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Apple Intelligence Foundation Language Models Tech Report 2025

machinelearning.apple.com

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Re: Apple Intelligence Foundation Language Models Tech Report 2025

#81
post #68

Despite all the “Apple is evil” or “Apple is behind” (because they don’t do evil). Well, what they made with the Foundation Model is great. The fact that they build a system within the Swift language that allows you to specify structured data models (structs) to be used like any other model in a modern programming language, and you actually get back generated data in that format is great. Unlike a lot of other AIs wh…

Guided generation is called "Structured Output" by other providers? Well partially generated content streaming thing is great and I haven't seen it anywhere else.

An issue with this is that model quality can get a lot lower when you force it into a structured form, because it's out of distribution for the model.

(I'm pretty sure this is actually what drove Microsoft Sydney insane.)

Reasoning models can do better at this, because they can write out a good freeform output and then do another pass to transform it.

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#82

Earlier quoted context omitted.

> why isn’t my iPhone actually doing any of this yet? What exactly are you referring to? Models do run on iPhone and there are features that take advantage of it, today.

None of those features are in any way interesting though. Image playground is a joke, Siri is a joke, that generative emoji thing is a joke. The AI stuff with photography sure, but that’s more like machine learning. The photo touch up thing is… useable? Sometimes? What is it you’ve been so impressed with?

The main features are text summarization, search, and writing tools.

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#83
post #52

Earlier quoted context omitted.

I wouldn’t go as far as GP, but yes, absolutely, they must compete with large models on the internet. Customers are now used to being able to ask a computer a question and get something better than “I just ran a web search for what you said, here are the uncurated, unsummarized results”. Yes, this is in fact what people want. Apple is the biggest company in the world (don’t quibble this y’all, you know what I mean) a…

This usecase is run of the mill for someone like Google, who used to store and show you your location forever, but it's not in Apple style. It's hard to be like "uhhh privacy" when you send all requests to a remote server where they're stored in clear text for god knows how long. As of right now, there is no way to run big LLMs in a privacy preserving manner. It just doesn't exist. You can't E2EE encrypt these servic…

Read https://security.apple.com/documentation/private-cloud-compu.... It's very thorough and as good as you could possibly do this.

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#84
post #2

The dozens of "contributors" being presented in random order is, one would suppose, an anti-poaching tactic?

Considering a large portion of the contributors have names originating in a script and language that has no relationship whatsoever to English’s already arbitrary letter ordering, this list configuration is as good as any.

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#85
post #58
post #46

Here is my question… This is the first time that millions of people will actually download and run a model on their own devices. The question is… will Apple be constantly tweaking these models, or only during OS upgrades? I for one really like local software. Call me old-fashioned, but I enjoy when a company doesn’t switch up software anytime on the server, or phone the results home all the time in order to extract m…

The model is gigabytes so I doubt they will push updates frequently.

Educate me: is there any work on modifying models in a way that changes relatively few parameters, so an update is a smaller payload?

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#86
post #58

Earlier quoted context omitted.

The model is gigabytes so I doubt they will push updates frequently.

Educate me: is there any work on modifying models in a way that changes relatively few parameters, so an update is a smaller payload?

Yeah, LoRAs. Apple uses them to specialize a single model for different uses.

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#87
post #52

Earlier quoted context omitted.

Only if you think they _must_ compete with large models on the internet.

I wouldn’t go as far as GP, but yes, absolutely, they must compete with large models on the internet. Customers are now used to being able to ask a computer a question and get something better than “I just ran a web search for what you said, here are the uncurated, unsummarized results”. Yes, this is in fact what people want. Apple is the biggest company in the world (don’t quibble this y’all, you know what I mean) a…

Erm, have you heard of these things called apps? It’s this magical concept where other companies can run code your iPhone, and deliver all the features you just talked about.

I don’t really understand why Apple has to provide a ChatGPT product, baked directly into their software. Why on earth would Apple want to get involved in the race to the bottom for the cheapest LLMs? Apple doesn’t produce commodity products, they package commodities into something much more unique that gives them a real competitive advantage, so people are willing to pay a premium for the Apple’s product, rather than just buying the cheapest commodity equivalent.

There is no point Apple just delivering an LLM. OpenAI, Anthropic, Google etc already do that, and Apple is never going to get into the pay-per-call API service they all offer. Delivering AI experiences using on-device only compute, that’s something OpenAI, Anthropic and Google can’t build, which means Apple can easily charge an premium for it, assuming they build it.

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#88
post #67

Earlier quoted context omitted.

People often use specific user agents in there, which is hard if you don't know what the user agents are in advance!

If you're using a specific user agent, then you're saying "I want this specific user agent to follow this rule, and not any others." Don't be surprised when a new bot does what you say! If you don't want any bots reading something, use a wildcard.

Sure, but I still think it's OK to look at Apple with a raised eyebrow when they say "and our previously secret training data crawler obeys robots.txt so you can always opt out!"

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#89

> We believe in training our models using diverse and high-quality data. This includes data that we’ve licensed from publishers, curated from publicly available or open- sourced datasets, and publicly available information crawled by our web-crawler, Applebot. > We do not use our users’ private personal data or user interactions when training our foundation models. Additionally, we take steps to apply filters to remo…

> Using our web crawling strategy, we sourced pairs of images with corresponding alt-texts. An issue for anti-AI people, as seen on Bluesky, is that they're often "insisting you write alt text for all images" people as well. But this is probably the main use for alt text at this point, so they're essentially doing annotation work for free.

I think it is entirely morally consistent to provide alt text for accessibility even if you personally dislike it being used to train AI models.

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#90

> We believe in training our models using diverse and high-quality data. This includes data that we’ve licensed from publishers, curated from publicly available or open- sourced datasets, and publicly available information crawled by our web-crawler, Applebot. > We do not use our users’ private personal data or user interactions when training our foundation models. Additionally, we take steps to apply filters to remo…

Gotta polish that fig-leaf to hide Apple's real stance towards user privacy: arstechnica.com/tech-policy/2023/12/apple-admits-to-secretly-giving-governments-push-notification-data/

> Apple has since confirmed in a statement provided to Ars that the US federal government "prohibited" the company "from sharing any information,"

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