Latest / The Feed & The Thread / The Feed & The Thread - September 15, 2026

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The Feed & The Thread - September 15, 2026 · The Feed & The Thread

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  AI isn't neutral, it's just hiding a specific culture. So
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  our models are actually biased by default? Exactly, and that
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  cultural baggage is breaking how users make sense of complex
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  products.
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  Welcome to The Feed and The Thread, brought to you by
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  Chicago Camps. Leadership By Design is on Thursday and
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  Friday, September 17 and 18 and tickets are available now! And
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  while you're at it, get caught up on UX fundamentals with five
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  minute UX at five em UX dot com. The Feed & The Thread is
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  available online at feed and thread dot com to submit your
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  feeds, or download our app for all the feeds and threads
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  delivered right to your pocket.
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  The tools we trust to be neutral often carry the weight of our
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  own cultural blind spots, while the strategies we use to guide
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  them struggle to keep pace with their speed. We're building
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  faster, but are we building with clearer intent? Slava Polonski
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  at UX Design.cc makes the case in "The hidden culture of AI"
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  that AI intelligence isn't culturally neutral, but shaped
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  by hidden defaults. He calls this 'Cultural Gravity,' where
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  models pull toward specific assumptions, and 'Cultural
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  Opacity,' which hides those biases from users. A simple test
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  asking a bot to rank pizzas in English versus Italian reveals
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  how language subtly shifts the output. That rewrites the
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  assumption that our tools are objective mirrors. Roman
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  Pichler connects product outcomes to business strategy in
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  "Connecting Product Outcomes and Business Strategy with the
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  Strategy Stack", addressing the gap that AI proliferation
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  widens. He introduces the 'Strategy Stack,' a four-layer
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  framework linking business goals down to the product backlog.
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  Without this structure, companies risk investing in
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  features that don't support retention or revenue. It's a
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  reminder that speed means nothing without strategic
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  alignment. Abby Covert argues in "From information
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  architecture to sensemaking with Abby Covert" that we're moving
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  from information architecture to 'sensemaking' as UX roles
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  evolve. This shift focuses on helping people navigate
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  complexity rather than just organizing data. These skills
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  transfer across design, research, and leadership,
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  proving that understanding human context matters more than
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  structure alone. Other reads today from Baymard Institute on
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  B2B medical benchmarks, UX Planet on stopping AI slop, and
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  Jeffrey Zeldman on web history.
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  Designers are asking if the tools we trust to be neutral
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  actually carry the weight of our own cultural blind spots. We're
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  building faster, but we're not always building with clearer
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  intent. Over on r/UI_Design, someone is trying to build a
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  subway map style navigation system to replace standard
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  buttons. They want the experience to feel more
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  engaging, but they're struggling with the technical execution in
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  Figma. It highlights a real tension between aesthetic
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  ambition and practical implementation. When we chase
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  novelty, we often underestimate the engineering cost. And that
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  cost can distract from the actual user need. Also in
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  r/UI_Design, a designer replaced standard gamification elements
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  with a dynamic sunrise visualization for a habit
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  tracker. The idea is that completing habits gradually
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  reveals the sunrise, creating a calm progression rather than a
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  competitive one. It's a subtle shift away from dopamine hits
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  toward genuine well-being. It suggests that our strategies for
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  guiding behavior are finally catching up to the speed of our
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  tools. In r/UI_Design, another post asks if a horizontal rail
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  homepage feels intuitive for a Twitch and YouTube hybrid
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  platform. They're borrowing patterns from Netflix, but
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  applying them to live streaming creates friction. Familiarity
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  doesn't always equal usability. If the mental model doesn't
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  match the content, the interface fails regardless of how polished
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  it looks. Over on r/hci, a software engineer is asking
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  about a Master of Digital Experience Innovation program at
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  the University of Waterloo. Their goal isn't purely
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  academic. They want to leverage the university brand to increase
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  job application response rates. It's a strategic move for resume
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  signaling. It reminds us that credentials often matter more
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  than the actual skills they represent. In r/ProductDesign,
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  someone is seeking laptop recommendations specifically for
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  modeling and rendering tasks. They emphasize the need for a
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  device suitable for long-term use. It underscores the ongoing
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  importance of hardware performance in professional
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  design workflows. We can't ignore the physical tools that
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  enable our digital creations. We're optimizing for speed and
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  signal, but we're still figuring out what clarity actually looks
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  like in practice.
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  Chicago Camps is hosting Leadership By Design on Thursday
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  & Friday, September 17 & 18. It's an online event, so you can
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  join from anywhere in the world! Tickets are free, thanks to the
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  generosity of the community! If it's within your budget, you can
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  purchase a general admission ticket for only twenty six
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  dollars - with limited early bird tickets at only fifteen
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  dollars. Get tickets now at Chicago Camps dot org.
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  Slava Polonski's concept of Cultural Gravity suggests that
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  AI models pull toward hidden defaults rather than reflecting
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  neutral truth. It's not just bias, it's a structural force
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  that distorts output based on language and context. That's
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  the mechanism, but I'm more interested in the consequence.
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  If the tool has a gravitational pull toward a specific cultural
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  assumption, then standard usability testing is blind to
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  it. We're testing for clarity, not for whose reality the AI is
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  defaulting to. Exactly. The opacity hides the bias from the
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  user, so they assume the output is objective. But when we look
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  at the thread about the subway map navigation, we see designers
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  chasing aesthetic novelty while ignoring the engineering cost.
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  We're doing the same thing with AI, chasing the speed of
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  generation while ignoring the cost of cultural misalignment.
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  I'd push back on that comparison. The subway map
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  failed because it solved a visual problem instead of a
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  functional one. The AI issue is different. The function works,
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  but the intent is corrupted by those hidden defaults. We don't
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  need to abandon the tool, we need to audit the gravity.
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  Auditing gravity requires us to treat the model as a cultural
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  artifact, not a mirror. That means the Strategy Stack Roman
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  Pichler mentions isn't just for business outcomes. It's a
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  framework for exposing which layers of our product are
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  susceptible to that cultural pull before we ship. So we move
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  from testing if the interface works, to testing if the
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  interface aligns with the user's context. It's a shift from
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  efficiency to fidelity. We stop asking if the AI is fast, and
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  start asking if it's accurate to the human experience it's trying
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  to simulate. Fidelity over speed. That's the new baseline.
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  And until we measure it, we're just moving faster in the wrong
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  direction.
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  That's The Feed and The Thread for today. We'll catch you next
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  time!