There’s been a lot of hand wringing around the potential innovation and potential hazards of a thing called “AI.” There have been many debates about ethics and implications. The technology could force a significant shift in the way we look at intellectual work and intellectual property and I regret to inform you that any attempt to prevent it’s development will inevitably be worse for humanity than allowing it. (Don’t believe me? Look into why Roman technology stagnated.)

What I don’t want to do today is contribute to that debate. I am more interested in some things I’ve seen in AI that are actually signs for optimism about the way we will react to the technology. This is not to disregard the shortcomings and hazards AI may pose. But I am a creator first and foremost. We survive by making things that emphasize the good and beneficial aspects of our tools rather than by constantly dwelling on all the shortcomings. Hazards are things to be avoided and drawbacks things to be compensated for. The real question is what will we get if we avoid and compensate our way to a successful AI creative environment?

Well, the first thing is we will get a much more verbal society. Ever since Apple Computers introduced the first graphical user interface (technically inspired by Xerox, I believe, but still usually credited to Apple) electronics have been moving us towards a visual culture. Look at any smartphone screen and you can see the upshot of this. Lots of pictures, very few words. However the things we call AI are large language models (LLMs) developing algorithmic prediction based on a neural networking framework – a bunch of fancy terms meaning they read the Internet and form an idea of how the words connect to each other. That means in order to get an output from the LLM you must input words. You cannot press buttons with pictures on them. You cannot draw something.

You. Must. Use. Words.

This is very different from the way using electronics have been going for the last twenty to thirty years. Nothing has dealt more damage to the modern person’s verbal skills than how little they are needed to use modern tools. Don’t get me wrong, the visual communication employed in modern user interfaces is quite impressive. Given the international market for much of these products its also very practical. However it has also reduced the interest in and power of verbal communication in almost every aspect of society. An AI built on an LLM pushes the pendulum back in the other direction by forcing prospective users to interact with it verbally. For the writer and the storyteller that is a positive development.

Of course, AI requires a very idiosyncratic kind of verbal communication right now and that’s less than ideal but I will take what I can get.

That brings me to the next thing about AI that gives me cause for optimism and that is the need for framing. If you have used some kind of online form in the last five years or so you may have been asked to find all of the stop lights or buses in a picture before you can submit it. The primary purpose of this exercise is to prevent automated programs from flooding the form with submissions. The bots that fill out these forms cannot understand the pictures so they fail this simple test.

The secondary purpose of this exercise is to create AI that can understand the pictures.

One of the things no AI can do is frame an object. When the AI program looks at that picture all it sees is a bunch of pixels arranged in a grid. It has no way to tie specific groups of those pixels to a concept like a bus or a stoplight because buses and stoplights are arbitrary concepts invented by humans. The AI has to be taught the concept to understand it. The idea must be “framed” for the AI by human beings who already grasp it.

Human beings have a remarkable ability to learn new concepts and apply them to the world around them based on their pattern recognition skills. It is this ability to “frame” issues that gives rise to creativity, language and communication. Even if an AI can be taught the very broad, basic aspects of something like the law or medicine it still will not grasp the intricacies of a given situation in its specifics. Working out these intricacies and communicating them back to an AI is going to be a necessary skill going forward. This, in turn, will demand people develop situational awareness and communication skills, things which technology has so far driven people away from, rather than towards.

This emphasis will, once again, push people to develop verbal skills which our society has largely allowed to atrophy over the last thirty years or so. In this environment there will be plenty of opportunities for people with a strong command of language to thrive. Better yet, it may change cultural tastes. Visual art is all well and good, don’t get me wrong. I love to draw as much as I love to write. However there hasn’t been as much taste for verbal craftsmanship as there has for visual craftsmanship in my lifetime and if the rise of LLM AI pushes our culture towards verbal excellence again I think it would be a nice development.

I am not saying these things are guaranteed. Nor am I in any way implying that AI will not cause our culture considerable difficulties as it grows towards its full potential. The printing press and the Internet did those things as well. However I do see some reasons to embrace this shift in technology not just for its ability to boost dreary things like efficiency and productivity but also for its ability to push our culture towards aspects that have long been ignored by most people – the communication of ideas through verbal excellence. It is by no means guaranteed but one can hope.