V17

It exists, it just doesn’t work very well. It’s enough to convert the generated AI image into jpeg and the jpeg compression, even if imperceptible to us, will cause the AI to stop recognizing the image as AI generated. It also costs money if you want to use it on this scale because it’s computationally intensive.

I switched from OneNote to Logseq. Its feature set is pretty much completely different, but in the end I realized it’s fine with me and resulted in my notes being more useful.

The main downside that I see now is that it’s kind of slow - much faster than the Electron version of OneNote was last time I used it, but slower than old native OneNote app or Obsidian. Otherwise its main differences from Obsidian are that in Obsidian the basic building unit is a page, whereas in Logseq it’s a paragraph (and, usually, its sub-paragraphs - it’s an outliner), which Obsidian can only do with plug-ins and not as seamlessly, and that with Obsidian you pretty much need to use community plug-ins, whereas with Logseq a lot of the functionality is built-in.

It’s open-source and uses markdown, not completely standard, but close enough for the files to be entirely usable if Logseq ever dies. Its community is smaller than with Obsidian, which is a downside, but it’s not exactly obscure either.

Really probably the most important thing about Obsidian and Logseq is to read an article or watch a video about how automatic backlinking works. It’s especially useful for something like Zettelkasten, but it also works for more “normal” approaches as well as concepts like Getting Things Done.

Both are OK tools and are similar in many ways, but they’re quite different from OneNote. Downside of both is that synchronization between devices sometimes creates issues unless you use their paid service.

Yeah, don’t do that anymore then. Firstly the video doesn’t really find overall 2x speedup, but mainly Cycles X came out since then, where most of the codebase has been rewritten from scratch, and after that numerous significant optimizations happened as well. That video is pretty much irrelevant now.

Afaik Blender since 3.0 does not support OpenCL anymore and AMD rendering uses HIP instead. I have not found any information about dramatic performance differences, though CPU rendering does seem to be somewhat faster on Linux - but more like 10% faster and the amount of computation practically done on the CPU is not that big.

Also this represents the biggest headache in Linux, lots of gamers insist they can only use Nvidia cards. Nvidia treats linux as an afterthought as best or deliberately sabotages things at worse.

Personally I use NVidia because of CUDA, gaming is an afterthought. I wish CUDA just fucked off and we got some universal compute API instead, because that’s what would reduce the NVidia stranglehold on the market, perhaps OneAPI is going to catch on at some point, but at this moment those options are not practical.

the best example is Blender which works almost twice as fast on Linux

People say this, but what exactly do you mean? I mostly model on windows because it’s my primary system (I use applications that simply don’t work well enough with wine), but mostly finish and render stuff on linux because of windows’ retarded automatic updates etc. that can just cancel rendering without asking. And the only difference I’ve seen is how fast Blender starts - I’d say that’s more than 2x as fast on linux, it’s a huge difference. But rendering is the same (NVidia GTX GPU) and other work inside blender also seems to be about the same.