The AI Engineering Crisis Was Predicted Long Before AI — And It Starts With False Confidence
Failed to add items
Sorry, we are unable to add the item because your shopping cart is already at capacity.
Add to basket failed.
Please try again later
Add to Wish List failed.
Please try again later
Remove from Wish List failed.
Please try again later
Follow podcast failed
Unfollow podcast failed
The AI Engineering Crisis Was Predicted Long Before AI — And It Starts With False Confidence
-
Narrated by:
-
By:
About this listen
The debate around AI coding assistants is missing something important: most of their limitations were predicted decades ago by classical cognitive and organizational theory. Drawing on the work of Nobel laureate Herbert A. Simon, Michael Polanyi, and complex systems research, this paper argues that AI struggles with software engineering for structural—not temporary—reasons. AI optimizes locally, while engineering requires global reasoning, tacit knowledge, and system-level judgment. The real question is no longer whether AI can generate code. It is whether prediction alone can ever replace engineering thinking.
Hosted on Acast. See acast.com/privacy for more information.
No reviews yet
In the spirit of reconciliation, Audible acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.