They are asking the court to ensure that they have permissions to do it. This is way cheaper than broadcasting the ad and getting sued later.
Now if they lose the suit, they are just out lawyers expenses.
If they push the ad, they could get sued for a billion dollars. So the liability is a lot lower now.

I am not sure why you would want to make that particular ad SO MUCH that paying lawyers to sue disney for permission makes sense. But maybe the ad is just THAT good!

Of course, this being /. I have read TFS but not TFA.

what is it that they are detecting really. Some text was generated by an LLM is not terribly surprising. Lots of language tools like akin to grammarly are powered with LLMs.

The abstract was partially written by an LLM is not really a problem either. Abstracts are summary and LLM are somewhat decent at that. As long as you proofread for accuracy, it's probably fine.

Now if the paper and the results are LLM generated, then yeah, it's an issue.

How about we put this much hyped AI to good use by employing it to automatically shut the door in such cases?

While we're at it, I could use an AI robot dishwasher that can actually clean pans, determining whether to use scouring powder and then use it or not, and position dishes itself, no more need for the user to carefully position everything, just dump the dirty dishes in the machine.

Too bad all the hoopla around AI was hype, and AI still can't do such simple things.

But... But... I wrote a todo list app using AI.
Obviously that means it can cure cancer when asked, right?

"so we will make them larger and they will go airport to airport and then what?"

That answer is actually in TFS. The plan is to " land on makeshift dirt runways adjacent to wind farms."

I see what you are saying and I mostly agree with it.
I do think though as we look at technology that they tend to be overhyped when released, bust out, but still continually deliver unforeseen value in the long run.
And I think these LLM and whatever will follow will do that.

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.