Earlier quoted context omitted.
I never said anything about openai not being relevant. the point is scale and good enough. gpt-4 is already good enough for most reasonable use cases, notably siri optimization. 5 years is a long time. 5 years ago llms didn't even exist.
Gpt3.5-turbo runs laps around siri and is cheap, surely Apple will acquire talent to build something that does remote queries and falls back to local for the next 1-2 years while they figure out on device accelerated LLMs
Transformer architecture optimized for Apple Silicon
101–110 of 342 posts
Re: Transformer architecture optimized for Apple Silicon
#102i'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…
Re: Transformer architecture optimized for Apple Silicon
#103Earlier quoted context omitted.
I really think you have hit the nail on the head here. Apple has a ridiculous, almost unfathomably deep moat for training and running personalised, customised LLMs and other AI models on the 'edge' with these Apple Silicon chips in all their devices. We must be talking orders of magnitude differences in operational cost, not to mention completely unique features like privacy. The very definition of disruption, waitin…
Maybe, but Apple doesn’t have a search to rival Google (or even an assistant, given the state of Siri). Focusing on privacy and on-device learning is great, but when the strength of these models is in consuming all the data they can hoover up your motive is at odds with your philosophy.
Apple has access to SUBSTANTIALLY more fine-grained personalized data than Google does. Full stop. That's a weird thing to assert in the tech crowd, but think about it deeply and you'll realize its true.
Google has islands of services that they've done an extremely good job of building bridges between. They have some islands that Apple has nothing like (YouTube is the biggest one) (Search is a huge island, but only indefensible if the interfaces customers use to access it don't leak the queries and results; no one opens a browser and types "www.google.com" on mobile and even if they did, Apple controls the browser renderer, they could lift everything if they wanted to, they won't, I'm simply illustrating how much Apple should fuckin scare Google). But the waters between those islands are patrolled by Samsung, Xiaomi, Oppo, and Vivo, and there's sharks in there as well (uh, the metaphor is falling apart, the sharks are "Google's tumultuous history with privacy and user blowback if they overstep").
Apple is a continent. Many of their cities are ports that connect to some of Google's islands, but Google's product still has to be checked by customs.
You're right that even given that power, hoovering it up is at-odds with Apple's philosophy. Or, is it? I think "hoovering it unencrypted to the cloud" definitely is; but that's the point OP was making: if we're extremely close, as a species, to solving "make AI work", one of the challenges for the next five years is inevitably going to be "make it more personal". Its awesome that I can ask ChatGPT to write a date comparison function. It'll also be awesome if I could ask Siri "when did sarah and I talk about getting a cat" or something.
That requires personalized data to set the context. If Apple can swing at the fences and say "everything is on-device, nothing leaves, we can't see it, and now you can ask Siri that, and by the way there's new functionality built-in to iOS that apps can leverage to integrate with Siri's new LLM capabilities just like ChatGPT plugins"; that's an extremely compelling product. Extremely. And I know they would ingest that data, that they would do that, because they already do! Go ask Siri to call Sarah, or if you have any meetings tomorrow (assuming you're using Apple Calendar), and it will respond. I don't know where you're getting this take that they don't "hoover data"; they ingest everything from all their first party apps into Siri's `DATA MATRIX`. Its just, you know, 2010s era querying and data crunching.
Don't get me wrong, Google's gonna do a lot of this too. But Google is playing from the position of "we have a model, we have the data, we just need to pay hundreds of millions of dollars a year maintaining all these servers". Apple is playing from the position "our customers are paying us for the silicon to run this, we have the data, we just have to figure out the model". If its not obvious at this point: the models/algorithms/etc are not a moat. They're going to be commoditized with time. Publicly accessible data isn't a moat. Personal data is a moat, because people care about privacy. And cost effective training and inference silicon is a moat, because its Physical, and like literally One Company on the planet makes it, and they're in a big time situationship with Tim Cook.
Re: Transformer architecture optimized for Apple Silicon
#104LLMs will absolutely be able to run locally, but whether Apple will be able to stop worrying and love the model remains to be seen.
Re: Transformer architecture optimized for Apple Silicon
#105i'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…
Re: Transformer architecture optimized for Apple Silicon
#106Earlier quoted context omitted.
Isn't GPT so complex that it requires hundreds of GB of ram to be used? How's it going to run on iphone?
yes, there are billions of parameters necessary. but large language models only came out about 5 years ago. I'm confident 5 years from now the parameters necessary to get gpt-4 performance will be decreased orders of magnitude. at the very least, even if that's not the case, inference will be drastically less gpu heavy by then I suspect.
Re: Transformer architecture optimized for Apple Silicon
#107Earlier quoted context omitted.
I really think you have hit the nail on the head here. Apple has a ridiculous, almost unfathomably deep moat for training and running personalised, customised LLMs and other AI models on the 'edge' with these Apple Silicon chips in all their devices. We must be talking orders of magnitude differences in operational cost, not to mention completely unique features like privacy. The very definition of disruption, waitin…
> Apple has a ridiculous, almost unfathomably deep moat for training and running personalised, customised LLMs and other AI models on the 'edge' with these Apple Silicon chips in all their devices. Do they? I can completely fathom, given my own anecdotal experiences, how garbage Siri quality is today. I haven't built anything against Siri APIs, but I've used Siri and various integrations and every single time I give…
Alexa is DIMENSIONS better than Siri. Siri can create a timer ... okay even an alarm. That’s it. It is comically bad. Their text to speech is excellent, but the rest is unbelievable bad.
If Apple has some kind of silver bullet, it’s time to put it out or be left behind.
Re: Transformer architecture optimized for Apple Silicon
#108i'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…
Yea, probably right after they released the hyped Apple Car. It's probably just month away now!
*I used to be one in a Sales and Trading role and fully believe a lot of rumors are to keep the finance analysts happy.
Re: Transformer architecture optimized for Apple Silicon
#109i'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…
Re: Transformer architecture optimized for Apple Silicon
#110Earlier quoted context omitted.
yes, there are billions of parameters necessary. but large language models only came out about 5 years ago. I'm confident 5 years from now the parameters necessary to get gpt-4 performance will be decreased orders of magnitude. at the very least, even if that's not the case, inference will be drastically less gpu heavy by then I suspect.
Wait, so there's a way to make a model as smart as GPT but with less parameters? Isn't that why it's so good?