GamerNexus and Level1Techs are pretty good at that since they target a much more technical audience. For mobile devices I thought Michael Fisher is also great. High production value and has a very different style.

It’s somewhat common. On the media encoding/decoding front, Intel has been doing this with stuff like QuickSync, AMD with AMF and Nvidia with NVENC.

There were some benchmarks that showed Ryzen getting very close and in some cases beating with Zen 4 based Z1 Extreme already. They just aren’t in laptops.

All the new stuff is now on .NET Core/5.0 and up at least.

I found it easier to search for settings that are supported by it. It tends to catch things even if the wording you use isn’t the exact name of the setting. The Windows search to bring up the control panel options from before they implemented the Settings app search has never really been reliable unless you recall what it’s actually called.

OpenGL is a bit more complicated since it’s more than just a specification in practical terms. The documentation and tooling for OpenGL was really awful compared to Direct3D. This is a huge issue when developers are working on implementing features. For instance, the documentation for glReadPixels is incorrect for years and you would have to refer to the wiki for it instead. Yet, the only way you would know this is if you scoured the internet and happened to find a StackOverflow page asking about symptoms that may not even match your issue.

Thankfully, Vulkan seems to be a lot better in this regard but I still curse the heavens everytime I need to go back to OpenGL when supporting older hardware.

Iirc it’s fairly lightweight without much overhead. It’s not as heavy as running VM your PC.

They specifically called out generative AI though. Stuff like separating photographs to individual pieces doesn’t require generative AI specifically. Machine learning models that fall into the general umbrella of AI already exist for object segmentation.

It was actually a third party open source project originally lol

There’s a reason they made PowerToys Run. It’s miles ahead of the default Windows search experience.

The worst is when it’s buried in Github issues or in a header file with thousands and thousands of lines of code. Yes I’m looking at you DearImGui, your documentation is awful and I’m already being generous.

They should make any developers who are required to write documentation go through this step. It’ll be an interesting day and you’ll actually learn something… I hope.

Iirc the die area for Apple’s chips are also a lot larger and that’s expensive. It’s a lot easier for them to tank that cost because they are building them for themselves rather than selling them to vendors who manufacture products like AMD.

They always had their own fabs. Utilising TSMC for their GPU’s was a recent thing. For all the mistakes they have done, their GPU efforts are actually noteworthy but you don’t even have to compare them to ARM or other GPU manufacturers, just look at AMD, they’ve been killing it.

Don’t forget the potential oxidation issues.

That’s still something that works more than good enough without the use of an NPU. We’ll see if better use cases come out in future but I’d still prefer that power and die area go to raw CPU processing power.

I was prompted during the initial set up of my Fold 6 (Singapore SKU) on whether I wanted to enable it or not though and the option was disabled by default. So something doesn’t seem right here or maybe this is an American SKU only thing?

I gave up and used an extension to remove video recommendations, blocked shorts and auto redirect me to my subscriptions list away from the home page. It’s a lot more pleasant to use now.

This article also does a really good in depth explanation about the topic although it does get a lot more technical but if you’re interested, it’s a really good read.

It’s a common misconception but ARM isn’t inherently better at battery life than x86 though. It’s more that Qualcomm’s designs are as compared to the companies on the market that produce x86 hardware.