Live data from Hacker News

Apple Intelligence Foundation Language Models Tech Report 2025

machinelearning.apple.com

151–160 of 210 posts

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#151

This isn’t the Apple I remember. Product integration falls apart at every seam, but don’t worry—we’ve got plenty of impressive technical documentation to compensate. I’m sure Jobs would be thrilled to see his ‘it just works’ philosophy replaced with ‘it barely works, but here’s a 50-page PDF explaining why.

The philosophy is the same, and since it was never implemented in the mythical era of Jobs, so is the practice. So he'd be as thrilled as he was back then?

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#152

All I can say is, I asked Siri today (verbatim): What is 75 degrees fahrenheit in celsius, and what is 85 degrees in fahrenheit — and it offered a web search about fahrenheit. The "and" completely disabled its most basic ability to do metric conversions. So, it's nice to see Apple is doing research and talking about it, but we're out here waiting, still waiting, for anything useful to make of it all on our thousand-d…

You asked 2 questions in a system made for 1 question at a time. Split these up and Siri answers them fine. You’re holding it wrong.

A tool that can handle more than one question at a time is useful. Modern LLMs handle that with ease. So it's completely reasonable to be critical of that limitation.

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#153

> 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…

Respect, but its going to be terrible compared to every other company. You can only hamstring yourself so much.

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#154

Earlier quoted context omitted.

To use their APIs at a discount, so what?

Apple aren’t paying OpenAI anything: https://www.bloomberg.com/news/articles/2024-06-12/apple-to-...

They paid in exposure, unironically.

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#155

Earlier quoted context omitted.

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?

> why isn’t my iPhone doing any of this yet? > Ok its doing it in 4 or 5 products, but thats a joke. Not every AI product is a chatbot.

The joke is that it does it terribly, not whether it does it at all.

Wow.

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#156

> 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…

You shouldn't believe Big Tech on their PR statements.

They are decades behind in AI. I have been following AI research for a long time. You can find best papers published by Microsoft, Google, Facebook in past 15 years but not Apple. I don't know why but they didn't care about AI at all.

I would say this is PR to justify their AI state.

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#157

> 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…

You shouldn't believe Big Tech on their PR statements. They are decades behind in AI. I have been following AI research for a long time. You can find best papers published by Microsoft, Google, Facebook in past 15 years but not Apple. I don't know why but they didn't care about AI at all. I would say this is PR to justify their AI state.

Apple used to be at the edge of AI. They shipped Siri before "AI assistant" went mainstream, they were one of the first to ship an actual NPU in consumer hardware and put neural networks into features people use. They were spearheading computational photography. They didn't publish research, they're fucking Apple, but they did do the work.

And then they just... gave up?

I don't know what happened to them. When AI breakthrough happened, I expected them to put up a fight. They never did.

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#158

> 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.

[flagged]

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#159

> 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.

  > this is probably the main use for alt text at this point
Alt text gives you 2k characters. All I gotta say is there's quite a bit of poisoned data

Re: Apple Intelligence Foundation Language Models Tech Report 2025

#160

Earlier quoted context omitted.

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.

Yes, and these are all pointless.

‘Writing tools’ is there in the text pop up now instead of ‘look up’ even if you’re selecting text on a webpage. It’s just in the way and useless.

Post reply on HN