This blog post explores 3 unexpected reasons why Apple excels in AI
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- Apple is primarily a hardware company, which explains its focus on hardware advancements rather than software or services like ChatGPT.
- There are two types of AI technologies: processing AI and generative AI.
- Apple excels in processing AI, with dedicated neural engine chips in iPhones and Macs for local machine learning algorithms.
- Apple’s software incorporates AI features like predictive text, voice recognition, and image analysis.
- Siri is an exception to Apple’s AI capabilities, as it relies on older technology and does not utilize machine learning to the same extent as other features.
- Apple lags behind in generative AI compared to competitors like Microsoft and Google.
- Apple is actively investing in AI research and development, with projects like Ferret and Hugs showcasing advancements in understanding image content and generating realistic avatars.
- Apple will release generative AI features when they believe they will provide value to their customers.
Contrary to popular belief, I believe that Apple is extremely well positioned in the AI race.
In this blog post, I will cover three reasons why, and the last one might even surprise you.
So let’s talk about Apple, which for many people is falling behind when it comes to AI, but I disagree with that, and I will explain why.
First Reason: Apple as a Hardware Company
Apple is first and foremost a hardware company.
If we look at Apple’s history, we can see that they have always leveraged hardware innovations to push their products forward.
For example, when they released the Macintosh, it was piggybacking on the invention of the microprocessor.
Another revolution from Apple was the iPhone, which leveraged good enough mobile broadband speeds and capacitive touch technology.
While people may think Apple is behind because they don’t see a software or service like ChatGPT, it’s important to recognize that Apple’s focus is primarily on hardware.
Thanks to that, iPhones and Macs have dedicated neural engine chips, which run machine learning algorithms directly on the device.
Since the release of the M1 chip in 2020, Macs have at least 16 neural engine cores, making them powerful platforms for running AI models and machine learning algorithms locally.
Second Reason: AI Processing Technologies
There are two types of AI technologies: those that process stuff and those that generate stuff.
Apple is actually ahead of everybody else in processing AI.
On the software side, Apple offers predictive text, voice recognition, fall and crash detection, and even atrial fibrillation detection from the Apple Watch.
The Photos app on Apple devices also utilizes machine learning for searching people, objects, houses, and animals.
Apple’s hardware and software integration position them ahead in AI processing technologies.
Third Reason: Continued AI Research and Innovation
While Apple may be behind in generative AI technologies, they are not standing still.
Apple is investing heavily in AI and machine learning research and is actively publishing papers and releasing open source software.
For example, FERRET is a multi-modal, large language model that can deeply understand the content of images and their relationships.
HUGS is a video generation AI model that can animate a 3D avatar based on a few seconds of video.
These ongoing research efforts demonstrate Apple’s commitment to enhancing AI capabilities, and we can expect them to release more generative AI features when they feel it will bring value to their customers.
Apple hasn’t missed the AI train at all. They have positioned themselves well in AI processing technologies and continue to invest in research and innovation.
While they may be behind in generative AI, Apple’s focus on hardware and software integration sets them apart.
It is only a matter of time before Apple releases generative AI capabilities that seamlessly work across all their devices.
Apple’s dedication to AI makes them a formidable player in the AI race.
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In the next blog post, we will kick off Season 4, which will focus on improving the efficiency of your solopreneur business processes. Stay tuned for more valuable content.
If you haven’t done it yet, visit macpreneur.com/AI to grab your own copy of the top 10 AI tools cheat sheet. This PDF will give you the edge you need to boost your solo business in this fast-paced world.
Until next time, I’m Damien Schreurs, wishing you a great day.