We have been working on translating this for a while now. Sadly it's quite long so our translator hasn't been able to finish it until now. We'll try to get the full text out at some point. Really sorry it's taking us so long.
Oh, it's great to hear skillful translators have been working on it. I hope you don't mind this sneak preview in that case.
There's going to be character development in everyone? Even Akira?
Hmm, about Akira there are mixed messages. The interviewer mentioned him as "among the four major characters" so it looks like he is counted. Nobel said he was unlike the other three, while also saying that Yashima is free from angst because he doesn't challenge himself (suggesting that it's the weakness he is going to overcome, maybe?).
Good points. And as she gets older she gains confidence and in a sense grows out of it. PoA seems to have been a turning point. Receiving a Time-Turner is an obvious validation that she is someone special. She initially overworks but at the end of the book she finally becomes content with relaxing herself a bit.
PoA from Hermione's POV would be an interesting story in its own right.
fueling operations with VC money
I think one of the issues is that easily accessible VC money doesn't exist in Japan. I'm by no means an expert on startups and financing, but this seems to offer pretty good explanations why.
I would imagine Mercari spent a huge amount of time to get the funding (or had a more solid connection with funders to start with).
I think one of the issues is that easily accessible VC money doesn't exist in Japan.
Completely the opposite - big Japanese companies like SoftBank and most banks are sitting on piles of money they want to invest in startup. The problem is there are not many startups here and even less decent ones.
But rich doesn't necessarily mean accessible. Culture-wise, it doesn't seem to be far-fetched to believe that those banks are more inclined to put safe bets rather than big gambles.
Also I may try the Japanese version as I'm trying to learn the language and this may motivate me. :)
I don't want to discourage but I have many problems with the Japanese translation. In fact fans were quick to point out many instances of less-than-ideal word choices. (There is a whole wiki dedicated for that.) It's been understood that the translator was inexperienced in translating literatures - her forte was in simultaneous interpretation.
- Luna Lovegood speaks in a strange accent that makes her sound immature and inarticulate. (Typically using the sentence suffix -だもん.) Although, seeing some fanfictions with her making an excessive use of "you know" and "actually", that could be a possible interpretation of the character.
- Rita Skeeter is another character with a caricatured accent that is supposed to sound obnoxious (-ざます) - it's overemphasized to the extent that she "speaks" in that accent in some of her letters (but thankfully not in her news articles).
- Incarnations of spells - I know it's difficult to do it right but the translator resorted in making the character say the translated spell name that delivers the meaning and the transliterated spell name, every time a spell is cast. Like, they literally say "killing curse - avada kedavra" every time. It just looks ridiculous, especially in more serious scenes.
- Whimsical elements of riddles, jokes and songs (e.g. "Grimmauld Place", "I am Lord Voldemort") are lost, but that's okay for me. I wouldn't normally expect them translated well.
That said, most of those problems are in the dialogues. The narrative voice is relatively okay for me.
EDIT: On the bright side, I like the illustrations they added, one for each chapter. Not sure if it was only done for the Japanese edition - at least I did't see them on my copies of the original. Like these https://twitter.com/owlpostagain_/status/818032896292241408
The movies really don't like using the Invisibility Cloak, do they? Like, Harry used it every book, but not so much in the films.
I think they wanted to avoid using it as much as possible, because it's not exactly easy to create a visually convincing image of transparency without sacrificing the details of the actor's expression.
最後の ya know??ってなんなの？
ya know=you know="...なんだよね"
つまりあまり意味はない
this my dear, is what's known as a 'bot'
「これボットやで」
https://detail.chiebukuro.yahoo.co.jp/qa/question_detail/q10175679555
"She may be using near truths in her words, but she's staying within the confines of reality."
A politician's daughter through and through.
It's worth pointing out she was even cleverer in Japanese. In Japanese F never used words like "he" or "his" at all (nor "she" or "her" of course) when describing her love which would be very difficult in English.
(In English) she could've used "they" which would sound fine IMO.
Fair enough. But she wanted to sound like she were talking about a guy while actually talking about a girl. Wouldn't using a term like 'they' make it almost a give away?
In Japanese, it's perfectly natural to omit those words entirely.
Try doing some online tests for job seekers. I believe Upwork has one or two for Android and Java.
It's not worth spending too much time (tests can measure only a fraction of a developer's performance), but it can be a useful reality check.
I'm a fan of solving non-differentiable problems by describing a cost function and throwing a bunch of solutions at the wall to see what sticks, of which I consider GA to be one. I think it can do some really interesting things, and GA is one way to narrow down the search space fairly quickly and with easy parallelism. However, I'm not really sure that GA is more efficient than other kinds of random search, eg. simulated annealing, greedy stochastic search, particle swarm optimisation, or simply stochastic gradient descent with measured gradients and random restarts. Yet GA is the one that shows up over and over again, presumably due to its inspiration from nature. Does anyone know any work that makes a solid argument that GA is better than other random, gradient-free search methods?
Also, as /u/hswick mentions, ES is interesting due to the recent OpenAI work (it was the first I'd heard of it), how does it differ and how does it compare? My understanding is that it has a bit more of a theoretical basis with regards to variational optimisation (also a new concept for me). But from what I can tell from the pictures, ES is not really far from a nicely parallel version of stochastic gradient sampling.
Edit: Let me rephrase that question, does anyone know of good surveys that compare these methods in any methodical way and actually draws conclusions about which types of problems they excel at?
I would presume hidden modularity of the problem is key. GA is essentially mutation+crossover+selection, and crossover is really the unique element. (The rest is easily found in any random search/parallel optimization algorithms.) The presumption for crossover is that you can shuffle and combine two (or more) candidates to create an even better candidate, which works better if the problem can be (loosely) divided into subproblems.
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It is sad but I think the way their relationships are portrayed is very realistic and subtle. For Augusta it must be easy to see through the two's current forms to remember the people they were - she must have years of intimate memories with them. Whereas, Neville doesn't really know them enough in person.
Augusta feels much less need to interact with them in their current forms (thus dismisses the wrapper), but for Neville it's more essential to do so and he tries.