessible via a web interface. If you’re comfortable with Linux you can use just about any hardware to get you started.

    Like Xanza said, I don’t consider it part of my media server. It’s generic storage that I use for everything. Security system recordings, backups, AI models, self-hosted cloud services like NextCloud, storage for my various syncthing clients, etc.




    1. If they were leaking there would be prosecutors using the evidence in court, on the public record.

    2. It doesn’t matter what infrastructure that they use because the service provides end to end encryption. This remains secure even if a third party is able to record all of the traffic between the two devices.

    3. Has there ever been a single instance where a Signal client had a RCE exploit? Of all of the software on your phone likely to be exploited, signal is low on the list (your browser is where they get you).

    4. Enshittification is a reason to leave, speculation about maybe possible enshittification in the future is not.




  • I used 3.7 on a project yesterday (refactoring to use a different library). I provided the documentation and examples in the initial context and it re-factored the code correctly. It took the agent about 20 minutes to complete the re-write and it took me about 2 hours to review the changes. It would have taken me the entire day to do the changes manually. The cost was about $10.

    It was less successful when I attempted to YOLO the rest of my API credits by giving it a large project (using langchain to create an input device that uses local AI to dictate as if it were a keyboard). Some parts of the codes are correct, the langchain stuff is setup as I would expect. Other parts are simply incorrect and unworkable. It’s assuming that it can bind global hotkeys in Wayland, configuration required editing python files instead of pulling from a configuration file, it created install scripts instead of PKGBUILDs, etcetc.

    I liken it to having an eager newbie. It doesn’t know much, makes simple mistakes, but it can handle some busy work provided that it is supervised.

    I’m less worried about AI taking my job then my job turning into being a middle-manager for AI teams.