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This is propaganda


This "new technology will create new jobs" is the biggest lie that economics ever told. The crises in the midwest in this country and the subsequent election of Donald Trump is a direct result of the displacement of American workers by technology and offshoring.


Scala is useful in big data and ML, apache spark is written in it. It works very well for data transformations


Even if you omit all the activity related to Spark and ETL, I see nothing but growth in libraries, frameworks, job openings, meetups and conferences.


I personally love the language, its rare to find a language that supports both object oriented and functional programming styles, while at the same time being able to access all the libraries available for java. Its definitely easy to shoot yourself in the foot given the complexity of the language, but if youre a senior engineer and dont need to worry about poor coding practices on your team, the functional abstractions are very powerful.


It is however the push recently in Spark seems to be for better/faster Python support more than anything else. Probably because Databricks makes it's money from it's hosted notebooks environment which caters more towards non-engineers (who in turn would be more put off by having to learn Scala I'm guessing).


more marketing from fast.ai. Its in every single ML thread


I found fast.ai the best resource for learning ML/DL out there. So, while I'm not associated with them in any way, I wouldn't hesitate to recommend it as a course for anyone interested in learning more about ML/DL. Not sure that would count as marketing if I were to do so...


The only person from fast.ai that comments on HN is me. Any other comments that mention fast.ai are from users of the courses or software.


I am not affiliated with fast.ai in any way, I just went through the MOOC and read their writing in all its forms - papers, blog posts. Yes, I like what they're doing a lot.


FB and Google are the only ones pushing the industry forward. The huge amount of data and computing power is what brings these researchers, its not all about money. In the long run the scientific advancements from these companies is a much higher positive than the negatives they have in the present.


Any researcher in this area worth their salt can easily get cloud credit grants and collaborations from Google, Microsoft, Amazon. I pose if you go to Facebook, it's very much about money.


What actions by Facebook do you see as particularly heinous above what's done at Google?


Can't speak for the parent but for one thing I don't recall reading about Google messing with 600,000 users’ emotions without their knowledge.


But can they get the huge volumes of data they have tagged out? The real time pipelines and internal tools? The community of people they will be working with?


>>> FB and Google are the only ones pushing the industry forward. The huge amount of data and computing power is what brings these researchers, its not all about money. In the long run the scientific advancements from these companies is a much higher positive than the negatives they have in the present.

> But can they get the huge volumes of data they have tagged out? The real time pipelines and internal tools? The community of people they will be working with?

It's highly problematic when a researcher pushes ethics aside in order to gain access to data and chase "long run ... scientific advancements."


the huge volumes of data they have

See https://en.wikipedia.org/wiki/Fruit_of_the_poisonous_tree


This is incorrect, in my opinion. FB and Google are where capital is currently concentrated in the software industry; therefore, they are able to hire a lot of the top software talent out there. This talent is responsible for pushing the industry forward, and it often does so in a manner that is largely company-agnostic. This is why we get React help pages telling us to use Enzyme from AirBnb for running tests - because the work is being done by software developers who are building general infrastructure for the web, and who would probably end up doing the same basic work regardless of who was paying their salaries.

It's best to think of Silicon Valley as two entities: a mass of technology workers who build software, and a financial extraction function that attempts to extract value from the work they do.


In the long run the scientific advancements from these companies is a much higher positive than the negatives they have in the present.

That’s really the main question, isn’t it?


tell that to the royhinga who were betrayed by facebook and subsequently killed.

i'll be waiting for the scientific advancements to be useful to the public. so far they've increased rates of depression, anxiety, etc while enabling totalitarianism.


I love NYC


Why is this in the comments section of every AI article?


This used to be true. Small HFT firms can find a niche thats profitable, but thats because there isnt enough money to be made by the big firms in those niches.

In the last few years there has been massive consolidation of the smaller HFT players, the space is commoditized and controlled by a few firms.


Yes, consolidation and layoffs. Go see how many KCG guys were kept by Virtu. If anything the industry has gotten smaller. People are just buying up flow now. There are no "big" HFT firms when compared to proper buy side.

> the space is commoditized and controlled by a few firms

Few firms != big firms


Yeah its funny, I still read outrage about those greedy "HFT players", as if HFT was still highly relevant. It was a blip in time of the financial markets when no one had high speed trading but a few. The alpha has been washed away.


"c[1] is a bitch" - most HFT quants past few years

[1] - https://en.wikipedia.org/wiki/Speed_of_light


> The alpha has been washed away.

whats that mean?

so what are quants on the street doing now?


Quant !== HFT


whats the diff? What are people working on hft solutions called then?


any resources or further reading u can point me to?


This isnt true.


HFT is not profitable. Its completely commoditized.


I would think commoditization of HFT is impossible by definition due to the fundamentally competitive zero-sum nature of securities markets.


[flagged]


You already know the answer to that based on your cocky response. It still would help those of us less enlightened than you to understand how something as specialized as HFT can be commoditized. The simplest CRUD apps that any Bootcamp graduate can produce are not commoditized even though hundreds of thousands or even millions of people can build them.


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