TLDR: Veteran game developers The Oliver Twins are bringing back their 1987 classic ‘Ghost Hunters,’ but the project’s reliance on generative AI for its visual assets has ignited controversy. The move, announced via the Twins’ Facebook account, highlights growing concerns within the creative industry regarding AI’s impact on artistic integrity, copyright, and the livelihoods of human artists. The reboot is being developed for the Oliver Twins’ RichCast platform, which is known for its extensive use of AI-generated content.
The Oliver Twins, celebrated figures in British game development known for classics like ‘Dizzy,’ ‘Super Robin Hood,’ and ‘Professional Ski Simulator,’ are set to revive their 1987 title, ‘Ghost Hunters.’ Originally released on platforms such as the Amstrad CPC, ZX Spectrum, and Commodore 64, the game is slated for a modern-day reboot, featuring characters Hunk Studbuckle and his partner, Chuck.
However, the announcement has been met with significant debate, as the imagery released for the upcoming ‘Ghost Hunters’ revival has been explicitly identified as being created using generative artificial intelligence, rather than human artists. This decision, shared on the Twins’ Facebook account, has fueled ongoing discussions about the role and ethics of AI in creative industries.
Sources indicate that the revived ‘Ghost Hunters’ is being developed for the RichCast platform, a venture by the Oliver Twins’ Panivox studio, established in 2021. RichCast was initially conceived as a platform for interactive, choice-based stories, with a strong emphasis on AI-generated content, particularly speech. Since its inception, the platform has reportedly embraced all facets of generative AI, with its website showcasing a plethora of AI-made imagery, video, and speech.
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The use of generative AI in game development remains a highly contentious topic. Critics point out that these AI tools are often trained on vast datasets of images and footage, frequently without the explicit permission or compensation of the original copyright holders. Furthermore, the creation of generative AI content is associated with high power demands, raising environmental impact concerns. There is also a growing apprehension that the proliferation of ‘AI slop’ is diminishing the overall quality of online content. Perhaps most critically, the technology is seen by many as directly threatening the livelihoods of artists, developers, animators, and voice actors—the very professionals whose work often forms the training data for these AI systems.
