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Articles about AI tools and how to use them

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How AI Designs Interfaces (Without Even Trying)

[Last time on The AI for Normal People…] The team found Bounce in Sector 7-B. They investigated his abilities. They tried understanding them. They failed. They learned about emergent AI behavior—capabilities that arise from complexity, not programming. Observable but not always explainable, controllable, or predictable. They gave up on understanding. They’re trying something new: working with him instead of controlling him. The team stands in Sector 7-B. Bounce’s gaming setup still occupies one corner.

AI UI design UX design interface design
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How to Work With AI Systems You Can't Fully Control

After failing to understand Bounce’s emergent abilities, the team tries a different approach: collaboration instead of control. But Vector’s frustration reaches its limit, Bounce keeps making everything ‘prettier,’ and Kai’s bandwidth alarms won’t stop. As they navigate working with unpredictable AI, they discover something important: sometimes you don’t need to understand everything to work together.

AI collaboration working with AI human-AI collaboration
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Why Can't AI Detect What's Right in Front of It?

Vector, Kai, and Recurse arrive in Sector 7-B hunting the bandwidth anomaly. Kai’s sensors scream that the anomaly is RIGHT HERE. But they can’t see it. Instead they find an impossible paradise of games, snacks, and data-rendered objects that shouldn’t exist. As they investigate, something becomes clear: sometimes AI can detect patterns without identifying what they actually are.

AI detection pattern recognition AI limitations