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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…
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’re producing more output than ever, yet we’ve confused activity with progress, a gap Mathieu Poli highlights by showing how AI defaults are eroding our creative distinctiveness just as Jeff Gothelf argues we need to validate hypotheses before we build. This episode cuts through the noise of &quo…
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…
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