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Quick skills you can build in Apple devices, apps & browsers


Tip #14 - 07/05/24


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Ah, the magical world of Apple’s “AI For The Rest Of Us.” Seriously though, I’ve been dreading the inevitable march towards the creation and implementation of Artificial Intelligence since the first

time I watched the movie “TERMINATOR”.


The practical application of today’s AI comes from years of preparation and construction of

mighty architects which include tech giants and research wizards, from Microsoft, Google and

Facebook to the ‘King of LLMs’, OpenAI.


Although the eventual outcome of these Large Language Models (LLMs) has yet to be revealed, we know that all models have been developed and populated with billions and billions of bits of

worldwide information.


In fact, you may be surprised to learn that Apple has developed and implemented a subset of AI

called ‘Machine Learning’. In 2017  it was added to Apple’s hardware and utilized on-device processing in real time! At the time it was considered cutting edge technology.


Some examples are: face-recognition in Photos, Siri, Search, auto-correct and auto-complete.  These are all feature we have quickly adapted to and often use daily!


Now today, Apple’s development is primarily an in-house endeavor, with a strong focus on integrating AI technologies into its ecosystem of products and services, keeping the processing and output on board all of it’s devices. It will also be partnering with OpenAI to enhance its AI capabilities within the Apple’s superior security.


While other AI programs might act like nosy neighbors, peeking through your windows and noting every little detail, Apple Intelligence is more like a security guard (picture a large German Shepard) who stands by the door and only lets in who you approve. They focus on keeping your data secure, private, and under your control, making it less likely to end up in the wrong hands.


So, in a nutshell, Apple Intelligence aims to be your digital BFF, guarding your secrets and respecting your privacy, while other AI’s might just be blabbermouths with questionable motives.


The bad news? Only a few devices will be able to take advantage of this extraordinary technology, so if you’d like to see why my faith is in Apple as the Guardian Angel of my data or more about Apple’s “AI For The Rest Of Us”, 



  1. iPhone 15 Series: The latest flagship models are expected to come equipped with the A17 Bionic chip, which will have enhanced Neural Engine capabilities to support advanced AI and machine learning tasks.

  2. Previous Generations: iPhones from the iPhone 11 series onwards (which include the A13 Bionic chip and later) will also support many of the AI features, although the performance may vary based on the specific hardware capabilities.


  1. iPad Pro (2024): Expected to feature the M2 or newer chip with improved Neural Engine capabilities for AI-intensive tasks.

  2. iPad Air and iPad Mini: Models with the A14 Bionic chip and newer will support most AI features introduced in the latest iOS updates.

  3. Standard iPads: Recent models with A13 Bionic chips or newer will also benefit from the AI advancements, although to a lesser extent compared to Pro models.


  1. MacBook Pro and MacBook Air: The latest models equipped with M1, M1 Pro, M1 Max, M2, and the upcoming M3 chips will fully support the AI features, leveraging their powerful Neural Engines.

  2. iMac: Models with M1 chips and beyond will be able to utilize the AI capabilities.

  3. Mac mini and Mac Studio: Both of these devices, especially those with the M1 and M2 series chips, will support advanced AI features.

Apple Watch:

  1. Apple Watch Series 9: Expected to feature improved sensors and an updated chip with better AI processing capabilities.

  2. Apple Watch Ultra: Likely to have even more advanced AI features for health monitoring and fitness tracking.

Other Devices:

  1. Apple TV: The latest models with A12 Bionic chips or newer will support AI-driven enhancements for Siri, content recommendations, and more.

  2. HomePod and HomePod Mini: These smart speakers will benefit from improved Siri interactions and smarter home automation features powered by AI.

  3. AirPods Pro and AirPods Max: Enhanced AI features for noise cancellation, spatial audio, and personalized sound experiences.


  1. iOS 17: This update will bring AI enhancements to compatible iPhones, improving Siri, on-device dictation, and personalized recommendations.

  2. iPadOS 17: Similar AI features will be available on compatible iPads, enhancing multitasking, app recommendations, and user experience.

  3. macOS 14: Macs will see AI improvements in areas like Spotlight search, photo and video editing, and system-wide automation.

  4. watchOS 10: The new update will bring AI-driven health insights, activity tracking, and personalized coaching to compatible Apple Watches.

  5. tvOS 17: Enhanced AI features for Apple TV, including better content suggestions and smarter voice controls.

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Artificial Intelligence (AI) is a branch of computer science focused on creating systems capable of performing tasks that typically require human intelligence. These tasks include learning from experience, understanding natural language, recognizing patterns, solving problems, and making decisions. AI can be categorized into two types: narrow AI, which is designed to perform a specific task such as language translation or image recognition, and general AI, which aims to perform any intellectual task that a human can do. The rapid advancement inAI technology is driven by the availability of large amounts of data, powerful computing resources, and innovative algorithms that allow machines to learn and adapt

over time.


AI systems operate by processing vast amounts of data through algorithms, which are sets of rules or instructions that guide the machine on how to solve problems or make decisions. Machine learning, a subset of AI, involves training algorithms on large datasets to recognize patterns and make predictions or decisions without being explicitly programmed to perform the task.


Another subset, deep learning, utilizes neural networks with many layers (inspired by the human brain) to analyze data and make complex decisions. The applications of AI are broad and impactful, ranging from virtual assistants like Siri and Alexa to more critical uses in healthcare, finance, and autonomous driving. As AI continues to evolve, it holds the promise of transforming industries, improving efficiency, and enhancing our everyday lives.



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