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Transformer architecture optimized for Apple Silicon

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Re: Transformer architecture optimized for Apple Silicon

#211
post #205

Earlier quoted context omitted.

I'm not so sure. When is the last time apple came out something groundbreaking? Has there been anything since Tim Cook took over? Siri is still extremely basic and barely usable for anything besides starting a kitchen timer.

> I'm not so sure. When is the last time apple came out something groundbreaking? M1 chips?

An ARM cpu is groundbreaking? I don't think anyone outside the tech world has even noticed.

Re: Transformer architecture optimized for Apple Silicon

#212
post #189
post #103

Earlier quoted context omitted.

They have every query their users enter into Spotlight. They have all the results it returns (who cares if they originated from Google, ok maybe they do, maybe not using it for anything is part of their deal with Google). They have your contacts, calendars, messages, email, music, workout history, tasks, real time location, which Siri already uses to e.g. recommend a destination when you get in your car to a degree o…

Apple does not have the queries that their users enter into spotlight, They dont have all the results it returns. You dont spawn a network request on every local search on an apple device.

Typing into Spotlight sends a request to Apple?

Re: Transformer architecture optimized for Apple Silicon

#213
post #76

As a newbie to this space, I see this mentioning PyTorch. I was looking at Whisper earlier today and, somewhat impressively, was reminded that my M1 Pro has a CPU fan. Is it realistic to think it would be a modest amount of work to install this in my local venv and use the NPU instead?

For whisper whisper.cpp is probably a better bet, it also doesn’t use the NPU but it performs much better than the pytorch implementation.

Re: Transformer architecture optimized for Apple Silicon

#214
post #82

Earlier quoted context omitted.

I would not say they are the best chips if you want to run locally. They are ok although a bit slow compared to desktop gpus for inference.

What desktop GPUs would you recommend for the home user with access to 20+ GB of VRAM? I can get a Mac Studio with 128GB of shared RAM for about 5k.

What's the point of shared RAM exactly? 2x3090 ($2000) + 128GB RAM ($300) to cache weights would be much faster. Probably around 10-20x.

Re: Transformer architecture optimized for Apple Silicon

#215

Earlier quoted context omitted.

I was just setting reminders today and had Siri repeatedly fail to do what I want. The only use case I have for it is setting timers, which is does very well. I'd use it for much more if it was as good as ChatGPT.

This is entirely my point. They’re all crap at a fundamental level, none of them outperform any other. But the next generation, which will assuredly be backed by a LLM, will be shockingly powerful.

The MKBHD personality is onto Monte Carlo testing in his device reviews. He has an intuition for good UIX. Google and Apple should pay people like MKBHD and his production crew a billion dollars every year to film achievable, desirable text, voice, camera A.I. assisted use-cases.

Re: Transformer architecture optimized for Apple Silicon

#216

The bottleneck with compute at the edge is (and will be) model size (both app download time and storage space on device). Stable Diffusion sits at about 2GB for fp16, Whisper Medium at 1.53GB, LLAMA is 120GB. Sure, Apple can ship an optimized model ( 1GB.

Tons of popular iOS games are >1GB.

Re: Transformer architecture optimized for Apple Silicon

#217
post #211

Earlier quoted context omitted.

> I'm not so sure. When is the last time apple came out something groundbreaking? M1 chips?

An ARM cpu is groundbreaking? I don't think anyone outside the tech world has even noticed.

Consumer blogs have been gushing over Macbook Air M1 for years, and most of them say not to even bother getting a Pro because it's so good.

Re: Transformer architecture optimized for Apple Silicon

#218

i'd say within 5 years apple will have optimized apple silicon and their tech, along with language model improvements, such that you will be able to get gpt-4 level performance in the iPhone 19 with inference happening entirely locally. openai is doing great work and is serious competition, but I think many underestimate big tech. once they're properly motivated they'll catch up quick. I think we can agree that opena…

Something like FLAN T5 can't run without top of the line VMs and GPT 4 is an order of magnitude better than that. How will it run on an iPhone, no matter how good it gets.

Re: Transformer architecture optimized for Apple Silicon

#219

i'd say within 5 years apple will have optimized apple silicon and their tech, along with language model improvements, such that you will be able to get gpt-4 level performance in the iPhone 19 with inference happening entirely locally. openai is doing great work and is serious competition, but I think many underestimate big tech. once they're properly motivated they'll catch up quick. I think we can agree that opena…

it will actually play out differently: Apple will pay Open AI to run their models on Apple Silicon. And Apple will guarantee the model is protected using hw keys. Jail broken phones won’t have access to the local AI
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