If you are just getting started, this is a good resource for learning hiragana and katakana.

Past that, I used Anki and Bunpro for learning vocab and grammar. However, an alternative to anki for vocab that’s definitely worth checking out is jpdb.io, and Cure Dolly’s youtube videos are good for learning grammar.

There are also some decks that people have on anki which have sentences that you can practice on, I hear those are a pretty good way to start reading so that you can work your way to reading books/manga and stuff.

Here’s another website that’s worth reading through if you’re interested in doing immersion learning with japanese.

I switched to vertical tabs in every program that i could, and I think it might have actually made me a little more productive. Visual studio has an option for it, and I highly recommend using it if you use VS. I can have a bunch of different tabs open so that I can quickly reference them if needed.

I am one of those people who’s pretty concerned about AI, but not cause of the singularity thing. (the singularity hypothesis seems kinda silly to me)

I’m mostly concerned about the stuff that billionaires are gonna do with AI to screw us over, and the ways that it’ll be used as a political tool, like to spread misinformation and such.

I’m pretty the curvature of the universe has actually been measured to be very close to 0, within margin of error, which would suggest an infinite universe. (It doesn’t prove it by any means, though. The curvature could just too small to measure.)

However, the observable universe is indeed finite, due to the speed of light being finite.

Is there any way to validate these claims?

I think it could end up being a problem that we face in the future, but probably not an insurmountable one.

For one, I suspect that clean data sources will always be available, though it could become a lot more expensive to obtain. As an extreme example, you could always source your data by recording in-person conversations.

Also, as AI improves, I’m guessing it will be able to handle bad data more gracefully, and that it should be able to train to the same effectiveness while using a smaller dataset.