the person didn’t ask for qualcomm/mediatek/nvidia/endless based arm chips, he specifically asked for the new macbook(implied neo) running linux soon because the term “it” was used to refer to it. Arm can already run linux, which would be redundant question to ask.

given the pace of asahi Linux on m series macbooks youre going to be waiting for a few years

im aware of certain companies as well behind the scenes doubling down on ai workload very recently as well, so China definitely isnt alone on that front.

I went to go look it up for my old setup, turns out its mainly for the older models, as the codecs are only supported on the newer revisions of the shield tv.

though with the shield tv, one of the missing things that would be nice to have would be AV1 support (as Nvidia only supported AV1 starting with Ampere based gpus)

its still very capable, but best depends. iirc there are certain audio formats the shield doesnt support.

i personally would love a new shield using ~switch 2 soc just so i can move emulation/lower end pc onto it.

to the people who read stuff on /c/technology, likely not.

i was the same on my end, and my current phone even has a 3.5 jack (zenfone 9). i used to have aeveral wired headphones ive lost over the years.

in like 2019, i got airpod pros for functionally free, never lost them yet. then had pro gen 2 and havent lost them yet. (again functionally free in my case)

oldest phone was pixel 6, basically when google switched to tensor and added the hardware and software requirements needed for graphene team to support it.

librem 5? pine phone?

just dont expect either to be very performant or popular

i actually did this like 2 days ago and the guy agreed to at least try it out. people just need to talk about it and be honest about what is good/bad about the current state

not yet, but the wikimedia foundation has been fighting against it expecting that it would be a class 1 site and require it.

ah from shady porn sites, like spotify and wikipedia. definitely protect kids from porn there. /s

faster ram generally has dimishing returns on sustem use, however it does matter for gpu compute reasons on igpu (e. g gaming, and ML/AI would make use of the increased memory bandwith).

its not easily to simply just push a wider bus because memory bus size more or less affects design complexity, thus cost. its cheaper to push memory clocks than design a die with a wider bus.