ABOUT THIS PODCAST 🔗
🌌 Science in Perspective
Science in Perspective examines what research actually shows, not what headlines say it shows. Each episode starts from real work and asks what patterns remain when the hype is stripped away. The focus is on the organizing principles that recur across various domains of science, and on why those principles so rarely survive the journey from journal to public conversation.
Become a Member at dekyon.io/seanmcclure/science-in-perspective
Premium members 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.
Hosts:
Update frequency:
every 5 days
Average audio length:
36 minutes
Has sponsors
English
United States
32 episodes
since Aug. 17, 2024
episodic
LATEST EPISODE 🔗
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 n…
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PREVIOUS EPISODES 🔗
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…
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 rogu…
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 …
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 n…
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-fac…
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 enti…
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…
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 mos…
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 …
Disclaimer: The podcast and artwork embedded on this page are from Sean McClure, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
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