QUALIA INTEL

Exploring AI and cognition in visual essays.

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New project.

Qualia Intel is a personal project translating knowledge advances in AI, cognition, and collaborative intelligence into editorial-style visual essays (Instagram-format) and companion articles (Substack). It sits at the intersection of form, science, and social commentary. Both a research exploration and a creative practice, Qualia experiments with hybrid workflows and AI-generated visuals. It is, quite simply, where my interests and skills come together.

 
 

  • From research papers to public debates, Qualia draws out questions that matter for how we interact with AI, and translates them into narratives built for reflection and dialogue.

  • Qualia connects ideas across disciplines and surfaces the links that make them useful for thinking, and working with AI.

  • When ideas take shape on a screen, visuals do more than decorate. Qualia experiments with design and AI tools to build carousels that clarify, question, and occasionnally surprise.

 
 
View fullsize (Expanded) Quick guess: What percentage of UN member states are African? Got a number? Good. Now, the real question: was that your logic, or was it subtly hijacked by a random digit you were exposed to right before, maybe the time, or a price tag, .
View fullsize No easy answers, just questions worth asking together. This carousel is my small attempt to map a problem far bigger than any slide can hold: how AI-generated visuals collide with memory, trust, and visual evidence. It started from a Leica-organize
View fullsize Updated breakdown. The mechanics of confirmation bias. AI can shrink our world or expand it, depending on whether we develop metacognitive skills. ▪️▪️▪️ *The DeBiasMe project (2025) is an educational AI tool that helps students recognize cogniti
View fullsize (Edited - prompts section) Who else caught themselves getting too comfortable with AI telling them what they want to hear? I was looking for a buddy that actually helps me think better, not just feel good about thinking poorly. I looked into the i
View fullsize ❤️ Welcome to your unsolicited philosophy lecture, swipe left to be confused. ▪️▪️▪️ Short post, probably not very sweet, but meant to linger. In other words, a starting point for a series. It’s about the ineffable: what it’s like to
View fullsize 📙 FOUNDATIONAL reading. This one sets the stage. But the slides are a little… unhinged. And the keywords on the side? At this point, they’re just deluxe ornaments. If you like your neurons in order, you might prefer the deep-cut edi
View fullsize 👉 3 things about your "thinking" partner: ▪️Multilingual? More like cross-lingual. ▪️Poetry proves it: your AI is a plotter, not a parrot. ▪️Beware: Claude can build logical castles on questionable foundations. Like mapping the brain'

Socio-technical challenges: the most pressing questions about AI are human.

Socio-technical challenges: the most pressing questions about AI are human.

How we think, co-think, and imagine with AI.

In-depth exploration of human-AI cognitive interaction, examining how AI (re)shapes our thinking processes and how we can maintain intellectual autonomy while leveraging machine intelligence.

— The cognitive subject

Augmented creation, collaboration, and control in the age of AI.

Socio-technical angle. The political economy and social dynamics of AI creation. Who builds, owns and governs those systems, and how power flows through augmented creation.

— Making and Power

AI’s next chapter.

The frontier research that hasn't settled yet. From mechanistic interpretability to the philosophy of mind: following the scientists and thinkers working at the edge of what we actually know about intelligence.

— The open question