danvm

danox said:

danvm said:

tmay said:

avon b7 said:

chasm said:

22july2013 said:

Is Apple's model designed to be small enough to run natively on an iPhone? Are all the other models you mentioned small enough to run on an iPhone? (It's a sincere question; I don't know the answer. It sounds like you are comparing Apples to Oranges.)

Max_Troll isn't a good source of accurate information, so let me answer that one for you: Apple's models are designed to be as much on-device as possible, but of course the whole of human experience and knowledge isn't going to fit, so some tasks will be quickly handed to Apple's Private Cloud Compute online if needed.

For queries that involve specialized knowledge (like medical or legal advice, as examples, or other specialty areas), Apple will offer to send your query privately to OpenAI for an answer, but that requires your permission each time its needed. OpenAI doesn't get to collect your data, or train itself on your queries.

For more about how this all works, I'd suggest watching the "Apple Intelligence" video on Apple's YouTube channel rather than the entire keynote.

All that said, this article is about LLM and dataset models Apple is offering the wider AI community, not the specific models it will use on any of its own products. Apple has figured out how to create models that are modest in size AND use less computing power than the offerings from other companies, so it is offering those compression techniques and computing algorithms to the wider community.

That's a fair stab at an answer but, to be fair, claims in the article like this are off the mark:

"Apple's ability to create incredibly compact yet powerful AI models is unequaled in the industry."

There is a huge amount of research going into tiny LLM's and it seems new advances come out every week. Open source or not, and many are specifically tailored to specific areas or languages. Apple is unlikely to challenge native Chinese models for the Chinese language. And what about Arabic? 

When I say 'huge' I mean it's very difficult to know exactly what might appear and keep track of it all. 

Earbuds can make great use of NLP and everything related to voice biometrics, bone, conduction, audio processing etc. Little more is needed there. 

Then this:

"In debuting both Apple Intelligence and Private Cloud Compute at its WWDC conference in June, the company silenced critics who had claimed that Apple was behind the industry on artificial intelligence applications in its devices"

The critics were simply pointing out reality. No equivalent shipping product from Apple was available. That remains the case today and will remain the case until something actually ships. Sometime late this year on a small range of models and well into next year for the rest of what was announced.

To all intents and purposes 'Apple Intelligence' was more akin to a placeholder at WWDC to generate buzz and let people know what's coming.

That's fine but we still have to wait to see what eventually comes out of the pipe and how it performs. 

The more the better IMO but the 'industry' isn't slacking and is actually shipping. 

To date, AAPL has been rewarded nicely vs MSFT, so the market looks very favorably on Apple's AI implementation plans.

Perhaps those "critics" were entirely wrong?

MS CoPilot, as an example, has subsequently received quite a bit of "well earned" bad press by early users.

Perhaps the rush to deliver has consequences?

More to the point, critics totally ignored the fact that Apple has something on the order of 1.5 billion iPhone users, most of whom will upgrade in the future to more powerful AI hardware the does in essence allow increasingly larger models.

Calling this AI "race" at the starting gate, as you are oft to do, isn't a determining factor in Apple ultimate AI success. 

I could be wrong, but the only bad press MS had was with Windows 11 Recall, and not with CoPilot.  On the contrary, I have seen CoPilot working.  And while it's not perfect, it's very good, especially with the MS Office integration. 

Recall, Qualcomm SOC fiasco, Windows emulation software on Arm, Crowdstrike and Ads.......

https://www.pcmag.com/news/10-reasons-not-to-upgrade-to-windows-11 

https://www.microsoft.com/en-us/windows/business/windows-11-pro-onward-itdm?ef_id=_k_36c7ed8943d21155b9758b17d2c20ca4_k_&OCID=AIDcmmdmw4ue0n_SEM__k_36c7ed8943d21155b9758b17d2c20ca4_k_&msclkid=36c7ed8943d21155b9758b17d2c20ca4#layout-container-uid3104  Bold claims the most secure Windows ever.

Market inertia is what Microsoft leads in.

tmay said:

danvm said:

tmay said:

avon b7 said:

chasm said:

22july2013 said:

Is Apple's model designed to be small enough to run natively on an iPhone? Are all the other models you mentioned small enough to run on an iPhone? (It's a sincere question; I don't know the answer. It sounds like you are comparing Apples to Oranges.)

Max_Troll isn't a good source of accurate information, so let me answer that one for you: Apple's models are designed to be as much on-device as possible, but of course the whole of human experience and knowledge isn't going to fit, so some tasks will be quickly handed to Apple's Private Cloud Compute online if needed.

For queries that involve specialized knowledge (like medical or legal advice, as examples, or other specialty areas), Apple will offer to send your query privately to OpenAI for an answer, but that requires your permission each time its needed. OpenAI doesn't get to collect your data, or train itself on your queries.

For more about how this all works, I'd suggest watching the "Apple Intelligence" video on Apple's YouTube channel rather than the entire keynote.

All that said, this article is about LLM and dataset models Apple is offering the wider AI community, not the specific models it will use on any of its own products. Apple has figured out how to create models that are modest in size AND use less computing power than the offerings from other companies, so it is offering those compression techniques and computing algorithms to the wider community.

That's a fair stab at an answer but, to be fair, claims in the article like this are off the mark:

"Apple's ability to create incredibly compact yet powerful AI models is unequaled in the industry."

There is a huge amount of research going into tiny LLM's and it seems new advances come out every week. Open source or not, and many are specifically tailored to specific areas or languages. Apple is unlikely to challenge native Chinese models for the Chinese language. And what about Arabic? 

When I say 'huge' I mean it's very difficult to know exactly what might appear and keep track of it all. 

Earbuds can make great use of NLP and everything related to voice biometrics, bone, conduction, audio processing etc. Little more is needed there. 

Then this:

"In debuting both Apple Intelligence and Private Cloud Compute at its WWDC conference in June, the company silenced critics who had claimed that Apple was behind the industry on artificial intelligence applications in its devices"

The critics were simply pointing out reality. No equivalent shipping product from Apple was available. That remains the case today and will remain the case until something actually ships. Sometime late this year on a small range of models and well into next year for the rest of what was announced.

To all intents and purposes 'Apple Intelligence' was more akin to a placeholder at WWDC to generate buzz and let people know what's coming.

That's fine but we still have to wait to see what eventually comes out of the pipe and how it performs. 

The more the better IMO but the 'industry' isn't slacking and is actually shipping. 

To date, AAPL has been rewarded nicely vs MSFT, so the market looks very favorably on Apple's AI implementation plans.

Perhaps those "critics" were entirely wrong?

MS CoPilot, as an example, has subsequently received quite a bit of "well earned" bad press by early users.

Perhaps the rush to deliver has consequences?

More to the point, critics totally ignored the fact that Apple has something on the order of 1.5 billion iPhone users, most of whom will upgrade in the future to more powerful AI hardware the does in essence allow increasingly larger models.

Calling this AI "race" at the starting gate, as you are oft to do, isn't a determining factor in Apple ultimate AI success. 

I could be wrong, but the only bad press MS had was with Windows 11 Recall, and not with CoPilot.  On the contrary, I have seen CoPilot working.  And while it's not perfect, it's very good, especially with the MS Office integration. 

Your mileage varied...

https://www.youtube.com/watch?v=dx-tMK7w5g8

tmay said:

avon b7 said:

chasm said:

22july2013 said:

Is Apple's model designed to be small enough to run natively on an iPhone? Are all the other models you mentioned small enough to run on an iPhone? (It's a sincere question; I don't know the answer. It sounds like you are comparing Apples to Oranges.)

Max_Troll isn't a good source of accurate information, so let me answer that one for you: Apple's models are designed to be as much on-device as possible, but of course the whole of human experience and knowledge isn't going to fit, so some tasks will be quickly handed to Apple's Private Cloud Compute online if needed.

For queries that involve specialized knowledge (like medical or legal advice, as examples, or other specialty areas), Apple will offer to send your query privately to OpenAI for an answer, but that requires your permission each time its needed. OpenAI doesn't get to collect your data, or train itself on your queries.

For more about how this all works, I'd suggest watching the "Apple Intelligence" video on Apple's YouTube channel rather than the entire keynote.

All that said, this article is about LLM and dataset models Apple is offering the wider AI community, not the specific models it will use on any of its own products. Apple has figured out how to create models that are modest in size AND use less computing power than the offerings from other companies, so it is offering those compression techniques and computing algorithms to the wider community.

That's a fair stab at an answer but, to be fair, claims in the article like this are off the mark:

"Apple's ability to create incredibly compact yet powerful AI models is unequaled in the industry."

There is a huge amount of research going into tiny LLM's and it seems new advances come out every week. Open source or not, and many are specifically tailored to specific areas or languages. Apple is unlikely to challenge native Chinese models for the Chinese language. And what about Arabic? 

When I say 'huge' I mean it's very difficult to know exactly what might appear and keep track of it all. 

Earbuds can make great use of NLP and everything related to voice biometrics, bone, conduction, audio processing etc. Little more is needed there. 

Then this:

"In debuting both Apple Intelligence and Private Cloud Compute at its WWDC conference in June, the company silenced critics who had claimed that Apple was behind the industry on artificial intelligence applications in its devices"

The critics were simply pointing out reality. No equivalent shipping product from Apple was available. That remains the case today and will remain the case until something actually ships. Sometime late this year on a small range of models and well into next year for the rest of what was announced.

To all intents and purposes 'Apple Intelligence' was more akin to a placeholder at WWDC to generate buzz and let people know what's coming.

That's fine but we still have to wait to see what eventually comes out of the pipe and how it performs. 

The more the better IMO but the 'industry' isn't slacking and is actually shipping. 

To date, AAPL has been rewarded nicely vs MSFT, so the market looks very favorably on Apple's AI implementation plans.

Perhaps those "critics" were entirely wrong?

MS CoPilot, as an example, has subsequently received quite a bit of "well earned" bad press by early users.

Perhaps the rush to deliver has consequences?

More to the point, critics totally ignored the fact that Apple has something on the order of 1.5 billion iPhone users, most of whom will upgrade in the future to more powerful AI hardware the does in essence allow increasingly larger models.

Calling this AI "race" at the starting gate, as you are oft to do, isn't a determining factor in Apple ultimate AI success.