971–980 of 1001 posts
Together with next-generation ML accelerators in the CPU, the high-performance GPU, and higher-bandwidth unified memory, the Neural Engine makes M4 an outrageously powerful chip for AI. In case it is not abundantly clear by now: Apple's AI strategy is to put inference (and longer term even learning) on edge devices. This is completely coherent with their privacy-first strategy (which would be at odds with sending dat…
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> This is completely coherent with their privacy-first strategy Apple has never been privacy-first in practice. They give you the illusion of privacy but in reality it's a closed-source system and you are forced to trust Apple with your data. They also make it a LOT harder than Android to execute your own MITM proxies to inspect what exact data is being sent about you by all of your apps including the OS itself.
You say that like open source isn't also an illusion of trust. The reality is, there's too much to verify, and not enough interest for the "many eyeballs make all bugs shallow" argument. We are, all of us, forced to trust, forced to go without the genuine capacity to verify. It's not great, and the best we can do is look for incentives and try to keep those aligned.
> M4 has Apple’s fastest Neural Engine ever, capable of up to 38 trillion operations per second, which is faster than the neural processing unit of any AI PC today. I always wonder what crazy meds Apple employees are on. Two RTX 4090s is quite common for hobbyist use, and that is 1321 TOPS each, making two over 69 times more than what Apple claims to be the fastest in the world. That performance is literally less tha…
Definitely misleading but they’re talking about “AI CPU” rather than GPUs. They’re pretty much taking a jab at Intel.
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If these things will ever get MacOS support it will be useless with 8 GB of Ram. Such a waste of nice components.
I have a minimum of 64GB on my all my main developer machines (home, work, laptop), but I have a spare laptop with only 8GB of RAM for lightweight travel. Despite the entire internet telling me it would be "unusable" and a disaster and a complete disaster, it's actually 100% perfectly fine. I can run IDEs, Slack, Discord, Chrome, and do dev work without a problem. I can't run a lot of VMs or compile giant projects wi…
This argument is self defeating in the context of the M4 announcement. "Average consumers" who don't need 16 GB of RAM don't need an M4 either. But people who do need an M4 chip probably also need 16 GB of RAM.
I think actually more people need 16 GB of RAM rather than a top M4 chip. Having only 8 GB can be a serious limitation in some memory heavy circumstances, while having (say) an M2 SoC rather than an M4 SoC probably doesn't break any workflow at all, it just makes it somewhat slower.
Why are we running these high end CPUs on tablets without the ability to run pro apps like Xcode? Until I can run Xcode on an iPad (not Swift Playgrounds), it's a pass for me. Hear me out: I don't want to bring both an iPad and Macbook on trips, but I need Xcode. Because of this, I have to pick the Macbook every time. I want an iPad, but the iPad doesn't want me.
The conclusion I came to was that I loved the hardware but found the software a huge letdown for doing real work; I tried SSHing into VPSs and the like, but that wasn’t enough.
But man, the power in these thin, elegant devices is huge, and greater with the M4 chips. If Asahi ran on the M4 iPads I’d probably give it a go! – in an alternate dream universe, that is…
Call me crazy, but I want all that power in a 7" tablet. I like 7" tablets most because they feel less clunky to carry around and take with you. Same with 13" laptops, I'm willing to sacrifice on screen real estate for saving myself from the back pain of carrying a 15" or larger laptop. Some of this is insanely impressive. I wonder how big the OS ROM (or whatever) is with all these models. For context, even if the en…
I’ve got an iPad mini. The main issue is the screen scratches. The other main issue is the screen is like a mirror, so it can’t be used everywhere to watch videos (which is the main thing the iPad is useful for). The third main issue is that videos nowadays are way too dark and you can’t adjust brightness/gamma on the iPad to compensate. (Notice a theme?)
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> In case it is not abundantly clear by now: Apple's AI strategy is to put inference (and longer term even learning) on edge devices. This is completely coherent with their privacy-first strategy (which would be at odds with sending data up to the cloud for processing). Their primary business goal is to sell hardware. Yes, they’ve diversified into services and being a shopping mall for all, but it is about selling lu…
> but it is about selling luxury hardware. Somewhat true but things are changing. While there are plenty of “luxury” Apple devices like Vision Pro or fully decked out MacBooks for web browsing we no longer live in a world where tech are just lifestyle gadgets. People spend hours a day on their phones, and often run their life and businesses through it. Even with the $1000+/2-3y price tag, it’s simply not that much gi…
M2's Neural Engine had 15TOPS, M3's 18TOPS (+20%) vs. M4's 38TOPS (+111%). In transistor counts, M2 had 20BTr, M3 25BTr (+25%) and M4 has 28BTr (+12%). M2 used TSMC N5P (138MTr/mm2), M3 used TSMC N3 (197MTr/mm2, +43%) and M4 uses TSMC N3E (215MTr/mm2, +9%).[1][2] [1] https://en.wikipedia.org/wiki/5_nm_process#%225_nm%22_proces... [2] https://en.wikipedia.org/wiki/3_nm_process#%223_nm%22_proces...
> The Most Powerful Neural Engine Ever While it is true that the claimed performance for M4 is better than for the current Intel Meteor Lake and AMD Hawk Point, it is also significantly lower (e.g. around half) than the AI performance claimed for the laptop CPU+GPU+NPU models that both Intel and AMD will introduce in the second half of this year (Arrow Lake and Strix Point).
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Even repairable only buys you a few years repairability that actually makes sense. For example something similar happened to me, lost the mac mobo on a pre solder addiction model. Only thing is guess how much a used mobo is for an old mac: nearly as much as the entire old mac in working shape. It makes no sense to repair it once the computer hits a certain age between the prices of oem parts and the depreciation of c…
ok but now get this: what if we started a program where people prepay part of the repair with an initial fee, and then for a couple years they can have their laptop repaired at a reduced, fixed price? That helps secure the supply chain. You could then partner with a retail computer store (or start your own!) and have a network of brick-and-mortar stores with subject-matter experts to perform the repairs as well as mo…
Together with next-generation ML accelerators in the CPU, the high-performance GPU, and higher-bandwidth unified memory, the Neural Engine makes M4 an outrageously powerful chip for AI. In case it is not abundantly clear by now: Apple's AI strategy is to put inference (and longer term even learning) on edge devices. This is completely coherent with their privacy-first strategy (which would be at odds with sending dat…
https://nitter.esmailelbob.xyz/tim_cook/status/1787864325258...