One of those tiny low power PCs with OpenSense is a good alternative, but a bit more work. The only downside is that you need a separate switch and wifi access point.

And also, you can sort of brute force things to look good it with shaders.

Same boat… But I had some success with low poly 3D models which I found are pretty easy to make. Learning a bit about color theory, how to match colors, as well as learning a bit about level design goes a long way. You can make a great looking game this way.

But my dream game is 2D pixel art, and I really suck at it.

Sure, but it’s still really interesting from a historic point of view.

Easiest? More like… The only way.

Is this what burnout looks like?

Skill issue of the developer to fix it or skill issue of the submitter?

Not OP, but there is value in having competition. DDG is just a bing front-end. The big search engines have a major problem with the quality of results going down, as the internet is SEOd to death. The companies behind these engines don’t seem to be very eager to fix it, they are just hoping to replace them with AI. We’ve also seen how these engines have been turned into ad platforms, which changes the incentives… Instead of ranking quality, they are ranking who pays more.

Taking a different approach to ranking results that isn’t ad driven, that can punish AI generated content and low quantity results would bring a huge value.

If you don’t want to be on the bleeding edge and want a distro with longer support, CentOS Stream isn’t bad. Sure, there was some controversy surrounding it, when Red Hat killed the old CentOS. But ignoring that, the distro itself is pretty good and stable.

Did you even read my post? I said that you need plates to drive, but you don’t need plates if you are parked (or on private property). If a car is parked, you have plenty of time to read the VIN. Driving on public roads without plates is illegal and you risk jail time.

You can’t hard link across docker volumes. In the second example, you need to remove the /media/movies and /media/downloads volumes, only keep /media.

After fixing this, only future downloads will be hard links. Use a deduplication tool like jdupes to create hard links for the already downloaded files.

I highly doubt cameras would be able to recognize this as a valid plate.

Where I live, you only need valid plates to drive on public roads. If the car is parked or you drive on private property, there’s no problem. The procedure for getting plates requires you to not have plates for like 2 or 3 days.

Cars can still be identified by the VIN which is on the windshield.

Much better. SSDs and HDDs do monitor the health of the drives (and you can see many parameters through SMART), while pen drives and SD cards don’t.

Of course, they have their limits which is why raid exists. File systems like ZFS are built on the premise that drives are unreliable. It’s up to you if you want that redundancy. The most important thing to not lose data is to have backups. Ideally at least 3 copies, 1 off site (e.g. on a cloud, or on a disk at some place other than your home).

PhotoRec and TestDisk are probably the best, but they don’t recover file structure.

Fuck up #1: no backups

Fuck up #2: using SD cards for data storage. SD cards and USB drives are ephemeral storage devices, not to be relied on. Most of the time they use file systems like FAT32 which are far less safe than NTFS or ext4. Use reliable storage media, like hard drives.

Fuck up #3: no backups.

The honestly prefer the bottom one than the modern 50 step wizards that take 10 seconds for each page to load, and load an ungodly amount of JS scripts.

A company I worked for was using an ancient bug tracking tool (called Pivotal) that looked like a 90s site. It was so fast and responsive. Later, we moved to something modern. It was 10 times worse, significantly slower and overly complex.

With all the recent hype around AI, I feel that a lot of people don’t understand how it works and how it is useful. AI is useful at solving certain types of problems that are really difficult using traditional programming, like finding patterns that aren’t obvious to us.

For example, object recognition is about finding patterns in images. Our brains are great at this, but writing a computer program capable of taking pixels and figuring out if the pattern is there is very hard.

Even if AI is sometimes going to misclassify objects, it can still be useful. For example, in a factory you can use AI to find defects in the production line. Even if you don’t get it perfect, going from 100 defects per 1M products to 10 per million is a huge difference and saves the factory a lot of money.

When you release something, your work is not done. You have to maintain it, fix bugs, release patches, and probably the worst part, keeping it up to date.

For example, Apple decides to deprecate some API, or decides to switch cpu architecture, or for the millionth time change how app signing works, or add some new security feature that breaks your app. Now you need to make your app work properly on the new platform, switch APIs, all the fun. Or, there’s some critical vulnerability in library you used and customers are deleting your app from their computers (a lot of companies use automated scanners that check against published CVEs). It’s most fun when you learn that the new version that fixes the vulnerability completely breaks compatibility with the old one and now you have to rewrite all the code that used that library.

Also, maintaining open source projects is not fun. It’s a lot of work, in most cases unpaid, thankless, and building a community around a project is really hard.

If you store them properly and create fresh backups on new discs every couple of years, they can last a long time.