eva1984

Wonder how research this is, what if people are looking for more engineering oriented experience?

Github pages are good, if that could be classified as blogging, I am a big fan!

My biggest issue about Medium so far, is the content. Too much opinion, not that enough investigation, like junk food dressed as fine dining with clucky javascript.

This is a glorified article saying 'no one is buying our ads'

Transpilers with no runtime.

It could be part of the auto migration effort.

> You have to realize that MacOS, Windows, even typical Linux Desktop is not an optimal environment for a professional programmer

It is pretty subjective though. And what you can create is pretty much irrelevant to what platform you are using, it more about your brain.

Without development of technique like Dropout Batch normalization, residual connection, better optimizer like Adam, even with enough data and computational power, DL won't be nearly as powerful as it is today.

While if you consider that human achieves intelligence through a lot of supervision(homework and exams) too, I won't go directly to disclaim only unsupervised learning can be hailed as the king.

In fact, there is a discussion about the definition of unsupervised learning, because of the emergence of techniques like word2vec, where it essentially supervised learning but construct all its tasks from the data itself without any labelling.

Well said. One thing to point though, NLP leans towards the understanding of the semantic meaning of a sentence, while the article you referred here talks about speech recognition, which focuses on primarily audio to text.

Comparing to speech recognition, NLP currently doesn't enjoy the same level of success by adapting DL technique, AFAIK. By success, I mean parity with human level performance. Current techniques are far from understanding reasonably complex commands/requirement expressed in everyday language and react to it correspondingly.

IMHO, this is as hard as solving the AGI problem itself. Having a chatbot that people can talk to without realizing it is AI or not, is practically indistinguishable from mastering true intelligence, as is defined by Turing Test.

Wrong on so many levels. If AI has been well-researched in 90s, why it is DL that really pushes the boundary of several essential tasks, namely image/speech recognition, machine translation to near human performance?

I am curious about your definition of 'AI' that seems only obvious to the term 'Artificial'.

A lot of them didn't understand technology.

Talking about size, but not specific architecture is pretty meaningless at this moment.

The assumption that only when we have comparable number of parameters to the number of brain cells we can have nearly human performance is no longer true. It gradually loses traction once people discover that stochastic connections may be more effective than merely increase layers/parameters.

In terms of GDP, US is about 20-25% of the globe. It is pretty significant, but I won't go too far to say it has domination.

None of those is as big as a upgrade than a bigger screen from 5s to 6.

Seriously, look at Apple's announcements of late, it didn't feel like an event trying to wow its customers, it felts like an internal business review where executives boasting about how impressive their achievements/progress are since last one.

This is so overdue, to a company that has become so safe in mentality and lack of innovation.

Edit: look at the latest Macbook Pro, how out of touch this company has become, to put their philosophy/belief(thinner! lighter! no ports!) before true usability, to the point I feel sad because MBP was my favorite product from Apple.

I think what AI really challenges is the value of man. Our current world relies on the assumption that more people means more productivity/consumption, so more growth and stronger economy. With the potential emergence of more capable machines, this assumption may no longer hold.

How to deal with the left behind society? Trying to find them new purposes of life? How can we make sure those new purposes won't be automated in the future? Or if large portion of the population facing the problem of being jobless, is population growth/immigration still a positive thing? What about education? If we know that most of the people won't be needed in the workforce any way, is education still something worth having, except for very basic common sense?

This all leads me to think that the future might be more static and less energetic one, yet it might be more affluent than ever. It could also be more equal than ever, that most people might be under the care of some really intelligent system to spend their whole life, without really being required to achieve anything, but it will be OK, and will become the new norm. Population might decline, but they will be gradually replaced by robots, until new equilibrium has been reached.

Not really...I actually find some Python 3.x only project recently, like this one:

https://github.com/openai/pixel-cnn

That sounds great.

What I am objecting here, are those annoying cool kids try to sell their flashy green solutions, like 'A new machine learning library written in Rust' to other people, because 'yeah, Rust is better programming language than C++'.

That is what I called 'religion belief', for those people who don't really care what problems they solved, they just naively assume they are better because of the language they are using is different.

Nobody uses it, period.

IMHO, ML people are pretty pragmatic, possible due to the fact ML itself a mixed paradigm with people from different background, so they don't hold religious belief towards programming languages comparing to some pure CS background folks.

TL:DR, it is Python. And everyone already knows it.

What is the reasoning for this? I think JVM still has problem handling real large heaps, the GC stop will be unbearable..Does thing change recently?

Who said microservices don't need large heaps? The prefix 'micro' means the share of responsibility and boundary of functionality, not any hints at memory size.

Of cause JVM needs to focus on large heaps. Now it still stucks somewhere at 32GB for performance reason. And for heavy-lifting application like HBase/ElasticSearch, that is currently OK, but still makes it quite inconvenient to utilize larger memory(you might need deploy multiple instances on the same box, etc).

You can't invent a new buzzword and tell other people they are solving the wrong problem.

Shit job or no job. That is a question. And probably one should not ask Amazon for answer.

I think we need to make a clear distinction between 'Working for Google is cool' and 'There are many cool people working at Google', otherwise this cult worshiping is never going to stop.

> gives employees the freedom to make good decisions for the user

Not nearly true in any 'Data Driven' company...this dude has no idea who is arbitrating decisions in any reasonable size company...

Google is not running on AWS, and they are pretty much 40% of the whole internet.

Trump is going to open those coal mines anyway, so don't worry. US is unlikely to lead the new energy revolution in, at least the next 4 years, I guess.

Japan and Korea pretty much did the same thing, and they are not accused of lack innovation. And China is not actually lack of innovation nowadays, catch-up maybe but a strong player already.

There is nothing inherently in Chinese culture that prevents innovation. Innovated people gonna innovate, when they got the resources they need.

Poor country usually aren't very innovative, and China has become much richer at national level. To bet, there will be more innovations from China than not for the next several decades.

Agree, for me this is not a bad thing either, just a fact.

Religion is not a taboo in China, as is not welcome.