Beautiful point — I think it absolutely does. Coherence could be a new north star for algorithms, too. Imagine optimisation guided not just by speed or accuracy, but by how recognisable, stable, and aligned the learning stays over time. That’s where the human and the machine stories start to meet. Instead of pushing for pure optimisation, we could be teaching algorithms to grow without fracturing — to stay true to their purpose as they adapt. In a way, that’s the same challenge humans face: learning faster, but without losing ourselves.
This coherence concept is brilliant. What if it applies to complex algorithm optimization?
Beautiful point — I think it absolutely does. Coherence could be a new north star for algorithms, too. Imagine optimisation guided not just by speed or accuracy, but by how recognisable, stable, and aligned the learning stays over time. That’s where the human and the machine stories start to meet. Instead of pushing for pure optimisation, we could be teaching algorithms to grow without fracturing — to stay true to their purpose as they adapt. In a way, that’s the same challenge humans face: learning faster, but without losing ourselves.