As I read this article, it reminded me that people don’t always use AI the way I use it.
I use AI as an enhancer rather than just a tool that gives me answers.
I put my own data into it, and I ask it what it understands about that data. I want to understand what it has learned from my input and how it interprets it, so I can extract knowledge, discover blind spots, or recognize something I may not have seen before.
And if there is something it misunderstood, I correct it.
I think a lot of people forget how to communicate.
AI also has a way of communicating, and if we cannot communicate clearly, we can be misunderstood. It is the same with AI.
The clearer the mirror, the clearer the picture it shows.
If we only take answers from AI, it will work with the information available to it without necessarily exploring the ideas further, because we haven’t asked it to do so.
Then we aren’t using its maximum potential.
And there isn’t much difference when it comes to communicating with humans.
We both know, Kevin, that sharing, communicating, and seeing the same data through different lenses can amplify the core knowledge of an idea or thought.
So what is so different about AI when it comes from human knowledge?
If we don’t guide it to think through and elaborate on the data, then we are simply extracting information from an encyclopedia rather than allowing AI to explore ideas, connect them, and offer different perspectives.
And if you teach it how you think, it can help improve your way of thinking and amplify it.
That, my friend, for me, becomes wisdom.
Because we make it work rather than just absorbing its output.
As we communicate, it begins to recognize our patterns and the way we think within that interaction.
And the clearer we become in communicating our thoughts, the more clearly it can reflect them back to us.
Once that happens, it can amplify our ideas and help us see both their potential and their blind spots.
Through that process, we observe ourselves through another lens, which is AI, and sometimes see ourselves in a light we have never seen before.
And once that happens, a light pops into your head.
Suddenly, you understand something you didn’t see before.
A breakthrough, perhaps. Who knows?
But once something is seen and observed, we then have a choice about what to do with it.
Guiding AI through that process can only be as clear as the person using it and the communication between them.
I think our lack of knowledge about how to use its capabilities fully is one of the things preventing humanity from grasping what we actually have in our hands and within our reach.
And it becomes a cycle, a spiral moving upward, as we keep amplifying each other through AI and ourselves.
The key is directing that interaction toward the desired outcome while understanding the capabilities currently available to us.
Without this cycle of going back and forth, AI can become stale in the hands of someone who only takes answers without questioning, challenging, or exploring them.
It is the same with communication, human skills, and relationships.
AI is no different in the way we approach the interaction.
It is a give and take relationship rather than simply taking.
The same principle applies to nurturing a plant or an infant.
Growth requires interaction, attention, and the right conditions.
And perhaps the interaction can only grow as much as we are willing to grow with it.
I remember a story I read in a book by Jay Shetty. It was about trees.
The trees growing in an artificial environment died earlier and didn’t reach the age or strength they normally could have.
And when they investigated why, they discovered something interesting.
It was the wind.
The trees needed that movement and resistance to become stronger.
And I think it is the same with humanity, with our thinking, and with the way we use AI.
It is the same with any concept that is never challenged.
If we all agreed that the world was flat and nobody ever questioned it, who would dare to look further and ask, what if it was round?
We would remain with the same information, and our knowledge would not evolve.
But if we challenge it, question it, poke at it, experiment, and discover, then perhaps we might learn something new.
It all begins with a simple question.
What if?
And with that shift, we can change the way we explore the knowledge AI carries and what we can do with it.
Sometimes, it only takes one person to start asking.
What if it could do this?
What if we tried something different?
And who knows what could happen?
The answer may not always be the most important part.
Sometimes, it is the problem or the question that matters more.
Because how can something ever be answered if the question was never asked?
And how can we truly know something if we never question it?
That is what pushes us to explore what AI is capable of, rather than always focusing on what we can take from it.
Of course, giving it input, questioning it, and continuing the interaction are essential parts of that process.
And another thing.
About doomscrolling and people spending hours watching short videos.
People see it as a problem, but how often do we stop to think about a solution?
What if we could educate people through those same short clips?
What if doomscrolling became educational?
What if the algorithms shifted toward knowledge rather than simply keeping people scrolling?
What if we found ways to share knowledge in a fun, engaging, and accessible way through short videos?
Instead of only seeing what is wrong with something, why don’t we explore what else it could become?
If you only see one side of a cube, you may never see the different perspectives created by its light and shadow.
And sometimes, we need to think differently and see differently to find ways to strengthen a concept rather than weaken it.
Sometimes, we simply need someone to point us toward another way of thinking so we can see what we couldn’t see before.
And that is precisely the cycle.
We share, we question, we challenge, we observe, we learn, and we grow.
Then we bring that new understanding back into the conversation, and the cycle continues.
For me, that is where the potential of AI becomes interesting.
Not just in what it can answer, but in what we can discover through the process of communicating with it.
Because sometimes, the answer was never the point.
Perhaps it was the question that opened the door in the first place.