Oh, I forgot about Claude. Last time I tried it, it seemed on par or even better that ChatGPT-4o (but was missing features like browsing).

Regular users can use Gemini, Deepseek, Meta AI, and there will probably be many more services in the future.

NFS gives me the best performance. I’ve tried GlusterFS (not at home, for work), and it was kind of a pain to set up and maintain.

If it works, I don’t update unless I’m bored or something. I also spread things out on multiple machines, so there’s less chance of stuff happening like you describe with the charts feature going away. My NAS is pretty much just a NAS now.

You can probably backup your configs/data, upgrade, then deploy jellyfin again, restore, and reconfigure. You should probably backup your data on your ZFS pool. But, I recently updated to the latest TrueNas Scale from ~5 year old FreeBSD version of TrueNas and the pools still worked fine (none of the “apps” or jails worked, obviously). The upgrade process even ported my service configurations over. I didn’t care about much of the data in the pools, so only backed up the most important stuff.

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.

I don’t really like rogues (because you pretty much have to redo everything again), but I do usually play games with the difficulty settings all the way up (not on “ironman” though). Being able to retry from a recent save isn’t too frustrating, and you can finish many games without even learning or using various mechanics if you don’t use the highest difficulty.

NMS is ok. I play it from time-to-time, and probably have 10s of hours in it. In survival mode, it feels similar to subnautica; or I guess most survival games (I personally haven’t played many). The breadth of mechanics is huge, but they all lack depth. Combat on ground and in space is very simplistic, for instance. Space combat is just pressing a button to have your ship auto-lock on a target, pressing another button to switch between anti-shield and anti-hull weapons, then pressing the shoot button. I really don’t like the cartoonish aesthetics of the other sentient alien races, or my character.

I used to really like the Freespace and Wing Commander games when I was a kid; and haven’t really played anything comparable (i.e. high production value with good stories and voice actors).

I’ve played X4, just for maybe an hour or so, and it seems like it’s another sandbox-like game.

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.

It’s ok for very small scripts that are easy to reason through. I’ve used it extensively in CI/CD, just because we were using Jenkins for that and it was the path of least resistance. I do not like the language though.

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

Worked manual jobs (assembly line) right out of highschool (well fast food during highschool too), and absolutely hated how boring it was to me. I’m not a social person, and used to have really bad social anxiety. I’ve always had an interest in computers, for whatever reason, so after a few years of manual labor, decided to go to college for that. Also, I lived in a very depressed area, and the jobs I had were very low paying, to the point I couldn’t afford to move out from my parents, so something had to change.

Anyways, I made the right choice, because I’m pretty good at what I do, and I love encountering and solving difficult problems.

While in college, I did work at a metal fab shop for a summer, and I could’ve totally seen myself doing that as well. It wasn’t mind-numbing like assembly line work, did involve problem solving, and the tools and machines were “cool.”

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.

I learned it because I had to write a WPF desktop application, so you could start with WPF tutorials. I was already very familiar with Java, which is very similar, so it wasn’t too hard. Last time I used it was in Unity. You might want to find a good free online course for C# to get a good grasp of C#/Java’s style of OOP, design patterns, and all that kind of stuff.

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.

CK2 - 400h

Fallout NV (guessing most of this has been TTW) - 190h

Stellaris - 180h

Xcom 2 - 140h

GTA 5 - 99h

Cities Skylines - 95h

Skyrim - 90h

Civ5 - 85h

Xcom - 83h

The other games I’ve played are pretty much the standard play-through times. (< 70h)

Cool. A few years ago I made similar sensors (but just PIR, LUX, esp8266 board, jumper wires, and some with ultrasonic proximity). Attached them to the wall with those 3m velcro things. ESPHome makes things so easy; didn’t even have to write code. Hardest thing was designing and iterating over the case to get the tolerances just right.

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.