Exactly, only twice as common. To put in other words: For every two times someone says “free as a bird”, one person says “happy as a clam”.

That is much narrower than the gap between something commonly said and something rarely said.

I can believe it insofar as they might not have explicitly programmed it to do that. I’d imagine they put in something like “Make sure your output aligns with Elon Musk’s opinions.”, “Elon Musk is always objectively correct.”, etc. From there, this would be emergent, but quite predictable behavior.

Titanic height should be -12,000ft.

I know you’re just making a snide remark, but we’re already well on that track too.

Maybe that specific tweet was fake (or bait), but I do remember it from back then. There was a whole slew of easily misinterpreted posts on all social media around the release of the cyberpunk game and then again around the release of the anime.

(because it was trained on real people who write with those quirks)

Yes and no. Generally speaking, ML-Models are pulling towards the average and away from the extremes, meanwhile most people have weird quirks when they write. (For example my overuse of (), too many , instead of . and probably a few other things I’m unaware of)

To make a completely different example, if you average the facial features of humans in a large group (size, position, orientation, etc. of everything) you get a conventionally very attractive person. But very, very few people are actually close to that ideal. This is because the average person, meaning a random person, has a few features that stray far from this ideal. Just by the sheer number of features, there’s a high chance some will end up out of bounds.

A ML-Model will generally be punished during training for creating anything that contains such extremes, so the very human thing of being eccentric in any regards is trained away. If you’ve ever seen people generate anime-waifus with modern generative models you know exactly what I mean. Some methods can and are being deployed to try and keep/bring back those eccentricities, at least when asked for.

On top of that, modern LLM chatbots have reinforcement learning part, where they learn how to write so that readers will enjoy reading it, which is no longer copying but instead “inventing” in a more trial-and-error style. Think of the videos on youtube you’ve seen of “AI learns to play x game”, where no training material of someone actually playing the game was used and the model still learned. I’m assuming that’s where the overuse of em-dash and quippy one liners come from. They were probably liked by either the human testers or the automated judges trained on the human feedback used in that process.

It says “people” not “percent of people”. I think 10 per year (and 50 in 1986) is quite the opposite of “a lot”.

Yes I love over-analyzing memes until they’re not funny anymore, why are you asking?

Assuming clockwise rotation (when viewed from the top), yes.

Different person here.

For me the big disqualifying factor is that LLMs don’t have any mutable state.

We humans have a part of our brain that can change our state from one to another as a reaction to input (through hormones, memories, etc). Some of those state changes are reversible, others aren’t. Some can be done consciously, some can be influenced consciously, some are entirely subconscious. This is also true for most animals we have observed. We can change their states through various means. In my opinion, this is a prerequisite in order to feel anything.

Once we use models with bits dedicated to such functionality, it’ll become a lot harder for me personally to argue against them having “feelings”, especially because in my worldview, continuity is not a prerequisite, and instead mostly an illusion.

His Hyprland setup looks cool if you’re into that sorta thing but it’s just not what users just switching to mint, fedora, whatever might be looking for.

I would not underestimate how much of a draw “it looks cool” can have on people who are not tech savy at all. If you think about what drives new phone purchases, their major version upgrades always include lots of things that are nothing but eye-candy and those are often heavily featured in their promotion material.

If the goal is to get casual users to convert to Linux, I would argue that aesthetics is a lot more important than ANY talk about technical details, privacy, etc. If those users cared about those things, they would’ve switched already.

Now my bigger worry is that those users will bounce off before they manage to get their setup to look as (subjectively) cool as his.

A lot of the combinations with 🦋 + rare emoji end up looking like that, just putting the rare emoji as the head and tip of wand and coloring the “humanoid with wings” body in the rare emoji’s color.

I’m not saying it’s definitely not GenAI, but it’s also something that can easily be solved with an explicit algorithm.

Most emoji work that way, they have a few templates and then paste the other emoji into predetermined places.

It didn’t play the animation for me (only the comments made me realize it was meant to be animated).

Him just standing there NOT dancing made this so much more funny and relatable to me.

Assuming each user will always encrypt to the same value, this still loses to statistical attacks.

As a simple example, users are e.g. more likely to vote on threads they comment in. With data reaching back far enough, people who exhibit “normal” behavior will be identified with high certainty.

It is dead AND alive before you check and collapses into dead XOR alive when you check.

But yes, the short description also irked me a little. It’s really hard to write it concisely without leaving out important bits (like we both did too).

Sure. You have to solve it from inside out:

• not()…See comment below for this one, I was tricked is a base function that negates what’s inside (turning True to False and vice versa) giving it no parameter returns “True” (because no parameter counts as False)
• str(x) turns x into a string, in this case it turns the boolean True into the text string ‘True’
• min(x) returns the minimal element of an iterable. In this case the character ‘T’ because capital letters come before non-capital letters, otherwise it would return ‘e’ (I’m not entirely sure if it uses unicode, ascii or something else to compare characters, but usually capitals have a lower value than non-capitals and otherwise in alphabetical order ascending)
• ord(x) returns the unicode number of x, in this case turning ‘T’ into the integer 84
• range(x) creates an iterable from 0 to x (non-inclusive), in this case you can think of it as the list [0, 1, 2, …82, 83] (it’s technically an object of type range but details…)
• sum(x) sums up all elements of a list, summing all numbers between 0 and 84 (non-inclusive) is 3486
• chr(x) is the inverse of ord(x) and returns the character at position x, which, you guessed it, is ‘ඞ’ at position 3486.

The huge coincidental part is that ඞ lies at a position that can be reached by a cumulative sum of integers between 0 and a given integer. From there on it’s only a question of finding a way to feed that integer into chr(sum(range(x)))

It’s a bit of a weird article indeed. I also fully disagree with the author’s notion that reading a VN is faster than watching the anime equivalent. And I say this as someone who enjoys reading VNs every now and then. If I wanted to optimize the story/spent minute ratio I would just watch an anime or even better, read a manga.

Overall I hope the article can push a few people who were on the fence to the try reading a VN to finally do so. I doubt it’ll affect anyone who was not very interested already. Likewise it also won’t do much for people who already took the plunge.

Also I think DDLC isn’t a good starter VN at all. All the meta stuff will be lost on the reader and the time before the twist is a real slog that might easily turn people off VNs forever. I would argue the only reason it worked is because streamers had their chats pressure them into continuing and “normal people” had friends who told them the same.

There was a fan translation, so fans were able to “complete the series in English” for quite some years already.

While I was quite happy to see it fimally get an official English release, I kinda hate this article not even mentioning the fan translation in passing.

In Season of Discovery, yes. Not on classic though. It was “just” the equivalent to Warchief’s Blessing.

They added a few minor changes such as giving Druids access to a new weapon type and an equivalent buff for Alliance which was previously Horde only and a new Guild UI. Those were all things that were part of Season of Discovery.

There shouldn’t be an endless grind, and from what I’ve seen in other interviews, Larian understands that too. They have a couple things they still want(ed) to work on and then move on to their next project(s).

They definitely shipped a complete product last August. So complete that a lot of the industry, or at least a loud minority, was getting upset at the raised standards (lol). I don’t see how any consumer could complain.