danvm

elijahg said:

loopless said:

It is NOT BS.  Unified memory is a huge advantage.

I have a 16GB 14" M1 MacBook Pro, and a  Dell 32GB Windows 11 Core I7 laptop. Both with SSD's.  I use them for software development.
The Windows 11 machine is bumping up against its memory limits (at which point the performance tanks)  earlier than I have problems with the MacBook when doing a similar set of tasks. For example, using QT Creator and Visual Code, then building large code bases and with lots of other apps open at the same time. 

And lets not talk about the various "blue screens" that still seem to plague Windows.
I looked at upgrading the Dell's memory  but it has CAMM memory that costs $1000 to upgrade - so don't be complaining about Apples prices!

Windows is hideously inefficient with RAM. Doesn't excuse Apple from still only supplying 8GB as standard though. If you need a VM for example,  that will eat all of the 8GB straight up. 

9secondkox2 said:

danvm said:

danox said:

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.

https://arstechnica.com/gadgets/2020/08/apple-explains-how-it-uses-machine-learning-across-ios-and-soon-macos/.  From 2020 before the current AI Hype

https://venturebeat.com/ai/apple-researchers-achieve-breakthroughs-in-multimodal-ai-as-company-ramps-up-investments/

https://daily.dev/blog/mm1-the-advanced-30b-parameters-multimodal-llm-from-apple

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. 

danox said:

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.

https://arstechnica.com/gadgets/2020/08/apple-explains-how-it-uses-machine-learning-across-ios-and-soon-macos/.  From 2020 before the current AI Hype

https://venturebeat.com/ai/apple-researchers-achieve-breakthroughs-in-multimodal-ai-as-company-ramps-up-investments/

https://daily.dev/blog/mm1-the-advanced-30b-parameters-multimodal-llm-from-apple

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.

Stabitha_Christie said:

danox said:

Stabitha_Christie said:

opplo said:

The problem with Apple and AI is that they will not take advantage of it the way they should. They are still in this 'Siri mindset' where it's a cute thing to ask a question and get an answer or have AI do some nifty little task on an iPhone.

Apple should really be taking inspiration from something like Devin, and training models to build apps end-to-end in Xcode with no coding knowledge, songs in Logic with no music production knowledge, films in Final Cut Pro X with no filmmaking knowledge.

They are squandering their true advantage (their legacy of powerful, feature-packed professional desktop software that could now be driven by AI if Apple were not so clueless).

Hey Apple: train your AI to use the mouse and cursor on macOS, and on how to use your operating system and entire suite of apps. Either that, or prepare to lose hundreds of billions in value as the tech world passes you by. WAKE UP

Is this satire? Please tell me it’s satire. 

Apple has been incorporating AI across their products for the better part of a decade. That you think AI is limited to Siri means you either haven’t been paying attention or don’t really know what AI is. 

You also don’t appear to use some of the apps you are talking about. Logic/Garageband introduce AI musicians awhile along. Final Cut Pro/iMove have AI features and iMovie  will make a move based on whatever clips you throw into it. You don’t need to know anything about editing. That kind of feature doesn’t make sense for FCP. FCP is for people that want/need more control over editing. iMovie is the tool for people that are new to it. 

Apple approach to AI will be/is subtle and very effective Microsoft, Google, Meta, Qualcomm and Samsung will be the equivalent to the hot air of the Intel inside ad campaign......

Pretty much. Everything introduces so far is a feature and they tend to work well. Face ID, photo content detection, photo subject detection, afib detection, workout detection, live voicemail transcription …. The list goes on and on. But there is no ChatGPT clone so all is lost. Can anyone really explain why Apple needs a ChatGPT clone? Not really, but they just know Apple really needs to have one. 

AppleInsider said:

RAM stays at 8GB and storage starts at 512GB on entry-level M3 configurations.