Earlier quoted context omitted.
Woa, good catch! Maybe they're doing better about at least being concrete about it, though I still have to side-eye "Users control their devices" (Even with root on macbooks I don't have access to everything running on it). However, the section that promises to open-source the cloud software are impressive and if true gives them more credibility than I assumed. I would still look out for places where devices they do…
> Even with root on macbooks I don't have access to everything running on it Just disable System Integrity Protection and then you do.
Apple's On-Device and Server Foundation Models
151–160 of 562 posts
Re: Apple's On-Device and Server Foundation Models
#152Absolutely awesome amount of content in these two pages. This was not expected. It is appreciated. I can’t wait to use the server model on a Mac to spin up my own cloud optimized for the Apple stack.
Edit: I see they're committing to publishing the OS images running on their inference servers (https://security.apple.com/blog/private-cloud-compute/). Would be cool if that allowed people to run their own.
Re: Apple's On-Device and Server Foundation Models
#153Re: Apple's On-Device and Server Foundation Models
#154I hope, this could mean Apple will push the baseline of ALL Macs to have higher than 8GB of Memory. While I wish we all get 16GB M4 as baseline. Apple being Apple may only give us 12GB, and charges extra $100 for the 16GB option. It will still be a lot better than 8GB though.
Also when I compare with my co-workers the memory pressure is a lot less running the same software on macOS than Windows. This might have to be due to the UI framework at play.
But that said, I totally agree that Apple is doing daylight robbery with their additional RAM pricing, and the minimum on offer is laughable.
Re: Apple's On-Device and Server Foundation Models
#155Halfway down the article contains some great charts with comparisons to other relevant models, like Mistral-7B for the on-device models, and both gpt-3.5 and 4 for the server-side models. They include data about the ratio of which outputs human graders preferred (for server side it’s better than 3.5, worse than 4). BUT, the interesting chart to me is „Human Evaluation of Output Harmfulness” which is much, much ”bette…
Re: Apple's On-Device and Server Foundation Models
#156Absolutely awesome amount of content in these two pages. This was not expected. It is appreciated. I can’t wait to use the server model on a Mac to spin up my own cloud optimized for the Apple stack.
Re: Apple's On-Device and Server Foundation Models
#157> We train our foundation models on licensed data, including data selected to enhance specific features, as well as publicly available data collected by our web-crawler, AppleBot. Web publishers have the option to opt out of the use of their web content for Apple Intelligence training with a data usage control. And, of course, nobody has known to opt-out by blocking AppleBot-Extended until after the announcement wher…
I hate to tell you, but I've been training a neural network on the internet for over a decade now. Specifically the one between my ears. Unfortunately, it seems to be gradually going insane.
Re: Apple's On-Device and Server Foundation Models
#158Earlier quoted context omitted.
It cheapens the incentive greatly. And you probably aren't selling your photos to make a living.
Selling art as a way of making a living actually is a pretty recent thing. Up until not too long ago patronage was pretty much the only way to survive for artists. Maybe we will go back to that model?
Re: Apple's On-Device and Server Foundation Models
#159Earlier quoted context omitted.
So built on stolen data essentially.
What’s the problem with that? Reproducing copyrighted works in full is problematic obviously. But if I learned English by watching American movies, I didn’t steal the language from the movie studios, I learned it.
Re: Apple's On-Device and Server Foundation Models
#160Absolutely awesome amount of content in these two pages. This was not expected. It is appreciated. I can’t wait to use the server model on a Mac to spin up my own cloud optimized for the Apple stack.
What makes you think you'll get that model? Edit: I see they're committing to publishing the OS images running on their inference servers ( https://security.apple.com/blog/private-cloud-compute/ ). Would be cool if that allowed people to run their own.