Looks like AI reached it's peak already. Every new architecture is just a new wrapper that has nothing to do with ml.
Apple reveals new AI architecture built around Google Gemini models
571–580 of 609 posts
Re: Apple reveals new AI architecture built around Google Gemini models
#572Earlier quoted context omitted.
They are not _only_ using Google Cloud. They continue to build and invest in their own datacenters. It's not a binary choice.
Yeah, but the models are running in Google Cloud which makes sense they are based on Gemini.
They appear to be running them on both GCP and in their datacenter.
Re: Apple reveals new AI architecture built around Google Gemini models
#573Earlier quoted context omitted.
There is a comment in this thread from an alleged Apple employee that said that, but it doesn't seem like it's possible to send a link for a specific comment. Over the years I've seen comments and blogs posted here in Hacker News reaffirming the same thing. But to answer your question directly, I don't have any links for those blogs or comments
> it doesn't seem like it's possible to send a link for a specific comment Click on where it says how long ago the comment was posted For example https://news.ycombinator.com/item?id=48461367
Thank you!
Re: Apple reveals new AI architecture built around Google Gemini models
#574Earlier quoted context omitted.
There has been anecdotal statements/blogs from Apple employees about the data privacy. They have said building some internal capabilities or user facing features are extremely difficult or impossible because they aren't able to access user data at the level required.
Do you have any examples?
I'm replying again because another commenter showed how to link to a comment
Re: Apple reveals new AI architecture built around Google Gemini models
#575It is weird and disturbing that Apple has no native AI capability. This is one of the most cash rich companies in the world and it has failed to have any position in the most critical technology development perhaps ever. It's a clear signal that Apple became the most incredible operational/execution company under Tim Cook, but lost its innovation leadership.
Come back when most of AI model makers go belly up....
Apple largest acquisition in their entire history is three billion dollars (Beats), Sam OpenAI got nothing and Google is getting a measly one billion dollar refund for Gemini.
Innovation is Apple Silicon and the five ecosystems (Microsoft and Nvidia aren't sparking now for nothing), Innovation is being the last American vertical computer company left from the 1980's who has been able switch gears went necessary (the next gear shift will probably be memory)...
Re: Apple reveals new AI architecture built around Google Gemini models
#576Earlier quoted context omitted.
You don't stay the most cash-rich company by chasing every expensive fad and they've been equally conservative with other "THIS WILL CHANGE EVERYTHING" tech fads such as Cryptocurrency and VR. I don't blame them for not rushing to light Billions a month on fire like the other big players; their play always seems to be to let things shake out and then deliver something refined and sophisticated. There also doesn't see…
They did light billions on fire for VR, just not as publicly
Hardly everything in the Apple Vision is in/comes from the Mac, iPhone, iPad, and Apple Watch hardware wise and software wise all you need do use them its called being the last major American vertical computer company left. Light billions on fire OpenAI, Google, were hopeful but got nothing.
Re: Apple reveals new AI architecture built around Google Gemini models
#577Earlier quoted context omitted.
> It's strange to me that Apple would choose to disadvantage themselves How exactly are they disadvantaging themselves? Perhaps expand on that opinion a bit, and the data/assumptions you're making in forming it. My naive assumption is that they're going to do what everyone is doing: make tooling that lets you swap in any model. I don't think it's fair to assume incompetence, on their part. I think it's much safer to…
> My naive assumption is that they're going to do what everyone is doing: make tooling that lets you swap in any model. They are a ways away from that for Siri, as they can't guarantee third party tooling meets their security and privacy requirements. Meeting those security and privacy requirements also makes it harder for a third party to monetize their investment or ongoing use of infrastructure. But I suspect you…
I'm a bit lost, since you didn't answer directly. Are you saying Apples privacy/security requirements are the "disadvantage" you were talking about?
Re: Apple reveals new AI architecture built around Google Gemini models
#578Runs on Apple's private cloud compute, but is not available to Apple... That seems like a contradiction.
It does, I agree. That said, they've published some Apple Research docs/papers & core documentation where they outline the architecture and how it works. Personally I think their approach is fascinating. https://security.apple.com/documentation/private-cloud-compu... https://security.apple.com/blog/expanding-pcc/ https://security.apple.com/blog/private-cloud-compute/
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Re: Apple reveals new AI architecture built around Google Gemini models
#579Sort of expected this at the first attempt. Use their existing partnership for Google being the default search with Google and leverage Google's models.
Re: Apple reveals new AI architecture built around Google Gemini models
#580It's strange to me that Apple would choose to disadvantage themselves by selecting Google as their provider as opposed to, say, Anthropic or even OpenAI. Doesn't this mean they'll struggle more to differentiate themselves from the assistant on Android phones? Thinking more cynically, couldn't Google, if they wanted, feed Apple an inferior version of Gemini, ensuring they stay ahead? As the consumer, this just sucks b…
I see it differently… Apple has chosen to treat the model as a commodity. By making Gemini an implementation detail, they leave the door open to swap it out for Anthropic or OpenAI without end-users even knowing or caring. So I think they're creating leverage in any future negotiation.
I thought this seemed significant at the time: https://github.com/ml-explore/mlx/pull/1983