HN user
Meow
I gave up on trying to set up an company in Germany. Founding is the 1st side of the coin, but the other side of the coin are the complexities of closing your company (which takes at least a year as well) and exit tax (you might get taxed 6-7 figures when moving abroad even if you don't really make reasonable money).
What a sad time to be buying a gaming PC, it seems that my 7yo rig bought for the same price is just as powerful.
I'm developing a simple video processing and generation library for Python focusing on short-form videos (think TikTok or Youtube Shorts) and ease of use for humans and AI agents https://github.com/BartWojtowicz/videopython
Lately I think more and more about the famous IBM quote - "A computer can never be held accountable, therefore a computer must never make a management decision."
I think this also applies to current AI solutions and I think that's precisely why the best workers will be humans who both use AI and will put their accountability at stake.
I love it, I was looking for a simple music player like this! FYI Currently the standard bookmark shortcut `cmd + d` changes the theme instead of bookmarking the website :-)
AFAIK given Wikipedia spending they have ~1.5years of runway. Source: https://en.wikipedia.org/wiki/Wikipedia:Fundraising_statisti...
Not sure how I should understand `Warfare` and `Intimacy` having the exact same numbers ;-)
I think you'd greatly enjoy Undertale, it's a great 4-5h game exploring the combat/pacifist side of RPGs.
Coming from non-Haskell background, it took me a good while to undestand that `Just` is a constructor specific to the `Maybe` type. Found this for a quite nice answer: https://stackoverflow.com/a/18809252
It feels surreal that I pay 100PLN/month (~25usd) for my symmetrical 1Gbit/s in Poland.
First, as everyone here said: finish your degree, it will surely help with relocation and job search.
I have a very similar experience to yours (didn't like the analytics side of Data Science) and my advice would be to look into ML engineering roles. ML engineering is heavily SWE-oriented, sort of an intersection between Data Science and Software Engineering. I switched to ML engineer and I totally love it, you get to learn tons of cool SWE stuff (Docker, kubernetes, linux, cloud, ci/cd) and you're still close to newest ML research, which I love :)