Origin Part 4: The AI That Evolves Itself (And Catches Its Own Bugs)

OLT-1 runs its own test suite, diagnoses failures, proposes fixes, tests them in a sandbox, and only promotes what actually works. Most AI models get better through human intervention. Someone notices a failure mode, collects training data, retrain the model, and hopes the new version doesn't break something else. It's slow, expensive, and error-prone. OLT-1 has a different approach. Its evolution system runs an automated loop that mirrors the scientific method: diagnose, hypothesize, sandbox, c