Apple intelligence is Apples First Step into the AI market.After several months of messing with the summaries, the look up, the queries, Apple is doing the slow and steady roll out when compared to Googles Own Gemini or Microsofts Co-pilot which is going head first into the integration into our devices.

So to start off this post, I won’t be talking about image playground, or any type of generation. I didn’t mess around with those and only stuck to more of the basic features and not the chat-GPT integration. I don’t find the idea of image generation to be useful for my blogging or anything I do. 

The initial set up to Apple Intelligence is pretty straight forward; you just jump into the beta and turn it on from your settings. But at first the summaries and some of the initial offerings are kind of bare. Its a system that has to learn you, so it has to read your information because its learning about you and how you operate from the point of activation. It isn’t like a movie where it just seeps into your system and poof its there and knows everything about you. Apple is taking data from a starting point and learning about you. So from that point and moving forward its collecting data about you. Also if you start to see more system data take up space on your phone, thats storage for the AI system and if you include other devices such as your Mac or iPad then it will take up more. 

Apple Intelligence has been helpful for me in a few key areas. Summarizing several emails that have been insanely worded and helping me adjust some of my emails that I need help writing or figuring out a response to. I have used it for a little bit of proof reading and correcting some past key emails, and I have periodically let it check my writing nowadays. Which is why below is what this blog would sound like if done by AI.

For the “response queries” when I ask the AI a question, its really only related to something I can’t figure out off the top of my head such as inquiries involving measurement, weights, volumes and solving certain math problems. I haven’t found the on device query of talking to Siri to be precise as I want; telling it to set an alarm or to pull up my calendar for today can sometimes be a miss or a huge miss.  Asking what my next calendar event will display a list of all my reminders without responding to my precise query of whats next within my actual list.

With all the CEO’s pushing this “AI revolution” and for all their ideas of AI replacing workers, I don’t see it even coming close to that. I still mainly see AI as a “tool” that will help people get started with working, but as of right now my initial thoughts are still…it has a long way to go before we get to WestWorld.

In my blog below, I have allowed Apple Intelligence to proofread and given it a more professionally sounding spin. Please enjoy.

Apple Intelligence: My Week(s) with AI (Rewritten by AI)

Apple’s first foray into the AI world is called Apple Intelligence. After months of tinkering with summaries, lookups, and queries, Apple is taking a more measured approach compared to Google’s Gemini or Microsoft’s Co-Pilot, which is diving headfirst into integrating AI into our devices.

To commence this discussion, I will refrain from delving into the topic of Image Playground or any related generation capabilities. I refrained from exploring these features and instead focused on the fundamental functionalities, excluding the integration with ChatGPT. In my opinion, the concept of image generation does not align with my blogging endeavors or any other specific tasks I undertake. 

The initial setup of Apple Intelligence is relatively straightforward. Users can simply access the beta version and enable it from their device settings. However, it is important to note that the summaries and initial offerings may appear sparse at first. This is because the system is still in the process of learning about users and their operations. Unlike a movie that seamlessly integrates into a user’s system, Apple Intelligence begins by analyzing data from the point of activation. As the system continues to learn, it collects additional data about users.

Additionally, if users notice an increase in system data consumption on their phone, it is likely due to the storage required for the AI system. If users have other devices such as a Mac or iPad connected to their network, the AI system may also require additional storage space.. 

Apple Intelligence has proven to be a valuable tool in several key areas. It has assisted me in summarizing lengthy and complex emails, thereby simplifying their content. Additionally, it has provided guidance on drafting and responding to emails, ensuring that my communication is both effective and professional. Furthermore, I have utilized its proofreading capabilities to correct past key emails, enhancing their overall quality. Currently, I regularly rely on its writing assistance to check my drafts, ensuring that they meet the highest standards of clarity and accuracy.

If this blog were to be generated by artificial intelligence, it would likely follow a similar structure and content.

When I ask the AI questions, it’s mostly about stuff I can’t figure out on my own. Like, I need help with measurements, weights, volumes, and solving math problems. Siri on my phone isn’t always accurate. Sometimes it sets an alarm or shows my calendar, but not always. And when I ask it what my next calendar event is, it shows me all my reminders, not just the one I want.

Despite the numerous CEOs advocating for the “AI revolution” and their assertions that AI will replace workers, I fail to perceive it approaching that level of sophistication. In my opinion, AI remains primarily a “tool” designed to assist individuals in their professional endeavors. However, my initial impressions suggest that it has a considerable distance to travel before it can achieve the level of complexity depicted in Westworld.