>>Only restrictions on the production of plastic and cardboard (!!!) work.
Agreed. we need to price in the externalities into the cost of manufacturing, else it will always be a tragedy of the commons
macros in rust have access to the AST as well and is used a TON in language.
AOP is at times tricky to debug, but super useful for cross cutting concerns.
A lot of FUD articles use that word, and your first link is probably the most factual. But FYI the only Tupperware products that have had BPA are those made using polycarbonate (PC), which is a hard and brittle plastic very different from most of their products and not the first to come to mind upon mention of the brand; on the other hand, the semi-flexible containers they're most known for are PE/PP, which don't require plasticisers at all.
I am here as well. It looks like La Nina this year. Even though it has rained a lot the weather is still incredible. I originally come from Cape Town and Medellin is the most perfect weather I have ever lived in.
having a hardware encoder and decoder on a device is super useful for streaming content of that device. Not sure I would want to use other compute for that, that compute is much better used doing CV on the video stream :)
Why do you think so? Those tensor processors are actually already optimized for video processing: all of the complex postprocessing in the iPhone camera app is done by the tensor cores inside the M1 chip. I wouldn't be suprised if it would already far be able outperform the mentioned codecs, but of course it needs lots of software development that can only be done by the big companies.
A codec it’s static, almost not changing at all over a decade. This allow you to implement it as a single purpose hardware which is orders of magnitude more efficient and fast than code running in a multipurpose chip, tensor or not.
For things that evolve fast, as deep learning, an programmable chip is the right choice.
The iPhone doesn't yet use M1. Besides, post-processing a video is one thing, encoding is completely different. What Apple does with the neural processing is most likely the analysis of the content, not the "editing".
In something like a mobile device, every watt counts. If it takes more energy to decode video on the tensor cores than it does to have a dedicated hardware block, you keep the hardware video decoder.
