Can you recommend any reading for that methodology ? Sounds intuitively correct, but would love to get more context

Don't have a book but here's some quick thoughts: 1. Biographies on, e.g., Chinese pianist Lang Lang. When he was ~9 he 'retired' (it's an extreme case but telling, can recommend). 2. If you want formal/mathematical/CS perspective, study Reinforcement Learning (e.g. Rick Sutton).

Unironically, how are history-related questions not negative? I’d imagine people would ask questions about some dark events.

I was blocking subreddits recently and was contemplating if /r/historyporn because of the amount of photos of dead bodies and politically-charged discussions that sometimes unfold

If you block /r/history, you would prove the aphorism, "One thing we learn from history is that we don't learn from history"

a haircut made of teeth though, hmm

alarm emoji alarm emoji alarm emoji

It’s 2025 today, Andy :)

The website is from 2023.

Millennial translator here. The user is complaining about having to learn new skill, which is what 90% of LLM complaints are about

No, there are models with sub-second latency for sure

Variety is great, but idk why anyone would buy anything other than MacBook for programming or media work in the age of Apple Silicon. Unless they specifically need CUDA or a particular version of Linux or some Windows features, or actually want to tinker with/ tweak the computer continuously.

I'm a programmer but I can't stand macOS, so a MacBook isn't an option, as much as I like the hardware. I've looked at Asahi Linux, but, while they've done an amazing job with no documentation, it doesn't meet my needs.

So Debian on a Framework 13 it is. And it's fine! I'd agree that Apple hardware is probably the best, but the difference doesn't really matter to me all that much in practice.

It's true, they're unbeatable as consumer products now, especially after Intel dropped the ball so hard

What’s a good alternative ?

I suppose that depends on the use case.

For mash-ups specifically, using yt-dlp to download music and split into stems with Demucs, using the UVR frontend, before importing into a DAW is effortless. The catch is that you can't expect to get OK-ish separation on anything other than vocals and "other", which really isn't a problem for mash-ups.

https://github.com/Anjok07/ultimatevocalremovergui

IS there any DAW plugins that do that ?

There are several. I've only tried one of them (free, can't remember which) but went back to UVR5.

While it's convenient not having to split stems into separate files beforehand, by using a VST, you usually end up doing so anyway while editing and arranging.

If you're already in the Ableton ecosystem, their newly released stem separation is actually very good, at least for the small amount of testing I've done so far. Much better than demucs, which shouldn't come as a surprise I suppose.

I use RipX DAW personally. It very cleanly seperates vocals, guitar, bass, and drums.

When all is said and done, this book must be the one.