4,022 karma · joined September 30, 2014
Since simdjson is where a lot of the performance benefits come from here, would you need to compile the underlying C/C++ code on the machine that you're deploying on to make sure that simdjson is using the correct instruction set? Like what if the processor I'm compiling on has AVX-512 support, but the target machine for deployment doesn't? Does it just generate the machine code for all instruction sets and then can automatically choose to use the optimal instructios at runtime? Or does it just have to compile every time you pip install the package? I could see this being awkward if you're building a docker container perhaps, but maybe I'm just woefully uninformed.
If Dang or any other mods see this, please correct the link.
You are hand-rolling HTTP wrappers though, so I think we have slightly different perspectives :)
One of the most honest paragraphs ever written.
Seriously though, great tool and great write up. I hope something like this lands as an official cargo feature. Coming from mostly Python land at work with crazy dependencies for TF and PyTorch GPU support (On Windows sometimes!) makes me super jealous.
I can keep my account and downgrade my plan and then pay for a separate account for my Mom, then they would make about the same or even less money. They certainly won't be getting any ad revenue from either account.
I can cancel my account outright and get my content through alternative methods where Netflix is not compensated.
It seems to me the choice is obvious here and the calculus doesn't swing in Netflix's favor. Perhaps for the majority of the subscriber population it will, but that's a bit of a gamble when my generation and really every other generation after grew up knowing how to pirate whatever they wanted.
However, if they block her access I can't see any reason to keep my 4k plan. I can get anything we want on a Plex server and give her whatever she wants to watch that way.
I was already on the fence with the lack of content on Netflix, but this may just be the straw that breaks the camel's back.
Still, at $300 per pod, I really need Siri to do better than the "dumber than a bag of rocks" vibe she currently gives off for this to be at all tempting.
As someone that does applied DL for work, especially NLP, I just don't understand what Apple is doing with Siri. It's like they see low user engagement metrics with Siri and assume it's because people don't want it. Instead, everyone I know that's an Apple fan uses Google Assistant, because it just works most of the time.