If you are guaranteed to get something for your money then thats not gambling. Thats just a purchase.

I cannot agree with this at all. If you’re guaranteed a piece of candy, but on top of that you have a 0.0001% chance of getting a million dollars, then buying that candy for $100 is absolutely gambling and not a purchase.

I haven’t dug my teeth into it as much as I should have yet, so I can’t tell you which parts of your requirements are and aren’t fulfilled. But have you had a look at Kenshi? There’s also a sequel on the horizon.

Even within Swiss German itself, the people in the Canton of Valais speak such a strong dialect (actually a group of dialects) that most of the rest of Swiss German people don’t understand them.

I wonder if they’re talking in absolute values (not smart in this case, obviously). All those listed countries are rather small, so the same % immigrants would just be a lower number…

Part of the problem here is that AI is mostly done by companies with billions of investments and in turn they NEEEEEDDDDD engagement, so they all made their AI as agreeable as possible just so people would like it and stay, with results like these becoming much more “normal” than it should or could be

I wonder how much of that is intentional vs a byproduct of their training pipeline. I didn’t keep up with everything (and those companies became more and more secretive as time went on), but iirc for GPT 3.5 and 4 they used human judges to judge responses. Then they trained a judge model that learns to sort a list of possible answers to a question the same way the human judges would.

If that model learned that agreeing answers were on average more highly rated by the human judges, then that would be reflected in its orderings. This then makes the LLM more and more likely to go along with whatever the user throws at it as this training/fine-tuning goes on. Instead of the judges liking agreeing answers more on average, it could even be a training set balance issue, where there simply were more agreeing than disagreeing possible answers. A dataset imbalanced that way has a good chance of introducing a bias towards agreeing answers into the judge model. The judge model would then pass that bias onto the GPT model it is used for to train.

Pure speculation time: since ChatGPT often produces two answers and asks the user which one the user prefers, I can only assume that the user in that case is taking the mantle of those human judges. It’s unsurprising that the average GenAI user prefers to be agreed with. So that’s also a very plausible source for that bias.

I accompanied my friend to a random LGS in Germany sometime last year. In there, the owner told me it was the LGS Kai Budde frequents and usually played in all the prereleases at. He also showed me his signature on a poster on the wall (“If you’re actually as into MTG as your friend claims, you should recognize this signature.” is how the conversation started. I did.) That’s also where I learned of his battle with cancer and that the prognosis was dire. Despite not really being very enfranchised in MTG over the last few years, I’ve thought back to that interaction and to Kai Budde quite a few times since then.

I’m not entirely sure where I was going with that. Just sharing what popped into my mind.

I don’t know too much about Minecraft and especially not Sky Block. But isn’t the implication also that they wasted their Lava by turning it into an Obsidian instead of using water+lava to create a cobble stone generator, thus softlocking their progress entirely?

Coincidentally enough, “noon” is etymologically related to “nine”, so 10 is indeed afternoon in a very literal sense.

(Just ignore the fact that it’s originally meant to be “the ninth hour after sunrise”, so ca. 3pm)

And also token decks. If you already got tokens from elsewhere you can potentially just drop it for GG and be mana positive.

The nomination phase has a few suggestions for you, based on what you played. But if you don’t like them/want something else, there’s a button for that. Now you’ll know for next year.

I was taught to spell out until twelve, after that the *teen ones start, which are a lot more letters and space on the paper.

Of course it all depends on whatever the relevant style guide says. Consistency is the most important bit.

It’s two jokes. Firstly, “Barbarian” was a ancient Greek-“invented” term for people who don’t speak Greek (or heavy dialects of Greek). The generally accepted theory is that “Barbar” is them imitating sounds they don’t understand, similar to a modern “blabla”. Secondly, Hercules is the Roman name for the Greek Heracles.

My uni had one. Sadly I couldn’t fit it into my schedule because of overlaps and other requirements.

In the OOP’s example, that is solved by magecraft (which is distinct from “true” magic btw) losing potency by becoming general knowledge, thus forcing mages into working their magecraft in secrecy.

Both the mages and the Church work hard at keeping it a secret, albeit with different motives and methods.

*With AI review :)

Y’shtola triggers.

Y’shtola’s effect resolves.

As part of the resolution, Watcher leaves, then enters again.

Both Watcher abilities go on the stack, you decide the order.

a) The “leaves ability” returns the card that was previously exiled to your hand.

b) The Hideaway ability exiles a new card.

No matter the order of the abilities, the newly exiled card does not return to your hand and if nothing else happens, the end result is the same.

While it doesn’t say anything about IIV specifically, they sure got creative enough to sometimes subtract more than one of the smaller units from a larger one.

I kept up with the drama until about a week ago so what I’m saying here is the status from back then. Someone please add any new context if I’m missing any new developments:

From what it appeared, view counts dropped but ad revenue stayed the same. Even before this whole thing, YouTube pays out for ads watched (and clicked). Pay out was not dependent on raw view count for a long time, if ever.

This suspicious behavior of view count dropping but ad revenue staying the same is actually what tipped people off that the issue was adblock related. The fact that channels with a larger focus on a younger audience seeing less of a drop also helped.

Now those view counts dropping could still have an indirect, negative effect on ad revenue, if it, e.g. automatically leads to YouTube recommending their videos less prominently.

vegetarianism

Wait until they complain about finding a single seed in something advertised as seedless…

This is also sorta how RAW works (in DnD 5e), to quote the PHB:

Group Checks
When a number of individuals are trying to accomplish something as a group, the DM might ask for a group ability check. In such a situation, the characters who are skilled at a particular task help cover those who aren’t.
To make a group ability check, everyone in the group makes the ability check. If at least half the group succeeds, the whole group succeeds. Otherwise, the group fails.

Taking the median roughly has the same effect, it only has a chance to differ if the number of successes and the number of failures are tied.