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What Makes an AI System Truly Adaptive? A Research-Driven Guide to Living AI Meta description: True adaptivity isn’t “fine-tune sometimes.” It’s closed-loop learning under drift, with memory, monitoring, validation, and governance. Here’s the full blueprint.

What Makes an AI System Truly Adaptive? A Research-Driven Guide to Living AI

Research11 min read

Why Fine-Tuning Is Not Continual Learning (And Never Was)

Why Fine-Tuning Is Not Continual Learning (And Never Was)

Research11 min read

The Myth of “Train Once, Deploy Forever” in AI Systems

The Myth of “Train Once, Deploy Forever” in AI Systems

Research10 min read

Distribution shift breaks models after deployment. We map the real failure modes—drift, OOD, non-exchangeability—and why it’s still unsolved.

Learning Under Distribution Shift: The Unsolved AI Problem

Research10 min read

Catastrophic Forgetting Is a Systems Failure in Continual AI

Research10 min read