[shrimpx]

Apple has been looking sleepy on LLMs, but they've been consistently evolving their hardware+software AI stack, without much glitzy advertising. I think they could blow away Microsoft/OpenAI and Google, if suddenly a new iOS release makes the OpenAI/Bard chatbox look laughably antiquated. They're also a threat to Nvidia, if a significant swath of AI usage switches over to Apple hardware. Arm and TSMC would stand to win.

[madeofpalk]

I doubt Apple’s going to make some big ChatGPT-style chatbot. They’re “just” going to use the same tech to drive iterative (good!) improvements to their products, like Siri and keyboard auto-complete.

[shrimpx]

Yeah. Siri supports text input already, anyway. Siri is their ChatGPT-style bot that's going to keep improving.

[ghusbands]

But does it even work sensibly, yet? Almost every time my partner asks Siri something, it works so badly that we end up asking Android/Google's Assistant, which responds well to most things.

[qgin]

What sort of things don’t work well? Phone actions or knowledge / info type questions?

[fbdab103]

I would challenge the keyboard autocomplete. I find the Apple suggestions to be frustratingly poor vs my experience on Android.

[spike021]

I thought it couldn't get any worse and then I upgraded to iOS 17. It's awful.

[Booourns]

Out of curiosity have you experienced their autocorrect on iOS 17 because that’s when they updated to be LLM based?

[FLT8]

I don't recall exactly when it started happening, but I've been having lots of issues with recent iOS versions rewriting not the last word entered, but the word before that. For example, if I start entering "I went to", it'll sometimes correct to "I want to", but it'll do that after I've typed the "to". I've found lots of similar examples. The retrospective nature of the edits mean I miss a lot of them and makes me appear a lot less literate than I am.

[walteweiss]

Same happens to me quite very often on a mobile, even here. But I use iPhone SE 1st Gen. with iOS 15.8.

[georgespencer]

Transformer based autocomplete on iOS 17 feels just as bad -- but in different ways -- as its previous incarnation to me.

[simonair]

Are you tapping the keys or swiping over those that make up the word you want to type? In my experience, tapping has always been and remained poor but swiping is getting better and better with every iOS version.

[LoganDark]

Swiping through keys doesn't have anything to do with autocomplete. Autocomplete has to do with predicting which word you're going to type next, not guessing which word best corresponds to the swipe you just made.

[dwaite]

> Apple has been looking sleepy on LLMs, but they've been consistently evolving their hardware+software AI stack, without much glitzy advertising

They don't sell compute time to other companies to run AI, or massive custom hardware for AI training.

They aren't after VC funding.

Their core business isn't threatened by AI being "the evolution of search"

Product-wise, so far all you hear is messaging around things like pointing out the applicability of the M3 Max for running ML models.

Until they have real consumer products ready, they only need to keep tabs on analysts, with lip service at financial meetings.

[theferalrobot]

Given Apple's track record on anything AI related and the terrible state they keep CoreML that not only seems extraordinarily unlikely, it would take a lot of time to win developer trust and that I just don't see happening.

[hosh]

Apple doesn’t have to win developer trust or build an AI platform. They just have to build a compelling consumer product that can only function with AI, and they are better equipped to do that than Google or Microsoft. It remains to be seen if OpenAI will go that route instead of a business built on training and providing access to foundational models.

[agentcoops]

Yes, this is the most important point and I think somehow least present in even discussions here: the technical question of who produces the best/cheapest LLM/future architecture is considerably less important than who, if anyone, creates a fundamentally new and dominant consumer experience built on AI. Most of the existing players (Google, Meta) would of course prefer that nobody produces such a newly dominant paradigm of computation for end-users since it would greatly reduce their relevance and subsequently revenues. Right now, ChatGPT is the only real contender in this space. However, I think you’re correct that it’s actually Apple who is most likely to be the next who attempts such a paradigm shift. Far too early to bet, but let’s say I wouldn’t be surprised if in five years we end up in a world in which Apple has the consumer monopoly and Microsoft the business monopoly, with Google and Meta falling into irrelevance.

[gremlinsinc]

I think Microsoft is going to eat openai, I mean the company is practically half in and out of Microsoft's mouth. Bing will likely add more and more features that are native to chatGPT, Google I think will eventually get in the game, Facebook is actually doing better than Google, especially for open source models which is buoying the smaller researchers and developers.

In the end one company will build AGI or super AGI that can do the function of any existing software even games, with any interface even VR, or no interface at all - just return deliverables like a tax return. The evolution might be, give me an easier but similar QuickBooks UI for accounting to just do my taxes, the company who gets here first could essentially put all other software companies out of business, especially SaaS businesses.

The first company to get there will basically be a corporate singularity and no other company will be able to catch up to them.

[theferalrobot]

>They just have to build a compelling consumer product that can only function with AI

Yeah and I'm not talking exclusively about developer trust. Given Apple's current consumer lineup (see Siri, Apple photos, predictive text etc)... we only have evidence that they suck at ML. What makes you think they are going to suddenly transform overnight?

[Aerbil313]

> see Siri, Apple photos, predictive text etc)... we only have evidence that they suck at ML

…or that they only deal with mature tech and not the shiny new thing. Makes sense to me. I don’t doubt everyone will have a personal LLM-based assistant in their phones soon, but with the current rate of improvements to LLMs and AI in general, I’d wait for at least a year more while doing R&D in-house if I were Apple.

[theferalrobot]

You could use that apologist language for any company. If they suck at something just say they are “biding their time” No. Apple is just demonstrably behind.

Having terrible predictive text, voice to text, image classification etc isn’t just a quark of the way they do business. Those are problems with years of established work put into them and they just flat out aren’t keeping up.

[hosh]

“Apologists” … this is the domain of strategic analysis, business and products. Apple, Google, et al are not feudal lords or entities owed personal allegiance, nor sporting teams for fans to rally around, nor are we talking about morality and ethics where Apple did something wrong and apologists are justifying it.

As far as whether they are keeping up or not, I disagree, but neither of our opinions really matter unless we’re betting — that is, taking actions based on calculated risks we perceive.

[hosh]

… because Siri, predictive text, etc suck because it isn’t using an LLM. Alexa, and the Google Assistants from the same era all suck as well. I don’t see how evidence that Apple sucked with pre-LLM ML is an indicator that they will suck with integrating an LLM into their products.

No one said anything about transforming overnight.

[mark_l_watson]

I have enjoyed working with CoreML over the last few years. Please share what you didn’t like about it.

[theferalrobot]

There are so many modern ML components that have terrible or no support in CoreML. Try to do any convolution other than conv2d, advanced or custom activation functions etc and you are out of luck. Exporting from PyTorch leads to all sorts of headaches with subtle behavior changes between implementations it is definitely a pain point for developers of widely used software

[mark_l_watson]

+1 thanks

[lachlan_gray]

Maybe MLX is meant to fill this gap?

https://github.com/ml-explore/mlx

[harryVic]

Can you give an example? I switched to android because i use personal assistant a lot while driving and siri was absolutely horrible.

[shrimpx]

- FaceID

- Facial recognition in Photos

- "Memories" in Photos

- iOS keyboard autocomplete using LLMs. I am bilingual and noticed in the latest iOS it now does multi-language autocomplete and you no longer have to manually switch languages.

- Event detection for Calendar

- Depth Fusion in the iOS camera app, using ML to take crisper photos

- Probably others...

The crazy thing is most/all of these run on the device.

[pants2]

The iPhone's built in text OCR and image subject cutouts are also extremely good, just in the photos app.

[shrimpx]

Yeah totally, I copy text from images all the time.

[kergonath]

The combination of automatic OCR and translation almost everywhere in the OS is great.

[pkage]

I just wish you could turn the multilingual keyboard off—I find that I usually only type in one language at a time and having the autocomplete recommend the wrong languages is quite frustrating

[shrimpx]

That's true, I have found that mildly annoying sometimes. But most of the time it's a win. It was really annoying manually switching modes over and over when typing in mixed-language, which I do fairly often. It'd be great if there was a setting though.

[cezart]

I had the opposite problem, the languages I usually typed in(Romanian + English) didn't have a multi language mode on iOS. So it was a constant pain to switch btw them when I needed to insert some English terms in Romanian sentences. IOS didn't support multi language for this language pair. On Android it always worked like a charm.

[shrimpx]

Hey I'm Romanian, too. The latest iOS does what you want -- it has multi-language support and typing mixed English + Romanian is seamless now. Yeah it was a total pain to keep switching languages before iOS 17.

[hansoolo]

To be honest I distrust Microsoft with swift key, but the it recognizes the change in language just smooth. I could switch languages in one sentence and it would understand what I am writing just fine, no Sill suggestions

[Aerbil313]

Apple recommending wrong words when you write in mixed-language was the case in iOS 15, so much I always needed to manually change my keyboard language. But it’s no more in iOS 17. As an example I just typed this entire comment in Turkish keyboard with English autocorrect and suggestions working.

Maybe the (most likely) AI-based thing requires some training though. I got my new iPhone a month or so ago.

[fennecbutt]

SwiftKey is great and if someone distrusts Microsoft for it...then fine, but various different companies "control" various different parts of my phone.

With an iPhone, it's only one company, that controls every little thing, and we have no insight into Apple at all. They can basically do whatever the hell they want.

[fennecbutt]

Yeah face id is pretty good, no android phones seem to use the ir dot camera which makes me think Apple has a "patent" on it ...lame considering the dot projector is ripped straight out of kinekt.

Google does the memory photo thing too, but only if you use their app which I don't.

Android has had multi language keyboard support for the longest time, in addition to being able to install whatever keyboard I like (I use SwiftKey, it's brilliant) I can also install an llm based one as I please.

Android/my keyboard already does event detection/suggestion in text and has been doing for as long as I remember.

None of these are reasons to buy an iPhone...just reasons to buy a phone, lmao.

[jmisavage]

FYI Apple bought the company that made the kinect sensors. The Face ID module on iPhones is a mini kinect.

[fennecbutt]

Are you so sure? Even this link is built on top of the work of others, I'm not sure they've contributed as much as you think they have.

[gxyt6gfy5t]

I wouldn’t go too far. They didn’t even train this model on Apple hardware. Trained on Nvidia A100s

[Affric]

Don’t TSMC make Nvidia’s chips too?

[shrimpx]

Yup! TSMC wins either way.

[slowmovintarget]

Personal ML systems running on hardware you own is the killer app. If these are "good enough" they'll be significantly preferable to using large subscription-based models, where those companies could pull a Lucy any day.

[emmender2]

generic first-order shallow argument

[zamalek]

You're suggesting that Apple could fit what can't be done with a 4090 into a laptop?

Color me doubtful.

[fennecbutt]

But Apple will just make a magical chip that's different to regular hardware cause they're the best company and invent all the things even if they've been seen before Apple still invented it first, just wait until their Super Unicorn Ultra™ chip comes out with Hyperdrive Retinated LLM™ support, they don't name normal hardware different just for marketing...it's really unique, new and inventive hardware that we're happy to pay a huge premium for because it's so advanced and inventive.