An American rock band unveiled a video clip created with neural networks, highlighted by portals covering tech trends. The release highlights how modern AI tools are reshaping music visuals and storytelling for audiences in North America and beyond.
The footage accompanies the track “Fighting Myself” from the Meteora era, and it was crafted using a lesser-known neural model called Kaiber to produce a seamless, looping sequence where one image morphs into another in an endless reel. The AI outputs hundreds of frames that are stitched together into a single, uninterrupted record, presenting an anime-inspired character wandering through the ruins of a cityscape. This approach showcases how generative networks can reinterpret archival material into fresh, cinematic experiences for fans and curious viewers alike.
The unreleased track “Fighting Myself” includes voiceovers by Mike Shinoda and the late Chester Bennington, giving the piece a poignant, time-capsule feel that resonates across generations. As of this writing, the AI-powered video has drawn substantial attention on YouTube, with hundreds of thousands of views and strong engagement from audiences who are intrigued by the blend of nostalgia and cutting-edge technology. The clip serves as a case study in how AI-assisted media can extend the reach of classic works while inviting new interpretations from contemporary listeners.
Earlier discussions in tech circles noted how neural networks and AI content tools could affect employment across fields such as accounting, law, design, copywriting, and marketing. Surveys of business leaders in various markets reveal that a meaningful portion believes AI may eventually automate a broad set of professional tasks, prompting conversations about skills, adaptation, and the pace of change for North American workers.