@keyashqa@Pallavi_345 This is a (correct) example on why we can't *parallelize* everything. Asynchronous does not necessarily mean (and usually isn't) parallel code.
@_devJNS I mean, if the quality standard of most Meta's engineers is the same as the ones who shipped the latest WhatsApp webapp that consumes multiple GBs of RAM for doing literally nothing, then yes, AI will probably be better.
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@DanielW_Kiwi 2) write SQL than developers. Not to mention that, by updating EF to a newer version it can improve the generated queries automatically by leveraging new DB features. Plus, of course what others have already mentioned (type safe queries, migrations...)
@DanielW_Kiwi 1) For EF/LINQ in particular: for the same reason we (almost) don't write Assembly by hand anymore. A compiler generates it starting from a higher level language, and it's often better at generating it than a human. EF has reached a maturity level that is often better to [...]
@CodeUnloadMusic@LinusTech That's actually the space used by the page table entry, which grows proportionally with the total available RAM (since it's used to track RAM allocation), and it's not a Windows-only feature
@davidfowl It's not even a particularly heavy load. My 2019 XPS 15 can easily handle that, while having still quite spare power to use, and it's not even a new laptop...
@jupean@tomwarren All the other major OS out there are built on even older (and often worse) technology than Windows, i.e. UNIX which is from the early '70. BTW, I can't understand why MS is creating this tool, given the fact that modern Windows (8/10/11) don't slowdown anymore with time.
@peppedx@svpino Because most if not all of the libraries used for ML/DL are written in C/C++. Even most of the Python libraries are actually wrappers of C/C++ code.
@TuX_Illindi@LinusTech Compared to *NIX, Windows makes large use of threads, both at the kernel level and at user level. Over 4000 threads after 20 minutes is perfectly common as a number.
@Suleymanzade@rasbt Grand Central Dispatch has nothing to do with GPU programming, nor with multiprocessing. It's a glorified thread pool, used for multithreading.