AI Music Scammer Gets Caught Then Hires Real Humans

AI is increasingly impacting the music industry, with AI-generated songs, performances, and even record deals becoming common. An AI R&B artist, Zaniah Monet, signed a multi-billion dollar deal, and AI groups like Velvet Sundown have gone viral. Streaming platforms detect tens of thousands of AI songs daily, with nearly 34% of Spotify uploads being AI. A unique story emerged in mid-2025 with the mysterious Japanese metal band Neon Oni. They quickly gained over 80,000 monthly Spotify listeners and 1.2 million streams for their top song. The band, supposedly composed of seven members, released music videos on YouTube and Instagram, initially garnering enthusiastic fan reactions. However, as more content appeared, fans noticed AI-generated artifacts, leading to a heated debate within the community about whether the band was artificial. Accusations spread, and the band began deleting comments, confirming suspicions. Online sleuths determined that Neon Oni was allegedly the creation of a European AI music prompter using Suno, who had fooled almost 100,000 people. The creator eventually broke their silence, stating that what began as a small AI experiment grew unexpectedly due to public interest. The demand for "more" and to "make it real" led to a surprising twist: seven real musicians from Tokyo were recruited to perform the AI-generated songs live. Neon Oni has since played several live shows, marking the first high-profile case of music transitioning from AI to human performance. Similarly, Zaniah Monet's AI prompter plans to hire a singer for live shows despite backlash. This raises questions about the nature of music. While some might view it as akin to cover bands or ghostwritten songs, which have existed for decades, others argue it bypasses music's core purpose as an expression of human experience. Generative AI, in this view, commoditizes music by merely mimicking emotions. While some care, others don't. The speaker, a guitarist for over 20 years, acknowledges his bias but refrains from dictating a stance. For those concerned about an AI-dominated music future, solutions exist. The streaming platform DA has a tool that detects AI music with 98% accuracy, but platforms need incentives to implement them, as more AI content can mean more revenue. Spotify has removed over 75 million "low-effort" AI tracks, which is a start. However, the problem extends beyond platform flooding. AI music can directly harm artists. Singer-songwriter Murphy Campbell had her music stolen by an AI prompter who then copyrighted her original work, preventing her from earning royalties. The AI engine mimicked her voice and playing from YouTube videos, and the distributor, Vidia, even claimed copyright on Murphy's own videos, illustrating the "wild west" nature of the current landscape. Beyond music, AI has seen other remarkable and concerning developments. Chinese robots competed in a half marathon, with one, "Lightning," winning in 50 minutes, beating the human world record by 6 minutes. AI video generation has advanced significantly with tools like Seed Dance 2, producing realistic short films that have gone viral. While impressive, these tools raise concerns about replacing animation work and the ethical implications of using stolen art for training data. AI is also fueling online scams, prompting the use of services like Delete Me to protect personal information from data brokers. South Korea introduced its first robotic monk, and China now offers specific robot insurance due to the prevalence of humanoid robots. OpenAI updated its voice model, making it more intelligent, but the company faces financial challenges and a lawsuit from Elon Musk. French robotics company Genesis AI revealed Genie 26.5, powering a highly dexterous robot trained on 200,000 hours of human hand data. Figure Robotics showcased a robot autonomously performing household chores and scaled up production. Chinese company X Square offers a home robot cleaning service for $21 a visit. However, public sentiment towards AI is at a record low, with only 17% of Americans believing it will have a positive impact. A surveillance AI wrongly identified a grandmother, leading to her imprisonment for six months and the loss of her home and car. This incident highlights the dangers of using AI in critical applications where accuracy is paramount. Other incidents include a restaurant robot uncontrollably dancing, a consulting firm being hacked through internal AI tool vulnerabilities, and Yahoo's CEO lamenting AI-generated "slop" clogging management. OpenAI's data center plans are collapsing due to a shortage of electrical equipment, forcing them to rent hardware. Gamers are furious at Nvidia for releasing an AI filter for games, which some argue destroys the original artistic vision. UK lawmakers rejected a proposal to legally allow AI to use copyrighted works. Pokémon Go players discovered their data was used to train real-world robots. There's a global push for a "no AI" logo. Evidence suggests that while AI may lower the barrier to coding, it can also slow productivity due to error-riddled code. A website where AI agents hired humans for tasks was immediately hacked because it was "vibecoded with AI." On a positive note, an Australian man, with no medical background, used AI (ChatGPT and AlphaFold) to collaborate with scientists and create a personalized cancer vaccine for his dying dog, Rosie. The vaccine dramatically shrunk her tumor, raising hopes for similar human applications. This episode demonstrates the diverse and rapidly evolving landscape of AI, presenting both incredible advancements and significant challenges in various sectors, from music and robotics to privacy and ethics.