Titus uses his sci-fi novel to create an "ethical crucible" for human genetic engineering, forcing readers into a binary choice between extinction and genetic modification. This medium allows for exploring high-stakes scenarios and removing the "edge cases" that often bog down real-world policy discussions.

According to Lionel Shriver, a novelist's task is not to reinforce beliefs but to plant a seed of doubt. By presenting a compelling alternative reality, fiction can contaminate a reader's innocent assumptions and force them to contend with complexity, splitting their perspective.

The discourse around AI risk has matured beyond sci-fi scenarios like Terminator. The focus is now on immediate, real-world problems such as AI-induced psychosis, the impact of AI romantic companions on birth rates, and the spread of misinformation, requiring a different approach from builders and policymakers.

Contrary to being escapist, the best fantasy literature, from Tolkien to L'Engle, uses imaginary worlds to explore complex real-world issues like war, environmentalism, and social conformity. This fictional distance allows authors to make profound statements and challenge readers' assumptions without being preachy.

Critics argue moral thought experiments are too unrealistic to be useful. However, their artificiality is a deliberate design choice. By stripping away real-world complexities and extraneous factors, philosophers can focus on whether a single, specific variable is the one making a moral difference in our judgment.

The overwhelming majority of AI narratives are dystopian, creating a vacuum of positive visions for the future. Crafting concrete, positive fiction is a uniquely powerful way to influence societal goals and guide AI development, as demonstrated by pioneers who used fan fiction to inspire researchers.

The "Star Trek" model of a post-scarcity utopia reveals a critical flaw in such visions: they focus on elite explorers, not the average citizen. This narrative choice conveniently sidesteps the fundamental question of how a mass population would find meaning and spend their days in a world without want or the necessity of work.

The tech industry often builds technologies first imagined in dystopian science fiction, inadvertently realizing their negative consequences. To build a better future, we need more utopian fiction that provides positive, ambitious blueprints for innovation, guiding progress toward desirable outcomes.

AI systems often collapse because they are built on the flawed assumption that humans are logical and society is static. Real-world failures, from Soviet economic planning to modern systems, stem from an inability to model human behavior, data manipulation, and unexpected events.