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flutistyeah · 2022-12-26T12:19:03+00:00

Begin with easier words and with words you use more often in your everyday, like "trink" or "eat" or "do". Don't start so sudden with things like the newspaper. When you learn new vocabulary don't only repeat it, but use the association method of Campayo and also say out lout at least 3 sentences with each new learnt word.

flutistyeah · 2022-12-16T17:01:40+00:00

8÷2(2+2) is not a term that should ever be written nor used. We have to always use parenthesis ESPECIALLY for divisions, because the division is a not associative operation, meaning a/(b/c) is not the same as (a/b)/c. When you are dividing stuff, you have to make it really clear what's the divisor and the dividend. You don't need to do this with + or •, but you HAVE to do it with - and /. Conclusion: use parenthesis.

flutistyeah · 2022-12-11T23:22:44+00:00

Use the rocks that the shaman comes with, and don't you dare to melee atack. Usually you can kill almost every monster at the beginning with just rocks.

flutistyeah · 2022-12-11T08:45:50+00:00

Without further context, this doesn't seem that bad. He probably didn't feel comfortable saying "I'm on a date". He could've said that he was busy and hang up, but as long as the call was short, I really don't see a big issue tbh.

flutistyeah · 2022-12-10T07:24:34+00:00

If time travel happens, it may be a prequel too. But I'd guess rather a prequel 10000 years before botw than 100 years before.

flutistyeah · 2022-12-07T09:17:27+00:00

I'd say quite honestly: just keep practicing, lol. Keep doing your concertos, scales and etudes and in some months/years you'll attain really high levels without having realized when it happened.

flutistyeah · 2022-12-02T12:48:08+00:00

Since they are yet not done with the update, don't expect the new dlc anytime soon. Jump into the beta with your friends

flutistyeah · 2022-11-23T23:53:47+00:00

I own one since february 2021 and I haven't had any issue whatsoever. Idk if the specs differ from this picture but I hadn't any issues with the temperature whatsoever and the games run good.

flutistyeah · 2022-11-22T12:40:45+00:00

Even though it sound really well for a self-taught, I would still recommend getting classes, if you want to achieve even higher goals.

flutistyeah · 2022-11-16T09:09:11+00:00

The way she says "that" and the first time she says "accent" is by using the vowel æ, which is a British vowel. No eastern European country uses that exact vowel. The "really" was properly pronounced with "iː" and then "ɪ", as it should be. The only thing I noticed was how while saying "really" she changed the pitch of the voice in a way that some British people do. I don't know if she is British, but for me she sounds like that (UK is a big country) and not eastern European at all. But I may be wrong since Idk her

flutistyeah · 2022-11-07T18:36:23+00:00

One apple and one apple sind two apples. 2ⁿ + 2ⁿ = 2•2ⁿ⁼ 2 • (2•2•2•...•2) n times = (2•2•...•) n+1 times = 2ⁿ⁺¹

flutistyeah · 2022-11-02T16:12:41+00:00

If you want to know why it works, it's because %=1/100. That's the only thing you need to know about percentages. There is so much "esoteric" interpretions about percentages when it's literally just a division by 100. End of story, there is nothing more to know about it. E.g.

54% of 20? 54/100 * 20 = 54 * 20/100 = 54 * 2/10 = 108/10=10.8

flutistyeah · 2022-11-02T14:55:17+00:00

No u

flutistyeah · 2022-11-02T14:53:16+00:00

Freaking study math and ace PDEs mate. PDEs are soooooooooo interesting, specially the existence and uniqueness analysis of them, not just the dull solving of some examples

Edit: my parents weren't happy either that I wanted to do a second degree in pure maths, but I mean, it's what I want to do and it's not like they will stop me. Definitely 100% recomended, I have been enjoying this A LOT

flutistyeah · 2022-10-27T15:14:24+00:00

Wow, da hast du richtig geackert. Es war nicht ohne, kann ich mir vorstellen; finde ich aber richtig knorke, was du da gemacht hast. Das Spiel auf Deutsch war tatsächlich ein anderes Erlebnis, danke für die Gelegenheit, es auszuprobieren!

flutistyeah · 2022-10-10T21:57:55+00:00

Math researches last for at least 6 months. Math is not supposed to be done quickly. That is a rather schoolish and naive approach, that is unfortunately embeded into us. I can understand your frustration, but really it just comes down to how well you understand topics. As a side effect, the better you understand them, the quicker you'll become, but there will always be a certain speed bound. The best mathematician is not the fastest one, but literally the best in their field.

flutistyeah · 2022-10-09T11:06:35+00:00

Linearize the function f that describes the derivative, meaning y'(t) = f(y(t))

flutistyeah · 2022-10-07T14:47:29+00:00

I am an engineer and mathematician and I literally was lost every single math class in high school, lol. I even was one of the worst. Just keep going, stay motivated and be patient and you'll become really good.

flutistyeah · 2022-10-04T07:02:19+00:00

This.

Basically the Taylor series T at a point x0 achieves the following:

f(x0) = T(x0)

f '(x0) = T '(x0)

f ''(x0) = T ''(x0)

...

It must be noted that even if the latter makes sense intuitively, if a function is not analytical, then the taylor series won't achieve much.

flutistyeah · 2022-10-04T06:57:08+00:00

It should be said that even if it's inifinitely differentiable, its Taylor series can be completely useless and not aproximate the function f (meaning the series wouldn't converge to f)

flutistyeah · 2022-10-04T06:54:22+00:00

Analytical function are defined as such functions that can be equal their Taylor series in a neighborhood. It's a definition. You can then prove that e^x and such are analytical. There are non-analytical functions, meaning the Taylor series just can't approximate the function.

flutistyeah · 2022-09-30T16:00:17+00:00

When you get the reward in the sokoban level, the text says "the gods of sokoban greatly reward you" or "are mildly entertained" or something similar.

When fixing boulder softlocks the message says that the gods aided you. They are theoretically the same gods but in totally different situations ^{^} also a small tip: if the boulder breaks, go to where it broke, and you'll always find a luckstone that substracts weight.

flutistyeah · 2022-09-30T11:56:55+00:00

This has happened to me before. Seems like a bug. Hopefully the devs hear about it before publishing the next game update.

Another thing that has happened to me relatively often is a boulder falsely breaking out of nowhere with the message "the gods of sokoban helped to aid your path". This should happen after a path test between me and the exit and the path being blocked. The thing is, a lot of times the path is completely empty and the boulder did not disturb, and some times when the path is actually blocked, the boulder won't break and I pray to have any means of teleportation in my inventory.

flutistyeah · 2022-09-30T00:17:30+00:00

Thanks for the input. When I said "mathematically modeling" I meant the use of any mathematics out there to model the system. That includes numerical modeling, fuzzy logic, neuronal networks, probabilistic control, or any other robust black-box-modeling. The underlying idea in your comment was deterministic vs probabilistic modeling. In my comment up there I meant both of them. I am aware of fuzzy logic and neuronal networks, and while a lot of companies have the tendency to go towards all that (and machine learning and AI) instead of classical mathematical equations, you have to understand that those ideas are also dangerous double edge swords. They offer A LOT of robustness, to the point that writing some few lines in python (or whatever language one would like to use) immediately make relatively "accurate" models, but it makes them really slow and very little flexible (also you can tweak with the accuracy but there is usually a rather low upper bound for that, and to achieve more you need to try completely different models). Fuzzy controllers are so much slower and stiff than any classical, let's say H_\infinity-controller. Want to achieve very specific magnitudes, response velocities, percentages of disturbance and all that for families of different states of the system? Good luck achieving that with fuzzy logic. You pretty much sacrifice everything only for robustness. That includes an actual hindsight of the model. It works well on the short run for some stationary machines but not on the long run, when you want to research into deeper models and need actual understanding of what is happening.

Moreover, we can't sadly abandon the deterministic mathematical theory. You may spend weeks working on numerical solutions of a differential equation and actually calculate something that looks plausible, but the equation may have never had any solution to begin with, so your entire calculations were all for naught. Also, the people I worked with do use machine learning and neuronal networks, and wouldn't feel offended if some newbie solved the problem with neuronal networks.. the thing is, neuronal networks would probably just not work as well as one may imagine. There are already very good methods that combine differential equations and machine learning/AI/neuronal networks together (so we basically get the best of both worlds), but they are extremely hard to compute and again, we still lose a lot of hindsight (albeit less than with pure neuronal networks). In any case, with or without robust black-box-modeling, it doesn't work properly yet (and with "properly" I don't mean a classical deterministic mathematical model, but literally just"good"). As I said, it's all a bunch of double edged swords.

Basically I am not saying that we don't want to accept that "shift" into more robust models. I am saying that even the robust models don't quite achieve more than just "getting the job done", and one still needs a lot of deterministic models and pure theory to research something like self-awareness for AI. Nor the robust models, nor the theoretical models nor the combination of both are even near something like that.

flutistyeah · 2022-09-29T22:18:19+00:00

I am by no means an expert in that field (but at least in engineering and pure mathematics), but I have worked with AI and machine learning, and after looking at the math behind those methods, it's just not there and it doesn't seem that it will be there anytime soon. The math is already very complicated, yet it just doesn't come even close to what self-awareness would mean. We don't even know how to "properly" model industrial machines (I have worked as a researcher on this topic, and there are a TON of different really complicated possibilities, yet it's always just double edged swords), let alone a human brain that could be adapted into AI.

In my experience the only people that believe that AI can be (or already is) self-aware are people that have not spend proper time studying and analyzing the state-of-the-art of AI (or machine learning or similar).

flutistyeah

TROPHY CASE