Now I don’t know if they ever changed anything since launch. But if you judged the max speed by the first flying saddle you got you didn’t actually experience anything close to max speed. Pals that have their saddles unlocked at a higher level (usually) have a much higher speed when mounted.

Source

I find it wild that, to this day, Windows defaults to opening them in a browser. Windows has an image viewer right there.

Can that image viewer extract text so that a user could easily copy/paste it? I think if whatever pdf I was opening didn’t allow me to do that I would be really frustrated.

Remember the people who created malicious libraries that ChatGPT made up and suggested, in the hopes someone would blindly install them? You can do this a lot easier here. Check what websites this tends to hallucinate when typing “google” “youtube” “facebook” etc. and if any of them don’t exist yet, register that address and host a phishing version of the corresponding site there.

I hope you’re right because this article says they used a spray can.

Which brings me back to the last point in my comment. I also hope I’m right but the two times I looked into it (right after the attack and before writing my comment) both came up with that result and also it seems that English Heritage came out today saying there was “No visible damage”.

As I said, I’m not writing to defend the action, just pointing out that the OP article is, willfully or not, omitting certain aspects that could make JSO look a little bit better.

but we did damage a 5000-year-old monument

As far as I could find out, they used orange cornflour that will just wash off the next time it rains. The most amount of damage anyone could seriously bring up was that it could harm/displace the lichen on the henge.

That’s not to say that I specifically condone the action, but it’s a lot less bad than this article makes it sound. It’s the same with the soup attack on one of van Gogh’s painting, which had protective glass on it. So far all the JSO actions targeting cultural/historical things (at least the ones that made it to the big news) have been done in a way that makes them sound awful at first hearing, but intentionally did not actually damage the targeted cultural/historical thing.

I think the biases of the journalist/news outlet/etc. are somewhat exposed by which parts they focus on and which they downplay or omit entirely.

Somehow Roblox has become the Metaverse Meta was trying to build…

so the names of the ai characters HAVE to be stored in game…

Some games also generate names oh the fly based on rules. For example, KSP stitches names together based on a pre- and suffix and then rejects a few unfortunate possible combinations such as Dildo, prompting a reroll.

I suspect with your game, they just fed it a dictionary of common words though without properly vetting it.

It’s organized by the European Broadcasting Union which includes a lot of countries in Northern Africa, some countries in the Caucasus region and some of the countries inbetween.

Australia also joined Eurovision though despite not being a member of the EBU…

Yeah, wtf. That’s not “right to repair(verb)” it’s “right to repair(noun)”. Totally different concepts.

I think the humor is meant to be in the juxtaposition between “reference” in media contexts (e.g. “I am your father”) and “reference” in programming contexts and applying the latter context to the former one.

What does “I’m your father” mean if the movie is jaws?

I think the absurdity of that question is part of said humor. That being said, I didn’t find it funny either.

That was a response I got from ChatGPT with the following prompt:

Please write a one sentence answer someone would write on a forum in a response to the following two posts:
post 1: “You sure? If it’s another bot at the other end, yeah, but a real person, you recognize ChatGPT in 2 sentences.”
post 2: “I was going to disagree with you by using AI to generate my response, but the generated response was easily recognizable as non-human. You may be onto something lol”

It’s does indeed have an AI vibe, but I’ve seen scammers fall for more obvious pranks than this one, so I think it’d be good enough. I hope it fooled at least a minority of people for a second or made them do a double take.

Yeah, I’ve noticed that too—there’s a distinct ‘AI vibe’ that comes through in the generated responses, even if it’s subtle.

It’s not as accurate as you’d like it to be. Some issues are:

• It’s quite lossy.
• It’ll do better on images containing common objects vs rare or even novel objects.
• You won’t know how much the result deviates from the original if all you’re given is the prompt/conditioning vector and what model to use it on.
• You cannot easily “compress” new images, instead you would have to either finetune the model (at which point you’d also mess with everyone else’s decompression) or do an adversarial attack onto the model with another model to find the prompt/conditioning vector most likely to create something as close as possible to the original image you have.
• It’s rather slow.

Also it’s not all that novel. People have been doing this with (variational) autoencoders (another class of generative model). This also doesn’t have the flaw that you have no easy way to compress new images since an autoencoder is a trained encoder/decoder pair. It’s also quite a bit faster than diffusion models when it comes to decoding, but often with a greater decrease in quality.

Most widespread diffusion models even use an autoencoder adjacent architecture to “compress” the input. The actual diffusion model then works in that “compressed data space” called latent space. The generated images are then decompressed before shown to users. Last time I checked, iirc, that compression rate was at around 1/4 to 1/8, but it’s been a while, so don’t quote me on this number.

edit: fixed some ambiguous wordings.

If someone wants to read one of those papers, I can recommend Extracting Training Data from Diffusion Models. It shouldn’t be too hard for someone with little experience in the field to be able to follow along.

Understanding the math behind it doesn’t immediately mean understanding the decision progress during forward propagation. Of course you can mathematically follow it, but you’re quickly gonna lose the overview with that many weights. There’s a reason XAI is an entire subfield in Machine Learning.

I think it’s much more likely whatever scraping they used to get the training data snatched a screenshot of the movie some random internet user posted somewhere. (To confirm, I typed “joaquin phoenix joker” into Google and this very image was very high up in the image results) And of course not only this one but many many more too.

Now I’m not saying scraping copyrighted material is morally right either, but I’d doubt they’d just feed an entire movie frame by frame (or randomly spaced screenshots from throughout a movie), especially because it would make generating good labels for each frame very difficult.

I haven’t personally used it but from what I can find: if you’re using torrents with Stremio (e.g. the ones found with torrentio) you are totally uploading parts of what you’re watching to others.

Even real Pokémon has things like humans marrying Pokémon in its lore. Not at all a surprise that the “Edgy Pokémon” would push the boundary a little further.

Scarlet and Violet sold 10 million copies during the launch weekend, so I think they’ll be pretty content to keep churning out mediocre games at a much faster pace.