Co-Intelligence: Working With AI as a Partner

Co-Intelligence: Working With AI as a Partner

In this episode we explore how humans and AI can collaborate as partners. You bring judgment, context, and values; the model brings speed, breadth, and pattern recognition. Together, the goal is better human work—not less of it.

Four Futures for Artificial Intelligence

AI is no longer just a tool—it's a character in our lives. - Kids interact with AI as companions and storytellers - Four possible futures for AI: replacement, amplification, invisibility, partnership - Workplace shifts: new roles and creative collaboration with AI - Human agency and the risks of invisible AI decision-making - The evolving role of "human in the loop" at scale - Responsibility and values in shaping AI's future Timestamps will be added after transcription.

Power, Scarcity, and the AI Bubble

When water costs more than coffee, the world is changing. - Surging water and housing costs reshape cities - The generative AI bubble and its economic risks - National AI models and digital sovereignty - The hidden water footprint of AI technology - Algorithmic justice and the challenge of accountability - How power, scarcity, and technology intersect in daily life Timestamps will be added after transcription.

How Small Language Models Are Changing Everyday Tech

Machines are learning to sense the world in new ways. - Multimodal models blend images, audio, and text - Small language models run on phones and laptops - Deep research tools filter massive data sets - Cross-modal reasoning and its challenges - Vibe coding and intent-driven programming - The evolving role of human oversight Timestamps will be added after transcription.

Shadow AI and the Policy Gap

When rules lag behind, shadow systems emerge. - The slow pace of policy versus rapid tech change - Secret cyborgs and shadow AI adoption in workplaces - Risks of cognitive offloading and skill erosion - Social impacts: loneliness and reduced collaboration - The scramble to update policies and its consequences - The need for flexible adaptation over rigid rules Timestamps will be added after transcription.