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682. Should A.I. Move to Space?

July 24, 2026 • 48m

Summary

⏱️ 10 min read

Overview

This episode explores how AI data centers in space could revolutionize computing and the space economy. Steve Levitt interviews Google's Blaise Aguera y Arcas about the Paradigms of Intelligence team's groundbreaking Project Suncatcher, which aims to launch solar-powered AI data centers into orbit. The discussion covers fundamental questions about intelligence, AI's energy demands, and how satellite technology pioneer Will Marshall is helping make orbital computing a reality.

The Space-Based Infrastructure Revolution

The episode opens by revealing how much of modern life depends on space-based infrastructure, from agriculture to banking to military communications. Will Marshall, a former NASA physicist who founded Planet Labs, explains how he revolutionized satellite technology by recognizing that smartphones contained all the essential components of satellites at a fraction of the cost. This insight led him to build tiny satellites called Doves in a garage, eventually creating a company worth $10 billion with the world's largest constellation of Earth-imaging satellites.

  • Space-based infrastructure is a $300 billion annual industry supporting agriculture, banking, meteorology, military communications, insurance, shipping, disaster management, and broadcasting
  • Marshall questioned why NASA spent $500 million on satellites when smartphones containing similar components cost only $500
  • Planet Labs built their first satellite prototype in a garage and brought it to venture capitalists instead of presenting a PowerPoint deck
  • The company is now publicly traded and worth around $10 billion, with satellites constantly scanning Earth's surface
" Why are we spending 500 million dollars on satellites? What are the extra six zeros doing for us? "
" We leveraged smartphones and we plonked the satellite down on the desk of the venture capitalist that we went to see, as opposed to have any PowerPoint deck. That was certainly a shock to people. "

Understanding Intelligence Through AI

Blaise Aguera y Arcas, who leads Google's Paradigms of Intelligence team, challenges conventional thinking about consciousness and intelligence. He argues that intelligence is fundamentally about prediction and that AI models, despite "just" predicting the next token, demonstrate genuine intelligence. The conversation explores the philosophical zombie problem, the nature of consciousness, and how studying AI helps us understand human intelligence. Aguera y Arcas reveals that both individual AI models and human brains operate as collections of competing voices rather than unified entities.

  • The Paradigms of Intelligence team includes philosophers, neuroscientists, and sociologists studying intelligence across multiple disciplines
  • Intelligence is fundamentally about conditional prediction—predicting outcomes of different actions to choose the best one
  • AI reasoning models develop internal characters that argue with each other, similar to how human brains have competing voices
  • There is no unified 'self' or homunculus making decisions—we are the collection of competing voices
" The moment you start to have something that behaves intelligent, the question like, well, is it really intelligent, is an interesting one to ask. But the trouble with the whole philosophical zombie question is that it's almost like a frontal attack on the whole idea of doing science. "
" What you are is that collection of voices. Many people think of themselves as being very unified, as having just one self. But we know from neuroscience and we know from psychology that your perspective is closer to what is really going on. "
" Intelligence is fundamentally social, both at the scale of brains and societies. "

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