I went to a top rated engineering school in the US and found the CS program easy. It helped that I enjoyed most of my classes, and that had been teaching myself for years before I got there. I had plenty of free time to spend with friends or whatever else.

While I've certainly had jobs that demanded long hours, I've had others that are more reasonable, and with good pay. It's more possible now to find a good paying job with good work/life balance than when I started working over 20 years ago.

Don't let the negative people scare you away from school or the industry. Ultimately your experience will be your own. If you find that the path you're on isn't working for you, just do something else!

Seeing that Thor movie once was 1 time too many. I can't imagine seeing it 33 times.

I find it difficult to believe that breaking down steel to be 3d printed into large structures for a bridge is faster or more energy efficient than casting the parts instead.

I felt like the real prank was on me for having paid money to watch it

C++ has had the same style of obtuse errors for decades. They can be a real pain to figure out even if you are used to seeing them.

Every significant organisation, government, big company probably had done something terrible at some point.

Yup, which is why it's basically impossible to be an ethical consumer these days. "The Good Place" did a really entertaining exploration of this idea.

So you want Epson to provide you with a separately application which runs in the background to tell you when to update? Why split the responsibility?

I'm tired of hearing about this game already.

I enjoyed the ship battles in Assassin's Creed 4 way more than the platforming and main story. I probably spent twice as much time at sea as I did on land.

No leaks necessary; there are a number of open-source LLM's available:

https://github.com/Hannibal046/Awesome-LLM#open-llm

The key differentiator between these and proprietary offerings will always be the training data. Large amounts of high-quality data will be more difficult for an individual or a small team to source. If lawsuits like this one block ingestion of otherwise publicly-available data, we could have a future where copyright holders charge AI builders for access to their data. If that happens, "knowledge" could become exclusive to various AI platforms much the same way popular shows or movies are exclusive to streaming platforms.

The recommendation to make small, focused changes and commit frequently are good practices for using git as well. Any changes a developer has locally are effectively a branch, so I don't see much of a difference between the two approaches, at least in the context of this article.