AI Industry Forgot Durable Objects and Outcome-Based Learning
Technology publication Fast Company argues the AI industry has sidelined two vital concepts: durable objects and learning from outcomes, impacting enterprise AI.
The enterprise software shift to cloud-native, stateless systems has fragmented object-oriented programming, separating an object's state from its behavior, unlike earlier models where they coexisted.
This disconnect is critical for enterprise AI, which requires enduring, coherent entities like customers and contracts to maintain consistency. Current systems with limited memory durations are insufficient for business operational needs.
Simultaneously, AI research has reduced its reliance on reinforcement learning, a method of "learning through consequence." While transformer architectures have driven generative AI advances, they have overshadowed these previously effective learning techniques.
Fast Company suggests reassessing these two principles could significantly enhance enterprise AI capabilities and robustness. Forgetting past, proven ideas hinders genuine industry progress.