165 karma · joined May 28, 2015
Have you ever run into any mathematician that praised the calculator for his/her career? I’d be really curious to read about that.
I would argue this makes any further move by Russia in that space quite problematic.
Nice write up, thanks for sharing it. Would you know of any introduction to back-propagation written in a similar fashion?
I am really intrigued by this (and I don't find it excessively weird). Would you have any material to recommend if one wants to understand how it works and why before actually trying it?
I think the impact on VC is probably more direct, but, given what is happening all over FAANGs, I would imagine there could be some causal relation there, too?
The fact that the two (possibly three) top players of the tournament played for the same club is something to ponder about I feel.
I recently noted the same while watching Severance. Almost all of the episodes, barring one or two, were directed by Ben Stiller. I found it one of the best (first) series ever.
What makes you think they will protect the "individuals"? From a privacy persepctive, I would say they have no clear incentive in doing that, given individuals are the product they sell to companies that need to push ads into society.
This seems to me quite a deep insight. But how would you formally define a process that is gradient-based?
The topic discussed in the Twitter thread, on the other hand, is much more interesting. I am a layman in ML (although I have implemented a NN myself, but I am not a data scientist) so I offer my view hoping to get some feedback and be corrected. My view is that the original post was correct and LeCun was not. I just can't see what sort of objective function you can use to solve every potential problem arising in the future about similar issues. You want a "totally unbiased" model? Then, you use total diversity in your training set? Can't it happen that the model will then enforce diversity in a non-diverse picture? Is that your ideal result?
That might be a silly example and maybe not 100% correct for the example discussed, but, in general, my layman feeling is just that ML cannot help in cases where moral judgement is required. It can provide a good tool in any other case where, for example, a quadratic error is a reliable error measure, but that seems a hard limitation.
[0] - https://www.amazon.co.uk/Relativity-Routledge-Classics-Bertr...
class Derived : public Base<Derived>
[0] https://en.wikipedia.org/wiki/Curiously_recurring_template_p...What was the lesson you learned specifically from this?