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"The M4 is so fast, it'll probably finish your Final Cut export before you accidentally switch apps and remember that that cancels the export entirely. That's the amazing power performance lead that Apple Silicon provides." #AppleEvent https://mastodon.social/@tolmasky/112400245162436195
Earlier quoted context omitted.
Welcome to being old! Watch a 20-year old creative work on an iPad and you will quickly change your mind. Watch someone who has, "never really used a desktop, [I] just use an iPad" work in Procreate or LumaFusion. The iPad has amazing software. Better, in many ways, than desktop alternatives if you know how to use it. There are some things they can't do, and the workflow can be less flexible or full featured in some…
They can have my keyboard when they pry it from my cold dead hands! And my mouse, for that matter.
It is just fine driving Citrix or any web app like VSCode.dev.
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…
> 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.
Earlier quoted context omitted.
It's fairly absurd that they're still selling a 256gb "Pro" machine in the first place. That said, Apple's policy toward SKUs is pretty consistent: you pay more money and you get more machine, and vice versa. The MacBooks are the only product which has separately configurable memory / storage / chip, and even there some combinations aren't manufactured.
>> It's fairly absurd that they're still selling a 256gb "Pro" machine in the first place. My guess is they want you to use their cloud storage and pay monthly for it.
I said this in a sibling comment already, but I think it's just price anchoring so that people find the $1500 they're actually going to pay a bit easier to swallow.
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).
that would be my brain still - at least for now ;)
> 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…
Neural processing unit is basically a made up term at this point so of course they can have the fastest in the world.
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…
That's just their way of walled gardening apple customers. Then they can extort devs and other companies dry without any middle-men.
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…
It isn't privacy if Apple knows. They are the gatekeeper of your data for their benefit not yours.
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…
Yes, that would be great. But without the ability for us to verify this who's to say they won't use the edge resources(your computer and electricity) to process data(your data) and then send the results to their data center? It would certainly save them a lot of money.
Google did some of that on Android, which means open-sourcing their on-device TEE implementation, publishing a paper about it etc.