Possible

MacKenzie Price on AI-Powered K-12 SchoolsGains in the quality of America’s K-12 education in the late 20th and early 21st century have largely plateaued—and , in several instances, reversed—in the last few decades. This week, Alpha School co-founder MacKenzie Price joins the show to discuss her fast-expanding network of AI-powered private schools, which she says represent the reform the system so badly needs. She explains why Alpha students learn core academics in two hours a day via a personalized learning platform—not human teachers—and then devote the rest of the school day to passion projects, life skills, and real-world learning. Plus, we hear from Alex, a high school senior at Alpha’s Austin, TX location, about his experience. For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/ Topics: 3:45 - Hellos and intros 4:12 – MacKenzie’s path from Stanford psychology to Alpha Schools 6:11 – Updating traditional school systems with AI 7:46 – What makes Alpha Schools different 12:01 – The 2-Hour Learning model 15:40 – Key lessons from AI in classrooms 18:11 – AI supercharges students with the “four C’s”: critical thinking, communication, collaboration, creativity 20:47 – Teacher-student connection and mentorship 21:54 – Scaling Alpha Schools & lowering costs 25:47 – AI-driven assessment & personalized learning plans 29:38 – Midroll 29:47 – Alex shares his experience as an Alpha School student and entrepreneur 34:19 – Challenges of scaling 36:09 – Student incentives & using Alpha currency to teach kids financial literacy 38:55 – Alpha students learn life skills & develop entrepreneurial projects 41:44 – GT School for highly accelerated learners 44:55 – “Future of Education” podcast highlights 47:16 – Teachers vs. guides & redefining expertise in education 49:21 – Using AI for public speaking & coaching 51:02 – Rapid fire questions Select mentions: Alpha School, AI-Driven Education Founded in Austin, Is Coming to More Cities — New York Times: https://www.nytimes.com/2025/07/27/us/politics/ai-alpha-school-austin-texas.html Future of Education Podcast: https://futureofeducationpod.com/ Berry: https://berryplush.com/ Possible is an award-winning podcast that sketches out the brightest version of the future—and what it will take to get there. Most of all, it asks: what if, in the future, everything breaks humanity's way? Tune in for grounded and speculative takes on how technology—and, in particular, AI—is inspiring change and transforming the future. Hosted by Reid Hoffman and Aria Finger, each episode features an interview with an ambitious builder or deep thinker on a topic, from art to geopolitics and from healthcare to education. These conversations also showcase another kind of guest: AI. Each episode seeks to enhance and advance our discussion about what humanity could possibly get right if we leverage technology—and our collective effort—effectively.

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Audrey Tang and Divya Siddarth on Outfitting Democracy for the AI EraHow can we take digitally-empowered democracy straight out of science fiction into reality? This week, Reid and Aria are joined by two digital democracy pioneers, Audrey Tang and Divya Siddarth. Audrey Tang is a cyber ambassador-at-large and former inaugural Minister of Digital Affairs for Taiwan. Their pioneering initiatives like the Sunflower Movement, g0v, and vTaiwan have fought misinformation and influenced policy decisions. Audrey is also a senior research fellow for the Collective Intelligence Project, co-founded and directed by Divya Siddarth. Divya leads projects worldwide that give voice to the public in building better AI. Audrey and Divya have spent years investigating how people converge on uncommon ground and how to beat polarization. They discuss the power of collective input and collaboration to create a cycle of collective intelligence. Plus, how AI tools—informed by public input—can enhance governance, digital life, and bring out the best in all of us. For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/ Topics: 3:07 - Hellos and intros 3:38 - Audrey and Divya's partnership backstory 7:06 - Challenges and surprises with AI in governance 10:19 - What problems do CIP's projects aim to solve? 13:04 - Breakthroughs in collective intelligence 15:08 - Fighting polarization in the age of social media 16:50 - Capitalizing on innate collective intelligence 18:51 - The difference between collective intelligence and democracy 20:33 - Design principles for democracy-forward AI 23:30 - Involving the public in AI model building 26:18 - Midroll 28:32 - Bringing Taiwan's civic wins worldwide 30:41 - Radical transparency in digital tools 35:18 - Why aren't Taiwan's initiatives landing in the U.S. 38:09 - Creating digital twins 39:52 - Reid and Aria's outlook on AI and democracy relations 42:04 - Who would Reid delegate AI centralization to? 45:05 - Rapid-fire Select mentions: Plurality by E. Glen Weyl, Audrey Tang, and Community Global Dialogues — The Collective Intelligence Project Alignment Assemblies — The Collective Intelligence Project “Anthem” by Leonard Cohen A Half Built Garden by Ruthanna Emrys The Dispossessed: An Ambiguous Utopia by Ursula K. Le Guin Terra Ignota series by Ada Palmer Taiwan’s Digital Minister Knows How to Crush Covid-19: Trust | WIRED What Could BG Be? Engaged California How the Sunflower movement birthed a generation determined to protect Taiwan Possible is an award-winning podcast that sketches out the brightest version of the future—and what it will take to get there. Most of all, it asks: what if, in the future, everything breaks humanity's way? Tune in for grounded and speculative takes on how technology—and, in particular, AI—is inspiring change and transforming the future. Hosted by Reid Hoffman and Aria Finger, each episode features an interview with an ambitious builder or deep thinker on a topic, from art to geopolitics and from healthcare to education. These conversations also showcase another kind of guest: AI. Each episode seeks to enhance and advance our discussion about what humanity could possibly get right if we leverage technology—and our collective effort—effectively.

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