
Show Notes
We’re taking a short summer break and will be back on your feed in a couple of weeks. But we've got news before we go. Catch up on our most recent series: Computer Says Kill & REAL Resistance
We're cooking up something new: a pilot membership community, launching this fall. Alix shares a little sneak peek at what we're building, and why we think its time to create a place where people can go deeper, find co-conspirators, and figure out what to do next. It's still early, and because we’re building this for you, we want to make sure it’s shaped by you. We want to hear from you: What would make a community like this worth showing up for? What kinds of conversations, connections, or activities would you want to be part of? What should we be thinking about as we build this? We’d love your thoughts in a quick survey here. You can also send us a note directly to [email protected]. Join The Maybe Collective to explore the politics of technology through fresh ideas that you won't hear anywhere else. Sign up for monthly insights, access to exclusive digital events, and real ways to get more involved on issues you care about.
Computer Says Maybe is produced by Georgia Iacovou, Kushal Dev, Marion Wellington, Sarah Myles, Van Newman, and Zoe Trout
More from Computer Says Maybe
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Tech companies keep telling us that the answer to solving climate change lies in AI. Meanwhile, the data centers required to power AI are keeping coal plants open longer, bringing in gas turbines, and driving plans for power stations bigger than anything we’ve built before. More like this: The Colossus Crossroads: Fighting for the Future of Memphis w/ KeShaun Pearson
When a tech executive says AI will be doing your job next year, it sounds like a forecast. Dr. Carissa Véliz argues it's something else: a command, delivered in advance, that works only if enough of us obey it. If you believe the prediction, you buy the product, reorganize your company, and bet the economy on it, and the prediction comes true because you made it so. So who gets to make predictions that stick? And what would it take to stop treating them as news and start hearing them as orders? More like this: AGI is Scientifically Impossible w/ Adam Becker In this episode, Alix Dunn talks with Carissa Véliz, associate professor at Oxford's Institute for Ethics in AI and author of Prophecy: Prediction, Power, and the Fight for the Future, From Ancient Oracles to AI. Carissa explains why a prediction is a command disguised as a description, how powerful people use algorithms to fulfill their own forecasts, and why the alternative just might be being relying on preparation over prediction. Further reading & resources: Prophecy: Prediction, Power, and the Fight for the Future, From Ancient Oracles to AI — Carissa Véliz Beware the Power of Prediction — Carissa Véliz, TED Talk The Origins of Totalitarianism — Hannah Arendt The Dangerous Ideas of “Longtermism” and “Existential Risk” — Émile P. Torres, Current Affairs
Almost everyone studying kids’ safety online agrees that a blanket social media ban won't work. And nearly every government moving on the issue is passing one anyway. This week, a researcher and a policy lawyer dig into why - and what could actually work instead. More like this: When Kids Can’t Consent: The Case Against Tech in the Classroom w/ Andrew Liddell