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My guess is that memory is the real reason for the price upgrade. Apple probably added some things to mask the price increase but the real reason is the chip. The old 4GB ram in A15 Bionic probably bumped in price so it went up to 199$ and now the new chip costs even more. Also its easier for Apple to make the same chip in a lot of hardware as opposed to having multiple chips being made, especially when its fused with memory and thats costing a lot.


Sure, Apple's BoM has definitely increased given the pressures on the fabs.

By no analysis remotely at the pace that their MSRP has, however.

The primary reason the price has spiralled is that Apple is running out of new markets, so every product needs to feed the greed to a greatest extent as they increasingly squeeze their existing customers. It's the same reason why there are paid ads in the AppStore, on Apple Maps, and so on. Expect this behaviour to become more obvious.


>Where do they get that pricing from?

I cant buy the LG doorbell camera at my local mall in a fancy store. I had not even heard of it until now.

Volumes of 100s of millions on chips and volumes in hundreds of thousands will have a huge price difference. We are talking 2 orders of magnitude higher.


Fair enough, could be a matter of a scale, plus both companies need to earn their premium. Still makes it the most expensive doorbell camera out there I think.


>AI to backdoor designs

correction: AI to backdoor vibe-coded designs

if anyone has read the trusting trust paper, one will know you can theoretically create code where vulnerabilities are hidden in plain sight. But that would mean its designed and reviewed by people who don't understand it in the first place.


The arrows on newer keyboards are gone. Now it's just text. I wonder if that changes anything because Enter doesn't really sit well with the arrow next to it as entering data need not necessarily cause a carriage return.


Same here. Have a Base M1 Air. Will trade that for M7 Base Air maybe if I can drag this one for a while. I can't go back to computers with noisy fans. It seems too last generation since the M1 launched.


I'm still astonished at how good this little thing is. The only problem I've had is the realization that 256GB isn't enough for me, but save for that I really have no excuse to upgrade. Can't justify a newer machine when this thing does everything I need!

Even for pretty intense workloads it rarely struggles or slows down. And even with some pretty intense battery degradation (reasonable, to be expected after five years of heavy use) it still runs for more than long enough for me on a single charge, although I really can't go to a coffee shop without a charger if I'm doing development work. All that, and it's dead quiet? I could never go back to the old ways!

I understand the thinking of "I'd like to do local inference on a laptop", but as long as I have a beefier Mac Mini sitting at home that can do all of that for me remotely, why bother?

I can see myself putting Asahi on this thing and giving it to my yet-unborn kids for them to finally drop it down a staircase someday. I've been rough with it and it hasn't broken yet!


My M2 Pro rarely spins up the fan. Usually when it does, it takes me a while to notice. When I do, sometimes I need to stay quiet for a second to even locate where the low purr comes from. Then I usually smile a little and think “hey, the fan is on!” and forget about it again.

In fairness, my Franework 13 Pro is the same, only it gets less hot than the MacBook.


I really do not know when I will replace my five year old M1 Pro. I'm not even starting to begin to get to the point where I start thinking about replacing this thing which I'm frankly astonished by.

I think the interesting part of that sort of success is that if/when this thing will start to lose a step (local inference would be cool, 16GB of RAM is starting to get a little tight, especially for rust builds and agentic programming), I really have no serious qualms about spending $5000+ on its replacement.


On a base M1 air, running local inference (non tool calling).


please share your setup


LM Studio Qwen 2.5 7B Instruct (Q4_K_M GGUF) with metal offloading


Is it safe to assume at this point that GNU and the kernel accept AI code but there is quality control compared to private companies ? What I am hearing (and what friends talk about) is that with AI everyone is hooked on quantity while quality has taken a back seat. I would assume that the quantity and features don't bother free software much so they can take their own sweet time with these things.


From a psychological standpoint, maybe customers thinking 26 is old on their brand new device in 3 months isn't exactly good. People might start expecting 27 in 3 months when actually 27 is going to be around for most of the year.


Kind of like a vechical's model year.


Because the verification would also be done by something non deterministic and then that’s a paradox.


Feed the LLM output into a “deterministic” verifier, problem solved. That’s how LLMs verify their new mathematical proofs with lean.


>optimization is by far the easiest part of the process

Not if the whole thing is architected poorly but was a requirement of the hour so it became big. Then optimisation becomes an art, but definitely not the ‘easiest part of the process’


> Hugging Face turned down a $500 million investment offer from Nvidia late last year that would have valued it at $7 billion, the Financial Times previously reported. Hugging Face said at the time it did not want a dominant investor that could sway decisions.

So instead they sold themselves to the same investor completely ?


I mean, it's $500M versus $13B.


Money always wins, sadly.


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