I recently discovered a unit test file in the SymPy repository that demonstrates how to use SymPy for matrix calculus, specifically for finding derivatives of symbolic matrix expressions. This is of course very useful when working with optimization problems in e.g. machine-learning. The point is that SymPy can do this directly (in matrix form), yet this is not really obvious from the available documentation / content on forums.
Just came across this and wanted to share it here for more visibility – it's currently at 11 GitHub stars. I'm not the author, but as someone who frequently uses Typora, I've often felt the lack of certain features that are common in other tools, such as callouts. This community-driven plugin system seems like a promising way to bridge those gaps.
What I find most disturbing about this is the possibility to use real money to promote the games. Due to the misrepresentation of the chances of success this turns the platform into a gambling den for ten year olds.
"According to media reports, the cloud computing industry does not take full advantage of the existing CSAM screening toolsto detect images or videos in cloud computing storage. For instance, big industry players, such as Apple, do not scan their cloud storage. In 2019, Amazon provided only eight reports to the NCMEC, despite handling cloud storage services with millions of uploads and downloads every second. Others, such as Dropbox, Google and Microsoft perform scans for illegal images, but 'only when someone shares them, not when they are uploaded'." [1]
So I guess the question is what exactly "others" are doing, 'only when someone shares them, not when they are uploaded'. The whole discussion seems to center around what Apple intends to do on-device, ignoring what others are already doing in the cloud. Isn't this strange?
I think this should only work if you could reasonably be assumed to be unaware of the existence of any look-a-likes (including the celebrity) you don't have a permission from.