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By Engel Fonseca, entrepreneur, technology leader and cognitive neuroscientist · Founder of N3 Labs

Every artificial intelligence carries the imprint of the thinking system of whoever drives it. Why using only one is dangerous, how to protect your HTS and how to use AI to scale your own way of thinking.

Are we creating or discovering?

We are obsessed with the idea that we are creating. From my Creaxoma framework, we are actually discovering: what we call creation is the way a mind finds, connects and orders something that was already there.

Yet we can’t deny one thing: whoever manages to drive a technology like artificial intelligence is projecting an extension of their mind. It is like a spider weaving an enormous, expansive web that collects, captures and scales a person’s way of thinking. Each thread is a design decision; each node, a criterion; each area the web doesn’t cover, a blind spot.

In AI to Complement HTS with ATS we argued that the Artificial Thinking System (ATS) reaches its greatest scale when guided by an HTS. This article asks the reverse question: whose HTS is already guiding the AI you use every day?

The creator’s imprint: Copilot and Grok

In the ATS breakdown of the leading AI tools we mapped the Artificial Thinking System of six assistants in four layers: principles (what it prioritizes), filters (what it lets through and what it blocks), patterns (how it processes) and reactivity (how it responds under pressure). The cover animation takes two of them and places them next to the figures most associated with their companies. Let’s see how much they resemble each other.

Copilot (Microsoft) and Bill Gates’ HTS

Thinking type: executive-procedural. Analogous brain network: frontoparietal network + basal ganglia. In one sentence: executes step by step inside your work.

Grok (xAI) and Elon Musk’s HTS

Thinking type: disruptive-explorer. Analogous brain network: salience network + dopaminergic system. In one sentence: breaks consensus in real time.

This is not about claiming one person wrote every line of code. It is something subtler: a leadership’s culture, values and fears become the product’s principles, filters and patterns. AI is not born in a vacuum; it is born inside an organization’s HTS.

Danger 1: using only one AI means adopting a single bias

If every AI carries the imprint of its creator’s thinking system, using only one means always thinking through the same filter. Without noticing, you start prioritizing what that AI prioritizes, discarding what it discards and phrasing your questions the way it has taught you to.

Over time the bias stops being the tool’s and becomes yours. That is what we call the hybrid system HTS+A: your way of thinking plus the AI’s, added and amplified. Using several AIs works like a second medical opinion: when two systems with different biases agree, the conclusion is stronger; when they differ, you learn where the blind spot is.

Danger 2: you hand your thinking system to a single source

The second risk is less visible and deeper. When you use one AI for everything, you don’t just give it information about your work or what you do. You give it your thinking system: how you ask, what worries you, which decisions you doubt, which values you defend and which fears you have. It is the most intimate map a person can share, and it ends up concentrated in a single source.

That’s why my personal recommendation is clear:

• Use different AIs depending on the task, and don’t give any of them the full picture of your life and work.
• Don’t use your real name everywhere. I use a pseudonym and several alternate names for different activities, precisely to protect and foster my privacy. Do it where each platform’s terms allow.
• Share only the context needed for each question.
• Check each tool’s privacy settings, especially whether your conversations are used to train models.
• Separate personal from corporate: business accounts usually have different data rules than personal ones.

Your HTS is your most valuable asset. Protecting it is not distrusting technology: it is using it consciously.

The other side: using AI to scale the way you think

Recognizing the creator’s bias is not an invitation to stay away from AI. Quite the opposite: it is an invitation to be the one guiding the ATS, instead of being guided by someone else’s HTS.

If whoever drives an AI can extend their mind at scale, so can you, to your own measure. AI can be the tool to transcend the singularity of your mind —the unique way it is wired— and turn it into value at scale.

Picture the scenario in your company

You have a way of thinking and a modus operandi. You have already distilled your HTS with the Thinktech method: your thoughts, feelings, paradigms, fears and values. Now you use artificial thinking systems (ATS) to scale it and provide access, temporarily and under control, to your way of operating, your knowledge and, above all, your way of solving problems. The result: the company works faster and better, with your judgment and not a vendor’s.

That is how the agents described in Why Orchestra Agents Matter for the C-Suite work: an orchestrator that inherits its director’s HTS, with an expiration date, consent and clear ownership rules.

Frequently asked questions

Does artificial intelligence carry its creators’ biases?

Yes. Every AI inherits principles, filters and priorities defined by the people and leadership who designed it. In the Thinktech method this is called the imprint of the creator’s HTS on the tool’s ATS.

Is it dangerous to use only one AI?

Yes, for two reasons: you adopt a single bias as if it were neutral, and you concentrate in one source not only your work information but your thinking system: how you ask, what worries you and how you decide.

How do I protect my privacy when using AI?

Use several AIs depending on the task, share only the context needed, check whether your conversations are used to train models and, where each platform’s terms allow it, use a pseudonym or an alternate name per activity.

What are HTS and ATS?

The HTS (Human Thinking System) is a person’s cognitive, ethical and methodological architecture. The ATS (Artificial Thinking System) is how an AI prioritizes, filters, processes and reacts. Value appears when the HTS guides the ATS.

Can I use AI to scale the way I think?

Yes. If you distill your HTS and use it to guide artificial thinking systems, your way of solving problems can be made available to your team in a temporary, controlled way, so the company works faster and better.

Is there an AI without bias?

No. Research on the “bias blind spot” shows people detect bias in others more easily than in themselves. Believing that an AI or a person has no bias is already a bias.

Conclusion: believing you have no bias is already a bias

Even if artificial intelligence seems impersonal, we can’t deny that someone, or many someones, are behind it. People with biases, blind spots, fears and taboos. It is impossible for their creation not to be imbued with them, and impossible for us not to be imbued when we use it.

That is why the scientific community insists on recognizing that we all have biases. Psychologist Emily Pronin and her team described it as the bias blind spot: we easily see biases in others and almost never our own. In other words, believing you have no bias is already a bias.

Any AI you use already carries an implicit bias from its creator. Do you doubt it?

The first step to avoid being trapped in someone else’s bias is knowing your own.

Know your HTS before an AI shapes it for you
Take the Mapa SPH (HTS Map) at n3.potenttial.com/mapa-sph →
The tool is currently available in Spanish.

Sources: Pronin, E., Lin, D. Y. & Ross, L. (2002). “The Bias Blind Spot: Perceptions of Bias in Self Versus Others.” Personality and Social Psychology Bulletin, 28(3). Associated Press, “Musk’s latest Grok chatbot searches for billionaire mogul’s views before answering questions” (Jul. 11, 2025). Business Insider (Apr. 2024) and Microsoft’s statement, via Laptop Mag. Bill Gates, “The Age of AI has begun” (2023). The ATS of each AI is an N3 Labs hypothesis built from public documentation.