1st Edition, 1st Revision
The last two posts present the theory put into practice of what I have been discussing for some time in previous posts.
As the saying goes:
“Easy to say, hard to do!”
I agree. While juggling countless daily tasks, I was waiting for the right opportunity to put it into practice — and it came naturally. This is one way to save time, especially when time is something we have so little of.
Intelligent Bots — Are They Really Intelligent, Almost Human?
Are Intelligent Bots Really Intelligent? Squeezing Out the Best!
Today I read the following news in Estadão newspaper (São Paulo/Brazil):
“We Will Become Dumber If We Blindly Trust Stories Created by AI,” says Marcelo Gleiser.
Marcelo Gleiser is an advocate of a more humanistic science. The physicist is the curator of São Paulo Innovation Week, an event that *Estadão* will host in May.
So here comes the question:
Do you agree with Marcelo Gleiser?
Even if it’s a “marketing” headline — since a newspaper depends on that — and as long as the news itself is authentic, I see no harm in it. What is bad, terrible, harmful, and even criminal is promoting “fake news” — false information with objectives that are not always openly stated.
If you search for “AI” on this blog in its search box, you’ll find a series of posts about it.
You may also choose another term, such as “bot,” since a series of posts does not necessarily use the exact same terms — but each set of posts, especially when a single post is not enough, does.
In short, in my previous posts I have been pointing out the danger of either rejecting AI or using AI the wrong way. In the most recent ones, I presented some practical suggestions.
The answer for the reader is simple.
If the user applies it incorrectly, then I stand with Marcelo, confirming the same opinion I had already expressed in earlier posts — long before.
Obviously, if the person chooses the opposite side, they will ride the wave of the new era as an updated human being, capable of continuing to compete professionally in the marketplace.
AI is neither bad nor good.
It is like a knife — it depends on how we use it.
What is fantastic about AI is that you can expand your intellectual and cultural capacities with it.
Some people reject the possibility of “reasoning” with AI out of pure insecurity. I have heard comments like that from readers, and I chose not to react at the time — I preferred to express it in writing.
The capacity for reasoning can be developed, just like someone goes to the gym to develop muscles. Of course, some people develop more than others. But if a person commits to the exercises, they will never be the same as when they first walked in — even if the overall result does not satisfy the ambitions of their ego.
In a previous post, I showed this experience with children.
Where did that inspiration come from?
It came from a teacher named Almir, who taught Analytical Geometry at Colégios Integrados Objetivo many years ago.
He presented two ideas that deeply marked me.
The first was that he would teach the subject from that perspective — focused on reasoning.
It is worth remembering that our class was considered special and truly gathered those who genuinely wanted to learn. We were quiet, but we also had time for laughter and rhythm — something teachers appreciated because it happened at the right time and helped prevent the creation of problematic “nerds.” Other classes were noisy and distracted, so the school began grouping students by profile whenever possible.
At the time, I found this proposal of “teaching how to think” innovative.
Was it really?
As a teenager, without the life experience that comes with age, I imagined intelligence might be something innate. I had never thought much about it until that day. But if the purpose of life is evolution, then it makes sense.
The second proposal was even bolder.
He stated that there is a part of the brain that processes things in the background — in parallel — without occupying the main conscious part.
The class resisted the idea.
I put it on standby and gave him the benefit of the doubt.
In short, he said:
“Try this:
If you have a problem you cannot solve, ask yourself the question — and wait.
You will see that the answer will come when you least expect it.”
Even though we were excellent students, the class ended up teasing the teacher.
And he, patiently, insisted.
Honestly, it did not work for me in the short term.
But I never gave up, and after more than a year, it started to work.
To this day, when I face a problem, I delegate it to that process and walk away. If you consciously compete with it — at least in my experience — it does not work. Leave it alone. Do not demand a deadline. Then it works beautifully.
Do not give up on questioning the intelligent bot.
It is an exercise for you — even if your questions seem to lead nowhere. The mental process is magical. When you least expect it, you will find yourself reasoning better and better.
What is the downside?
First, it takes more time.
Second, if you do not organize and store your dialogues efficiently, you lose context — something you once understood can fade away over time.
If you keep records of your dialogues with intelligent bots, you will notice that they evolve as well. And that is no surprise — engineers work hard on this and also learn from collected data. That is why you should avoid sharing private information.
And finally, here is my opinion:
As I have said before, AI will leave behind those who do not know how to surf it.
It is inevitable — just like those who rejected machines at the beginning of the Industrial Revolution. The same happened with the adoption of computers.
What saved those who disliked computers was the smartphone, which turned computing into something people could not live without.
AI will favor intelligence, reducing the weight of memorization as a determining factor. The natural ability to memorize will always matter, but it will become less decisive as real-time answers through wearables (devices we can wear — glasses, clothing, etc.) become as common as smartphones.
Smartphones were designed to be easy.
AI, however, demands reasoning development.
Maybe something simpler will emerge — but I would not wait for that.
It might be too late, because those who started training now will already be ahead of you.
And you?
Are you going to wait?
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