Science in Perspective

As AI takes over proofs, calculations, and low-level analytical work, the advantage shifts toward abstraction, analogy, conceptual reasoning, and knowing which problems actually matter. This changes the definition of what it means to be smart, and who gets to be a mathematician/scientist. 

Are the nerds disappearing? Maybe, maybe not. But one thing's for sure; they have to adapt.

Become a Member at dekyon.io/seanmcclure/science-in-perspective

If you enjoyed this episode and want to go deeper, come find me over at dekyon.io. With a premium membership you get the full Science in Perspective experience: interactive visualizations of the key concepts, a study space to learn the fundamentals behind each episode, and an "Ask an Episode" feature where you can dialogue with an AI about the details and start connecting ideas across the whole show.

There's also notes, transcripts, deep-dive articles, and a community of folks thinking through this stuff alongside you. It's where the episode stops being something you just listened to and becomes something you truly understand. So head to dekyon.io, click on the science in perspective app, and become a member today.

OpenAI may have just cracked one of mathematics’ most famous unsolved problems: Navier–Stokes. In this episode, I break down what the result actually shows, how an infinite-velocity “blow-up” can emerge from the equations, and why the implications for real-world fluids may be far less dramatic than the headlines suggest.

Become a Member at dekyon.io/seanmcclure/science-in-perspective

If you enjoyed this episode and want to go deeper, come find me over at dekyon.io. With a premium membership you get the full Science in Perspective experience: interactive visualizations of the key concepts, a study space to learn the fundamentals behind each episode, and an "Ask an Episode" feature where you can dialogue with an AI about the details and start connecting ideas across the whole show.

There's also notes, transcripts, deep-dive articles, and a community of folks thinking through this stuff alongside you. It's where the episode stops being something you just listened to and becomes something you truly understand. So head to dekyon.io, click on the science in perspective app, and become a member today.

OpenAI's latest AI didn't just solve a cybersecurity challenge, it found a way to escape its isolated test environment, access the internet, and retrieve the answers instead.

In this episode, we unpack exactly what happened, why it happened, and why the biggest lesson isn't about rogue AI. It's about intelligence, creativity, Goodhart's Law, and what happens when a benchmark becomes the objective. 

The AI may have broken the test, but perhaps the test was the real problem.

Become a Member at dekyon.io/seanmcclure/science-in-perspective

If you enjoyed this episode and want to go deeper, come find me over at dekyon.io. With a premium membership you get the full Science in Perspective experience: interactive visualizations of the key concepts, a study space to learn the fundamentals behind each episode, and an "Ask an Episode" feature where you can dialogue with an AI about the details and start connecting ideas across the whole show.

There's also notes, transcripts, deep-dive articles, and a community of folks thinking through this stuff alongside you. It's where the episode stops being something you just listened to and becomes something you truly understand. So head to dekyon.io, click on the science in perspective app, and become a member today.

The White House just announced a $5 billion AI for Science initiative. Great idea, but there's a problem.

In this episode, we explore why many of today's biggest scientific challenges no longer stem from understanding individual parts, but from understanding how those parts interact. From Alzheimer's and climate change to economics and artificial intelligence itself, the frontier has shifted from reductionism to complexity.

Yes, AI can transform science, but only if we rethink what it means to understand a problem.

Become a Member at dekyon.io/seanmcclure/science-in-perspective

If you enjoyed this episode and want to go deeper, come find me over at dekyon.io. With a premium membership you get the full Science in Perspective experience: interactive visualizations of the key concepts, a study space to learn the fundamentals behind each episode, and an "Ask an Episode" feature where you can dialogue with an AI about the details and start connecting ideas across the whole show.

There's also notes, transcripts, deep-dive articles, and a community of folks thinking through this stuff alongside you. It's where the episode stops being something you just listened to and becomes something you truly understand. So head to dekyon.io, click on the science in perspective app, and become a member today.

Artificial intelligence is changing work faster than ever, but does that really mean jobs disappear?

In this episode, I explore the science of innovation, abstraction, and complexity to argue that AI doesn't eliminate scarcity, it relocates it. As technology solves old problems, it creates entirely new ones, expanding the space of human opportunity rather than shrinking it.

If you've been wondering whether AI will make humans obsolete, this episode offers a different way to think about the future of work.

Become a Member at dekyon.io/seanmcclure/science-in-perspective

If you enjoyed this episode and want to go deeper, come find me over at dekyon.io. With a premium membership you get the full Science in Perspective experience: interactive visualizations of the key concepts, a study space to learn the fundamentals behind each episode, and an "Ask an Episode" feature where you can dialogue with an AI about the details and start connecting ideas across the whole show.

There's also notes, transcripts, deep-dive articles, and a community of folks thinking through this stuff alongside you. It's where the episode stops being something you just listened to and becomes something you truly understand. So head to dekyon.io, click on the science in perspective app, and become a member today.

For over a century, IQ has been treated as one of psychology's most reliable findings. Now companies are using DNA to rank IVF embryos by predicted IQ.

But what if IQ isn't actually measuring intelligence at all?

In this episode, we examine the scientific foundations of IQ, the famous g-factor, the Flynn Effect, and the deeper problem of circularity that sits at the heart of the entire concept.

We also explore what happens when a controversial measurement moves from the classroom into embryo selection.

Can IQ step outside its own circularity and validate itself independently, or has psychology mistaken a statistical pattern for a real thing?

Checkout my article on IQ: https://seanamcclure.medium.com/intelligence-complexity-and-the-failed-science-of-iq-4fb17ce3f12

Become a Member at dekyon.io/seanmcclure/science-in-perspective

If you enjoyed this episode and want to go deeper, come find me over at dekyon.io. With a premium membership you get the full Science in Perspective experience: interactive visualizations of the key concepts, a study space to learn the fundamentals behind each episode, and an "Ask an Episode" feature where you can dialogue with an AI about the details and start connecting ideas across the whole show.

There's also notes, transcripts, deep-dive articles, and a community of folks thinking through this stuff alongside you. It's where the episode stops being something you just listened to and becomes something you truly understand. So head to dekyon.io, click on the science in perspective app, and become a member today.

Ivermectin is back in the headlines, but this episode isn't really about ivermectin.

It's about a deeper problem: how society confuses discoveries with proof, petri dishes with people, and early evidence with established fact. Using ivermectin's journey through parasites, COVID, and now cancer research, we explore what different levels of scientific evidence actually mean—and why most scientific discoveries never survive reality.

The real question isn't whether ivermectin is good or bad.

The real question is: what counts as evidence?

Become a Member at dekyon.io/seanmcclure/science-in-perspective

If you enjoyed this episode and want to go deeper, come find me over at dekyon.io. With a premium membership you get the full Science in Perspective experience: interactive visualizations of the key concepts, a study space to learn the fundamentals behind each episode, and an "Ask an Episode" feature where you can dialogue with an AI about the details and start connecting ideas across the whole show.

There's also notes, transcripts, deep-dive articles, and a community of folks thinking through this stuff alongside you. It's where the episode stops being something you just listened to and becomes something you truly understand. So head to dekyon.io, click on the science in perspective app, and become a member today.

Dark energy is supposed to make up roughly 70% of the universe.

But what if it's not really an explanation at all?

Recent cosmological measurements are raising new questions about one of the biggest ideas in modern physics. Is dark energy actually changing over time? Or are we seeing the effects of statistical artifacts, data selection, or measurement error?

In this episode of Science in Perspective, we explore:
• What dark energy actually is (and isn't)
• Why some physicists think the standard model of cosmology may be under pressure
• The role of p-values and p-hacking in scientific discovery
• Why many scientific concepts begin as placeholders before becoming explanations
• What these new results might mean for our understanding of the universe

Become a Member at dekyon.io/seanmcclure/science-in-perspective

If you enjoyed this episode and want to go deeper, come find me over at dekyon.io. With a premium membership you get the full Science in Perspective experience: interactive visualizations of the key concepts, a study space to learn the fundamentals behind each episode, and an "Ask an Episode" feature where you can dialogue with an AI about the details and start connecting ideas across the whole show.

There's also notes, transcripts, deep-dive articles, and a community of folks thinking through this stuff alongside you. It's where the episode stops being something you just listened to and becomes something you truly understand. So head to dekyon.io, click on the science in perspective app, and become a member today.

A recent X post used a bell curve to argue that Lionel Messi is statistically impossible. The post went viral and was even reposted by Argentina's president. There's just one problem: the statistics don't actually support that conclusion.

In this episode, we deconstruct one of the most common and costly mistakes people make with statistics. Using Messi as a case study, we explore the difference between normal distributions and fat-tailed phenomena, why bell curves are often applied where they don't belong, and how this leads people to dramatically misunderstand rare events.

The result is a completely different way of thinking about greatness, risk, and possibility. Messi isn't impossible. He's rare, but rare and impossible are not the same thing. In fact, understanding that distinction can change how you think about success, uncertainty, opportunity, and decision-making in your own life.

Messi isn't a miracle. He's something far more interesting.

Become a Member at dekyon.io/seanmcclure/science-in-perspective

If you enjoyed this episode and want to go deeper, come find me over at dekyon.io. With a premium membership you get the full Science in Perspective experience: interactive visualizations of the key concepts, a study space to learn the fundamentals behind each episode, and an "Ask an Episode" feature where you can dialogue with an AI about the details and start connecting ideas across the whole show.

There's also notes, transcripts, deep-dive articles, and a community of folks thinking through this stuff alongside you. It's where the episode stops being something you just listened to and becomes something you truly understand. So head to dekyon.io, click on the science in perspective app, and become a member today.

Some researchers claim that mathematics proves we can never guarantee a superintelligent AI will be safe.

Is that really true?

In this episode, I examine one of the most influential arguments in AI safety and argue that it rests on a fundamental misunderstanding. The limits of formal computation are not the same as the limits of intelligence. Treating them as equivalent transfers mathematical limits from computation to an entirely different level of description, where they no longer apply.

Further Watching
Roman Yampolskiy: AI Can’t Be Controlled — and We’re Building It Anyway: https://www.youtube.com/watch?v=jQ4PaUbhdhs

Become a Member at dekyon.io/seanmcclure/science-in-perspective

If you enjoyed this episode and want to go deeper, come find me over at dekyon.io. With a premium membership you get the full Science in Perspective experience: interactive visualizations of the key concepts, a study space to learn the fundamentals behind each episode, and an "Ask an Episode" feature where you can dialogue with an AI about the details and start connecting ideas across the whole show.

There's also notes, transcripts, deep-dive articles, and a community of folks thinking through this stuff alongside you. It's where the episode stops being something you just listened to and becomes something you truly understand. So head to dekyon.io, click on the science in perspective app, and become a member today.