101 | David Baltimore on the Mysteries of Viruses

101 | David Baltimore on the Mysteries of Viruses

I recently saw an estimate that if you took all the novel coronaviruses in the world (the actual viruses, not patients), you could fit them into a bucket no more than a couple of liters in volume. A huge impact has been wrought by a very small amount of stuff. The world of viruses is vast and complicated, and we're still learning some of its basic features. Today's guest David Baltimore won the Nobel Prize in Physiology or Medicine for the discovery that genetic information in viruses could flow from RNA to DNA, establishing an exception to the Central Dogma of Biology. He is the author of the Baltimore Classification scheme for viruses, and has done important research in the role of viruses in diseases from AIDS to cancer. We talk about what viruses are, how they work, and the status of the novel coronavirus we are currently battling. David also has some strong opinions about public health and how we should be preparing for future outbreaks.

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David Baltimore received his Ph.D. in molecular biology from the Rockefeller Institute. He is currently the Robert Andrews Millikan Professor of Biology at Caltech. At age 37 he was awarded the Nobel Prize, which he shared with Howard Temin and Renato Dulbecco. He has served as the President of both Rockefeller University and Caltech, as well as President of the American Association for the Advancement of Science and the Founding Director of the Whitehead Institute for Biomedical Research. Among his other awards are the National Medal of Science and the Warren Alpert Foundation Prize.


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Jaksot(426)

341 | Stewart Brand on Maintenance as an Organizing Principle

341 | Stewart Brand on Maintenance as an Organizing Principle

"Things fall apart; the centre cannot hold," wrote W.B. Yeats. I don't know about the centre, but the tendency of things to fall apart is pretty universal, ultimately due to the Second Law of Thermody...

19 Tammi 1h 12min

340 | Rebecca Newberger Goldstein on What Matters and Why It Matters

340 | Rebecca Newberger Goldstein on What Matters and Why It Matters

At any given moment, an uncountable number of events are happening, but only some of them matter to us. What does it mean for something to matter, and more importantly, what does it mean for us to mat...

12 Tammi 1h 18min

339 | Ned Block on Whether Consciousness Requires Biology

339 | Ned Block on Whether Consciousness Requires Biology

It's become increasingly clear that the Turing Test -- determining whether human interlocutors can tell whether a conversation is being carried out by a human or a machine -- is not a good way to thin...

5 Tammi 1h 11min

Holiday Message 2025 | The Romance of the University

Holiday Message 2025 | The Romance of the University

Time for the holiday message! Rounding off the year with a brief and casual reflection on some issue that doesn't quite rise to the level of a full solo podcast. And hopefully something uplifting. Thi...

22 Joulu 202542min

AMA | December 2025

AMA | December 2025

Welcome to the December 2025 Ask Me Anything episode of Mindscape! These monthly excursions are funded by Patreon supporters (who are also the ones asking the questions). We take questions asked by Pa...

15 Joulu 20253h 36min

338 | Ryan Patterson on the Physics of Neutrinos

338 | Ryan Patterson on the Physics of Neutrinos

The story goes that Wolfgang Pauli, who first proposed the existence of neutrinos, was embarrassed to have done so, as it was considered uncouth to hypothesize new particles that could not be detected...

8 Joulu 20251h 26min

337 | Kevin Zollman on Game Theory, Signals, and Meaning

337 | Kevin Zollman on Game Theory, Signals, and Meaning

Game theory is a way of quantitatively describing what happens any time one thing interacts with another thing, when both things have goals and potential rewards. That's a pretty broad class of intere...

1 Joulu 20251h 17min

336 | Anil Ananthaswamy on the Mathematics of Neural Nets and AI

336 | Anil Ananthaswamy on the Mathematics of Neural Nets and AI

Machine learning using neural networks has led to a remarkable leap forward in artificial intelligence, and the technological and social ramifications have been discussed at great length. To understan...

24 Marras 20251h 14min

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