I personally use a dual core pentium with 16GB of RAM. When I first installed TrueNas (FreeNas back then), I only had 8GB of RAM, but that proved to be not enough to run all the services I wanted, so I would suggest 12-16GB. Depending on the services you want to run any multi-core x86 CPU that allows 16GB of RAM to be used should be adequate. I believe TrueNas recommends ECC RAM, but I don’t think using consumer grade RAM and hardware has caused me any problems. I’m also using an old SSD for the system drive, which I is recommended now (I used to use 2 mirrored USB thumb drives, buy that’s not recommended anymore). Very importantly, make sure the HDD(s) you get are not shingled drives; made that mistake initially, and performance was ridiculously bad.

Could use it kind of like an extra monitor with something like Barrier.

Could use it like a home assistant for a kitchen or something, but I don’t know if there’s any good privacy respecting software for that ATM (looks like MyCroft went bankrupt).

I used an old laptop I had laying around for controlling a Maslow CNC. Could also use a laptop to run OctoPrint or something.

Yeah, I was disappointment when I bought a very expensive Galaxy S22 to replace my old Moto G whose charging port wore out,. The S22 had worse battery life, camera, and no noticeable performance improvements. Recently, my S22 stopped charging, and I just bought a “Mint”-grade used Pixel 6 and installed GrapheneOS on it. Happy so far, and it’s nice to be able to block network access to all apps, including Google’s.

I try to find home-compostable disposables, which I can just throw in my compost pile, and eventually adds organic matter and nutrients to my various garden beds and pots.

Nearly all clothing contains synthetics, which I do not want in my soil, so I try to buy higher quality, more durable clothing.

I do not do humanure composting, and just buy the cheapest toilet paper :)

I generally try to avoid disposables if there’s a practical alternative.

Some of the “open” models seem to have augmented their training data with OpenAI and Anthropic requests (I. E. they sometimes say they’re ChatGPT or Claude). I guess that may be considered piracy. There are a lot of customer service bots that just hook into OpenAI APIs and don’t have a lot of guardrails, so you can do stuff like ask a car dealership’s customer service to write you Python code. Actual piracy would require someone leaking the model.

Thanks. So much better than RHVoice.

I’m curious if ByteDance could just create a new legal entity and call it TikTak or something.

If you have to verify children’s identity, you have to verify everyone’s identity. This is part of KOSA. https://www.eff.org/deeplinks/2024/12/kids-online-safety-act-continues-threaten-our-rights-online-year-review-2024

Oldest I got is limited to 16GB (excluding rPis). My main desktop is limited to 32GB which is annoying, because I sometimes need more. But, I have a home server with 128GB of RAM that I can use when it’s not doing other stuff. I once needed more than 128GB of RAM (to run optimizations on a large ONNX model, iirc), so had to spin up an EC2 instance with 512GB of RAM.

Yeah, that’s what I’ve been thinking since his speech. I’m thinking the people he’s surrounded with are encouraging his non-sensical ramblings so they can replace him with Vance, who is a Thiel/billionaire puppet, and likely more predictable and reliable than Trump.

That’s really cool (not the auto opt-in thing). If I understand correctly, that system looks like it offers pretty strong theoretical privacy guarantees (assuming their closed-source client software works as they say, with sending fake queries and all that for differential privacy). If the backend doesn’t work like they say, they could infer what landmark is in an image when finding the approximate minimum distance to embeddings in their DB, but with the fake queries they can’t be sure which one is real. They can’t see the actual image either way as long as the “128-bit post-quantum” encryption algorithm doesn’t have any vulnerabilies (and the closed source software works as described).

I just use Joplin, encrypted, and synced through dropbox. Tried logseq, but never really figured out how to use its features effectively. The notebook/note model of Joplin seems more natural to me. My coding/scripting stuff mostly just goes into git repos.

The PC I’m using as a little NAS usually draws around 75 watt. My jellyfin and general home server draws about 50 watt while idle but can jump up to 150 watt. Most of the components are very old. I know I could get the power usage down significantly by using newer components, but not sure if the electricity use outweighs the cost of sending them to the landfill and creating demand for more newer components to be manufactured.

A lot of people seem to use “DEI” as a stand-in for the “n-word.”

I’m loading up on vacuum tubes.

Last time I looked it up and calculated it, these large models are trained on something like only 7x the tokens as the number of parameters they have. If you thought of it like compression, a 1:7 ratio for lossless text compression is perfectly possible.

I think the models can still output a lot of stuff verbatim if you try to get them to, you just hit the guardrails they put in place. Seems to work fine for public domain stuff. E.g. “Give me the first 50 lines from Romeo and Juliette.” (albeit with a TOS warning, lol). “Give me the first few paragraphs of Dune.” seems to hit a guardrail, or maybe just forced through reinforcement learning.

A preprint paper was released recently that detailed how to get around RL by controlling the first few tokens of a model’s output, showing the “unsafe” data is still in there.

I think TikTok appeased the right by changing their algorithm. Charlie Kirk is apparently doing extremely well on the platform now.

You can also just install the libreelec os (Kodi), and install the Jellyfin Kodi addon. Haven’t tried that addon. I used to use Kodi when I had only one TV, and liked it. Now that I have 2 Android TVs, just installing Jellyfin on the TVs works fine. I might go back to rPIs and disconnect my TVs from the internet though.