I think we can agree that what you do and what your salary "come from" can be distinct and can be influenced by other things. There are engineers at FB whose sole job is maintaining REACT.js but they are paid from the money made from selling data.
Further, and I want to make it clear that I don't mean this as a value statement, but is a printing company what most of us really think of a the "tech" industry? and by extension does that really make you the subject of what you are replying to?
To us this seems very easy and I too have designed my own portfolio webpage for instance, but really do you think my nearly 80-yo grandpa or even my peer and best friend from high school who has those pesky 12-hour nursing shifts between all of her downtime has the ability or more importantly cares to do this? the desire and wherewithal to design a webpage is still a very niche interest.
Sure, but in the above user's hypothetical, that would mean that in such an area a concerned human driver with a greater ability to predict general human behavior would have a statistical safety improvement on the autonomous vehicle, which might not understand, for instance, that since it's a Friday night and the big game just ended and I'm in the city center I should be more careful than usual because there will be more intoxicated people.
Which is a lot of high level reasoning and inference with information from a variety of sources which aren't on the face of it strictly related to the driving task.
I think it's disingenuous to say that it's a more common failure mode just because you see more of those failures. More realistically, if an organization has a good sales ability but no product, with some rare exceptions where people are hoodwinked etc., they just don't get to step up to the plate, i.e. They are not given the chance to fail because nothing happens and they don't get funded.
considering they're the author of a python based machine learning library I would sure hope so. Still it seems like a pretty grievous oversight in writing the dang thing at all considering how at least in my fields of research memory-ful networks are increasingly popular.
yeah this was my main problem, I guess he is technically right because they are geometric but many of his analogies like the paper crumpling were deeply misleading as they would imply that the transformations are linear. The fact that they are not is fundamental to neural networks working.
not necessarily, depending on the usage RNN based models are sometimes trained in both directions, i.e. for every sample of say videos show it to the network in its natural time direction and then also reversed. This is motivated some say to eliminate dependence on specific order of sequences but instead to train an integrator.
So, time's arrow can be reversed, and the model can thus extrapolate both forward and backward. Cool!
However, that doesn't actually eliminate the axis/dimension. Eliminating timestamps only makes the dimension a unitless scalar (IOW 'time' tautologically increments at a 'rate' of 'one frame per frame').
This is so bass akwards, but of course as a non tech based septuagenarian it's not like I expected him to have an actually informed decision on this important issue.
But if anything net neutrality protects the voices of smaller media which, other than fox, many conservative media e.g. breitbart fall into that category. CNN wouldn't like it but they could pay for a network fast lane, Alex Jones or TheBlaze wouldn't nearly be able to compete!
