Let me guess without reading: kernel-level anti-cheat?

Sounds about right. There are some valid and good use cases for “AI”, but the majority is just buzzword marketing.

Block it and move on with your life?

The main thing (by far) degrading a battery is charging cycles. After 7 years with say 1,500 cycles most batteries will have degraded far beyond “80%” (which is always just an estimate from the electronics anyway). Yes, you can help it a bit by limiting charging rate, heat and limit the min/max %, but it’s not going to be a night and day difference. After 7 years with daily use, you’re going to want to swap the battery, if not for capacity reduction then for safety issues.

Technically, wired charging degrades the battery less than wireless charging, mainly because of the excessive heat generated by the latter. The same way slower wired charging generates less heat. Lower and upper charging limits also help (the tighter the better).

But I personally don’t bother with it. In my experience, battery degradation and longevity mostly comes down to the “battery lottery”, comparable to the “silicon lottery” where some CPUs overclock/undervolt better than others. I’ve had phone batteries mostly charged with a slow wired charger degrade earlier and more compared to almost exclusively wireless charging others. No battery is an exact verbatim copy of another one. Heck, I had a 2 month old battery die on me after just ~20 cycles once. It happens.

Sure, on average you might get a bit more life out of your batteries, but in my opinion it’s not worth it.

The way I see it with charging limits is that sure, your battery might degrade 5% more over the span of 2 years when always charging it to 100% (all numbers here are just wild estimates and, again, depend on your individual battery). But when you limit charging to 80% for example, you get 20% less capacity from the get go. Unless of course you know exactly on what days you need 100% charge and plan your charging ahead of time that way.

Something I personally could never be bothered with. I want to use my device without having to think about it. If that means having to swap out the battery one year earlier, then so be it.

The list of “Healthy Games” is a great resource to have!

The article links an article from March '24 talking about the introduction of these devices that contains this part:

The scanner that Adams and police officials introduced during Thursday’s news conference in a lower Manhattan station came from Evolv, a publicly traded company that has been accused of doctoring the results of software testing to make its scanners appear more effective than they are.

So they could never be trusted but were still allowed to proceed.

Technically no, but if you want to install apps from the App Store, then yes.

I expected something more shocking when I read “working with Russia”.

Kagi uses multiple search backends, and of course it needs to forward search terms to these backends. These backends probably can’t trace the searches back to the individual Kagi user though, but Yandex could still analyze search trends for example.

What’s worse is that - unless they use Yandex’ API for free - customers indirectly (and likely unknowingly) support a Russian company with their paid Kagi subscription.

Kagi should at the very least release a statement about this claim.

Happy cake day!

Bitwarden keeps working just fine.

I’m no expert here, but I’m pretty sure branch prediction logic is not part of the instruction set, so I don’t see how RISC alone would “fix” these types of issues.

I think you have to go back 20-30 years to get CPUs without branch prediction logic. And VSCodium is quite the resource hog (as is the modern web), so good luck with that.

Can’t you store them in a cache that keeps images that have been accessed in the last 48 hours (or whatever) and deletes others? Should someone request these images after that, cache them again for 48 hours.

I always hear power efficiency as an argument that ARM chips are magically better at, but Ryzen AI 300 and Intel Core Ultra 200V series seem to be very competitive with Qualcomm’s offering. It’s hard to compare 1:1 as the same chip in different laptops can be configured very differently in terms of TDP and power curves and the efficiency “sweet spots” aren’t the same for all these different chips. Core Ultra 200V is also awaiting more thorough testing, but it seems to be right up there with the Snapdragon.

I honestly found the Snapdragon X very underwhelming after all that marketing of how much better it was than Apple’s M3 and Intel’s and AMD’s offerings. By the time the Snapdragon was actually available in end-user products, AMD’s and Intel’s competing generations were right around the corner and we’ve also seen a vastly improved M4 chip (although only in an iPad so far, so meh). Add to that the issues that you’ll encounter because while Windows’ x86 to ARM translation layer has certainly improved, it’s nowhere near as seamless as what Apple did.

To me it felt like previous Windows on ARM attempts: promised a lot, released with problems (mainly compatibility this time), then quickly forgotten because x86 chips caught up anyway.

See you in 2-3 years!

Nvidia might be selling the shovels to the customer during this gold rush, but TSMC is making them.

This being displayed as “Unknown” is likely just a bug or an app you (very) recently uninstalled. And you probably opened the camera app by accidentally swiping right to left on the lock screen. Even just a slight swipe will launch the app so it’s ready when you’re done swiping.

And I’m not even sure what you’re talking about regarding your QR code.

Android is not de facto superior to iOS, nor is the opposite the case.

If you’re really that paranoid, even GrapheneOS on a Pixel shouldn’t calm you down because it also requires proprietary firmware by Google (and possibly other vendors) to run on these proprietary devices. In this case my advice would be to stop using smartphones altogether and rely on open source computers (couple of RISC-V options out there I think) for your computing needs.

Yes! Can I haz pancakes too?

Pretty calm here for a “panic”.

Best case is that the model used to generate this content was originally trained by data from Wikipedia so it “just” generates a worse, hallucinated “variant” of the original information. Goes to show how stupid this idea is.

Imagine this in a loop: AI trained by Wikipedia that then alters content on Wikipedia, which in turn gets picked up by the next model trained. It would just get worse and worse, similar to how converting the same video over and over again yields continuously worse results.