Sorta. The function height(angle) needs to be continuous. From there it’s pretty clear why it works if you know the mean value theorem.

People who claim “guys” is gender neutral would most often only count men when asked the question “How many guys did you sleep with in your life?”

Until I find a single person who immediately thinks of people of any gender at that question, I will not fall for the internalized misogyny of “‘guys’ is gender neutral” meme. (Same with “dudes” and all the other ones I’ve seen over the years. I’ve even seen someone say “bro” is gender neutral.)

It’s not copyright, it’s patents…

(I do also hope that they lose because ingame mechanics being patented is bullshit)

It’s only from spells and only the player itself is immune from them. I don’t think this would even see play in YGO.

From what I remember and what a quick search on the internet confirmed, B didn’t actually deny her anything. He actually went out of his way to do as much good for her as he could. He claims to have replied “Language.” because he knew other people at NASA with more say on her job would find her, which would get her into trouble (and they did find her even before his first Tweet).

I hate to defend Nintendo, but they used their own Emulators in the NES and SNES Mini (Kachikachi and Canoe respectively). I would be surprised if they just yoinked one from the internet here.

I’m guessing they just take the correct prefix (the first 3 letters of the correct month) and append “tember”, no matter the month.

If you wanna see a language model (almost) exclusively trained on 4chan, here you go.

Presumably. Wouldn’t take much to fake that though.

Despite all that, there was the Warlock who Ninja’d the Sword dropping in Naxx on the final day. Fun times. Now that we’re slowly approaching Classic MoP we’ll finally see if the masterplan worked out too.

When were talking about teaching kids the alphabet we need to train both individual and applied letters

This is only slightly related but I once met a young (USAmerican) adult who thought the stripy horse animal’s name was pronounced zed-bra in British English and it was really hard to convince her otherwise. In her mind zebra was strongly connected to Z-bra, so of course if someone was to pronounce the letter “zed” it would turn into “zed-bra” and not just into “zeh-bra”.

With Larian’s previous game having great DM tools and them saying they would’ve loved to do DM tools for BG3, I think WotC telling them not to is a fair assumption to make.

Daily login bonus…

My bad, I wasn’t precise enough with what I wanted to say. Of course you can confirm (with astronomically high likelihood) that a screenshot of AI Overview is genuine if you get the same result with the same prompt.

What you can’t really do is prove the negative. If someone gets an output then replicating their prompt won’t necessarily give you the same output, for a multitude of reasons. e.g. it might take all other things Google knows about you into account, Google might have tweaked something in the last few minutes, the stochasticity of the model is leading to a different output, etc.

Also funny you bring up image generation, where this actually works too in some cases. For example they used the same prompt with multiple different seeds and if there’s a cluster of very similar output images, you can surmise that an image looking very close to that was in the training set.

Assuming AI Overview does not cache results, they would be generated at search-time for each user and “search-event” independently. Even recreating the same prompt would not guarantee a similar AI Overview, so there’s no way to confirm.

Edit: See my comment below for what I actually meant to say

Assuming we shrink all spacial dimensions equally: With Z, the diagonal will also shrink so that the two horizontal lines would be closer together and then you could not fit them into the original horizontal lines anymore. Only once you shrink the Z far enough that it would fit within the line-width could you fit it into itself again. X I and L all work at any arbitrary amount of shrinking though.

So is the example with the dogs/wolves and the example in the OP.

As to how hard to resolve, the dog/wolves one might be quite difficult, but for the example in the OP, it wouldn’t be hard to feed in all images (during training) with randomly chosen backgrounds to remove the model’s ability to draw any conclusions based on background.

However this would probably unearth the next issue. The one where the human graders, who were probably used to create the original training dataset, have their own biases based on race, gender, appearance, etc. This doesn’t even necessarily mean that they were racist/sexist/etc, just that they struggle to detect certain emotions in certain groups of people. The model would then replicate those issues.

I can only speak for myself. For me it felt really great being able to explore the world having absolutely zero idea of what is what, how much game is left, etc. It is reminiscent of a time when I was a kid and playing a game was exactly like that.

I even got quite sad when my friend “accidentally” told me

I totally agree with you. I was just clearing up why people bring up Spore beyond just the first stage being similar.