In this Christmas episode of the AI-Shed podcast, Alessandro and Giovanni step away from predictions and buzzwords to do what engineers actually do at the end of the year: a systems review. They look back at what really worked in AI over the past year, where expectations clearly outran reality, and why many so-called “agentic” systems failed in very predictable ways. From overconfident automation disguised as autonomy to agents that optimized themselves straight into chaos, the episode unpack...
All content for AiShed is the property of Alex and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
In this Christmas episode of the AI-Shed podcast, Alessandro and Giovanni step away from predictions and buzzwords to do what engineers actually do at the end of the year: a systems review. They look back at what really worked in AI over the past year, where expectations clearly outran reality, and why many so-called “agentic” systems failed in very predictable ways. From overconfident automation disguised as autonomy to agents that optimized themselves straight into chaos, the episode unpack...
In this episode of the AI-Shed Agentic AI Podcast, Alessandro and Giovanni explore why agentic AI cannot be understood as a single intelligent component. They explain how the moment an AI system begins to act with agency, it becomes part of a wider System of Systems—interacting with humans, data sources, tools, rules, and feedback loops. Through everyday examples and practical analogies, they show that behavior emerges from interactions, not from intelligence alone. The conversation highlight...
AiShed
In this Christmas episode of the AI-Shed podcast, Alessandro and Giovanni step away from predictions and buzzwords to do what engineers actually do at the end of the year: a systems review. They look back at what really worked in AI over the past year, where expectations clearly outran reality, and why many so-called “agentic” systems failed in very predictable ways. From overconfident automation disguised as autonomy to agents that optimized themselves straight into chaos, the episode unpack...