MiroF

11 ms·

91.
by MiroF 6y ago
Just gave that a read. 1. It is pretty out of date (ML is a fast moving field) - I doubt Google is using LSTMs for translation in 2020. > Since the intermediate language only ever sees English as a source or target language, ambiguities
92.
by MiroF 6y ago
> these bubbles only represent a small fraction of the totality of these places, You are substantially under-estimating the size of the urban population of these countries if you think that the major cities only represent a "small
93.
by MiroF 6y ago
> That's why they are willing to compete for competent engineers. The skyrocketing wages for engineers are because until recently, tech companies were illegally conspiring to not compete for competent engineers.
94.
by MiroF 6y ago
> 10x developers If they're causing code quality slide, they're not a "10x developer."
95.
by MiroF 6y ago
> They WANT to work under heavy regulation Well good, I hope they'll be appreciating my no vote on 22.
96.
by MiroF 6y ago
Ah yes, the average Uber customer as the "little man."
97.
by MiroF 6y ago
The well-being of others in the society I live in is of concern to me.
98.
by MiroF 6y ago
> Seems like the fact that there is constantly surge pricing and long waiting time means that there are too few Uber drivers, even in "low quality" cars, to meet demand. Your complaints sound like the old joke about prison food
99.
by MiroF 6y ago
Uhhh.. I just translated the exact same sentence from wikipedia in Google translate and got: "The juvenile protection procedure aims to deter and rehabilitate juvenile delinquents, and as a process up to the decision, "send and no
100.
by MiroF 6y ago
> This is due to the fact that internally "пружи́на" is translated to English first, resulting in "spring" Do you have a source that that is actually what is happening behind the scenes? I work in this field and would
101.
by MiroF 6y ago
You're absolutely right with your impression of GPT/these models - they will generally generate plausible text. And it is also worth noting (as you've sort of mentioned) that appearance of fluency can bias translators who are
102.
by MiroF 6y ago
Yeah, there's lots of phrases that can be unexpected when you first run into them - so I can get how you'd find it confusing. I don't just mean 'rich countries'/'poor countries.' First, because that i
103.
by MiroF 6y ago
> Languages that aren't related are not, regardless of whether you have a large corpus to work with The size of the corpus makes a huge difference. I don't see how can both be true that a. there is this massive failure of trans
104.
by MiroF 6y ago
"the disfluent but more likely accurate results" -> Human evaluation does not agree that PBSMT is more accurate than NMT. Sure, the fluency/"sounds good" gains from NMT are much larger than the accuracy gains, bu
105.
by MiroF 6y ago
> It's literally unusable It's not "literally unusable." Even for language pairs with poor translation, it considerably saves on manual translation time if you can have a translator look over sets of already translate
106.
by MiroF 6y ago
> english <-> east Asian languages I'm curious what the domain is and what languages you're talking about, it's hard for me to evaluate your claims otherwise. I would buy it for English -> Tibetan for instance.
107.
by MiroF 6y ago
Mm... I think you'd be hard pressed at this point to find any advantage that traditional methods have over deep methods. Maybe this was true 4-6 years ago, but no longer.
108.
by MiroF 6y ago
> more distant languages, low resource translation is definitely still bad, you're right. > near perfect translation just by putting each word through a dictionary, and the neural networks can disambiguate things and smooth over
109.
by MiroF 6y ago
I don't think I'm emphatically stating it, but I can see how you would read it that way. I added a clarifying reply, but it is too late for the comment to be edited.
110.
by MiroF 6y ago
To be clear - I'm not stating that there aren't legacy preferences or that the increased admit rate is solely or even majority due to the high test scores - it's not. A legacy with a 1600 has a substantially higher chance, du
111.
by MiroF 6y ago
You're the first person to use the word "peasants" to refer to non-legacy applicants and I in no way think there is some sort of "intellectual" superiority or elite class of people in the US (well, economic elite -
112.
by MiroF 6y ago
I'll try to find a source for that, it's somewhere in the SFFA trial documents but I'll need to go back and look. But to be clear: I'm not trying to claim that there is no legacy preference and that it can be all explain
113.
by MiroF 6y ago
That's not what a legacy admit is defined to be.
114.
by MiroF 6y ago
I'm not claiming it's a deterministic process, but it is worth noting that Gtown is the best in DC
115.
by MiroF 6y ago
This podcast is presented as if testing is an American phenomenon - but it hardly seems like it. If anything, the extreme parental backlash against testing seems more of an American phenomenon. I've had the opportunity to apply for a f
116.
by MiroF 6y ago
> There are many poor people in Thailand but many very, very wealthy people and you might not be able to recognise which is which. The wealth divide is very big. Of course - this is true of most countries in the global south since the 80
117.
by MiroF 6y ago
This seems like just classic poorer country trying to milk money out of rich westerner (well minus the floor dropping out that sounds awful)
118.
by MiroF 6y ago
PHP is literally the only language banned in some major tech companies because of how dysfunctional it is.
119.
by MiroF 6y ago
That is for undergrad, and it's worth noting that the average test scores of an admitted legacy student > the average score for all admitted students. Yield calculations have a lot to do with legacy admission rates.
120.
by MiroF 6y ago
JS is losing out to TS long term. Python is getting Mypy. PHP (and Ruby) are dying much more rapidly than many of their peers of similar ages.

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