The widespread trust in AI chatbots as all-knowing oracles is a dangerous misunderstanding of what they actually are. Large Language Models are sophisticated pattern-matching tools, not truth machines, a critical distinction defining how we should use them.

The tech industry's rush to cram AI into every product is making software worse and more expensive, forcing users to pay for features they don't want or need. From AI buttons on mice to mandatory chatbots in browsers, these integrations prioritize revenue extraction over user experience. Good software should respect users' time and intelligence, not exploit them through forced feature bloat.

Apple's new Liquid Glass design system prioritizes aesthetics over usability, creating beautiful but hard-to-read interfaces that repeat the same mistakes as touchscreen car dashboards.

A simple challenge to make tea becomes a 15-minute ordeal with an 'innovative' office water boiler that requires hovering, swiping, and consulting a manual for basic operation. The touchless hypermodern interface promises hygiene benefits but delivers unnecessary complexity that turns getting hot water into a multi-step puzzle. A perfect example of how over-engineering simple tasks creates frustration when basic buttons would work infinitely better.

A simple visit to a university professor becomes a 20-minute navigation nightmare through poorly signed hallways and confusing room numbering systems. A perfect example of institutional design that prioritizes administrative logic over human wayfinding needs.

A cautionary tale of terrible UX design: how food delivery apps create frustrating login flows and fail to update delivery addresses, turning a simple pizza order into an hour-long disaster.

The ultimate design failure: scissors sold in packaging that can only be opened with scissors, creating an endless loop of frustration. What should be a simple purchase becomes a blood-drawing battle with impenetrable plastic casing.