The core problem is that it may be hard to filter out.
Yes we got dumb fads; but even the dumbest fad "take it or double it for the next person" takes some time to make. Here you might be seeing a single person pumping 10 of those per day.

If you look past the "if I publish this my hindex goes up", the result does make sense. Yes, it could be transactional, but it doesn't have to be.

The most common reasons to reject a paper are "the method isn't quite right" or "there is a missing point of comparison". And since their own work is the piece that they would know the most, citing that usually fixes the problem in the mind of the reviewer.

I have a guess.

With new policies in the US, profits are expected to skyrocket even though the consumer might get massively screwed.
The policies will likely enable companies to go unchecked, to pay fewer taxes, and to squeeze their employees more, while delivering less reliable value to the consumer. So profit will go up (at least in the short term), the stocks go up too.

A random computer scientist opinion isn't worth much, but that my $.02

Reflextions are a useful exercise. But that just sounds silly!

OH MY GOD!!! YES!
We are using two different platforms and one of them does not have speedup options. I like the other one so much better!

Absolutely, I do that in person as well. But in person and video are different situations medium.

In general, recording a live lecture makes a poor video lecture. It is better than no lecture at all, so there is value to it. But unless it is heavily edited (which I find makes it hard to watch for a live lecture), then the video tend to have lots of slack for the "let me point out this thing" or for the "the slide deck is out of sync because I pressed backwards instead of forward" or "I wanted to write on the board, but turns out the marker is dry".

There are so many videos that have a fuck ton of padding in them.
Either jumping around or setting to 1.5 speed makes it more bearable.

A recorded lecture (I don't mean something built for a video format) is very slow because it is live. So there is lot of dead space in the video. And accelerating it makes sense.

yep, that increase looks like about the amount of the tarriff on japan. So that makes sense.

The thing is when the tarriffs disappear eventually, the prices win't go down. (We saw it during covid.)

Well, the article lines up with what I am seeing. My son just got hired with a BS in physics after looking for over a year. He applied to every job he was remotely qualified for He had multiple internships during his degree. And he only got a call back once he got internal referrals.

The story is the same from my students out of BS in CS. Hundreds of applications for internahip that never answer. And probanly 6 month to find a related job after graduation for most good students.

This seems to have started as covid lockdowns ended and before chatgpt kicked in; about mid 2022.

The exam and curriculum were redesigned in 2004 and haven't changed much since In 2004 it made sense to do java.
In the past they have used other languages in the past. According to wikipedia: pascal from 84 to 99, c++ from 99 to 04 and java since.

Or alternatively, they know and don't care

I haven't had great success using AI for voice acting. The core problem is that it is difficult to force a particular diction, emphasis, or emotion. We'll get there I imagine. But right now we are not.

Now, depending what you need it for, you may not care that much. If you are making an animated movie, you probably care. If you are making a NPC-3045 in an RPG with 2 lines of dialog, you probably don't care.

To be fair, getting in the ball park is already pretty good. These are numbers that were not easily possible 5 years ago, I would think. So even if you call it "a couple years behind", it's still pretty good.

I imagine they had engineer double as server technicians

But you don't send untrained people to rewire a server or swap a hard drive. So I would imagine you would want to hire people who have physically worked in a data center before.
That's a smaller subset of the software engineer pool. That's what I meant.

(OK, that will teach me to post on my phone.)

OK, Storage is about $.10/GB/month not per hour. (That bill seems high.)
So even if you make storage 100TB. the storage bill is $120k/year.
So you are talking definitely under $1M a year for the whole operation.

Moving to the cloud probably makes financial sense at that scale and reduces the kind of expertise you need to hire.