A TikTok phenomenon revolves around a blogger using the handle @curt.skelton, whose channel surged in popularity with a string of videos about creating visuals and effects. Since 2021, the creator has offered guidance on how to work with visual effects and often adds a dose of humor to the clips. The latest upload drew enormous attention, as the creator revealed that much of the persona shown in these videos was generated with neural networks and digital tools rather than a real appearance.
An accompanying video features a person who appears to be behind the mask, describing how the avatar was designed. The process involved using the DALL-E neural network along with additional software to craft the character’s look, produce a three-dimensional model, animate the figure, and adjust the voice to match the on-screen identity. This behind-the-scenes account underscores how modern AI can craft believable, multi-sensory characters for online content and entertainment.
The TikTok post quickly amassed millions of views within hours, signaling a rapid shift in audience engagement and the growing appetite for AI-generated media. The clip also spread to other social networks, where it caught the attention of influential figures and garnered widespread discussion. The viral nature of the video sparked a mix of curiosity and skepticism as viewers debated the line between authentic human performance and machine-generated illusion.
Commenters offered a range of reactions. Some praised the potential of artificial intelligence to enhance storytelling and production value, while others wrestled with the implications for trust and perception in online spaces. A few expressed doubt about the truth of the reveal, while others confessed they were briefly convinced by the convincing presentation. The online conversation reflected broader questions about identity, authorship, and the role of automation in creative work.
There are also ongoing discussions about responsibly using neural networks in media, with attention to consent, representation, and the potential for confusion among audiences. As AI-driven creativity becomes more mainstream, creators and viewers alike are navigating new norms for transparency and disclosure when a digital character stands in for a real person.
Earlier coverage highlighted neural network projects that push the boundaries of synthetic imagery, including experiments with tools that generate content resembling real people. This context helps explain why audiences are suddenly more attuned to the mechanics behind digital personas and why marked disclosures about AI-generated elements can matter to viewers. The evolving landscape of AI-assisted media continues to shape how stories are told and who gets credit for them.
Attributions: [VG Times]