Show Notes
What if the ideas that linger in the back of your mind — the ones you can’t quite explain — are the ones you most need to pay attention to?
Episode Summary In this episode, I explore that question with Dr Nuno Reis, a former physicist and investment banker turned thinker and guide in uncovering what he calls rare dots — those unique, pre-verbal insights that feel deeply resonant but don’t yet fit into our existing models of the world.
Our conversation begins with Nuno’s unusual career path, from string theory and theoretical physics into financial modelling and risk management, before moving into transparency roles in finance. From there, we trace the thread of his enduring curiosity: how crises drive paradigm shifts, why models are useful but limited, and what happens when we acknowledge that not everything fits into neat rational frameworks.Nuno then introduces the concept of rare dots and explains how he’s harnessing AI in a novel, deeply human way: not to replace thought, but to help us surface the preverbal ideas that shape our uniqueness. Together, we explore how rare dots can guide creativity, meaning, and innovation in our work and lives — and why paying attention to the things that don’t quite make sense may be the most sensible thing we can do.
Guest Biography Dr Nuno Reis describes himself as a physicist turned banker turned explorer of human thinking. After completing a PhD in theoretical physics with a focus on string theory, he transitioned into investment banking at UBS and later into financial engineering and transparency initiatives at Bloomberg.
Over 18 years in finance, he applied scientific methods to risk modelling, hedging, and complex derivatives, all while maintaining a deep curiosity about the limits of logic and models.
Today, Nuno is the creator of the Rare Dots framework, which helps individuals and organisations uncover the pre-verbal insights that drive creativity and meaning. He combines philosophy, history of thought, and cutting-edge uses of AI to build environments where people can explore their deepest intuitions.
Through workshops, cohorts, and his own practice, he guides others in turning those rare dots into pathways for innovation, purpose, and contribution.
AI-Generated Timestamped Summary [00:00:00] Introduction and framing of rare dots as preverbal insights [00:01:00] Nuno’s background: from physics to banking and financial modelling [00:06:00] Applying scientific methods to markets and the 2008 crisis [00:12:00] Replication crisis and paradigm shifts in science [00:18:00] Early story of curiosity and existential questions [00:21:00] Introduction of rare dots as deeply resonant insights [00:26:00] How resonance and intuition shape meaning [00:30:00] Creating environments to surface rare dots [00:35:00] History of thinking vs history of ideas [00:40:00] Using AI as a tool for rare dots and Wittgenstein’s ladder [00:46:00] How AI can surface pre-verbal thinking [00:52:00] AI as a prompt for deeper human thinking [00:56:00] Rare dots exploration as an infinite game [01:02:00] Rare dots as a guide for careers and human value
Links Nuno on LinkedIn - https://www.linkedin.com/in/nuno-reis/ Nuno's Substack - https://nunobreis.substack.com/
More from The Human Risk Podcast
What does it actually take to prevent sexual harassment at work? Policies, training, reporting mechanisms and statements of zero tolerance are one thing. Creating a workplace where sexual harassment is genuinely less likely to happen is something else entirely.
What can financial markets teach us about human behaviour? Why might the size of a CEO’s signature tell us something useful about the company they run? And why, even when smart investors know something is probably a bubble, might they keep investing anyway?
What if understanding regulation could help us spot when politicians are promising the impossible? Regulation sounds simple in theory. Something poses a risk, so we create rules and a regulator to control it. In practice, things get complicated very quickly. It's something we all benefit from, but equally can experience as redtape that prevents us from doing what we think we ought to be able to.
What if AI could help us understand people better, rather than simply replacing what humans do?
What’s the last thing you learned simply because you wanted to know?