Apple Watch Ultra

I’ve wanted an Apple Watch Ultra ever since they were first introduced, back in 2022 as it turns out (Thanks, Wikipedia!). The Ultra is the larger, more rugged, and fancier version of the run-a-day Apple Watch. It can function as a dive watch, and is marketed for the extreme sports nut. I am neither a diver nor an extreme sports nut, but I still coveted the Ultra.

Enter the Apple Upgrade Program. This is the new program under which I can lease an Apple product (limited to watches, phones, laptops and a few other items) and pay nothing down (taxes being included in the monthly payments), and a low monthly payment for 1-3 years (again, device dependent) and then return the product to Apple for a new one.

You can see where this is going: I leased an Apple Watch Ultra 3. The deciding factors for me were the lack of tax up-front (whereas for every iPhone I’ve ever bought I’ve had to pay $100+ for taxes on upgrade day) and the low monthly payment instead of an $800 outlay. Suddenly there were no obstacles to obtaining the Watch.

I’ve had the Ultra 3 for a month now, and just paid my first payment (I actually walked out of the Apple Store paying nothing and just signing up for the program). What follows are my thoughts after having owned basic-model Watches until this point, and they are my main source of comparison.

The obvious is that the Ultra is an Apple Watch. It functions exactly the same as any other Apple Watch (with the addition of an action button, which iPhones of a certain age now have as well). It tells time and does a million other things depending on how anyone wants to use it. I like to see the weather, battery life, have a shortcut to timers, see the date, have a shortcut to baseball scores, and see my activity. The larger screen of the Ultra also gives me the ability to navigate back to my car in a large parking lot (helpful for events such as baseball games). In reality, the complications (as Apple calls them) are as varied as the watch faces, or more so, and can do almost anything you want them to do.

The good is that the Ultra is about 1.5 times as thick as the Regular, and it seems almost all this extra volume is battery. With my Watch 8 I was getting about 100%-> 20% worth of life from about 0730-2300. If I pushed it, and used low battery mode, I could get more than a day. Now with the Ultra 3 I routinely get two nights and two days before I have to charge. In reality, I charge slightly more often because my default is to charge during showers (yes, I could wear the watch in the shower, but I don’t). Because the Ultra charges ultra fast, it is usually 75% or more charged by the time I am clean. Practically speaking, I don’t worry about charge on my watch anymore. At all. Which is fantastic!

The bad is that the Ultra is about 1.5 times as thick as the Regular, and it sits heavier and prouder on my wrist. This means that I feel it more when doing every day activities (I barely noticed the Watch 8) and it digs into the back of my hand whenever I bend my hand up. The Ultra is also more prone to being knocked against door nobs and other protrusions in my daily life because I am clumsy. I’ve already scraped (barely) the upper left corner of the casing in doing so. Still, the screen is pristine because this watch is tough otherwise.

Included in the bad are the gestures that are possible with the Ultra 3. The watch has the ability to sense a pinch and a rotation of the wrist to dismiss notifications or activate other actions. I found both gestures to be useless to me because the Ultra was “sensing” them when I didn’t intend to use the gestures and doing things I didn’t want the Ultra to do. I quickly turned both off. I didn’t have them on the Watch 8, and I don’t miss the lack of them.

Would I do it again: would I lease the Ultra 3 over upgrading to the Watch 11 knowing what I know now? I honestly don’t know. I am 50/50 on whether I like the Ultra 3 more than a Regular. I love the things I love, and I don’t like the things I don’t like. I won’t get better battery without sacrificing thickness, at least (possibly) until next week’s Apple Event when Apple (might) unveil an Ultra 4 that is somehow the same battery at half the thickness (I doubt it?). The larger screen size would be possible in a thinner case, but premium things for premium watches, I suppose. Increased way-finding is probably a result of premium sensors.

At any rate, I am “stuck” with the Ultra 3 for the length of my lease, at which point I will survey the market after years of upgrades that will inevitably occur and decide if I want whatever Ultra is available then vs whatever Regular is available. It is an experiment I am able to make, again, due to a fairly reasonable lease option. Watches aside, I will most likely use the lease option for my new iPhone (whenever I decide to upgrade) and probably new laptop, not that I am going to upgrade anytime soon, but it’s nice to know that leasing is now available for most Apple products.

(I just wish leasing was available for the Vision Pro. I really want one.)

The Heart of AI

It seems like everyone wants to talk about AI in recent times, and, well, I am no exception. In my current job, I have been tasked to come up with some guidelines and rules related to the use of Large Language Models and Generative Algorithms, or what is collectively being called Artificial Intelligence.

This AI is far from what I was promised as I read the science fiction and speculative fiction of the Golden Age of such genres. Robots, smart technology, and computers were promised that could alleviate much of the drudgery of everyday work and management, leaving humanity free to focus on other pursuits: art, society, and the betterment of all mankind.

In practice the tech bros, that are celebrating what they call Artificial Intelligence, are using their slurry-bots to unemploy large segments of certain populations, while consuming more than their fair share of energy and water. In fact, what they have done is not to give us true AI, in that while certainly artificial, these LLMs and generative platforms are more akin to kitchen blenders for human-generated thoughts than anything else. Whatever this technology is, it certainly isn’t intelligent: it is prone to massive hallucinations and errors and flat out fantastical results (in that the results are disconnected from any reality we know and share).

Anyone who knows me knows I am as early an adopter of new tech as I can be. I love getting new and improved gadgets, and figuring out how they fit into my life and workflow. But with this “AI” I haven’t been. I have only used ChatGPT in very brief, and have eschewed the entire industry as best as I can. Why? Why am I a hater of “AI”? Mostly because it is a sham, and a façade, of what intelligence is all about. The robots of my stories could reason, could function independently, and could learn. They could grow beyond their base programming, and become something more than the sum of their parts. That is what intelligent beings do, after all. They imbibe experience and churn out new things.

This “AI” though? All it does is take exactly what you give it, parse it into tiny bits, and recombine it. Ask anyone who knows about this tech, and if they are honest, they will tell you that is all it can do. An image generator is taking millions of photos of sunsets that it was given, usually through theft of intellectual property, and gives back an amalgamation of them all in a single image. What it can’t do is generate a completely new image of a completely new sunset. The former is a kitchen blender making you a shake, the latter is intelligently understanding what a sunset is, and making one from scratch. Rinse and repeat for text, or video, or anything else these platforms promise to “create”.

And that’s my fault with the machine. It is all artificial and no intelligence at all.

Beyond that, these weapons (make no mistake: they are not tools) are destroying the next generation’s ability to learn, to think creatively, and to learn. I am well aware that this argument has been made about many technologies before, and to a certain degree, this argument is true and false. Consider this: I have no idea how to care for, ride, or utilize a horse for pleasure, transportation, or work. Zero equestrian skills at all do I hold. This “new” tech of the horseless carriage, or “car”, has completely destroyed, for me, horsemanship. Arguments can be made as to whether or not this is a good or bad thing, but owning a car means I know nothing about horses. Now, I can still learn about horses if want to, but I don’t need to. This argument is true in that the technology of cars has phased out the millennia old technology of horsepower (largely).

However, this argument is false in that horses are no longer necessary for transport or work (in most regards), so I don’t need to know about them. Thank the stars for mechanics, because a car would be useless to me the moment it broke down since I only know how to drive them, not repair them, but that is a lack of knowledge that I could rectify if I needed to. I could learn how to repair my vehicle’s engine and structure, but I chose not to. So far, that has only resulted in me spending a bit more money, and nothing else. Machines have done away with many older technologies. Again, the morality of this is not what I am addressing here.

Back to generative “AI” for a moment: what technology is this seeking to replace? Unfortunately, there isn’t an older, now outmoded tech that is superseded by AI. What is being made obsolete, in some circles and for some generations, is humanity itself. And no, I don’t think that is hyperbole. A friend of mine was celebrating that she wrote a song using AI this morning. The truth is, she didn’t. AI doesn’t know what a song, or music, really is. Only humanity, the progenitor of such things, knows what a song or music is. What my friend did was have an algorithm take an idea (that my friend thought of) and give her back a junk food shake of anything it had tagged as “song” or “lyrics” or “music” without actually knowing what those things are.

Another example: ask an image generator for a picture of an apple. Mostly you’ll get something red or green that looks vaguely apple-ish. (Assuming we are talking the fruit. We could be talking about the tech company…and you hopefully begin to see part of the problem already). Now, suppose I went into the code of the image generator and re-tagged everything related to fruit:apple to blue:sphere instead. Now, the generator would spit back images of vaguely apple looking things that would be blue. In very basic terms, this is all the generator can do. It only “knows” what it has been “told”. It cannot learn what an apple is in any real sense through experience either. I tell it blue spheres are apples, that is all it will ever know unless I tell it different. You could set up a web cam and a microphone in an apple orchard and plug it into a computer and leave it running for an eternity, but unless I tell that computer what an apple is, it will never know though it can “see” and “hear” all about the growing apples for itself.

Back to humanity. Students, professors, administrators, and many others are learning through what we have told them is the shortcut to their work: AI. They are replacing their own original and creative thought with this computer gobbledygook. It may be highly sophisticated, it may be greatly illusionistic, but at heart, in reality, it is a sham and a flim-flam. And really, pay no attention to the billionaire behind the curtain profiting through laying off half his workforce and making even more money by selling you an automaton that can only exist within very narrow parameters. What these students, and others, are doing is exchanging real learning for nothing. When they, students in particular, leave the bubble of school and are thrown into the real world, they will be largely left to flounder because they haven’t learned, they have thrown prompts into a computer and turned in the results. Nothing has gone into their minds, been understood, and come out the other side with their own imprint on it. If/when the AI bubble bursts, they will be left to learn for themselves, and most, I fear, will not be able to for a long while.

Heck, if all cars suddenly stopped working tomorrow, I couldn’t get to work because I don’t own a horse, have no idea how to ride it, and can’t care or feed one anyway. I’m stuck until I find a horse and learn those things. A person is stuck until they actually learn something that AI short-circuited for them previously.

Another side of this is that what is being replaced is not just term papers and reports and briefs. It is art, and music, and literature: the very things that make humanity worth living. Why do I connect so strongly with Emily Dickinson’s poetry? Because she was a human who lived and experienced life, and no matter how removed we two are, there is an understanding between us because I, too, am a human who lives and experiences life. A computer, no matter how advanced the algorithm, does not live and does not experience. We have, as Steve Wozniak, co-founder of Apple, recently said “Actual Intelligence”, and what a profound and deceptively simple insight that is. Tell a computer the dictionary definition of “insight” and never in eternity will it give back what Woz gave the world in an instant (or however long it took him to cogitate his speech).

Maybe I should learn to ride a horse. At least then I would have a relationship with another living creature, instead of a steel and fiberglass cage that takes me places.

Actual intelligence is the ability to generate a poem from feeling, a song from beauty, a book from insight, or a painting from imagination, or dare I say, a report about how work is going that actually has insight. No computer can do those things at all. Blenders in data centers is all we have right now. Please, put down the blender and experience the world and then communicate to me, however you can, in your own way, what you have experienced. Don’t put artificial intelligence between us.