Apple has always been at the forefront of technology and has walked the extra mile to come up with new inventions quite often. Addressing the touch interface first seen in the iPhone to integrating software and hardware in the Mac, the company has always raised the stakes for its competitors. It came as a surprise when the company unleashed its new AI-powered features since it was a big part of the audience that thought there was something new, something revolutionary. First reactions, however, show that very competent AI has been designed and built but the “magic” of Apple products that the users have been dreaming of is not present. Actually, it would be described more accurately as ‘Magically Mediocre.’
Apple’s effort of venturing into AI is likely to raise concerns as being another case of let them down as it gripped the rest of the tech industry.
How Does Apple’s New AI Factor Into It?
The Alternative: What Were Users Expecting to Get Out of the New Apple AI? ‘The latest’ focus of Apple apps development and AR content creation lies in working towards improving the user experience throughout the ecosystem, starting from, improving Siri, new features of Photo editing and app suggestions, to more efficient photo editing features. The app and hardware intertwine beautifully that one computes which would result in the user having better devices in turn predicting what the user wants done, taking away unnecessary work and providing hassle free options.
The AI can do this in different ways for example, it can:
Extend Siri’s usefulness by making its utilization more conversational and context enriched.
Delegating chores such as reminder setting, scheduling and action recommendations depending on what the user does.
Make photo or video correction more intuitive thanks to the efforts of machine learning that learns how to tune the settings optimally in proportion to results.
Give predictions while typing/dealing with keyboards and provide an option for suggestion boxes which learn as you use them.
Well in theory these all sound like brilliant ideas– really who would not want a virtual assistant with more capabilities of performing some of the repetitive tasks us. But the truth is, Apple’s AI is not as efficient as it should be in reality.
Which Parts Of Apple’s AI Technologies Perform Well
It is prudent to first present the areas that Apple’s AI is efficient before highlighting the shortcomings of this technology. For the time being, there are some positive signs in the use of AI incidence regarding the integration:
Photos and Videos Edition
The most strategic implications of the new AI are developed video and photo editing. This AI enhancement feature can detect and assist in enhancing the images saturation, brightness, and clarity and make any improvement necessary with precision. Binaries machine learning algorithms configure parameters quite well in most users’ consensus particularly with limited time and skills to edit a picture by hand.
The Deep Fusion technology, which appeared in previous iPhone models and has received updates with the latest AI progress, allows users to take clear photos with much more detail, especially in dark conditions. It also does a good job of managing photo libraries, grouping photos by people or objects in them and frequently suggesting which based on who users interacted with most.
Battery Management Apple New AI Is Magically Mediocre 2024
An area where Apple’s AI has got a five star rating is in battery management. The AI understands your usage and optimizes and schedules various background activities to extend the battery life. For instance, it might be noted that AI understands when a user will connect the charger every night. In such cases, the AI will limit the battery draining processes during this period so that the phone will be able to last a reasonable duration. This certainly could lead to quite a lot of power being conserved in the long run, especially for those who are on their devices most of the time.
Mediocrity Defined: Siri and Context Awareness
Nevertheless, not every aspect of Apple’s new AI is quite as impressive, especially its photo editing software. Amongst the reasons for this defeat, one of the most significant is Siri the voice bionic assistant, who is meant to be an integral part of Apple’s AI infrastructure. Siri is somewhat better than before in contextual awareness and degree of flexibility of understanding the tasks, and offering the relevant and helpful clues, but it cannot boast the same results as its rivals do: Google Assistant and Amazon Alexa.
Siri’s Contextual Problems
In principle, advanced AI capabilities which Siri technology improvements will suggest should have helped foster more constructive interactions. In this sense, if I asked Siri to “remind me to pick up groceries” and subsequently requested her, “Add eggs to that,” then she should assume that “that” is the grocery list. And while that is right and sometimes gotten right, the other possibility that exists is that Siri does not always get this correct and so can be persistent in seeking more clarification.
Users have acknowledged that Siri often seems unable to cope comfortably with a more complex task or follow-up within the same conversation. For example, suppose users try to ask Siri “please remind me about this” after reference on the email or web page. This often causes a problem. Instead of getting an uninterrupted experience, which is what app users are looking for, Siri makes you edit or rephrase your request manually, which renders the use of a smart assistant futile.
Limited Predictive Intelligence
Another area where Apple’s AI shows its mediocrity is in predictive intelligence. But that’s not all. Apple is still far from perfection in suggesting apps or actions based on one’s’ past actions. The AIs mainly provide suggestions that are more or less done previously, and may not be suitable for the context. For instance, if you use a specific app every morning, the AI will even recommend it during the weekends when it is not your usual practice.
In this regard, however, Google seems to have the knitting together of various services which contain more popular services especially when it comes to responsive predictive, in the case of google assistant or google photos than Apple. That Dog is Apple, which still in its AI has a very second nature, while Apple’s in a way, still somewhere rigid, does not have an effortless approach into people’s lives on a daily basis.
Deficiencies in Apple’s AI
While the AI improvements have their bright spots, there are more demerits that make it difficult for Apple’s AI to shine entirely.
Automation Shortcomings of AI
One of the most frustrating features of Apple’s AI is its ineffective automation of some tasks. Apple describes its AI as having a learning curve based on an individual’s behavioral patterns and preferences, however, often this turning into complete task execution fails to spare apple products. For example, such as the Shortcuts app, it is possible to set some actions as automated but it cannot at this time a) eliminate certain manual actions or b) have the level of sophistication shown by IFTTT or Google’s Routines.
For example, even though Siri allows its users to set their commands to perform basic acts such, for example; sends a preformatted text, turns on or off the smart lights, usage of these features is far from or even very basic are a tamer of certain barriers for which their usage was intended. There is a clear and harrowing gap between hopes and realities. Setting it up is also cumbersome, and the AI is usually not yet experienced enough to perform advanced simple tasks that require several different sequential actions.
Lack of Third Party Integration
Apple’s AI system is also limited in the sense that there is a very little third-party integration. Apple is known for taking care of its ecosystem rather harshly and therefore its AI functionalities are best used with apps and services only produced by Apple Incorporated. Although this provision enhances the user experience for users of Apple products, the opportunity of bringing in AI to tie up with other apps and services goes to waste.
In the same manner, Google Assistant and Amazon Alexa have a wider third-party support making it possible to execute more functions such as staking purchase orders, controlling smart home devices, or app usage outside of Apple. This restriction has limited the advancement of Apple’s concepts of artificial intelligent assistance and there are users who feel that the devices are making too much separation.
No Major Innovation
Apple may be more reasonable in applying artificial intelligence but in the process few critical issues emerge. Critics of Apple’s AI systems have stood by the fact that there are no radical changes that come with the solutions. For instance, some of these advances include effective photo enhancement and managing battery life without engaging in further strides.
Considering the historical approach of the company towards new innovations, it’s not surprising that Apple’s AI comes off as more of an afterthought than a dominant force. Companies, especially Google, have already impressed AI coming up with better and more flexible features than the ones offered by Apple. Apple’s AI is good enough, but it doesn’t carry the “oomph” which most people expected.
Conclusion: The Magic Is Missing.
Saying that Apple’s AI in the new product is limited is not saying that the new product is not fancy enough out there, at least in parts. In place of some new experience there is a picture of gradual movement towards progress, disappointment with the absence of the ‘magic’.
Siri, yet again, is not great at meeting her own hype and the AI tries to help around with the non-desktop predictive and automation features that are worthwhile but only so much. Put simply, Apple’s AI is still only an improvement on existing technology and not the arrival of an entirely different beast.
The new AI there is for Apple admirers will help enhance their user experience as usual, but for those hoping for something novel, Apple’s new AI is amusingly disappointingly cliched.