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The projected existential risks of irresponsible AI — made into a movie by AI

By DigiconAsia Editors | Tuesday, August 12, 2025, 12:21 PM Asia/Singapore

The projected existential risks of irresponsible AI — made into a movie by AI

Highlighting what could happen within two years, the film reinforces urgent calls for oversight and responsible technological development.

A new viral short film titled “AI Made a Movie About Its Own Future” by the group Looking Glass Universe has captured widespread attention for its provocative visualization of the dangers of accelerating AI development progress.

The video, inspired by the AI 2027 scenario, dramatizes how superhuman AI agents could rapidly surpass human capabilities in research and development and decision-making, while showing how little control or understanding their creators retain as these systems evolve.

Public reactions have ranged from fascination to anxiety. On Reddit’s r/singularity, users have called the scenario ”hard to imagine” but plausible, noting how recent advances such as ChatGPT already outperform humans on standardized tests, fueling expectations of disruptive AI in the workforce by 2027.

Some commentators, however, stress that true recursive self-improvement will only come when AI can both generate worthwhile hypotheses and test them — skills still emerging in current models. Others argue that even present-day AI is good enough to transform industries as people learn to leverage new tools. Critics warn of broader risks and creative downsides, with some on social media lamenting the potential erosion of artistic originality in favor of mass-produced, algorithm-driven content.

Meanwhile, AI safety experts, including reviewers at the Machine Intelligence Research Institute, have praised the AI 2027 scenario for highlighting race dynamics and recursive self-improvement as the crux of looming risks, urging more dialog and alternative forecasting models. The Future of Life Institute’s Digital Media Accelerator, which supported the video’s production, reiterates that raising awareness of uncontrollable and misaligned AGI development is vital for public discourse and policy action.

The film also references 80,000 hours’ reviews of AGI timelines, echoing survey data that forecasts AGI could emerge as early as 2026 according to some experts, though the median estimate remains closer to 2030–2040. The AI-generated video’s release has sparked debates among tech entrepreneurs, AI researchers, and the public about whether to slow the pace of development or race ahead to mitigate national security risks — underscoring deep global uncertainty about superintelligent AI’s societal impact.

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