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iPhone Air

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Re: iPhone Air

#591

Post by djtango »

dan353hehe wrote: post #273
Nition wrote: post #249

It's more the other two dimensions that I want shrunk. Did anyone think their phone was too thick to fit in their pocket?

No kidding. I just want one that I can use one handed again. I’m on the IPhone SE, have hands that can play an octave + 2 additional keys on a piano, and I can’t reach the whole screen with a single hand. I’m probably just holding it wrong.

Occasionally I reach around the other side to press buttons as if I am using a guitar/violin grip but I don't do this enough to not be awkward

Re: iPhone Air

#592

Post by djtango »

chongli wrote: post #296
Nition wrote: post #249

It's more the other two dimensions that I want shrunk. Did anyone think their phone was too thick to fit in their pocket?

We're in the minority. The iPhone Minis did not sell well. I think women especially do not want a small phone because they carry it in a purse anyway (and slap a case on it with an extra handle to make it easier to hold).

Hilariously phones are so big they don't fit in some women's bags - clutches or multi compartment bags for example

Re: iPhone Air

#593

Post by arcane23 »

jdprgm wrote: post #187

Can someone that is actually interested in this explain the appeal? Thin on its own I get but thin with a giant bump 100% defeats the whole point for me. Seems clear at this point there is little hope of them engineering their way into thin cameras.

Doubt most people want it as thin as possible. This is just the phone industry running out of ideas and trying to tell people what they actually need.

There's not much left to "fix" on mobile phones, and no real important features to add. Lacking that, they need something to sell the phones with, so they're going for these strange "improvements". It needs to be something that has some wow factor so they can lead with. This seems to somehow work on normal people so they'll keep doing these "improvements".

I expect in the future they'll pull this trick again, moving bits of the phone upwards towards camera, and create a second notch from half way down, where the phone will get even thinner, and they'll sell that.

Re: iPhone Air

#594

Post by homefree »

nakamoto_damacy wrote: post #465

I have an iPhone 13 mini, just replaced the battery. If you want my money, give me an iPhone 17 mini with small width and height, I don't care about it being thinner like the Air. Also, no AI ruining the image quality of the expensive camera. I saw examples of a consumer-grade digital camera vs an iPhone 16 and the latter introduced "hotdog skin" effect and other effects that made the photos look over-processed.

I loved the mini and bought both the 12 and 13 mini. Also bought it for my siblings. Unfortunately after its sales Apple is very unlikely to ever make a small phone again.

Re: iPhone Air

#595

Post by waterTanuki »

AdventureMouse wrote: post #582
aurareturn wrote: post #58

It has A19 Pro. A19 Pro has matmul acceleration in its GPU, the equivalent of Nvidia's Tensor cores. This would make future Macs extremely viable for local LLMs. Currently, Macs have high memory bandwidth and high VRAM capacity but low prompt processing speeds. Give it a large context and it'll take forever before the first token is generated. If the M5 generation gets this GPU upgrade, which I don't see why not, the…

> If the M5 generation gets this GPU upgrade, which I don't see why not, then the era of viable local LLM inferencing is upon us. I don't think local LLMs will ever be a thing except for very specific use cases. Servers will always have way more compute power than edge nodes. As server power increases, people will expect more and more of the LLMs and edge node compute will stay irrelevant since their relative power w…

I regularly use local LLMs at work (full stack dev) due to restrictions and occasionally I get some results comparable to gpt-5 or opus 4

Re: iPhone Air

#596

Post by pdntspa »

baby wrote: post #225
aurareturn wrote: post #58

It has A19 Pro. A19 Pro has matmul acceleration in its GPU, the equivalent of Nvidia's Tensor cores. This would make future Macs extremely viable for local LLMs. Currently, Macs have high memory bandwidth and high VRAM capacity but low prompt processing speeds. Give it a large context and it'll take forever before the first token is generated. If the M5 generation gets this GPU upgrade, which I don't see why not, the…

IMO it's underwhelming considering folding phones have been out for many years now and we still don't have a folding iPhone. What are the PMs doing at Apple.

Why do we need a folding phone?

Re: iPhone Air

#597

Post by bytesandbits »

timerol wrote: post #419

> iPhone Air features N1, a new Apple-designed wireless networking chip that enables Wi-Fi 7, Bluetooth 6, and Thread. Congrats to Apple for finally designing out Broadcom and vertically integrating the wireless chip

doubling down on matter! Adoption has been slow but it is starting to ramp up quicker

Re: iPhone Air

#598

Post by Humphrey »

Hot take: iPhone Air isn't about making phones lighter, but to justify making their other models heavier.

iPhone Air is 165g.

The new iPhone Pro 17 is 204g but the 15 Pro was only 187g. iPhone 17 is 7g more than the iPhone 16 which was 170g (only 5g heavier than the new Air).

Their pricing ladding places the Air above the regular 17 and below the 17 Pro.

If Apple didn't make the Air, then the 17 family would have been Apples "Heaviest range of iPhones they have every made".

That said, I am very happy about how Apple are adding more battery to all their phones - which might be were the extra weight is coming from.

Re: iPhone Air

#599

Post by avianlyric »

babl-yc wrote: post #511
aurareturn wrote: post #58

It has A19 Pro. A19 Pro has matmul acceleration in its GPU, the equivalent of Nvidia's Tensor cores. This would make future Macs extremely viable for local LLMs. Currently, Macs have high memory bandwidth and high VRAM capacity but low prompt processing speeds. Give it a large context and it'll take forever before the first token is generated. If the M5 generation gets this GPU upgrade, which I don't see why not, the…

I've always been a bit confused about when to run models on the GPU vs the neural engine. The best I can tell, GPU is simpler to use as a developer especially when shipping a cross platform app. But an optimized neural engine model can run lower power. With the addition of NPUs to the GPU, this story gets even more confusing...

In reality you don’t much of a choice. Most of the APIs Apple exposes for running neural nets don’t let you pick. Instead some Apple magic in one of their frameworks decides where it’s going to host your network. At least from what I’ve read, these frameworks will usually distribute your networks over all available matmul compute, starting on the neural net (assuming your specific network is compatible) and spilling onto the GPU as needed.

But there isn’t a trivial way to specifically target the neural engine.

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