eva1984

> technology company systematically paid its white, male employees more than other workers and unlawfully favored Asian applicants in its recruiting and hiring efforts.

Wow...this is big.

AI is a flaky term changing its meaning every now and then, and indeed, as the backbone of the hype, Deep Learning itself is rapidly evolving unlike any other fields I have witnessed.

Take CV for example. AlexNet is wakeup call for deep learning renaissance, however no one has predicted that we would go beyond human-level performance in just 3 years(ResNet developed in 2015). Same goes for AlphaGo/Machine Translation/Speech Recognition, or the latest photo-realistic stacked GAN.

All in all it is hard to predict what we will end up with by looking at history because we are in such an exciting time of ML/AI development. No matter how prestigious that person might be, his or her words affect very little what the future will actually be, only technology itself could.

Good luck. With cloud/distributed computing, I am not sure they can even do that now!

Thinking from another perspective, are those hardware just hardware? Not really, they are solutions, with tons of software supporting them. There is no point selling individual pieces, and they will not work out of box.

> In other words, all the physicists pushing into the realm of the Silicon Valley engineer is a sign of a much bigger change to come.

So this article comes all the way to this. Is there data that hiring of physicists speeded up in the recent years? And why roles they are taken? Presumably not all in machine learning, if I have to guess.

Until then, this is another effort to turn an otherwise good interview into an unsubstantiated editorial aiming for nothing but hype.

Uber already bumped its price in South Bay by somewhere as much as 50%(my daily ride from $14 to $17 then to $20) from my experience. Now I only use Uber Pool since Uber X in comparison is like 2-3 times more expensive.

That is exactly what I meant. The theory that w/o Chinese, makes languages like Korean/Vietnamese 'worse', is a myth constructed by some sino-centrists. The decision to keep or deprecate Chinese characters is political, but people find their way to adapt and evolve with the new language.

One way to disambiguate in Korean, especially North Korea, guess what, is simply using another word to replace the ambiguous one. Why keeping using a word that is causing confusion anyway?

Languages are for communicating, if there is ambiguity, ask and let the person clarify it.

In fact, zhuyin is equally bad resolving the Lion Poet as well. While in reality, no one really speaks like this.

> Now people who want to be seriously literate have to learn an additional set of characters

It is not left to you to decide what is 'literacy'. In a society that most of people using simplified characters, understanding traditional chinese brings marginal benefits, as you don't speak Shakespeare's english on daily basis.

More convincing counterexample will be nation like Vietnam and Korea, where Chinese characters have been long deprecated, are not illiterate in any way, and are doing absolutely fine.

Some traditional Chinese users often fall into the trap of associating language/writing system to their own identity, preventing themselves from thinking about the stuff they are actively objecting in a more rational and constructive way, such is this case. Simplified Chinese is here because people are happy with it and it is not limiting their expression. If the language serves the purpose of enabling communication between people, then it is a good language, and it has every reason to stay. I didn't see why a thriving language with 1 billion user base should go anywhere based on some niche group's agenda.

Yes, there are work on this field.

But so far all are just like toy examples. The big barrier here is natural language understanding, so far we have limited success even with deep learning at hand.

If eventually natural language understanding is solved, it is going to be a much bigger deal than programmer losing their jobs.

Much of so called software engineering is about assembling/wrapping other API/libraries anyway.

I don't see how ML change the scenario, instead of querying some db, you are now querying some trained models. Until we have an algorithm that could write correct code given requirement specified in natural language, the demand or prospect of software engineer as a profession will not be affected by ML/AI too much. However it is hard to predict when such technique will emerge, 10 years? 20 years? maybe 50 years.

2 GTX 1080 in this small box? Nahh, this is going to be smoking hot.

I visit their warehouse once. It is not a good job, to be put directly, everyone looks like they would jump out immediately if given a choice, which should be no surprise, since the warehouse is designed in a way to maximize automation, the stuff left for human to do is still pretty robotic.

My statement is easy to understand, a majority of claimed 100,000 jobs might be that desirable, even though they are jobs indeed. As other comments put, those jobs help little in the person future career, and is not something you can do for a long time either.

In their warehouse? Well, a job is a job, I guess.

Imagine recognition where high FPS is tough for cloud-based solutions, and expected to run in poor internet connection as well.

> western middle-class style quality

I don't think there is unified western middle-class style quality in every western country. US on average is richer than many european countries, where average wage is around 1k per month, is this middle class or not?

Much of China is still poor. There is also 50-100 million estimated Chinese now can afford modern cozy life(income 16k to 34k dollars per household), whether that is western style(air quality is certainly not :p), I don't know. Both exist, no point using one to deny the other.

Only emphasizing the poor part of China, overlooking the fact there is rising urban population seems like a lot of people are still in denial of the fact China is already a serious competitor in many fields.

http://www.businessinsider.com/chinas-middle-class-is-explod...

Government recently imposes new regulation on how much money each individual could exchange from YUAN to Dollar each year(50k usd, to be specific), that explicitly prevents the exchanged currency to be used in investments such as real estate and US stocks.

This might increase the speculation that Yuan will devalue even further this year. Bitcoin is currently harder to regulate and could be use a way to send money oversea, bypassing the 50k quota. But honestly, I don't think there are a lot of them though. Maybe someone just tries to ride the trend.

Google is HUGE company, to the point, I won't assume people from Google actually sharing anything except the fact they are from Google. There are awesome people doing world changing stuff, also common programmers doing routine work. I think a lot of people just assume they join Google they will automatically be promoted to the first league, which is not true according to my observations.

I respect a lot of awesome work from Google. But this is just really bad press.

Not that Google initiated this kind of cult in the first place, the spontaneous worship is a little overwhelming TBH.

Not a theory person, so I didn't quite follow whether or to what extent deep learning has made breakthrough on that front.

But at this moment, we are far from done playing with what we already discovered. Even as a black box, deep learning already cracked many traditional tasks to near/above human performance, and enables many application that is simply not possible before.

So, I guess we are going to more papers to come in the following years until no low-hanging fruits left.

In fact I remembered it.

But it is hardly a backlash. The users complained at the time, most of them simply didn't have a iPhone. It is more likely people saying, I won't buy a iPhone because of A/B/C.

While the new MacBook gets complains from its EXISTING user base, who feel that Apple is taking features that are useful to them away and making the product worse.

There is big difference between not giving what your user want and stripping what they are happy with.

They should. The backlash against the new MacBook Pro is unseen in history for Apple. It is totally not worthy of its current price.

I am thinking about switching to Linux too. I am no iOS developer, and I find their OS upgrade also goes to the same dead end of prioritizing flashy look above usability. After all, why paying a premium only to be ignored and told by believers that my opinion doesn't matter, at all? Time to vote with foot.

Bloomberg seems to fail to understand you cannot create engineers from ethnic minority overnight.

Oh, the media and the PC force now think they have the final say, than senior engineers, as to who to hire for technical roles. AMAZING.

Biggest market in the world, who didn't love iPhone that much.

Will you are paying a premium to Nvidia not only for the hardware, but more for their CUDA libraries, or in fancier term, ecosystem.

Most DL frameworks are banking on cudnn, which I didn't see AMD or FPGA's equivalent come anytime soon.

What does move in here mean? An App? This is editorialized non-story.

People hate it won't buy it. Survivor bias.

How? Everyone suddenly realizes they have been closet gamer for many years and comes out for VR?

Already a fulltime Engineer myself, I guess what I am looking at can be more phrased as applied machine learning, to solve production related problems. This is somewhat different than a regular engineering role though.