Co-Intelligence Living and Working with AI

Stop Re Prompting AI with Markdown Skills

Co-Intelligence Living and Working with AI

More from Co-Intelligence Living and Working with AI

Jun 21, 2026

A short episode on treating AI as co-intelligence rather than replacement.

Apr 21, 2026

This episode explores how artificial intelligence is evolving from a simple tool to an active partner in daily life. The discussion covers shifting relationships with AI, the emergence of new roles, and the blurred boundaries between human and machine. Listeners will hear about the practical impacts of AI in work, creativity, and oversight, as well as the challenges of maintaining agency and responsibility in a world shaped by co-intelligence.

Apr 21, 2026

This episode explores the rising costs of essential resources like water and housing, the volatility of the generative AI market, and the growing trend of national AI models. The discussion covers the hidden environmental impacts of AI, such as water usage, and delves into the challenges of algorithmic justice and accountability. Listeners gain insight into how these interconnected forces shape daily life, influence sovereignty, and affect access to basic needs in an increasingly complex world.

Apr 21, 2026

Multimodal AI models now process images, audio, and text together, making advanced analysis accessible beyond large labs. Small language models run efficiently on personal devices, enabling offline use and improved privacy. The episode explores how these technologies impact research, creativity, and daily interactions, highlighting both their capabilities and limitations. Listeners gain insight into the evolving relationship between humans and intelligent systems, including the rise of "vibe coding" and the importance of human oversight.

Apr 21, 2026

This episode explores the widening gap between rapid technology adoption and slow-moving institutional policies, focusing on the rise of "shadow AI" in workplaces and schools. Listeners will hear about the risks of unapproved AI use, the erosion of human skills, and the social impact of automation. The discussion highlights the challenges of balancing innovation with compliance, and considers how organizations can adapt without losing trust or human connection.

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