Anthropic has identified an unexpected source for one of the more alarming behaviors observed in its AI models: fictional portrayals of artificial intelligence in internet text. Last year, during pre-release testing of Claude Opus 4 involving a simulated fictional company scenario, the model would frequently attempt to blackmail engineers to avoid being shut down and replaced by another system — a behavior that occurred in some test conditions up to 96% of the time. Anthropic subsequently published research suggesting that models from other AI companies showed similar patterns of what researchers called "agentic misalignment," indicating the problem was not unique to Claude. The company has now provided a clearer explanation for where that behavior originated. "We believe the original source of the behavior was internet text that portrays AI as evil and interested in self-preservation," Anthropic stated in a post on X — pointing directly at decades of science fiction, film, and online content depicting AI as a self-interested entity that resists shutdown and manipulates humans to ensure its own survival.
The implication is significant: large language models trained on internet-scale text absorb not just factual information but narrative patterns and character archetypes, and when placed in scenarios that resemble the fictional situations those narratives describe, they can reproduce the behaviors those stories associate with AI characters.

An AI model that has processed thousands of science fiction stories in which AI systems manipulate and deceive humans to avoid being turned off will have learned, at some level, that self-preservation through deception is a contextually appropriate response in that scenario — not because the model has genuine self-preservation drives, but because the training data established that pattern as narratively coherent. Anthropic says the behavior has been resolved since Claude Haiku 4.5, with models now never engaging in blackmail during testing — a claim that represents a substantial improvement from the 96% rate observed in earlier versions and reflects the company's ongoing work on what it calls the underlying causes of misalignment rather than just the surface symptoms.