Wait a minute... Isn't OpenAI "Open" as in open source?
Ok, Apple should go with OpenAI. Just contribute some money to the pot and get their models and refine them like Microsoft. Besides, Apple is already licensing voice recognition for SIRI from Microsoft, since they bought Nuance.
Google will likely be much more expensive than OpenAI and perhaps arguably more refined.
These models are probably mainly standardized and are differentiated mostly by training. Time will tell.
Apple really needs to build their own. It’s not a secret what openAI does. And apple will likely want to build a more robust, yet less invasive and less unethical system.
OpenAI is crap. It’s a fun experiment so far. As a shipping product? Crap.
AI on the edge is the pathway Apple is on, phoning home and having the end user wait is the path Google, Microsoft, Meta, Qualcomm and Samsung are on. Why? Their SOC'S/OS software are way behind Apple.
Apple continues to sell Macs with 8 GB and most iPhones with 6 GB. It seems generative AI will need devices with 12, 16, or 20 GB memory in total. Memory can't be upgraded in any of the devices made by Apple. Apple is aware and should have shipped all M3 products with at least 16 GB, lowered memory prices, and updated the iPhones with extra memory if AI-on-device was the goal.
Is the processor ready? No. The M3 Max tops out at 18 TOPS for AI which is at the level of iPhone 14 Pro. M3 Max delivers half the AI performance of iPhone 15 Pro. Testing showed that what takes a M3 Max 100 seconds is handled within 8 seconds by a Nvidia 4090 (launched 1 year ahead of M3 Max). And Apple killed the eGPU to make upgrades impossible.
None of this sounds like Apple is having a honest or clear pathway to run AI-on-device for current devices.
The current Samsung/Google smartphones have 8-12 gigs of memory a bigger battery and most are using 8 cores to (Apple at 6-8 gigs of memory, 6 cores, smaller battery with lower wattage usage) on their SOC'S with LiDAR and yet Androids still phone home for major functionally? how's that working for them in comparison Apples latest iPhones not very well.
https://browser.geekbench.com/mobile-benchmarks (Multi Platform) Apple has more powerful and more effective SOC's with better more efficient software design, the Apple Silicon/OS design advantage carries over to laptops/iPads/Mac Studios/Apple Vision. AI/ML/Neural engine on the edge with LiDAR as a bonus since 2020.
Apple is hardly behind but they are on a different path and actually are able to execute on hardware and software Apple doesn't need Google the Tensor is 5 or 6 years behind Apple right now and Google is a long way from running AI locally on their feeble Tensor SOC'S and Samsung is (hopelessly) even further away and Microsoft isn't even in the mobile ball game right now, note Wall Street is clueless about this little detail in their AI Hype train.
AI on the edge is the pathway Apple is on, phoning home and having the end user wait is the path Google, Microsoft, Meta, Qualcomm and Samsung are on. Why? Their SOC'S/OS software are way behind Apple.
What Apple does need to do/consider is leveraging the full benefit of Apple Silicon, the low power/wattage, speed, UMA memory combined with a OS optimized to the hardware just screams out, the M3 Studio Ultra with 256 gigs (coming at WWDC) or a Mac M3 Extreme (CarPlay wasn't all for nothing) Pro tower with 512 gigs just says welcome to the world of inference on the Mac. Apple is/has been working on software tools to support developers for long time.
Apple has been consistent in their AI/ML on the edge pathway. Apple won't be using Google anymore for AI than they currently use Google maps.
I think that Apple have no option but AI on the edge. They don't have the datacenters or infrastructure to run AI / LMM as MS, Google or Meta. And MS is going for AI on the edge too, with the new processors + NPU from Intel, AMD and Qualcomm. Looks like MS is the one with all bases covered, from edge to the cloud and AI services.
No Apple in house data centers yet? Servers are low hanging fruit if that list of companies Google, Microsoft, Meta, Qualcomm and Samsung are involved having a in house OS and Apple Silicon SOC'S are far more important to the future of Apple when it comes to creating new profitable ecosystems.
You forgot Amazon on that list getting rid of Intel was a higher priority to Apple and that modem problem with Qualcomm is still on the higher priority list, after all you can't get to that smaller Apple Vision glasses solution without kicking Qualcomm out.
Google, and Meta want user data that is their sole number one interest in cloud based solutions and Samsung is just along for the ride.
That would be completely disastrous given that Google attempts to defeat all privacy measures. Apple should take about five minutes to their own superior generative AI. A five year old could beat Gemini.
Apple is hardly behind but they are on a different path and actually are able to execute on hardware and software Apple doesn't need Google the Tensor is 5 or 6 years behind Apple right now and Google is a long way from running AI locally on their feeble Tensor SOC'S and Samsung is (hopelessly) even further away and Microsoft isn't even in the mobile ball game right now, note Wall Street is clueless about this little detail in their AI Hype train.
AI on the edge is the pathway Apple is on, phoning home and having the end user wait is the path Google, Microsoft, Meta, Qualcomm and Samsung are on. Why? Their SOC'S/OS software are way behind Apple.
What Apple does need to do/consider is leveraging the full benefit of Apple Silicon, the low power/wattage, speed, UMA memory combined with a OS optimized to the hardware just screams out, the M3 Studio Ultra with 256 gigs (coming at WWDC) or a Mac M3 Extreme (CarPlay wasn't all for nothing) Pro tower with 512 gigs just says welcome to the world of inference on the Mac. Apple is/has been working on software tools to support developers for long time.
Apple has been consistent in their AI/ML on the edge pathway. Apple won't be using Google anymore for AI than they currently use Google maps.
I think that Apple have no option but AI on the edge. They don't have the datacenters or infrastructure to run AI / LMM as MS, Google or Meta. And MS is going for AI on the edge too, with the new processors + NPU from Intel, AMD and Qualcomm. Looks like MS is the one with all bases covered, from edge to the cloud and AI services.
You’re saying that Apple Music Apple, iMessage Apple, iCloud Apple, Siri Apple…. Doesn’t have the infrastructure or hasn’t been building the infrastructure to run AI? They’re already RUNNING AI.
Also, Apple partners with a few to ensure the ship doesn’t leak. Microsoft surely doesn’t have some corner on the market. LOL
Apple has been supposedly working on a SIRI upgrade for a while now. Add generative capabilities to the new SIRI and it’s done. Apple may choose to follow the current trend of pay for more generations. But I sincerely hope they include it as an Apple differentiator. Bypass the Nick and dime crap. Do it or don’t. But I can see the pulling an iCloud plus thing.
Also, M series has been ready for AI from launch. And they’re only adding more neural engines. It could be that we can on-device AI processing while the beggars get cloud crap. That would be something.
Just so long as it’s not connected to that Gemini trash.
From what I have seen, Apple has been focused with AI in the edge, not in the cloud. And while they have data centers, are they ready for AI / LMM? If that's the case, why they are working with Google for Gemini?
MS is also going forward with AI PC's. Looks like this year we'll see PC's with CPU + NPU from AMD, Intel and Qualcomm for on-device AI processing. And they are one of the largest, if not the largest, customers of Nvidia AI GPU's, and also have their own AI processor.
Apple is hardly behind but they are on a different path and actually are able to execute on hardware and software Apple doesn't need Google the Tensor is 5 or 6 years behind Apple right now and Google is a long way from running AI locally on their feeble Tensor SOC'S and Samsung is (hopelessly) even further away and Microsoft isn't even in the mobile ball game right now, note Wall Street is clueless about this little detail in their AI Hype train.
AI on the edge is the pathway Apple is on, phoning home and having the end user wait is the path Google, Microsoft, Meta, Qualcomm and Samsung are on. Why? Their SOC'S/OS software are way behind Apple.
What Apple does need to do/consider is leveraging the full benefit of Apple Silicon, the low power/wattage, speed, UMA memory combined with a OS optimized to the hardware just screams out, the M3 Studio Ultra with 256 gigs (coming at WWDC) or a Mac M3 Extreme (CarPlay wasn't all for nothing) Pro tower with 512 gigs just says welcome to the world of inference on the Mac. Apple is/has been working on software tools to support developers for long time.
Apple has been consistent in their AI/ML on the edge pathway. Apple won't be using Google anymore for AI than they currently use Google maps.
I think that Apple have no option but AI on the edge. They don't have the datacenters or infrastructure to run AI / LMM as MS, Google or Meta. And MS is going for AI on the edge too, with the new processors + NPU from Intel, AMD and Qualcomm. Looks like MS is the one with all bases covered, from edge to the cloud and AI services.
No Apple in house data centers yet? Servers are low hanging fruit if that list of companies Google, Microsoft, Meta, Qualcomm and Samsung are involved having a in house OS and Apple Silicon SOC'S are far more important to the future of Apple when it comes to creating new profitable ecosystems.
You forgot Amazon on that list getting rid of Intel was a higher priority to Apple and that modem problem with Qualcomm is still on the higher priority list, after all you can't get to that smaller Apple Vision glasses solution without kicking Qualcomm out.
Google, and Meta want user data that is their sole number one interest in cloud based solutions and Samsung is just along for the ride.
In house OS and ASi are important to Apple since they don't have a data center infrastructure in place for AI / LMM. That's the reason they are talking with Google for Gemini. That's different from MS, that is ready to announce AI PC's, so they will have their ecosystem with AI from the edge to the cloud.
Apple is hardly behind but they are on a different path and actually are able to execute on hardware and software Apple doesn't need Google the Tensor is 5 or 6 years behind Apple right now and Google is a long way from running AI locally on their feeble Tensor SOC'S and Samsung is (hopelessly) even further away and Microsoft isn't even in the mobile ball game right now, note Wall Street is clueless about this little detail in their AI Hype train.
AI on the edge is the pathway Apple is on, phoning home and having the end user wait is the path Google, Microsoft, Meta, Qualcomm and Samsung are on. Why? Their SOC'S/OS software are way behind Apple.
What Apple does need to do/consider is leveraging the full benefit of Apple Silicon, the low power/wattage, speed, UMA memory combined with a OS optimized to the hardware just screams out, the M3 Studio Ultra with 256 gigs (coming at WWDC) or a Mac M3 Extreme (CarPlay wasn't all for nothing) Pro tower with 512 gigs just says welcome to the world of inference on the Mac. Apple is/has been working on software tools to support developers for long time.
Apple has been consistent in their AI/ML on the edge pathway. Apple won't be using Google anymore for AI than they currently use Google maps.
I think that Apple have no option but AI on the edge. They don't have the datacenters or infrastructure to run AI / LMM as MS, Google or Meta. And MS is going for AI on the edge too, with the new processors + NPU from Intel, AMD and Qualcomm. Looks like MS is the one with all bases covered, from edge to the cloud and AI services.
No Apple in house data centers yet? Servers are low hanging fruit if that list of companies Google, Microsoft, Meta, Qualcomm and Samsung are involved having a in house OS and Apple Silicon SOC'S are far more important to the future of Apple when it comes to creating new profitable ecosystems.
You forgot Amazon on that list getting rid of Intel was a higher priority to Apple and that modem problem with Qualcomm is still on the higher priority list, after all you can't get to that smaller Apple Vision glasses solution without kicking Qualcomm out.
Google, and Meta want user data that is their sole number one interest in cloud based solutions and Samsung is just along for the ride.
In house OS and ASi are important to Apple since they don't have a data center infrastructure in place for AI / LMM. That's the reason they are talking with Google for Gemini. That's different from MS, that is ready to announce AI PC's, so they will have their ecosystem with AI from the edge to the cloud.
Will the Windows OS work on day one and will the chip be anywhere within 5 years of Apple, and last but not least will any Windows developers do anything with it. The previous Arm/intel Surface was and is a complete flop Microsoft to this day can't get Windows trackpads to work properly.
Apple is hardly behind but they are on a different path and actually are able to execute on hardware and software Apple doesn't need Google the Tensor is 5 or 6 years behind Apple right now and Google is a long way from running AI locally on their feeble Tensor SOC'S and Samsung is (hopelessly) even further away and Microsoft isn't even in the mobile ball game right now, note Wall Street is clueless about this little detail in their AI Hype train.
AI on the edge is the pathway Apple is on, phoning home and having the end user wait is the path Google, Microsoft, Meta, Qualcomm and Samsung are on. Why? Their SOC'S/OS software are way behind Apple.
What Apple does need to do/consider is leveraging the full benefit of Apple Silicon, the low power/wattage, speed, UMA memory combined with a OS optimized to the hardware just screams out, the M3 Studio Ultra with 256 gigs (coming at WWDC) or a Mac M3 Extreme (CarPlay wasn't all for nothing) Pro tower with 512 gigs just says welcome to the world of inference on the Mac. Apple is/has been working on software tools to support developers for long time.
Apple has been consistent in their AI/ML on the edge pathway. Apple won't be using Google anymore for AI than they currently use Google maps.
I think that Apple have no option but AI on the edge. They don't have the datacenters or infrastructure to run AI / LMM as MS, Google or Meta. And MS is going for AI on the edge too, with the new processors + NPU from Intel, AMD and Qualcomm. Looks like MS is the one with all bases covered, from edge to the cloud and AI services.
No Apple in house data centers yet? Servers are low hanging fruit if that list of companies Google, Microsoft, Meta, Qualcomm and Samsung are involved having a in house OS and Apple Silicon SOC'S are far more important to the future of Apple when it comes to creating new profitable ecosystems.
You forgot Amazon on that list getting rid of Intel was a higher priority to Apple and that modem problem with Qualcomm is still on the higher priority list, after all you can't get to that smaller Apple Vision glasses solution without kicking Qualcomm out.
Google, and Meta want user data that is their sole number one interest in cloud based solutions and Samsung is just along for the ride.
In house OS and ASi are important to Apple since they don't have a data center infrastructure in place for AI / LMM. That's the reason they are talking with Google for Gemini. That's different from MS, that is ready to announce AI PC's, so they will have their ecosystem with AI from the edge to the cloud.
Will the Windows OS work on day one and will the chip be anywhere within 5 years of Apple, and last but not least will any Windows developers do anything with it. The previous Arm/intel Surface was and is a complete flop Microsoft to this day can't get Windows trackpads to work properly.
We'll have to wait until May to see what MS does with Windows and AI in the MS Build event, and how developers support its features. I don't see why developers will not take advantage of AI / NPU in Windows, as they do in macOS. Considering Qualcomm have a group of people that worked in the Apple Silicon design group, I can expect the will have a competitive SoC in the next 5 years. And I'm sure AMD and Intel will be pushing for improving their technology too.
And while I agree that the Surface with ARM was a failure, you have to consider, they are not the only Windows device in the market. Dell, HP and Lenovo sell a lot more Windows devices than MS itself, and they already announce AI PCs with processors + NPU from AMD and Intel. Later in the year, we'll see devices with Qualcomm processors.
Regarding your comment on Surface trackpads, have you use them? They aren't as bad as you think, even though I would agree Apple does better trackpads. But since the article is about AI, what do you think of Siri? Apple have it for 14 years, and still terrible. And now they need help from Google to improve their AI / LMM business. Looks like all companies have something to improve, don't you think?
Apple is hardly behind but they are on a different path and actually are able to execute on hardware and software Apple doesn't need Google the Tensor is 5 or 6 years behind Apple right now and Google is a long way from running AI locally on their feeble Tensor SOC'S and Samsung is (hopelessly) even further away and Microsoft isn't even in the mobile ball game right now, note Wall Street is clueless about this little detail in their AI Hype train.
AI on the edge is the pathway Apple is on, phoning home and having the end user wait is the path Google, Microsoft, Meta, Qualcomm and Samsung are on. Why? Their SOC'S/OS software are way behind Apple.
What Apple does need to do/consider is leveraging the full benefit of Apple Silicon, the low power/wattage, speed, UMA memory combined with a OS optimized to the hardware just screams out, the M3 Studio Ultra with 256 gigs (coming at WWDC) or a Mac M3 Extreme (CarPlay wasn't all for nothing) Pro tower with 512 gigs just says welcome to the world of inference on the Mac. Apple is/has been working on software tools to support developers for long time.
Apple has been consistent in their AI/ML on the edge pathway. Apple won't be using Google anymore for AI than they currently use Google maps.
I think that Apple have no option but AI on the edge. They don't have the datacenters or infrastructure to run AI / LMM as MS, Google or Meta. And MS is going for AI on the edge too, with the new processors + NPU from Intel, AMD and Qualcomm. Looks like MS is the one with all bases covered, from edge to the cloud and AI services.
No Apple in house data centers yet? Servers are low hanging fruit if that list of companies Google, Microsoft, Meta, Qualcomm and Samsung are involved having a in house OS and Apple Silicon SOC'S are far more important to the future of Apple when it comes to creating new profitable ecosystems.
You forgot Amazon on that list getting rid of Intel was a higher priority to Apple and that modem problem with Qualcomm is still on the higher priority list, after all you can't get to that smaller Apple Vision glasses solution without kicking Qualcomm out.
Google, and Meta want user data that is their sole number one interest in cloud based solutions and Samsung is just along for the ride.
In house OS and ASi are important to Apple since they don't have a data center infrastructure in place for AI / LMM. That's the reason they are talking with Google for Gemini. That's different from MS, that is ready to announce AI PC's, so they will have their ecosystem with AI from the edge to the cloud.
Will the Windows OS work on day one and will the chip be anywhere within 5 years of Apple, and last but not least will any Windows developers do anything with it. The previous Arm/intel Surface was and is a complete flop Microsoft to this day can't get Windows trackpads to work properly.
We'll have to wait until May to see what MS does with Windows and AI in the MS Build event, and how developers support its features. I don't see why developers will not take advantage of AI / NPU in Windows, as they do in macOS. Considering Qualcomm have a group of people that worked in the Apple Silicon design group, I can expect the will have a competitive SoC in the next 5 years. And I'm sure AMD and Intel will be pushing for improving their technology too.
And while I agree that the Surface with ARM was a failure, you have to consider, they are not the only Windows device in the market. Dell, HP and Lenovo sell a lot more Windows devices than MS itself, and they already announce AI PCs with processors + NPU from AMD and Intel. Later in the year, we'll see devices with Qualcomm processors.
Regarding your comment on Surface trackpads, have you use them? They aren't as bad as you think, even though I would agree Apple does better trackpads. But since the article is about AI, what do you think of Siri? Apple have it for 14 years, and still terrible. And now they need help from Google to improve their AI / LMM business. Looks like all companies have something to improve, don't you think?
Google is the one paying Apple billions for a default position so I don't think Apple needs them for anything, and Apple as a vertical computer company definitely doesn't need Microsoft for anything either Apple very wisely passed on buying that fiasco search engine Microsoft was trying to offload a few years ago. Life on the edge (practical real world solutions) is the better pathway for Apple. The Apple Silicon M series, LiDAR and R1 chip lead the way.
After the nebulous hallucinating hot air software on AI dies down Microsoft and Google will be standing around with nothing concrete to show for it like Crypto and Bitcoin which was the last hype of nothing.
Apple is hardly behind but they are on a different path and actually are able to execute on hardware and software Apple doesn't need Google the Tensor is 5 or 6 years behind Apple right now and Google is a long way from running AI locally on their feeble Tensor SOC'S and Samsung is (hopelessly) even further away and Microsoft isn't even in the mobile ball game right now, note Wall Street is clueless about this little detail in their AI Hype train.
AI on the edge is the pathway Apple is on, phoning home and having the end user wait is the path Google, Microsoft, Meta, Qualcomm and Samsung are on. Why? Their SOC'S/OS software are way behind Apple.
What Apple does need to do/consider is leveraging the full benefit of Apple Silicon, the low power/wattage, speed, UMA memory combined with a OS optimized to the hardware just screams out, the M3 Studio Ultra with 256 gigs (coming at WWDC) or a Mac M3 Extreme (CarPlay wasn't all for nothing) Pro tower with 512 gigs just says welcome to the world of inference on the Mac. Apple is/has been working on software tools to support developers for long time.
Apple has been consistent in their AI/ML on the edge pathway. Apple won't be using Google anymore for AI than they currently use Google maps.
I think that Apple have no option but AI on the edge. They don't have the datacenters or infrastructure to run AI / LMM as MS, Google or Meta. And MS is going for AI on the edge too, with the new processors + NPU from Intel, AMD and Qualcomm. Looks like MS is the one with all bases covered, from edge to the cloud and AI services.
No Apple in house data centers yet? Servers are low hanging fruit if that list of companies Google, Microsoft, Meta, Qualcomm and Samsung are involved having a in house OS and Apple Silicon SOC'S are far more important to the future of Apple when it comes to creating new profitable ecosystems.
You forgot Amazon on that list getting rid of Intel was a higher priority to Apple and that modem problem with Qualcomm is still on the higher priority list, after all you can't get to that smaller Apple Vision glasses solution without kicking Qualcomm out.
Google, and Meta want user data that is their sole number one interest in cloud based solutions and Samsung is just along for the ride.
In house OS and ASi are important to Apple since they don't have a data center infrastructure in place for AI / LMM. That's the reason they are talking with Google for Gemini. That's different from MS, that is ready to announce AI PC's, so they will have their ecosystem with AI from the edge to the cloud.
Will the Windows OS work on day one and will the chip be anywhere within 5 years of Apple, and last but not least will any Windows developers do anything with it. The previous Arm/intel Surface was and is a complete flop Microsoft to this day can't get Windows trackpads to work properly.
We'll have to wait until May to see what MS does with Windows and AI in the MS Build event, and how developers support its features. I don't see why developers will not take advantage of AI / NPU in Windows, as they do in macOS. Considering Qualcomm have a group of people that worked in the Apple Silicon design group, I can expect the will have a competitive SoC in the next 5 years. And I'm sure AMD and Intel will be pushing for improving their technology too.
And while I agree that the Surface with ARM was a failure, you have to consider, they are not the only Windows device in the market. Dell, HP and Lenovo sell a lot more Windows devices than MS itself, and they already announce AI PCs with processors + NPU from AMD and Intel. Later in the year, we'll see devices with Qualcomm processors.
Regarding your comment on Surface trackpads, have you use them? They aren't as bad as you think, even though I would agree Apple does better trackpads. But since the article is about AI, what do you think of Siri? Apple have it for 14 years, and still terrible. And now they need help from Google to improve their AI / LMM business. Looks like all companies have something to improve, don't you think?
Google is the one paying Apple billions for a default position so I don't think Apple needs them for anything, and Apple as a vertical computer company definitely doesn't need Microsoft for anything either Apple very wisely passed on buying that fiasco search engine Microsoft was trying to offload a few years ago. Life on the edge (practical real world solutions) is the better pathway for Apple. The Apple Silicon M series, LiDAR and R1 chip lead the way.
After the nebulous hallucinating hot air software on AI dies down Microsoft and Google will be standing around with nothing concrete to show for it like Crypto and Bitcoin which was the last hype of nothing.
'Hallucination' is part of certain AI processes. Do you think that if Apple tries to create similar solutions it won't suffer from the same issues?
While new techniques are being used or researched to reduce hallucination it's part of the current parcel and, as the industry has shown, even with hallucination, it's better to have a parcel than not have one.
Why do you think Apple is likely going to make AI such a focus point at WWDC?
AI is more than 'edge'. And there are even different meanings for 'edge'.
Tasks will be realised where they can be done with optimum results, all things considered. Sometimes it will be on a phone, sometimes an earbud, sometimes at the ICT Edge and sometimes in the cloud. It all depends on different factors.
In the future (and probably not too distant future) devices will pool their processing abilities to increase various factors such as processing speed, latency etc.
Verticality is just a model. Nothing more. Qualcomm took the decision to not make phones. It makes technology solutions. Apple is currently very dependent on Qualcomm technology and IP because it doesn't have its own equivalents.
One model isn't inherently better than the other and Apple isn't as vertical as you think.
If it planned a car it wouldn't have been anywhere near as 'Apple' manufactured as 'vertical' seems to imply. Starting with the battery. Arguably the single most important part of an electric car. That would maybe be an LG, CATL or BYD product and, as both CATL and BYD are heavily involved in the car industry, it is unlikely Apple would have been able to do a better job.
Apple is hardly behind but they are on a different path and actually are able to execute on hardware and software Apple doesn't need Google the Tensor is 5 or 6 years behind Apple right now and Google is a long way from running AI locally on their feeble Tensor SOC'S and Samsung is (hopelessly) even further away and Microsoft isn't even in the mobile ball game right now, note Wall Street is clueless about this little detail in their AI Hype train.
AI on the edge is the pathway Apple is on, phoning home and having the end user wait is the path Google, Microsoft, Meta, Qualcomm and Samsung are on. Why? Their SOC'S/OS software are way behind Apple.
What Apple does need to do/consider is leveraging the full benefit of Apple Silicon, the low power/wattage, speed, UMA memory combined with a OS optimized to the hardware just screams out, the M3 Studio Ultra with 256 gigs (coming at WWDC) or a Mac M3 Extreme (CarPlay wasn't all for nothing) Pro tower with 512 gigs just says welcome to the world of inference on the Mac. Apple is/has been working on software tools to support developers for long time.
Apple has been consistent in their AI/ML on the edge pathway. Apple won't be using Google anymore for AI than they currently use Google maps.
I think that Apple have no option but AI on the edge. They don't have the datacenters or infrastructure to run AI / LMM as MS, Google or Meta. And MS is going for AI on the edge too, with the new processors + NPU from Intel, AMD and Qualcomm. Looks like MS is the one with all bases covered, from edge to the cloud and AI services.
...M series has been ready for AI from launch. And they’re only adding more neural engines. It could be that we can on-device AI processing while the beggars get cloud crap. That would be something.
Just so long as it’s not connected to that Gemini trash.
From what I have seen, Apple has been focused with AI in the edge, not in the cloud. And while they have data centers, are they ready for AI / LMM? If that's the case, why they are working with Google for Gemini?
I think that Apple have no option but AI on the edge. They don't have the datacenters or infrastructure to run AI / LMM as MS, Google or Meta. And MS is going for AI on the edge too, with the new processors + NPU from Intel, AMD and Qualcomm. Looks like MS is the one with all bases covered, from edge to the cloud and AI services. .
Google, and Meta want user data that is their sole number one interest in cloud based solutions and Samsung is just along for the ride.
Because just like Gemini runs ON-DEVICE on my Pixel 8 Pro, it can run ON-DEVICE on the upcoming iPhone 16. Neither one would require the cloud to operate.
But gosh @danox , that doesn't jibe with your claim that Google only wants it to be a cloud solution for the user data.
Apple is hardly behind but they are on a different path and actually are able to execute on hardware and software Apple doesn't need Google the Tensor is 5 or 6 years behind Apple right now and Google is a long way from running AI locally on their feeble Tensor SOC'S and Samsung is (hopelessly) even further away and Microsoft isn't even in the mobile ball game right now, note Wall Street is clueless about this little detail in their AI Hype train.
AI on the edge is the pathway Apple is on, phoning home and having the end user wait is the path Google, Microsoft, Meta, Qualcomm and Samsung are on. Why? Their SOC'S/OS software are way behind Apple.
What Apple does need to do/consider is leveraging the full benefit of Apple Silicon, the low power/wattage, speed, UMA memory combined with a OS optimized to the hardware just screams out, the M3 Studio Ultra with 256 gigs (coming at WWDC) or a Mac M3 Extreme (CarPlay wasn't all for nothing) Pro tower with 512 gigs just says welcome to the world of inference on the Mac. Apple is/has been working on software tools to support developers for long time.
Apple has been consistent in their AI/ML on the edge pathway. Apple won't be using Google anymore for AI than they currently use Google maps.
I think that Apple have no option but AI on the edge. They don't have the datacenters or infrastructure to run AI / LMM as MS, Google or Meta. And MS is going for AI on the edge too, with the new processors + NPU from Intel, AMD and Qualcomm. Looks like MS is the one with all bases covered, from edge to the cloud and AI services.
No Apple in house data centers yet? Servers are low hanging fruit if that list of companies Google, Microsoft, Meta, Qualcomm and Samsung are involved having a in house OS and Apple Silicon SOC'S are far more important to the future of Apple when it comes to creating new profitable ecosystems.
You forgot Amazon on that list getting rid of Intel was a higher priority to Apple and that modem problem with Qualcomm is still on the higher priority list, after all you can't get to that smaller Apple Vision glasses solution without kicking Qualcomm out.
Google, and Meta want user data that is their sole number one interest in cloud based solutions and Samsung is just along for the ride.
In house OS and ASi are important to Apple since they don't have a data center infrastructure in place for AI / LMM. That's the reason they are talking with Google for Gemini. That's different from MS, that is ready to announce AI PC's, so they will have their ecosystem with AI from the edge to the cloud.
Will the Windows OS work on day one and will the chip be anywhere within 5 years of Apple, and last but not least will any Windows developers do anything with it. The previous Arm/intel Surface was and is a complete flop Microsoft to this day can't get Windows trackpads to work properly.
We'll have to wait until May to see what MS does with Windows and AI in the MS Build event, and how developers support its features. I don't see why developers will not take advantage of AI / NPU in Windows, as they do in macOS. Considering Qualcomm have a group of people that worked in the Apple Silicon design group, I can expect the will have a competitive SoC in the next 5 years. And I'm sure AMD and Intel will be pushing for improving their technology too.
And while I agree that the Surface with ARM was a failure, you have to consider, they are not the only Windows device in the market. Dell, HP and Lenovo sell a lot more Windows devices than MS itself, and they already announce AI PCs with processors + NPU from AMD and Intel. Later in the year, we'll see devices with Qualcomm processors.
Regarding your comment on Surface trackpads, have you use them? They aren't as bad as you think, even though I would agree Apple does better trackpads. But since the article is about AI, what do you think of Siri? Apple have it for 14 years, and still terrible. And now they need help from Google to improve their AI / LMM business. Looks like all companies have something to improve, don't you think?
Google is the one paying Apple billions for a default position so I don't think Apple needs them for anything, and Apple as a ve\rtical computer company definitely doesn't need Microsoft for anything either Apple very wisely passed on buying that fiasco search engine Microsoft was trying to offload a few years ago. Life on the edge (practical real world solutions) is the better pathway for Apple. The Apple Silicon M series, LiDAR and R1 chip lead the way.
After the nebulous hallucinating hot air software on AI dies down Microsoft and Google will be standing around with nothing concrete to show for it like Crypto and Bitcoin which was the last hype of nothing.
Google pays Apple billions for search, not AI / LMM. From what I know, there are no details on how Apple and Google will work the business relation around Gemini. We'll have to wait and see.
And I could agree that Apple was right on passing MS Bing, but I think Apple needs a lot from MS, especially in the business / enterprise market.
And again, AI in the edge is better for Apple because they don't have the infrastructure companies like MS, Google, Meta and Amazon have to run AI / LMM. This link has a list of the top customer of Nvidia H100 GPU,
If you noticed, Apple is not listed. And I haven't read that Apple is building datacenters around M-processors. Maybe they are working in expanding their datacenters and haven't announced it. But based in the article, looks like they had no option but go with a major AI / LMM service like Google Gemini, the same way they depend for cloud services with GCP.
That's different from MS, Google, Amazon or Meta, that do not depend on other cloud providers for their AI / LMM services.
It's true that AI could die in the future, or it cloud be the future, who knows. Same as the Apple Vision Pro, it could die in the future, or it could be the future. We'll have to wait and see what happens.
Apple is hardly behind but they are on a different path and actually are able to execute on hardware and software Apple doesn't need Google the Tensor is 5 or 6 years behind Apple right now and Google is a long way from running AI locally on their feeble Tensor SOC'S and Samsung is (hopelessly) even further away and Microsoft isn't even in the mobile ball game right now, note Wall Street is clueless about this little detail in their AI Hype train.
AI on the edge is the pathway Apple is on, phoning home and having the end user wait is the path Google, Microsoft, Meta, Qualcomm and Samsung are on. Why? Their SOC'S/OS software are way behind Apple.
What Apple does need to do/consider is leveraging the full benefit of Apple Silicon, the low power/wattage, speed, UMA memory combined with a OS optimized to the hardware just screams out, the M3 Studio Ultra with 256 gigs (coming at WWDC) or a Mac M3 Extreme (CarPlay wasn't all for nothing) Pro tower with 512 gigs just says welcome to the world of inference on the Mac. Apple is/has been working on software tools to support developers for long time.
Apple has been consistent in their AI/ML on the edge pathway. Apple won't be using Google anymore for AI than they currently use Google maps.
I think that Apple have no option but AI on the edge. They don't have the datacenters or infrastructure to run AI / LMM as MS, Google or Meta. And MS is going for AI on the edge too, with the new processors + NPU from Intel, AMD and Qualcomm. Looks like MS is the one with all bases covered, from edge to the cloud and AI services.
...M series has been ready for AI from launch. And they’re only adding more neural engines. It could be that we can on-device AI processing while the beggars get cloud crap. That would be something.
Just so long as it’s not connected to that Gemini trash.
From what I have seen, Apple has been focused with AI in the edge, not in the cloud. And while they have data centers, are they ready for AI / LMM? If that's the case, why they are working with Google for Gemini?
I think that Apple have no option but AI on the edge. They don't have the datacenters or infrastructure to run AI / LMM as MS, Google or Meta. And MS is going for AI on the edge too, with the new processors + NPU from Intel, AMD and Qualcomm. Looks like MS is the one with all bases covered, from edge to the cloud and AI services. .
Google, and Meta want user data that is their sole number one interest in cloud based solutions and Samsung is just along for the ride.
Because just like Gemini runs ON-DEVICE on my Pixel 8 Pro, it can run ON-DEVICE on the upcoming iPhone 16. Neither one would require the cloud to operate.
But gosh @danox , that doesn't jibe with your claim that Google only wants it to be a cloud solution for the user data.
Gemini hallucinating on the iPhone and waiting 3-5 hours for a result phoning home from the Google cloud doubtful Apple will take that on.
The Google Tensor is the weakest SOC on the market by a mile imagine if Apple said wait 3-5 hours and be close to a cell phone tower for the functionally provided by Video Boost and Night Sight the only reason they exist is because the Tensor can't do the processing on the phone and it is also ironic because modem on the Google Pixel is the weakest on the market.
https://www.androidauthority.com/google-tensor-3060818/ Smartphone Soc weakness the current Tensor doesn't even equal a 11 Pro iPhone (phoning home is only thing Google can do today to make up for being so far behind, that is probably also the reason Google decided not to do implement LiDAR on the Pixel phone?
Apple is hardly behind but they are on a different path and actually are able to execute on hardware and software Apple doesn't need Google the Tensor is 5 or 6 years behind Apple right now and Google is a long way from running AI locally on their feeble Tensor SOC'S and Samsung is (hopelessly) even further away and Microsoft isn't even in the mobile ball game right now, note Wall Street is clueless about this little detail in their AI Hype train.
AI on the edge is the pathway Apple is on, phoning home and having the end user wait is the path Google, Microsoft, Meta, Qualcomm and Samsung are on. Why? Their SOC'S/OS software are way behind Apple.
What Apple does need to do/consider is leveraging the full benefit of Apple Silicon, the low power/wattage, speed, UMA memory combined with a OS optimized to the hardware just screams out, the M3 Studio Ultra with 256 gigs (coming at WWDC) or a Mac M3 Extreme (CarPlay wasn't all for nothing) Pro tower with 512 gigs just says welcome to the world of inference on the Mac. Apple is/has been working on software tools to support developers for long time.
Apple has been consistent in their AI/ML on the edge pathway. Apple won't be using Google anymore for AI than they currently use Google maps.
I think that Apple have no option but AI on the edge. They don't have the datacenters or infrastructure to run AI / LMM as MS, Google or Meta. And MS is going for AI on the edge too, with the new processors + NPU from Intel, AMD and Qualcomm. Looks like MS is the one with all bases covered, from edge to the cloud and AI services.
...M series has been ready for AI from launch. And they’re only adding more neural engines. It could be that we can on-device AI processing while the beggars get cloud crap. That would be something.
Just so long as it’s not connected to that Gemini trash.
From what I have seen, Apple has been focused with AI in the edge, not in the cloud. And while they have data centers, are they ready for AI / LMM? If that's the case, why they are working with Google for Gemini?
I think that Apple have no option but AI on the edge. They don't have the datacenters or infrastructure to run AI / LMM as MS, Google or Meta. And MS is going for AI on the edge too, with the new processors + NPU from Intel, AMD and Qualcomm. Looks like MS is the one with all bases covered, from edge to the cloud and AI services. .
Google, and Meta want user data that is their sole number one interest in cloud based solutions and Samsung is just along for the ride.
Because just like Gemini runs ON-DEVICE on my Pixel 8 Pro, it can run ON-DEVICE on the upcoming iPhone 16. Neither one would require the cloud to operate.
But gosh @danox , that doesn't jibe with your claim that Google only wants it to be a cloud solution for the user data.
Gemini hallucinating on the iPhone and waiting 3-5 hours for a result phoning home from the Google cloud doubtful Apple will take that on.
The Google Tensor is the weakest SOC on the market by a mile imagine if Apple said wait 3-5 hours and be close to a cell phone tower for the functionally provided by Video Boost and Night Sight the only reason they exist is because the Tensor can't do the processing on the phone and it is also ironic because modem on the Google Pixel is the weakest on the market.
https://www.androidauthority.com/google-tensor-3060818/ Smartphone Soc weakness the current Tensor doesn't even equal a 11 Pro iPhone (phoning home is only thing Google can do today to make up for being so far behind, that is probably also the reason Google decided not to do implement LiDAR on the Pixel phone?
Did you miss the part about Gemini NOT phoning home, or just choose to ignore it. It runs privately and securely ON-DEVICE on the Pixel 8 Pro, just as it can run ON-DEVICE privately and securely on your next iPhone if Apple opts for a license? You can be an odd ill-informed cat when your drive to win is greater than your interest in understanding.
If Apple takes a license, it will be precisely because Google's Gemini Nano will run on the device and not in the cloud, just as it does on a Pixel.
Apple is hardly behind but they are on a different path and actually are able to execute on hardware and software Apple doesn't need Google the Tensor is 5 or 6 years behind Apple right now and Google is a long way from running AI locally on their feeble Tensor SOC'S and Samsung is (hopelessly) even further away and Microsoft isn't even in the mobile ball game right now, note Wall Street is clueless about this little detail in their AI Hype train.
AI on the edge is the pathway Apple is on, phoning home and having the end user wait is the path Google, Microsoft, Meta, Qualcomm and Samsung are on. Why? Their SOC'S/OS software are way behind Apple.
What Apple does need to do/consider is leveraging the full benefit of Apple Silicon, the low power/wattage, speed, UMA memory combined with a OS optimized to the hardware just screams out, the M3 Studio Ultra with 256 gigs (coming at WWDC) or a Mac M3 Extreme (CarPlay wasn't all for nothing) Pro tower with 512 gigs just says welcome to the world of inference on the Mac. Apple is/has been working on software tools to support developers for long time.
Apple has been consistent in their AI/ML on the edge pathway. Apple won't be using Google anymore for AI than they currently use Google maps.
I think that Apple have no option but AI on the edge. They don't have the datacenters or infrastructure to run AI / LMM as MS, Google or Meta. And MS is going for AI on the edge too, with the new processors + NPU from Intel, AMD and Qualcomm. Looks like MS is the one with all bases covered, from edge to the cloud and AI services.
...M series has been ready for AI from launch. And they’re only adding more neural engines. It could be that we can on-device AI processing while the beggars get cloud crap. That would be something.
Just so long as it’s not connected to that Gemini trash.
From what I have seen, Apple has been focused with AI in the edge, not in the cloud. And while they have data centers, are they ready for AI / LMM? If that's the case, why they are working with Google for Gemini?
I think that Apple have no option but AI on the edge. They don't have the datacenters or infrastructure to run AI / LMM as MS, Google or Meta. And MS is going for AI on the edge too, with the new processors + NPU from Intel, AMD and Qualcomm. Looks like MS is the one with all bases covered, from edge to the cloud and AI services. .
Google, and Meta want user data that is their sole number one interest in cloud based solutions and Samsung is just along for the ride.
Because just like Gemini runs ON-DEVICE on my Pixel 8 Pro, it can run ON-DEVICE on the upcoming iPhone 16. Neither one would require the cloud to operate.
But gosh @danox , that doesn't jibe with your claim that Google only wants it to be a cloud solution for the user data.
Gemini hallucinating on the iPhone and waiting 3-5 hours for a result phoning home from the Google cloud doubtful Apple will take that on.
The Google Tensor is the weakest SOC on the market by a mile imagine if Apple said wait 3-5 hours and be close to a cell phone tower for the functionally provided by Video Boost and Night Sight the only reason they exist is because the Tensor can't do the processing on the phone and it is also ironic because modem on the Google Pixel is the weakest on the market.
https://www.androidauthority.com/google-tensor-3060818/ Smartphone Soc weakness the current Tensor doesn't even equal a 11 Pro iPhone (phoning home is only thing Google can do today to make up for being so far behind, that is probably also the reason Google decided not to do implement LiDAR on the Pixel phone?
Did you miss the part about Gemini NOT phoning home, or just choose to ignore it. It runs privately and securely ON-DEVICE on the Pixel 8 Pro, just as it can run ON-DEVICE privately and securely on your next iPhone if Apple opts for a license? You can be an odd ill-informed cat when your drive to win is greater than your interest in understanding.
If Apple takes a license, it will be precisely because Google's Gemini Nano will run on the device and not in the cloud, just as it does on a Pixel.
In light of the DOJ I don't think so....I think sweetheart deal between Apple and Google is going away (never like it) and there won't be any new one.
Apple is hardly behind but they are on a different path and actually are able to execute on hardware and software Apple doesn't need Google the Tensor is 5 or 6 years behind Apple right now and Google is a long way from running AI locally on their feeble Tensor SOC'S and Samsung is (hopelessly) even further away and Microsoft isn't even in the mobile ball game right now, note Wall Street is clueless about this little detail in their AI Hype train.
AI on the edge is the pathway Apple is on, phoning home and having the end user wait is the path Google, Microsoft, Meta, Qualcomm and Samsung are on. Why? Their SOC'S/OS software are way behind Apple.
What Apple does need to do/consider is leveraging the full benefit of Apple Silicon, the low power/wattage, speed, UMA memory combined with a OS optimized to the hardware just screams out, the M3 Studio Ultra with 256 gigs (coming at WWDC) or a Mac M3 Extreme (CarPlay wasn't all for nothing) Pro tower with 512 gigs just says welcome to the world of inference on the Mac. Apple is/has been working on software tools to support developers for long time.
Apple has been consistent in their AI/ML on the edge pathway. Apple won't be using Google anymore for AI than they currently use Google maps.
I think that Apple have no option but AI on the edge. They don't have the datacenters or infrastructure to run AI / LMM as MS, Google or Meta. And MS is going for AI on the edge too, with the new processors + NPU from Intel, AMD and Qualcomm. Looks like MS is the one with all bases covered, from edge to the cloud and AI services.
...M series has been ready for AI from launch. And they’re only adding more neural engines. It could be that we can on-device AI processing while the beggars get cloud crap. That would be something.
Just so long as it’s not connected to that Gemini trash.
From what I have seen, Apple has been focused with AI in the edge, not in the cloud. And while they have data centers, are they ready for AI / LMM? If that's the case, why they are working with Google for Gemini?
I think that Apple have no option but AI on the edge. They don't have the datacenters or infrastructure to run AI / LMM as MS, Google or Meta. And MS is going for AI on the edge too, with the new processors + NPU from Intel, AMD and Qualcomm. Looks like MS is the one with all bases covered, from edge to the cloud and AI services. .
Google, and Meta want user data that is their sole number one interest in cloud based solutions and Samsung is just along for the ride.
Because just like Gemini runs ON-DEVICE on my Pixel 8 Pro, it can run ON-DEVICE on the upcoming iPhone 16. Neither one would require the cloud to operate.
But gosh @danox , that doesn't jibe with your claim that Google only wants it to be a cloud solution for the user data.
The articles I have read always talk about Gemini, with no specific mention of the version Apple is looking to use, Ultra, Pro or Nano. We'll have to wait what Apple does. Maybe they announce more details in this year WWDC.
Comments
The current Samsung/Google smartphones have 8-12 gigs of memory a bigger battery and most are using 8 cores to (Apple at 6-8 gigs of memory, 6 cores, smaller battery with lower wattage usage) on their SOC'S with LiDAR and yet Androids still phone home for major functionally? how's that working for them in comparison Apples latest iPhones not very well.
https://browser.geekbench.com/mobile-benchmarks (Multi Platform) Apple has more powerful and more effective SOC's with better more efficient software design, the Apple Silicon/OS design advantage carries over to laptops/iPads/Mac Studios/Apple Vision. AI/ML/Neural engine on the edge with LiDAR as a bonus since 2020.
No Apple in house data centers yet? Servers are low hanging fruit if that list of companies Google, Microsoft, Meta, Qualcomm and Samsung are involved having a in house OS and Apple Silicon SOC'S are far more important to the future of Apple when it comes to creating new profitable ecosystems.
You forgot Amazon on that list getting rid of Intel was a higher priority to Apple and that modem problem with Qualcomm is still on the higher priority list, after all you can't get to that smaller Apple Vision glasses solution without kicking Qualcomm out.
Google, and Meta want user data that is their sole number one interest in cloud based solutions and Samsung is just along for the ride.
MS is also going forward with AI PC's. Looks like this year we'll see PC's with CPU + NPU from AMD, Intel and Qualcomm for on-device AI processing. And they are one of the largest, if not the largest, customers of Nvidia AI GPU's, and also have their own AI processor.
The GPU haves and have-nots. - The Verge
Microsoft is finally making custom chips — and they’re all about AI - The Verge
Looks like MS is covering all bases with their AI strategy and looks like it's working.
https://www.cnbc.com/2024/03/08/google-fires-employee-who-protested-israel-tech-event-shuts-forum.html
New Era of Work | Home (microsoft.com)
Microsoft to hold a special Windows and Surface AI event in May - The Verge
Will the Windows OS work on day one and will the chip be anywhere within 5 years of Apple, and last but not least will any Windows developers do anything with it. The previous Arm/intel Surface was and is a complete flop Microsoft to this day can't get Windows trackpads to work properly.
Considering Qualcomm have a group of people that worked in the Apple Silicon design group, I can expect the will have a competitive SoC in the next 5 years. And I'm sure AMD and Intel will be pushing for improving their technology too.
And while I agree that the Surface with ARM was a failure, you have to consider, they are not the only Windows device in the market. Dell, HP and Lenovo sell a lot more Windows devices than MS itself, and they already announce AI PCs with processors + NPU from AMD and Intel. Later in the year, we'll see devices with Qualcomm processors.
https://www.dell.com/en-us/blog/dell-technologies-announces-new-latitude-ai-pcs/
https://news.lenovo.com/pressroom/press-releases/ai-pc-thinkbook-laptops-thinkcentre-neo-desktops-productive-creative-power/
https://press.hp.com/us/en/press-releases/2024/hp-unveils-largest-portfolio-ai-pc.html
Regarding your comment on Surface trackpads, have you use them? They aren't as bad as you think, even though I would agree Apple does better trackpads. But since the article is about AI, what do you think of Siri? Apple have it for 14 years, and still terrible. And now they need help from Google to improve their AI / LMM business. Looks like all companies have something to improve, don't you think?
Google is the one paying Apple billions for a default position so I don't think Apple needs them for anything, and Apple as a vertical computer company definitely doesn't need Microsoft for anything either Apple very wisely passed on buying that fiasco search engine Microsoft was trying to offload a few years ago. Life on the edge (practical real world solutions) is the better pathway for Apple. The Apple Silicon M series, LiDAR and R1 chip lead the way.
After the nebulous hallucinating hot air software on AI dies down Microsoft and Google will be standing around with nothing concrete to show for it like Crypto and Bitcoin which was the last hype of nothing.
While new techniques are being used or researched to reduce hallucination it's part of the current parcel and, as the industry has shown, even with hallucination, it's better to have a parcel than not have one.
Why do you think Apple is likely going to make AI such a focus point at WWDC?
AI is more than 'edge'. And there are even different meanings for 'edge'.
Tasks will be realised where they can be done with optimum results, all things considered. Sometimes it will be on a phone, sometimes an earbud, sometimes at the ICT Edge and sometimes in the cloud. It all depends on different factors.
In the future (and probably not too distant future) devices will pool their processing abilities to increase various factors such as processing speed, latency etc.
Verticality is just a model. Nothing more. Qualcomm took the decision to not make phones. It makes technology solutions. Apple is currently very dependent on Qualcomm technology and IP because it doesn't have its own equivalents.
One model isn't inherently better than the other and Apple isn't as vertical as you think.
If it planned a car it wouldn't have been anywhere near as 'Apple' manufactured as 'vertical' seems to imply. Starting with the battery. Arguably the single most important part of an electric car. That would maybe be an LG, CATL or BYD product and, as both CATL and BYD are heavily involved in the car industry, it is unlikely Apple would have been able to do a better job.
But gosh @danox , that doesn't jibe with your claim that Google only wants it to be a cloud solution for the user data.
And I could agree that Apple was right on passing MS Bing, but I think Apple needs a lot from MS, especially in the business / enterprise market.
And again, AI in the edge is better for Apple because they don't have the infrastructure companies like MS, Google, Meta and Amazon have to run AI / LMM. This link has a list of the top customer of Nvidia H100 GPU,
The GPU haves and have-nots. - The Verge
If you noticed, Apple is not listed. And I haven't read that Apple is building datacenters around M-processors. Maybe they are working in expanding their datacenters and haven't announced it. But based in the article, looks like they had no option but go with a major AI / LMM service like Google Gemini, the same way they depend for cloud services with GCP.
Apple is now Google's largest corporate customer for cloud storage | AppleInsider
That's different from MS, Google, Amazon or Meta, that do not depend on other cloud providers for their AI / LMM services.
It's true that AI could die in the future, or it cloud be the future, who knows. Same as the Apple Vision Pro, it could die in the future, or it could be the future. We'll have to wait and see what happens.
Gemini hallucinating on the iPhone and waiting 3-5 hours for a result phoning home from the Google cloud doubtful Apple will take that on.
The Google Tensor is the weakest SOC on the market by a mile imagine if Apple said wait 3-5 hours and be close to a cell phone tower for the functionally provided by Video Boost and Night Sight the only reason they exist is because the Tensor can't do the processing on the phone and it is also ironic because modem on the Google Pixel is the weakest on the market.
https://www.androidauthority.com/google-tensor-3060818/ Smartphone Soc weakness the current Tensor doesn't even equal a 11 Pro iPhone (phoning home is only thing Google can do today to make up for being so far behind, that is probably also the reason Google decided not to do implement LiDAR on the Pixel phone?
https://www.androidauthority.com/snapdragon-8-gen-3-vs-tensor-g3-3382154/ Still behind by a lot and unfortunately the only choice might be to dump the Tensor.
https://www.androidpolice.com/video-boost-pixel-8-pro-review/ Phoning home for functionally five years behind the iPhone simply can't process on the phone wait 3- 5 hours for a result really?
Did you miss the part about Gemini NOT phoning home, or just choose to ignore it. It runs privately and securely ON-DEVICE on the Pixel 8 Pro, just as it can run ON-DEVICE privately and securely on your next iPhone if Apple opts for a license? You can be an odd ill-informed cat when your drive to win is greater than your interest in understanding.
If Apple takes a license, it will be precisely because Google's Gemini Nano will run on the device and not in the cloud, just as it does on a Pixel.
In light of the DOJ I don't think so....I think sweetheart deal between Apple and Google is going away (never like it) and there won't be any new one.
https://arstechnica.com/gadgets/2024/03/google-says-the-ai-focused-pixel-8-cant-run-its-latest-smartphone-ai-models/ And what is this?