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This is the baseline of what I consider a useful AI in my phone (anything less, any hiccup, any request to log in here or there I would make it all useless).

Imagine I have some water damage in my home and I want to file an insurance claim.

Siri would get into my insurance app on its own (without asking me what app), would log in on its own.

Siri would start the insurance claim on its own and walk me through the different steps (making me dictate text, take photos etc) , it would then file the claim and manage on its own to check the status of the claim in a few weeks).

That’s what I want. Otherwise, don’t even bother.
Today Siri and shortcuts are 10 extra steps to save one.
Tim, you know what to do.
 
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The AVP or one of its successors is the future of computing. The AVP in my opinion is a product that was released as soon as it was ready for "beta testers". Apple has done about as much as it can behind closed doors on that products development. It was time to let the product to be used by the masses. Those users will tell Apple where they believe they went wrong. Is it ready for prime time, no. It is ready for early adopters and developers to start to see where the product will go in the future.
AI can enhance existing computing well into the future and is not regulated to individual usage, mixed reality headsets are an attempt to mix two different usages that don’t necessarily need to occur to advance computing. You do not need to isolate yourself from the world to improve computing. AR can be used to extend your existing computing to do things impractical without its accuracy or additional information. VR simulations are great for training, education, entertainment but still impractical on the go while coexisting with the real world. Apple needs to advance more towards widespread devices that offer AR combined with AI for usage anywhere IMHO. Thats the future of computing. ;)
 
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Things I'm interested in seeing:
- Can Apple come up with some better use of LLMs over everything that's out there today, or stuff that will be out there by the time WWDC rolls around.
- What makes their LLM different from a ChatGPT/Gemini. I mean, Apple tells us our data is all secure, where are they going to get data to train their AI. Are they going to use anonymous iCloud data? personalize their AI for my iCloud data?

I'd like to see my Apple notes (written with a pencil) incorporated into my personal AI model...
 
Imagine the $10 billion spent over 10 years on Apple Car was instead used on generative A.I. instead?

OpenAI started operations 9 years ago. ChatGPT costs $70k-100k daily to operate.

I think countries & continents are better off deploying Tokyo-quality railway lines and stations on all major routes with passenger capacities to accommodate peak Christmas season traffic.

The 2nd most expensive purchase almost all consumers makes in their lives is a car/motorcycle. Many of these persons have no choice to buy one. Many of these owners do not have the driving skills either.

They do not have as good an public transit option that is as reliable.
 
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No it's not. They oversee software development for platforms used by over a billion devices every day. They have to be doing something right to get to over a billion daily active users.
Just because you make software that has a large user base doesn't infer quality.
 
Too late. There has been machine learning in Apple’s products for years.
There is a distinction between "AI" the "regenerative AI" stuff blowing up right now, and "machine learning" which is the simplistic tracking of user interactions with the OS (such as for example, predictive text).
 
That sounds like you are asking for …. AI.

Each of those things could be better automated with some AI in the mix.

People keep bringing up the current Siri and acting like that is all that it can ever be. What has been rumored will essentially be a ground up replacement for Siri. Hell, they could finally rename it though that might be a little too much. 😊
I know it sounds like AI to you and to me. But does it coincide with Apple’s vision or implementation of AI ?
 
There is a distinction between "AI" the "regenerative AI" stuff blowing up right now, and "machine learning" which is the simplistic tracking of user interactions with the OS (such as for example, predictive text).
The old predictive text might have been machine learning.The new predictive text engine is a Transformer model, just like an LLM.
 
Must have a pretty simple job then or are just being stubborn to use it. The new generation of workers will be masters of using AI and if we don’t adopt it we will be left behind.
I work in a warehouse of a supermarket, not sure if it is simple or not, but even so not sure what that has to do with AI on my personal devices.
I doubt very much if my job will need AI, unless they decide to get robots to unload lorries and sort out stock. May do one day, but I doubt I will worry about it at my age.

I dpon;t want AI on my Mac, one of the reason I went away from Windows is because of the way it is going. Maybe I need to look at linux. I would have gone to Linux before i got my Mac if the software was available, I want to use
 
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If the Vision Pro contains an M2 chip, do you think that automatically means all M2 devices will be able to use all the upcoming AI features? Sounds logical, what do you think?
 
If the Vision Pro contains an M2 chip, do you think that automatically means all M2 devices will be able to use all the upcoming AI features? Sounds logical, what do you think?
Anything that has Apple’s NPUs are going to run some of these features.
 
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Well, and here’s hoping the other devices with the neural engine can do anything else in the cloud. Since Siri, for example, can do some things on the edge but others must be done in the cloud.
 
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