Your suspicion could have easily been cleared by reading the paper.
If you're short on time: the paper reads a bit dry, but falls in the norm for academic writing. The github repo shows work over months on 2024 (leading up to the release of 3.13) and some rush on Dec 2025 to Jan 2026, probably to wrap things up on the release of this paper. All commits on the repo are from the author, but I didn't look through the code to inspect if there was some Copilot intervention.
If we go by Microsofts 2020 account of 1 billion devices running Windows 10 [0], and assume all those are running some kind of electron app (or multiple?) you easily get your gigawatt by just saving 1 watt across each device (on average). I suspect you'd probably go higher than 1 gigawatt, but I'm not sure as far as making another order of magnitude. I also think the noisy fan on my notebook begs to differ and maybe the 10 GW mark could be doable...
Not sure about that, SSDs historically have followed base-2 sizes (think of it as a legacy from their memory-based origins). What does happen in SSDs is that you have overprovisioned models that hide a few % of their total size, so instead of a 128GB SSD you get a 120GB one, with 8GB "hidden" from you that the SSD uses to handle wear leveling and garbage collection algorithms to keep it performing nicely for a longer period of time.
Yes, the thought crossed my mind too... But then I tried a private window and it opened, so maybe the other suggestion that the cookies are very long lived is right.
A little bit off topic: but I couldn't even start to read the article because "I reached my article limit" out of I site I never visited before... What are they using to determine how many articles I've read?
Opening in a private window solved the issue, however I'm pretty sure I don't regularly read anything on this site (maybe never was an overstatement?).
In the ~30 years I've used computers, they've become ~1,000,000 times faster. My daily experience with computers doesn't show it. There's someone out there who took the time to measure UI latency and has shown that, no only isn't it faster, it's actually slowed down. And yet, our hardware is 1,000,000 times faster...
I'm interested here too. I've got a Crucial SSD from 2015 that's been on about:
* 100% of 2015-2017, let's add 2 years here
* Aboutish 50% of days since 2018 to 2020
* On and off again (5%?) since then until now.
So it's about 3 years of full use? I'm eyeballing the use here. So it may be close to the numbers that were given, but I'm not sure. Guess I could check the SMART stats to get a precise number and from there decide what to do about it.
Searching a bit it seems it's a well-known bug in "enterprise SSDs"[0, 1] (which my drive certainly isn't) but there aren't any real details about what causes it, other than "a firmaware bug".
Is that really bad? I mean, it's telling me the language it's in, so it's a bit of valuable information if I'm looking for articles/posts about something a bit esoteric. Say I wanted to implement algorithm X for which there are few references, well if I read "Implementing Algorithm X in Rust" that's an informative title, whereas maybe if it just were "Implementing Algorithm X" and I then find out upon opnening it that it's in Rust, and maybe I wanted C, Python or MATLAB.
Either if it's for performance, battery life or cost reasons, it wouldn't really make sense:
a) performance wise, they move would be driven by having a better performing A chip
b) if they aimed at a 15W part battery life would suffer. 6W parts don't deliver good performance.
c) for cost, they'd have to buy the intel processor, and the infrastructure to support it (socket, chipset, heatsink, etc)
Specially for (c), I don't think either Intel would accept selling chips as co-processors (it'd be like admitting their processors aren't good enough to be main processors), nor Apple would put itlsef in a position to adjust the internals of their computers just to acomodate something which they are trying to get away from.
Yeah, but what would be rationale? They want to avoid x86 as a main CPU, so either you'd get an "x86 coprocessor to run Photoshop" (let's go with the PS example here).
Or you'd have to have fat binaries to have x86/ARM execution, assuming the T3 chip would get the chance to run programs. Now either program would have to be pinned to an x86 or ARM core at their start (maybe some applications can set preference, like having PS be always pinned to x86 cores) or have the magical ability to migrate threads/processes from one arch to another, on the fly, while keeping the state consistent... I don't think such a thing has ever even been dreamed of.
I don't think there's a chance to have ARM/x86 coexist as "main CPUs" in the same computer without it being extremely expensive, and even defeating the purpose of having a custom-made CPU to begin with.
> One of the reasons that Intel is falling so far behind is that they can't keep up with TSMC (and maybe others as well) on the fab side
Actually more that they bit way more than they could chew when they started the original 10nm node, which would've been incredibly powerful if they had managed to pull it right. But they couldn't, and so they stagnated on 14nm and had to improve that node forever and ever. They also stagnated the microarch, because Skylake was amazing beyond other (cutting corners on speculative execution, yes), so all the folowing lakes where just rehashes of Skylake.
Those were bad decisions that were tied to Intel not solving the 10nm node (temember tick-tock? Which then became architecture-node-optimztion? And then it was just tick-tock-tock-tock-tock forever and ever), and insisting on a microarch that, as time went by, started to show it's age.
Meanwhile AMD was running from behind, but they had clearly identified their shortcommings and how they could effectively tackle thme. Having the option to manufacture with either Global Foundries or TSMC was just another good decision, but not really a game changer until TSMC showed that 7nm was not just marketing fad, but a clearly superior node than 14nm+++ (and a good competitor to 10nm+, which Intel still is ironing).
That brings us to 2020, where AMD is about to beat them hard both on mobile (for the first time ever) and yet again on desktop, with "just" a new microarch (Zen 3, coming late 2020). The fact that this new microarch will be manufactured on 7nm+ is just icing on the cake, even if AMD stayed in the 7nm process they'd still have a clear advantge over Zen 2 (of course, their own) and against anything Intel can place in front of them.
That brings us to Apple. Apple is choosing to manufacture their own chips for notebooks not because there's no good x86 part, but because they can and want to. This is simply further vertical integration for them. And this way the can couple their A-whatever chips ever more tightly with their software and their needs. Not a bad thing per-se, but it will separate even more the macs from a developer perspective.
And despite CS having improved a lot in the field of emulation, cross compilers, and whatever clever trick we can think of to get x86-over-ARM, I think in the end this move will severely affect software that is developed multiplatform (this'd be mac/windows/linux, take two and ignore the other). This is some slight debacle that we've seen with consoles and PC games before.
PC, Xbox (can't remember which) and PS3 were three very different platforms back in 2005-ish. And while the PS3 held a monster processors which was indeed a "supercomputer on a chip" (for it's time), it was extremely alien. Games which were developed to be multiplatform had to be developed at a much higher cost, because they could not have an entirely shared code base. Remember Skyrim being optimized by a mod? That was because the PC version was based on the Xbox version, but they had to turn off all compiler optimizations to get it to compile. And that shipped because they had to.
Now imagine having Adobe shipping a non-optimized mac-ARM version of their products because they had to turn off a lot of optimizations from their products to get them to compile. Will it be that Adobe suddenly started making bad software, or that Adobe-on-Mac is now slow?
Maybe I got a little ranty here. In the end, I guess time will tell if this was a good or a bad move from Apple.
Well I grew up in a dry place that gets 42+ degrees celsius (over 108°F) so I absolutely don't mind wearing a light denim jacket in summer where I live now, where temperature barely reaches 30° C (86° F).
Cargo shorts can also be an alternative, though I understand in some contexts they might not be appropriate aparel.
I wear a jacket with big inside pockets. Works like a charm, frees up pocket space in the pants and I get to carry everything. Been doing that for years now. Way-too-big phones became uncomfortable when sitting in a car or other tight spaces a long time ago.
I understand that some people look suspiciously at the 15GHz mark, specially considering this was run in a 4.5GHz processor. What I understand is that this benchmarks are comparing how long it would've taken on a stock 1Mhz 6502, and calculate the "clock speed" obtained as a ratio. So if I'm getting my result 10,000 times faster than a standard 6502, it means I'm at 10GHz.
I also understand that this is possible because the emulator is running on a superscalar processor. Not sure if multicore has anything to do here (the post specifically mentions the high performance of the single-core case for the processor used). Still, considering that processors back in the 6502 era had just one execution port, and superscalars this day have a lot (I think 8? I really lost track of what's usual these days), then the figure makes sense all right, and without involving any kind of multithreading.
Kudos to the authors of the emulator for having a super-optimized system that can effectively and efficiently emulate its target!
3 months ago, BTC price was ~8k USD/BTC, and now sits at ~10.5 USD/BTC... So is it really sitting without earning interest? What other investment gives you ~180% interest rate year over year[0]? I wouldn't exactly calling this "$1 billion sitting without earning interest".
[0] I know I'm oversimplifying here, there have been ups and downs in price, etc
If you're short on time: the paper reads a bit dry, but falls in the norm for academic writing. The github repo shows work over months on 2024 (leading up to the release of 3.13) and some rush on Dec 2025 to Jan 2026, probably to wrap things up on the release of this paper. All commits on the repo are from the author, but I didn't look through the code to inspect if there was some Copilot intervention.
[0] https://github.com/Joseda8/profiler