The New Renaissance: AI, Human Imagination, and the Power of Creating New Realities

Throughout history, human understanding has been shaped by four distinct categories of knowledge:

• Assumed Truths → The things we know we know—our foundations, the stable ground upon which civilization is built.
• Unknowns → The things we know we don’t know—the boundaries of our ignorance, the questions we have yet to answer.
• Secrets → The things we didn’t know we knew—hidden patterns, subconscious insights waiting to be uncovered.
• Mysteries → The things that remain in the dark, not because they are unknowable, but because we don’t even realize they exist.

For centuries, progress has been defined by our ability to push back the boundaries of the unknown, often through slow, painstaking discovery. But now, with the rise of artificial intelligence, the entire structure of knowledge is undergoing a radical shift.

The Three Waves of AI: From Assumed Truths to Secrets

First Wave: The Commoditization of Assumed Truths

The first wave of AI is already here. Large Language Models (LLMs) and AI agents are revolutionizing how we manage assumed truths—automating knowledge, optimizing decisions, and accelerating productivity. These models are powerful, but they operate within existing frameworks. They do not create new knowledge; they reorganize what is already known.

Because of this, they will inevitably become commodities. Much like the early days of electricity or search engines, competition will drive down costs, and AI-generated information will be embedded into everything. The real economic and intellectual value will not be in the models themselves, but in what comes next.

Second Wave: Solving the Unknowns

Beyond automation, AI will begin addressing unknowns—problems that humanity has long recognized but has been unable to solve.

• Programming Proteins → AI will not just analyze biological data; it will design life at the molecular level, creating new types of agriculture, regenerative medicine, and personalized treatments.
• Solving Energy Bottlenecks → AI-driven models will help stabilize nuclear fusion, optimizing reactor designs, predicting plasma behavior, and overcoming the chaotic instabilities that have held back the energy revolution.
• Reengineering Infrastructure → AI will drive autonomous transportation systems, smart cities, and climate adaptation strategies, reshaping human civilization at its core.

These applications will take longer to mature, but unlike LLMs, they cannot be easily replaced. They require deeper integration into real-world systems, making them the foundation of a long-term AI-driven economy.

Third Wave: Discovering Secrets and Creating New Representations

The real transformation will come when AI begins to unearth secrets—hidden truths embedded in data, complex patterns invisible to the human mind, and subconscious knowledge waiting to be revealed.

But discovering secrets is not just about data processing. It requires the fusion of AI’s analytical power with human creativity. This is where the Renaissance begins. The ability to create new representations of reality—new ontologies—is uniquely human.

History has shown that true revolutions do not come from more information but from restructuring how we perceive reality. The Copernican shift did not add new planets to the sky—it redefined our place in the cosmos. The discovery of quantum mechanics did not change matter—it changed our understanding of it.

The AI-human interaction will create a similar ontological leap, allowing us to build entirely new conceptual frameworks that expand the way we think about physics, biology, economics, and even consciousness itself.

The Role of Mysteries: The Unpredictable Beauty of Black Swans

And yet, despite all our progress, mysteries will always exist.

No matter how powerful AI becomes, there will always be Black Swans—events that reshape our world in ways we never anticipated. These mysteries are not failures of intelligence; they are essential to progress. They expand our space of representation, forcing us to question our assumptions and discover new possibilities.

This is why we must remain epistemologically humble.

We are entering an age where knowledge is accelerating at an unprecedented rate. But if we become overconfident—if we believe AI will answer everything—we risk missing the true opportunities for abundance hidden in the secrets of the universe.

The Future: Creating Abundance with the Secrets of the Universe

The first wave of AI will be absorbed into the background, commoditized like electricity or the internet. The second wave will reshape industries, but the real Renaissance lies in the AI-human interaction—a fusion that unlocks the boundless capacity of human imagination.

To seize this potential, we must rethink how we educate ourselves.

• We have been trained to provide answers. AI now does that faster and better.
• We must now train ourselves to ask the right questions—to think critically, to design experiments, to create new representations of reality.

In the age of AI, those who cling to static knowledge will be left behind. Those who master the art of creating new realities, embracing the unknown, and remaining humble in the face of mystery will define the next era of human history.

Thanks for reading ,?

Guillermo Valencia A

Co Founder of Macrowise

February 11th , 2025