3,182 karma · joined March 9, 2019
This conception is more mythos than reality. You should look at some of the early laws passed in many of these countries if you think we had a tradition of "strong" natural rights that are only being abrogated in our modern era.
It used to be illegal to publish content critical of the government [0], not to mention the fact that the franchise was restricted to those holding property, and definitely not considering ongoing active slavery.
I don't understand your connection to demonization of the poor.
Arithmetic coding with LM conditioned probability has been done before and it's not a particularly complex idea to implement, I don't think it is critical that the code be released.
> We definitely need non-academic, non-Python machine learning implementations
There are two things here: training and serving/inference. We already have non-Python implementations for the latter and I don't think we're in "definite" need of the former.
Why? It is static.
Maybe work on your reading comprehension?
Definitely - it is hard for many to grasp how productive a single engineer can be in putting together a project that looks quite polished and professional.
But also, some people are just mean.
Chromium is a browser.
Yeah but likely not for tens of thousands of years in the void between space + cosmic radiation?
They probably are private-equity/venture-funded and are a bet on trying to capture some of the market which they can monetize for more than they spent on the auction.
e: well they appear to be a class B corp, so actually perhaps not
I fail to see how the remedy proposed by the EU (this bidding/auction method) is benefiting me, the consumer, when the most popular Google alternative is eliminated from the options because they don't monetize as aggressively.
Doubtful, given that we've been able to recreate multicellularity evolving in the lab. The initial jump to life, not so much.
Do we just use FAANGs to mean every West coast software company? Because otherwise it is very typical of non-FAANGs as well.
Yes and?
In no world are SWEs "relatively speaking" little people compared to lawyers.
Interview practices aside - I find them to be fun puzzles and know plenty of accomplished CS/math people who do too. I understand the anger at corporate tech practices but let's not malign those who find the questions interesting.
Disagree - at least in my experience in urban school districts, they were definitely the majority of good teachers.
How do you propose you have voltage in a conductive medium (pipe) without current?
To me, it's not a bad analogy (nevermind you that electrons flow the opposite direction of current) - and I am well-versed in physics.
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 like "spring" literally get lost in translation.
2. This article is trying to dumb down what Google is doing - but you're right that this is why ambiguities get lost in translation, due to pre-training on a different language pair.
That said, there isn't literally a process of "translate into english" and then "translate english into german". These models are trained on Russian-German corpora, but because there is little resources for that, they are supplementing with Russian-English and English-German.