I knew “scary fast” had to mean some sort of processor bump for hardware, but I was secretly hoping they’d kill off the remaining Lightning ports on their keyboards, trackpads, and mice.
And I was hoping they’d finally redesign that god awful mouse. I don’t know how people live with that thing.
I think they want to force trackpads. I can’t even use a mouse anymore. Feels strange.
Whe I use my Mac I only ever use the track pad, it’s amazing.
I’m a software developer and I’ll still only use the track pad when working at my desk with my monitors.
Still need a mouse for gaming though on the gaming PC.
You mean an external one right? Or are you using a laptop track pad all day with multiple monitors?
Using the laptops track pad and multiple monitors (2 external + macbook)
I find short of the mythical programmer who never uses a mouse because they they know 100% of the hotkeys, it let’s me keep my hands closer to the keyboard so I can move around and type quicker than going back and forth to the mouse.
The workflow is much less disruptive.
That’s you. I love the mouse as it is.
It’s me, but it’s also a LOT of other people. Those mice are famously hated by many.
3 nanometer
That’s a silicon lattice just six atoms thick. What a time to be alive!
Nanometers have actually been a marker of generation for quite a while. 3nm is actually 24. https://en.m.wikipedia.org/wiki/3_nm_process
Intel does it and it’s annoying. 7mm lithography is actually 10nm. No idea how they get away with false advertising.
That seems… Illegal. Much the same as selling a “foot long” Sub or Hotdog which is only 11".
At the very least it’s misleading.
Wow, I had no clue. TIL
From Wikipedia: The term “3 nanometer” has no relation to any actual physical feature (such as gate length, metal pitch or gate pitch) of the transistors.
I built a M3 MBP just to see how much money a mxed out unit would be.
M3 14" MBP Max chip with all the cores 128GB RAM 8TB storage
$4700
That’s about the cost of my last MBP and iPhone pair, two times over. At that point, why even go for a laptop, vs. what would clearly be a high end desktop station?
*Wonders what a maxed out MBP costs.
*pics the 14”…
Maxed out 16” is $7,199.- (ex Apple care)
Maxed out 14” is $6,899.- … (I think you missed something)
Am I confused, or are you confidently asserting that desktop systems are objectively superior to laptops?
they are. (unless we’re talking about Mac only, which are not as repairable or upgradable)
desktop allow for a far better modularity, and reparability, far more ports, PCIe expansions like sound cards, etc.
If my screen breaks or I’d rather use a bigger one, I just buy a monitor and plug it in. If my CPU dies or is no more enough for my use case, I’ll just buy a better one while still using every other component. If I need more hard drives, I’ll just buy more SATA cables. If I need better sound, I’ll buy a sound card.
those features are dealbreakers. laptops will never be able to compete with a real desktop.
Desktops are superior even if only for the better cooling options, allowing your chips to sustain higher clockspeeds for longer without the machine sounding like a jet taking off
Are you implying they’re not? The only reason anyone even buys laptops is because PCs aren’t portable. Otherwise PCs are the best.
The only reason people buy cars instead of tennis shoes is because cars are faster
I feel like a better version of this is to use bycicles and motorcycles. Even with that said fuck tennis shoes boots are where its at.
Not the OP but yes
In terms of performance that is.
Just for fun, let me buy every upsell, regardless of whether I want or need it.
And then let me compare that to the normal configuration of things I bought…
Why don’t you compare apples to apples. Configure an M3 MBP like you would with fairly normal specs?
apples to apples
Well, technically all those computers are Apples, so they’re within their rights
Yeah I was trying to make a lame pun
The memory maximums are a tad silly. I’d expect …
- M3 up to 32gb
- M3 Pro up to 64gb
- M3 Max ok, this one is ok
The ray tracing is awesome, but minus that I am not eager to move up from my M1 Max.
The memory maximums are going to be more and more important when it comes to local AI applications.
Take language models for an example
To run a 30b model, you need 24gb of video ram to do it fully on the video card. That’s a nvidia 3090 or 4090 today. But in the grand scheme of things, 30b is small. They are going to get much bigger, especially when you want larger contexts which allow the AI to remember more about its interactions with you.
Apples memory is unified, so it can be system ram, or video ram. You’ll be able to easily load a 70b model into a MacBook with 64gb of ram for example, where you’d need 2 3090s or 4090s and a hefty PSU on a current Gen non Mac PC (if you even can with just that)
For the moment, things are better optimized for windows and nvidia hardware, but Apple is encroaching on this space, and their huge amounts of video memory will begin to unlock using and training larger and larger models with each hardware generation.
Expect to see nvidia starting to offer higher video ram cards as well for this exact reason. Maybe even cards tailored to that instead of gaming with really high amounts of ram.
I can’t see local models or hardware needing to scale much past the sizes we already have. Recent models like mistral have shown that we are still far from saturation at current model sizes.
And we only ever needed 64kb of ram.
Even if we have a lot of room to optimize and grow within what we have, we still have so much more to do.
Fully coherent audio and video synthesis for a scene for example.
And these models are being trained on server farms, but thats just because video memory is so expensive to come by.
We’re just starting to crawl, we haven’t even started walking yet on where this is going.
I was mainly referring to language models which have somewhat predictable scaling laws. It doesn’t make sense to continue scaling the parameters when you can scale the data instead.
Diffusion models are a completely different domain which is less established. Most advancements made in that space are related to the architecture and training methodology. In terms of scale they haven’t changed much.
Large models will always be trained in datacenters because the compute will always be exponentially greater and cheaper than what you could get as an individual. Local finetuning already happens but it’s expensive and limited.
Doesn’t the m2 max allow 196gb of ram? Seems like an odd downgrade. The value in these for me is the unified memory for large ai models, but most consumers may not notice that. Who knows.
That’s the m2 ultra which is only the desktop version right now.
I was kinda bored for this announcement. I have a M2 Pro MBP for work and I really have no desire to get anything faster.
I was hoping for a new iPad Mini announcement
I’m hoping for a new iPhone mini announcement…
pity qualcomm has just wiped the floor with them. even with the new M3 it’s not even close I believe. please correct me if I’m wrong (who am I kidding you’re gunna correct me)
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the snapdragon X Elite beats the M2 by 50% so you’re wrong and it beats the M2 Max in single core too. and does so with 40% less power.
It’s likely the M3 will rival it but it will be close by the looks of it.
Also you’re wrong.
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I’m just going on what’s been reported. I believe they were running benchmarks against the M2. and we have M3 specs so it’s reasonable to make guesses. I never said it wipes the floor with the M3. it definitely does toc the standard M2, of which you seemed confidently incorrect about.
Maybe you just angry with something and aren’t reading what I’ve written?
anyway we’ll find out soon enough.
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