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I had issues with the docker container on Debian 9. I think the container is only tested on Ubuntu.

The argument from the parent posts rely on ACA being repealed already. If the ACA does get repealed then the above arguments hold but this hasn't happened yet.

1. Who can pay 10 trillion Dollars: The assets aren't sold in a big package all at once.

2. The economical effect: A bunch of companies get what they pay for. This may create economic growth.

3. Not enough liquidity in dollars: We could always print more dollars

4. Would the US accept other currencies? : Who knows but most likely American Companies would buy American Assets.

I think its more of the opposite. Technology creates spheres of influence in the countries that they operate. Traditional governments attempt to reign it in (this is usually effective if they are a company with ad revenue or they want to follow local laws. But when you cut down one sphere another grows to replace it.

It seems like right now "superhuman AI" is a buzzword that people like to use when they want to be covered by the press. I'm surprised OpenAI didn't chime in. Physicists seem to use Aliens or multiple dimensions for this purpose (But some also use AI for the same effect).

It sort of distracts people from actually asking real questions like how to use AI / ML responsibly because the former doesn't require much to speculate about.

They have issued tagged with the bug report and adding more arguments to named tuple and to general functions seems to be the issue. The motivation for some of these changes were due to automatic code generation.

See https://bugs.python.org/issue18896 and https://bugs.python.org/issue12844 for more information.

Also, Django 1.3 had issues with 255 arguments for named tuples.

To my knowledge there are no "AI Bots" that are involved in language design. Code generation is possible. Also solver aided languages See https://emina.github.io/rosette/

iPhone X 9 years ago

Because people are lazy to remember passwords and or setting pin numbers on their phones.

FaceID and TouchID are compromises for an actual password or pin. Also, setting these things up force you to set a 8 digit pin.

I think the iPad pro is more targeted for the kind of work that an executive does. Docking stations / plugging into any screens don't seem like something that has been well thought out and I don't think that Apple's strategy right now is to market to that kind of audience.

The social contract of open source is to give away code and time to open source to enhance the community and software. The problem that open source projects really have is that raising and or selling a product is a goal that not every person with a successful project has.

If you want to actually have people pay for open source you should look into making a grant style system for people in open source that is targeted to maintainers. Google Summer of Code and Aigrant are good examples of this.

I think a bunch of people are giving Verizon a hard time for this program but it at least has a much better value proposition than any other advertising system most people interact with. Google and Facebook slurp all your data with the justification that they will be able to personalize it better and you get nothing in return. Hopefully this may set a precedent so that others may follow.

Although I agree with the top post that reproducibility of results is important I think software engineering principles are severely lacking in many data scientists. I attempted to deploy other peoples models as a research assistant and the lack of understanding of code style conventions was a big issue. Even now when I go through some new ML system on github many of them have code style issues.

As an aside in academia to share other peoples results you basically need to create a virtualbox image to make it reproducible. I think docker would work but it may be too complicated.