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Your home is full of technological miracles, devices that your ancestors would have regarded as near magic because of the life of relative ease they provide us with. However, something is changing. In the past, we got richer by owning more stuff; but in the future, we will have more by owning less.
In this final episode of Building Tomorrow, Paul talks with Cory Doctorow, Michael Munger, Ruth Cowan, and Chelsea Follett about the past, present, and future of material possession.
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If you're the kind of person who carefully sorts out your recyclables from your trash, cleans it, and puts it out in the blue bin for pickup, you probably don't realize that as much as 90% of that material either just ends up in a landfill or, worse, is dumped into the ocean. Indeed, much of the plastic litter in the Pacific Ocean is the result of our well-intentioned but misplaced efforts at recycling since the 1990s.
In this episode, we talk to an environmental economist, landfill scientist, and blockchain engineer about the future of our waste. We can efficiently sort and store our plastics in landfills for future mining operations, incentivizing good behavior via cryptocurrency rewards. We can incinerate our waste in hyper-efficient facilities that power cities and reduce our carbon footprint. Building Tomorrow means building more and better landfills.
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People are afraid. Afraid that they are consuming too much, emitting too much, having too many kids, and running the planet into the ground. Eight billion people seems like too many. But a growing number of experts are sounding the alarm that a far worse problem is on the horizon, an underpopulation crisis. People are having fewer kids and countries are aging. For example, by the end of the century Japan will halve its population. Those who remain will be older and poorer. We need more people, not fewer, if we want to find innovative solutions to climate change and resource crunches.Â
For music attributions see: https://www.libertarianism.org/podcasts/building-tomorrow/underpopulation-crisis
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What happens when a raw material that is valueless suddenly becomes valuable? If it's bird guano in the 19th century, you mine it and save the agricultural economy. If its data in the late 20th century, you collect it and create a new digital economy.Â
Music attributions can be found here: https://www.libertarianism.org/podcasts/building-tomorrow/guano.
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Hosted on Acast. See acast.com/privacy for more information.
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If voting leaves you feeling tired and vaguely dissatisfied, you're not alone. Over 60% of voters aren't happy with the two party duopoly that dominates US politics; others hate the flood of negative campaign ads or feel that politics is too big or too distant to be able to effect via the voting process.
But there is hope! This week, Paul talks to two political scientists, Lee Drutman and Daniel Bowen to talk about how ranked choice voting, multi-member legislative districts, and packing the House of Representatives could save our democracy from its dire situation.
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In the 18th century, something sparked a wave of technological innovation and economic growth that has transformed the world for the better. Economists have argued about what that something was ever since. Our guest today, Professor Joel Mokyr, argues that it was a change in western European cultural attitudes that provided that spark. Enlightenment curiosity fomented a belief that practical knowledge could improve the world in tangible and permanent ways.
Do we assume that progress will always happen? What threatens the concept of progress?
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Spend any time on social media and odds are that you've interacted with at least one bot account; given how advanced they've become, you might not even have noticed. Paul interviews bot programmer Max Sklar about why bots are a big part of the future of online interaction and why that's not necessarily a bad thing. They also discuss machine learning, artificial intelligence, and the deurbanization of New York City.
What is a geofence? Do we have an obligation to give data to apps for their user research? What is machine learning? Who or what is a marsbot??
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