The article delves into the phenomenon of AI psychosis, exploring how the rapid advancement of artificial intelligence might affect human perception and cognition. It discusses the potential psychological impacts of interacting with increasingly sophisticated AI systems and raises questions about reality and mental health in a tech-driven world.

Vibe coding, fueled by AI coding assistants like Claude Code, creates a psychological loop of addiction due to its unpredictable rewards and minimal effort for potentially significant outputs. However, this often results in verbose and over-engineered code, driven by economic incentives that prioritize token usage over code quality. To combat these issues, the author shares strategies such as enforced planning, strict permission protocols, and using smaller models to achieve more elegant coding solutions.

Trust in AI is increasingly important as reliance on technology grows, with psychological factors influencing users' perceptions and acceptance of AI systems. Understanding the dynamics of trust can enhance user experience and foster a more effective interaction between humans and machines. Building transparency and reliability in AI can help mitigate skepticism and promote a healthier relationship with technology.