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.
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.
With Trump at the WEF, it started way earlier today...
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)
Did they? All I remember him doing, and all I can find him doing, is:
In the credits he's also listed as "Seiba".
why is it dumb?
The dumb bit is them revealing his true name right away while the related anime's pre-release episode, which they're intentionally syncing up with, is putting in some effort to hide it. I'd wager plenty of people have not read FsF, although maybe I'm mistaken there. Additionally, FGO has shown that they already have the capability of not revealing true names until the time is right before, so it's not like this would've needed some crazy new tech.
As for your last paragraph, I was talking about this FsF Saber, not OG Saber.
We have quite a few more Sabers that use red as a primary or secondary color in FGO. That being said, I'd recommend not looking into that because for some dumb reason they released this Saber a year ago for New Year's with his full name revealed and everything (actually coinciding with the preview release of this very episode).
Having read the FsF LN (as far as it is released, one volume missing still), I think Saber is one of the few servants in FsF where giving away their true name too early actually detracts from the experience a little.
At least yours were taught by actual people.
My girlfriend showed me recently that one of her profs made an AI clone of himself (voice and visual) and distributed prerecorded lessons that way. Who knows if he's even writing the script for it. Probably not.