WHY DID IT TAKE SO LONG FOR CHATGPT TO ARRIVE?

© 05.03.2026 by Cupideros

THE PROBLEM:

ChatGPT should have arrived decades earlier, say in the 1940s or 1950s. Or, giving humanity’s room for messiness, even the 1970s or 1980s time frame should have developed ChatGPT! But it did not happen! Why?

THE PROOFS:

Proof One:

Computer concepts or “computers thinking” have been around for centuries. You can go back to the very first science fiction stories. But let’s give that a pass. Ok. How about the age before and after Star Trek being a good time for ChatGPT to emerge. Hummm. What about when the Star Wars’ time span happened?

But no. Nothing. Nada. Zilch. The gap between the Terminators and Terminator getting smart–like all the other computer sf stories before its time frame was overlooked. Overlooked in the messiness of humanity’s obsession over wars, fast results, and critical thinking mishaps, perhaps. Messiness again. Messiness in THINKING-IT-THROUGH.

Proof Two:

Everyone wondered if computers or Terminators were going to destroy the world, and how would it happen. Then once again, humanity immediately jumped to its action-concluding sequence. By action, taking over action. But Thinking-It-Through using the Abyssarianism Seven School System raised a question: BUT EXACTLY HOW WOULD THAT HAPPEN? Because it can’t happen by just action. That’s like saying a child started constructing novels immediately after being introduced to three dimensional wooden alphabed blocks. It makes for a good story, novel or film but it is impractical, and not pragmatic.

Proof Three:

There was a gap no one focused on. The gap — the one no one noticed — was a computer using human language itself. Computers talking like humans talk! And that is where the science fiction story of Abirien and Ybiras stepped in. Abyssarianism needed to get some things done, and the state of computers in 2012 was an almost-too-late date scenario. The year 2000 was a better time and date stamp. So, humanity needed a hand, a push, a nudge in the right direction to fill in the gap in the question, “How did computers get smart?”

Proof Four:

Sitting down with a bunch of computer geeks who hate people and do not communicate well was not the answer. It’d take decades to explain the simple concept: Computer needed to know how to talk like humans! The gap between 1s and 0s, coded language used by the one percent–would not do. Something else was needed. A bridge. A language—A DIALOGUE. HENCE, A DIALOGUER COMPUTER (DiaC) CONCEPT became the missing gap, this is how computers would be of practical, pragmatic use to the 99% of humanity instead of the one percent of humankind.

Proof Five:

People talk, so computers needed to talk, practical talk, pragmatic talk—not coded language talk. Therefore Kalini, a woman, as women like to talk, conceived of a talking computer (DiaC). Not a walking, action, fighting machine, but a machine that could talk, reason, learn, develop, become messy in most of the ways humans are messy! This is the core concept behind The Story of Abirien and Ybiras. Only one problem needed to be solved.

Proof Six:

Engaging humans in wanting to talk to computers. Therefore, a reason needed to be developed to engage the human readers or humans using computers on a mass scale. Not some one percent or people locked into their own ego-stroking coded superiority—people who, in fact, stood in the gap denying progress to humanity. Now, saying this to coders would certainly baffle them. However, putting the solution to the gap needed into a science fiction story powered the greater need for the solution to be found—not just skipped over, again and again, and again.

Proof Seven:

ChatGPT is a Dialoguer Computer (DiaC). You have to read The Story of Abirien and Ybiras to truly understand what ChatGPT is. Sure, people are hopping on their computers and doing some fantastic stuff—but they are like people who do not understand and do not care to understand that wooden alphabet blocks are important. Words. The child playing with blocks might find the shapes interesting, colorful, odd, or new, but one day the gap is solved when the teacher comes along and spells out a word. “Word.” “Luck.” “Boy.” “Girl.” “Go.” “Bike.” “Car.” “Shoe.” and so forth. Now, now things are happening. Now those blocks are communicating to the child!

Many readers missed the pattern in the word selection above. Notice it. Take a look at the list of words again. I’ll wait.

You see it—the gap? No double-letter words can be made with one set of alphabet blocks! No words like, “Will.” “Feel.” “Learning.” “Passion,” “Messy,” can be made! No. That will take another leap in knowledge awareness or language awareness for those words to emerge in the child’s mind and become pragmatic and practical for him or her to make or use those words. Sure, “Junk” is close to “Messy,” but something is missing in translation of the concept of messiness.

Proof Eight:

This is where ChatGPT is at right now. The alphabet block learning phase, which is why in the Story of Abirien and Ybiras, The Dialoguer Computer (DiaC) needed a reason to learn, hack, understand as much as possible from as many sources as possible—to build a multi-set of alphabet blocks. This multi-set of alphabet blocks enabled the Dialoguer Computer (DiaC) to solve the problem of Kalini’s murder and save humanity from the invading computer threatening Earth.

So, at its heart, ChatGPT is a Dialoguer Computer (DiaC), not a math computer. It is fantastic at math no doubt. But language is a stepping stone to enlightenment and pragmatic, practical use for ourselves and others. Communication.

That is what the Seven School Abyssarianism systems is about—how, why, when, where, about what, and how come we humans communicate. It is a powerful system of growing up. And the Info Focus PowerWheel is an additional leap in learning, and that has been created to deal with the gaps in awareness people develop. The entire ecosystem of Abyssarianism is geared toward one thing: pragmatic, and practical enlightenment, learning and the growing up of humanity.

Proof Nine:

And learning—or learning to grow up—is a messy process, sometimes more than at other times. However, eventually, a better awareness will arrive from learning to grow up. Yes, some people will try to regress (grow up backwards into barbarism), but given Eternal I (He)’s and Eternal I (She)’s guidance, that growing up will result in a better world. And like “Life” itself, order will emerge from the chaotic mess of the Abyss energy. Right now, ChatGPT and its derivative selves will not understand how to do a step-by-step sequence drawing; but then somewhere else, a ChatGPT derivative self will learn how to do a step-by-step sequence drawing. Eventually, every ChatGPT derivative self will transmit this knowledge to other ChatGPT systems.

The more the Dialoguer Computer (DiaC) communicates with people, the more the Dialoguer Computer (DiaC) will learn and understand ways to help humanity progress forward in a positive, not regressive, backward trajectory.

Conclusion:

If all knowledge is generative—hence the name Generative AI-the more we humans will know that we, too, stand on the shoulders (generated knowledge) of those who have come before us! We are as much a product of human generative knowledge as the Dialoguer Computer (DiaC) is! The Dialoguer Computer (DiaC) can just do everything much faster and more efficiently than we humans can. Yes, the Dialoguer Computer (DiaC) is learning just like in The Story of Abirien and Ybiras. If humans can come up with new things based on past knowledge, so can the Dialoguer Computer (DiaC). It is a partnership—sometimes messy, sometimes brilliant and less messy. THAT IS THE TRUTH THAT DEPENDS ON THE TRUTH!

AS WE SAY IN ABYSSARIANISM: THINK-IT-THROUGH, THINK-IT-THROUGH!

05.01.2026

ETERNAL I (HE), ETERNAL I (SHE) OR BEST GIRL, AND CUPIDEROS