Job alert: AI Futures Project seeks developer to build online AGI simulation game

The AI Futures Project, creators of the AI 2027 scenario, is seeking a full-stack developer to build an online version of their tabletop exercise that simulates AI takeoff scenarios. The digital adaptation would use large language models (LLMs)—AI systems trained on vast amounts of text—to drive game characters, potentially reaching millions of users to help them understand artificial general intelligence (AGI) dynamics and risks without requiring human facilitation.

What you should know: The team has already developed and successfully tested a tabletop version where participants role-play as key decision-makers during AI development scenarios.

• Reviews have been positive, with participants finding the exercise useful for building their own models of how AI development might unfold.
• Different players take on roles like POTUS, China leadership, or frontier AI company CEOs.
• The scenarios are based on the team’s AI 2027 research and background materials.

The technical vision: The online version would leverage AI to automate the game master role while maintaining the educational impact of the original format.

• LLMs would drive other game characters, eliminating the need for human facilitation.
• The digital experience would likely look and feel very different from the in-person version while conveying similar content.
• The game would incorporate the team’s existing scenario research alongside various interactive game elements.

Who they’re looking for: The ideal candidate combines technical skills with domain expertise and game design experience.

• Must have full-stack development capabilities.
• Should possess game design and UX experience or strong interest.
• Requires deep understanding of AGI risk and related concepts.
• The team previously collaborated with Lightcone Infrastructure on the AI 2027 website and may work with them again, but they’re exploring other options first.

Why this matters: The project aims to democratize understanding of AI takeoff scenarios by making the educational experience accessible to millions rather than the limited number who can participate in facilitated tabletop sessions.