Garbage Cans & Bitter Lessons: AI in Messy Organizations

We explore the messy, real-world 'garbage can' view of work and the bitter lesson from AI research: brute computation often outpaces carefully encoded knowledge. From process maps to autonomous AI agents (handcrafted vs outcome-trained), we ask whether we should map the mess or define outcomes and let AI learn the rest. And we consider the human side—trust, collaboration, and values AI struggles to quantify—as we probe how AI fits into the messy realities of modern work.

Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.

Sponsored by Embersilk LLC