The expression f(z) = \sum_i 1/(z-\lambda_i) is called Stieltjes transform and is heavily used in random matrix theory and similar expressions are used in other works such as Batson, Spielman and Srivastava. This is all to analyze the behavior of eigenvalues which is exactly what they were trying to understand. I'd be very surprised if Aaronson doesn't know about this.
I think it is not just the library but the huge costs associated with storage, encoding and bandwidth. YouTube has innovated significantly to make it as cheap as possible to run such a service and it is likely that it would take an enormous amount of money for any competitor to replicate it.
(Disclaimer: I work at Google but no connection to YouTube)
Netflix is definitely trying its hardest to get into the Indian market and I do think they are gaining some ground recently. They have picked up a lot of new telugu movies and has basically become essential if you want to stream new movies. They also have mobile only plans at 199Rs but not sure how many such subscriptions they sell but for me at least the 649Rs plan is not too bad even if my parents watch at most 1-2 movies a month on Netflix.
If they are able to get even 2 million telugu households over to subscribe the next few years, that would be a revenue of about $150 million which I think is probably much less than the amount of money they spend on telugu content.
> If they are able to get even 2 million telugu households over to subscribe the next few years,
They may as well reach to this number. But I fail to see what can Netflix do better here than local platforms with more content and better cost structure.
No way a majority of households in AP/TL spends 649 every month for Netflix unless competition hikes their prices. Most apps are about Rs. 1000-1500 a year.
I didn't want to associate this account w/ my real name but now that you mentioned it wasn't right of me to not point that out. I added a disclaimer.
The posted algorithm and the one mentioned in my paper are very similar. It is just that the cumulative sum computation is parallelized in the posted website.
The point of this post isn’t the linear transformer algorithm. They’re surveying a variety of Linear transformers and showing a general form in order to talk at large about their performance characteristics.
Exactly lol. Not sure why everyone is taking the contribution of lean in finding the error so seriously.
I would be more impressed when some mathematician finds a more severe error in their proofs with the help of theorem provers (meaning a mistake in their own intuition).
I love this book but its focus is primarily on practical applications and not as much on mathematical foundations, which was the question, if I read it right.
The book comparable to the mathematical level of CLRS, in my opinion. Which is either an intro book or very dense depending on a person’s math background.
