Crazy Wisdom
Episode #449: The Strange Loop: How Biology and Computation Shape Each Other
- CRISPR memory
- bacterial immunity
- reasoning in AI
- large language models
- structural biology
- computational biology
- drug discovery
- evolutionary systems
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Timestamps
Key Insights
- CRISPR as a memory system – Rather than viewing CRISPR solely as a gene-editing tool, German Jurado frames it as a memory architecture—an evolved mechanism through which bacteria store fragments of viral DNA as a kind of immune memory. This perspective shifts CRISPR into a broader conceptual space, where memory is not just cognitive but deeply biological.
- AI models as pattern recognizers, not yet reasoners – While large language models can mimic reasoning impressively, Jurado suggests they primarily excel at statistical pattern matching. The distinction between reasoning and simulation becomes central, raising the question: are these systems truly thinking, or just very good at appearing to?
- The loop between computation and biology – One of the core themes is the strange feedback loop where biology inspires computational models (like neural networks), and those models in turn are used to probe and understand biological systems. It's a recursive relationship that’s accelerating scientific insight but also complicating our definitions of intelligence and understanding.
- Scientific discovery as embodied and intuitive – Jurado highlights that real science often begins in the gut, in a kind of embodied intuition before it becomes formalized. This challenges the myth of science as purely rational or step-by-step and instead suggests that hunches, sensory experience, and emotional resonance play a crucial role.
- Proteins as computational objects – Proteins aren’t just biochemical entities—they’re shaped by information. Their structure, function, and folding dynamics can be seen as computations, and tools like AlphaFold are beginning to unpack that informational complexity in ways that blur the line between physics and code.
- Human alignment is messier than AI alignment – While AI alignment gets a lot of attention, Jurado points out that human alignment—between scientists, institutions, and across cultures—is historically chaotic. This reframes the AI alignment debate in a broader evolutionary and historical context, questioning whether we're holding machines to stricter standards than ourselves.
- Standing on the shoulders of evolutionary processes – Evolution is not just a backdrop but an active epistemic force. Jurado sees scientists as participants in a much older system of experimentation and iteration—evolution itself. In this view, we’re not just designing models; we’re being shaped by them, in a co-evolution of tools and understanding.
Episode transcript
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Welcome to the Crazy Wisdom Podcast. I've got Herman Hurado here, and he is a student studying bioinformatics at uba, the university here in Buenos Aires. We've done a podcast in Spanish before, but I was thinking we could do it in English because he. He is studying something so interesting and I want to learn more about it. And he's also an AI whisperer, so also has some interesting insight into how AI and biology are going to intersect. Welcome to the show.
Hi. Thank you. Thank you very much. Thank you for inviting me today. As Estuar said, I'm German. I'm Germana. I'm a student at the University of Buenos Aires. I study bioinformatics and computational biology, and I'm currently at the bioinformatics lab at Institute of Calculus.
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