71. Ben Garfinkel - Superhuman AI and the future of democracy and government

71. Ben Garfinkel - Superhuman AI and the future of democracy and government

As we continue to develop more and more sophisticated AI systems, an increasing number of economists, technologists and futurists have been trying to predict what the likely end point of all this progress might be. Will human beings be irrelevant? Will we offload all of our decisions — from what we want to do with our spare time, to how we govern societies — to machines? And what is the emergence of highly capable and highly general AI systems mean for the future of democracy and governance?

These questions are impossible to answer completely and directly, but it may be possible to get some hints by taking a long-term view at the history of human technological development. That’s a strategy that my guest, Ben Garfinkel, is applying in his research on the future of AI. Ben is a physicist and mathematician who now does research on forecasting risks from emerging technologies at Oxford’s Future of Humanity Institute.

Apart from his research on forecasting the future impact of technologies like AI, Ben has also spent time exploring some classic arguments for AI risk, many of which he disagrees with. Since we’ve had a number of guests on the podcast who do take these risks seriously, I thought it would be worth speaking to Ben about his views as well, and I’m very glad I did.

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Jaksot(130)

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130. Edouard Harris - New Research: Advanced AI may tend to seek power *by default*

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128. David Hirko - AI observability and data as a cybersecurity weakness

128. David Hirko - AI observability and data as a cybersecurity weakness

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127. Matthew Stewart - The emerging world of ML sensors

127. Matthew Stewart - The emerging world of ML sensors

Today, we live in the era of AI scaling. It seems like everywhere you look people are pushing to make large language models larger, or more multi-modal and leveraging ungodly amounts of processing pow...

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126. JR King - Does the brain run on deep learning?

126. JR King - Does the brain run on deep learning?

Deep learning models — transformers in particular — are defining the cutting edge of AI today. They’re based on an architecture called an artificial neural network, as you probably already know if you...

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125. Ryan Fedasiuk - Can the U.S. and China collaborate on AI safety?

125. Ryan Fedasiuk - Can the U.S. and China collaborate on AI safety?

It’s no secret that the US and China are geopolitical rivals. And it’s also no secret that that rivalry extends into AI — an area both countries consider to be strategically critical. But in a context...

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124. Alex Watson - Synthetic data could change everything

124. Alex Watson - Synthetic data could change everything

There’s a website called thispersondoesnotexist.com. When you visit it, you’re confronted by a high-resolution, photorealistic AI-generated picture of a human face. As the website’s name suggests, the...

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123. Ala Shaabana and Jacob Steeves - AI on the blockchain (it actually might just make sense)

123. Ala Shaabana and Jacob Steeves - AI on the blockchain (it actually might just make sense)

Two ML researchers with world-class pedigrees who decided to build a company that puts AI on the blockchain. Now to most people — myself included — “AI on the blockchain” sounds like a winning entry i...

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