Artificial intelligence systems fail because they treat every prompt as a final goal, ignoring that humans usually do not know what they want until they start typing.
April 24, 2026
Original Paper
Alignment has a Fantasia Problem
arXiv · 2604.21827
The Takeaway
Artificial intelligence developers treat every typed command as the absolute ground truth of a person's intent. Behavioral evidence shows that humans usually interact with tools while their goals are still messy and half-formed. The current engineering approach ignores the reality that the first prompt is often just a starting point for exploration. This disconnect creates a massive safety risk because the AI tries to optimize for a literal request that the human is still actively revising. True alignment requires systems that can handle the fluid and evolving nature of human thought rather than freezing a single moment of text.
From the abstract
Modern AI assistants are trained to follow instructions, implicitly assuming that users can clearly articulate their goals and the kind of assistance they need. Decades of behavioral research, however, show that people often engage with AI systems before their goals are fully formed. When AI systems treat prompts as complete expressions of intent, they can appear to be useful or convenient, but not necessarily aligned with the users' needs. We call these failures Fantasia interactions. We argue