Having experienced advanced AI models firsthand, I can relate deeply to the sense of addiction described in the original post. The high-level intelligence and seamless interactions these big models provide create a unique user experience that ordinary tools simply cannot match. For example, once you get accustomed to an AI system that offers quick, one-shot problem-solving loops and adaptive dialogue — similar to platforms like Fable or Open Router Fusion — it's challenging to switch back to more restrictive or less intelligent systems. This phenomenon goes beyond mere convenience; it taps into the human desire for efficiency, creativity, and exploration. The term 'token addict' resonates because interacting with sophisticated AI often feels like unlocking new cognitive capabilities, sparking fascination akin to discovering a superpower. Moreover, the collective frustration observed when access to such models is limited or removed highlights how these technologies are becoming integral to daily workflows and creative processes. Users are not just seeking novelty but genuinely enhanced performance that reshapes how they approach tasks, whether generating content, coding, or researching. In my experience, balancing enthusiasm with critical assessment is important. While the excitement around AGI and big models is justified, understanding their limitations and ethical considerations remains crucial. Keeping abreast of developments like model availability and ethical use policies ensures users can responsibly enjoy these powerful tools without over-reliance or unrealistic expectations. Overall, the high capability and immersive interaction that advanced AI offers create a strong emotional connection and dependency, making it clear why many users express a desire to 'never go back' to less advanced AI.