We start today by asking whether we design for human intuition or for machines that feel nothing, exploring how Hoang Nguyen argues our next users won't be human while UX Planet insists on mimicking physics to keep interfaces feeling real. We then examine how Caroline Glackin proposes using Kaizen to feed frontline insights back into AI training loops, bridging the gap between semantic data structures and continuous improvement. Finally, we join the community as they wrestle with the disconnect between raw impact and polished process, questioning if scale truly equals professional value in a field increasingly dominated by code-based tools.
