you can't easily make a million from a single dollar that you can double spend. having lots of crypto surely helps reduce the time it takes to satisfy your greed.
This is exactly the point. A risk averse strategy is optimal for areas of a business that you do not have expertise in. If hiring isn't the thing you do best (supposedly your strengths are writing and selling software) then it makes sense to pick a hiring strategy that doesn't cause disruptions.
Student from the lab that originally developed Nengo here.
Yes! As far as I know, the company that develops Nengo (ABR) [1] is working on this with Intel [2]. Also see the presentation "Building applications with next generation neuromorphic hardware" from the NICE 2018 workshop [2] (video is available, password is on the top of the page).
I'm currently working on something I can't speak much about, but it involves heterogeneous NN, different ICs for training and for operation. Operation is that way simpler, and hence significantly faster and more paralleliable, as removes useless logic and the complexity of the "too many clock domains" hell on backpropagation networks.
Imagine soviet government running Hadoop MapReduce jobs and using "big data" to drive GOSPLAN? Would be a marvel to watch this soul-crushing efficiency machine.
GOSPLAN didn't fail because of lack of MapReduce. I don't think you could make a planned economy even with all the big data tools that exist today. There's far too much important information affecting prices that isn't represented in any database.
Fast forward to 2018, and we have Windows Subsystem for Linux, and a very popular BSD in silver aluminum cases made by a fruit company, dominate the desktop market. You could say that the year of linux on desktop is today (in some perverse modified form, but nonetheless).
That's actually a really good point (especially if one includes Android) - but "20 years later than we hoped, in a completely different form than expected" is significantly what I was trying to handwave at.
