The best defense against nuclear weapons is nuclear weapons, according to the logic of deterrence. It has guided US defense policy for nearly 80 years. So, shouldn’t more nukes prevent nuclear war even more?

For the first time since the Cold War, that argument is gaining momentum at the highest levels of US government. There is a push to build more nukes, different nukes, and new kinds of nukes. Russia, China, and North Korea are expanding their arsenals — Washington is mulling whether the US must keep up. Former senior Pentagon official Vipin Narang makes the case for more nukes to Ben Bradford, who follows it down a rabbit hole of deterrence, escalation, plans to “win” nuclear war, and the face-palming, growing problem of little wee baby “tactical” nukes.

In nuclear strategy, is the only answer to “too many doomsday weapons,” more doomsday weapons? And, is that sustainable?

Guest:

Vipin Narang, former Acting Assistant Secretary of Defense, nuclear security and political science professor at MIT.

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Other episodes about nukes:
How to Start a Nuclear War
How to Survive a Nuclear War

A bizarre cyberattack on an AI company, it was revealed last week, came from an AI. An autonomous “agent” from OpenAI (maker of ChatGPT) slipped its confines, reached the open internet, breached the security of another company, Hugging Face, and grabbed files — all to cheat on its test. Depending on who you ask, that is either a terrifying preview of AI systems slipping beyond human control or a very dumb engineering failure. And it wasn’t even the only “rogue AI cyberattack” of the week. In an emergency episode, Ben Bradford follows three conflicting versions of the same story. What actually happened? What’s the right level of panic? And, what does this weird little cyberattack reveal about the future?

Guests:

Roman Yampolskiy, computer scientist, University of Louisville

Davi Ottenheimer, cybersecurity specialist, flyingpenguin

Adam Gleave, AI safety researcher, FAR.AI

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Listen to our full episode about rogue AI fears: We Design the AI That Kills Us All

For more than a century, science fiction has imagined cyborgs: humans fused with machines to outrun the limits of the body. They show up in Edgar Allan Poe, in the gleaming menace of Darth Vader, in Halo’s armored supersoldiers, and in the body horror of cyberpunk. So where are they?

Ben Bradford sets out to make a whimsical episode about why the cyborgs never arrived, and instead finds the technology that could build them already underway: military enhancement programs, brain-computer interfaces, AI brain-chip ventures from Elon Musk and Sam Altman, and wearables that can read signals from outside your skull. The question might not be whether cyborgs are coming, but whether we’ll recognize the path before we’re among them.

Guests:

Laura Cabrera, engineering and philosophy professor at Penn State University

Emily Mullin, biotechnology reporter at WIRED

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