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We ask whether AI’s speed is actually improving our work or just shifting complexity to users who must now manage the "evaluation plumbing," as Patrick Neeman argues. Sophie Shrimpton warns that we’re risking a digital landfill of disposable interfaces by confusing fast design with true U…
We explore the dangerous illusion of synthetic research, where Kyle Soucy argues that LLM-generated users create a false confidence that masks bad decisions, while Emily Haines Lloyd warns that the influx of low-quality machine text is squeezing out the nuanced human work that actually resonates. T…
We’re past asking if AI is fast enough; now we have to ask if it’s honest, especially when tools like Strava start defining who we are more than our own intuition does. We unpack the danger of "cargo cult" design and the rise of the Homo Metricus, where data overrides bodily sensation, wh…
We examine the growing gap between AI’s expanding capabilities and our ability to control them, starting with Patrizia Bertini’s argument that recent safety incidents are inevitable results of prioritizing speed over structural integrity. This tension is mirrored in the community, where senior desi…
We’re facing a quiet shift where the bottleneck in design has moved from generation to curation, as Tanner Kohler argues that we’re losing value by manually managing stale context libraries while Hiroshi Sato urges us to design for ideas that don’t yet exist. This tension between managing chaos and…
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