Neural networks are grown, not built—and we’re witnessing the emergence of hybrid organizational intelligence shaped by patterns of human-AI interaction that neither could create alone.
This framing of distributed organizational memmory is brilliant, but it raises a tension you touch on lightly: while human memory degrades naturally, these hybrid patterns could fossilize. The risk isn't just that poor jugdment persists, its that the interaction patterns themselves become harder to question once theyre encoded in both human habit and machine logic. Organizations might need deliberate mechanisms for unlearning, a kind of scheduled entropy to prevent premature convergence on local maxima that look efficient but miss deeper value creation.
I totally agree. A process of 'unlearning' will either have to be added in some sort of double loop approach or audit of processes will need to be one.
This framing of distributed organizational memmory is brilliant, but it raises a tension you touch on lightly: while human memory degrades naturally, these hybrid patterns could fossilize. The risk isn't just that poor jugdment persists, its that the interaction patterns themselves become harder to question once theyre encoded in both human habit and machine logic. Organizations might need deliberate mechanisms for unlearning, a kind of scheduled entropy to prevent premature convergence on local maxima that look efficient but miss deeper value creation.
I totally agree. A process of 'unlearning' will either have to be added in some sort of double loop approach or audit of processes will need to be one.