Co-Intelligence Living and Working with AI

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.

Show Notes

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.

What is Co-Intelligence Living and Working with AI?

This podcast features in-depth conversations between two hosts exploring the evolving role of artificial intelligence in knowledge work and higher education. Each episode examines how AI is reshaping professional practices, learning environments, and human collaboration, drawing on current trends and real-world experiences. The show is designed for educators, professionals, and anyone interested in understanding the practical and ethical dimensions of AI in modern work and academic settings.