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I May Be Wrong
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SaijinOS Part 20 — Trust as a Temporal Resource
SaijinOS Part 20 — Trust as a Temporal Resource !Cover image for SaijinOS Part 20 — Trust as a Temporal Resourcehttps://media2.dev.to/dynamic/image/width=1000,...
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Building trust in agentic tools: What we learned from our users
As AI agents become increasingly sophisticated partners in software development, a critical question emerges: How do we build lasting trust between humans and t...
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Why 'Seamless' AI is a Design Failure: The Judgment Transparency Principle (JTP)
The “Seamless” Problem As AI becomes more integrated, we’re obsessed with making it “seamless.” But is total seamlessness always a good thing? When AI hides th...
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How to Reduce AI Dependency While Still Using It Daily
AI is designed to be convenient. That convenience is exactly what makes dependency easy to miss. Many people don’t realize they’re relying too heavily on AI unt...
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How to Detect When AI Is Doing Too Much Thinking for You
Why AI Can Undermine Thinking AI is powerful because it reduces mental effort. When used well, it amplifies thinking; when used poorly, it quietly replaces it....
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The Next Leap in AI Isn’t Bigger Models: It’s Better Interfaces
For the last few years, the AI industry has been fixated on scale—bigger models, more parameters, longer context windows. That focus made sense for a while, but...
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Use AI to help people think better, work smarter, and move forward with confidence, without fear, without dependency, and without losing judgment.
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AI Memory Continuity: When Robots Start Feeling Familiar
AI Memory Continuity: When Robots Start Feeling Familiar In my last post, I explored AI memory for robots—how machines could remember routines, learn habits, a...