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google is doing the training for you...i am sure someone will capitalize on this big time.


the only difference is VW admitted wrongfulness


cool but it's sad to know that this is required to maintain gender equality


It actually proves the opposite. That there was not systematic bias.


i think it is pretty obvious there is no systematic bias against women it's more of reminiscent of an ancient culture of mistreating women...i think it is rare to find in a modern/western corporate world, group of folks who systematically and in organized way trying to oppress women


"they could go to jail for misallocation of taxpayer funds" can you site a source where this has happened before...


https://en.wikipedia.org/wiki/City_of_Bell_scandal came to mind in less than 5 seconds; I'm sure there are many others.


That's a case of corrupt officials using funds to pay themselves more money and other misuses not in the interests of the city. This isn't in the same category as using funds inappropriately for something that is in the interests of taxpayers.


I don't think those two statements invalidate each other.


I would like to see another experiment where Lee is aided by a computer and plays against AlphaGo and see who wins...some believe that human intuition working with a mediocre computer is much more powerful than a supercomputer by itself.


The disabling aspects of Dyslexia are correctable and can be overcome.


Feel like backing that up with some actual information or resources?


RIP...he died same age as Marvin Minsky who died a month ago.


Quite. Minsky was actually advisor to my company, which is based in part on his notion of common sense computing. There is much to mourn recently.


well put!!!


Is this for statistical debugging as well?


Some ideas (take it with a grain of salt)

1) You should have a rating system for experts and award different level of badges and users should write reviews also experts with high scores should have a higher pay rate

2) interviewing experts is not going to scale not only you will not have the time but you also need internal experts to interview the Become an expert" applicants (you need some fast vetting process or rely on the rating system)

3) You should collect data from StackOverFlow and other sites and see which questions novice folks are having a hard time getting answers to and try to get experts on those topics (this could become your competitive advantage)

4) You can scale this to businesses - they would certainly appreciate the on-demand help aspect of this thing. Businesses specially small ones may have support account subscriptions with vendors like Red Hat, IBM, etc...which can be costly for them. If your experts are reliable they would rather pay you only when they need help instead of paying the vendors monthly/yearly.

5) As your experts are working the problems you should keep a very organized knowledge base of the issue and resolution (maybe you can monetize this data later on or it maybe useful somehow)


Thanks for your input! The are a ton of challenges ahead, and scaling experts is one of them. But as for now, getting demand is harder than supply. Although the demand is surely affected by the quality of the experts.


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