psyklic

Almost all of this did happen, but in my experience was much rarer than the article makes it sound:

- I've never heard or experienced NES cartridges rusting -- but I've had to blow on them, and I've had plenty of CDs scratched (typically when storing them without a case).

- Yes, Windows had significantly more blue screens; however, the cause of lost work was always failure to Ctrl+S (not a blue screen).

- Memory was certainly limited (and in DOS there mostly was no multi-tasking), but only fanatical players would run into the issue described. And you were aware that many games required a memory extender.

- Even now, games are massively hacked e.g. GTA V Online.

- My original PC had a TURBO button, but I never had to use it.

Math research isn't all or nothing on a single problem. Rather, the problem would serve as inspiration to explore achievable subproblems, weaker problems, related topics, etc. These would be interesting papers by themselves, but if lucky may also lead to progress on the main problem. So this leaves lots of room for using AI as an assistant.

Why aren't they running agents on isolated computers without Internet access? This way, breaking free of containers would not matter.

It is truly a security nightmare that so many people are have given agents root access to their entire computers, in addition to presumably very private personal information.

Motivation can come from many sources, not only grading, e.g. individual encouragement, exciting applications, day-to-day relevance, interest shown by peers. Also students can just be intrinsically motivated.

According to the article, #1 leads to "failure and drop-out rates of 50 to 80%". #2 and #3 might work for organized and motivated students, but graded assignments from other classes will be prioritized by most.

A major goal of experienced programmers is to manage risk, often by reducing unnecessary complexity. LLMs seem to be the exact opposite of this, perhaps soon producing volumes of code noone has time to review.

Should the industry go this way, there very possibly will be some reckoning later with a misaligned model.

That said, there are certainly less risky ways to use LLMs positively in development!

You can read a lot of the newspaper and still finish by the end of breakfast.

It isn't personalized, so many sections aren't of much interest.

This is what happened with me and BASIC. I had to upgrade to C when my programs became limited by complexity, speed, and difficulties robustly integrating audio.

Yes, likely because people have stopped caring about privacy, or perhaps given up.

To gain a bit of convenience, they are voluntarily sending their emails, credit card statements, calendars, location history, etc. to third parties and giving bots admin-level access to their computers.

This would have been unimaginable decades ago, and it is still dangerous (both individually and collectively ...).

The goal of PhD programs has never been to have every student become a professor. Also, strong STEM PhD students generally don't need much help finding jobs after they graduate. Claiming that PhD students "aren't prepared" for industry careers is simply saying that students lack industry experience (obviously, being students!).

The problem here -- and why universities even do research at all -- is that industry's support of basic science is not very stable. At least when I was in school, industry research generally was more applied and engineering-focused.

I guess they updated the way it connects to the remote machine. Perhaps something about my setup wasn't one of their test cases?

I am stuck using an older VSCode. A few versions ago, it stopped connecting to my remote machine.

and 2tb -> 8tb storage is +$3k!

The most important part of math is advancing human understanding. A correct answer by itself is not as important as understanding why it is correct.