According to a newsletter sent to music industry partners about the new system, Apple Music advises that tags should be applied when a “material portion” of the content has used AI. “These new tagging requirements provide a concrete first step toward the transparency necessary for the industry to establish best practices and policies that work for everyone,” the announcement reads.
Source: Apple Music Introduces Tagging for AI Songs, Its First Regulation on AI Use
The number of AI studios blanketing Hollywood, along with the VC dollars to power them, is increasing at an astonishing rate. Hollywood-focused video-generation platform Runway AI revealed a new cash raise of $315 million; Saudi Arabia led a $900 million funding round for Amit Jain’s startup Luma; all-purpose AI giant Anthropic raised $30 billion.
Source: The Fight Over AI in Hollywood Is a Battle Between Money and Activism
The tech giant debuted Lyria 3 today, touting the DeepMind-developed model as its most advanced music offering to date. At the top level, this refers to automatic prompt-based lyric generation, bolstered control over outputs, and the ability to pump out “more realistic and musically complex tracks.” Against the backdrop of a rapidly evolving AI sector – and increasingly intense competition on the music-generation side – these improvements don’t necessarily come as a surprise.
Source: Google Brings Lyria 3 Into Gemini, Expands ‘SynthID’ Support
Google announced on Wednesday that it’s adding a music-generation feature to the Gemini app. To use the feature, you’ll describe the song you want to create, and the app will generate a track along with lyrics. For instance, you could ask Gemini to create a “comical R&B slow jam about a sock finding its match,” and the app will generate a 30-second track along with cover art made by Nano Banana.
Source: Google adds music-generation capabilities to the Gemini app | TechCrunch
Ultimately, the Chroma Awards entries shared two things in common: Firstly, they revealed that the technology is not yet mature enough for ambitious ideas. Secondly, the storytelling skills of these AI creators could not disguise the fact that their films are artificial. But there is optimism in the community that both these hurdles can be cleared.
Hollywood and creative industries are fighting back against AI infringement, with one startup offering proprietary technology to detect suspected misuse of copyrighted material within generative AI models. LightBar, a research platform focused on AI training data, positions itself as the evidence layer that makes those threats actionable.
Source: Hollywood’s AI Crackdown Opens Door for Copyright Detection Startups – Decrypt
Chinese tech giant ByteDance has said it will strengthen safeguards on a new artificial intelligence video-making tool, following complaints from entertainment giants. “ByteDance respects intellectual property rights and we have heard the concerns regarding Seedance 2.0,” a company spokesperson said. “We are taking steps to strengthen current safeguards as we work to prevent the unauthorized use of intellectual property and likeness by users.”
Source: ByteDance says it will add safeguards to Seedance 2.0 following Hollywood backlash
Sony Music Group‘s parent company, Japan-headquartered Sony Group, has reportedly developed technology to identify copyrighted music embedded in AI-generated tracks. That’s according to the financial news outlet Nikkei Asia, which reported on Monday (February 16) that the tech has opened a path for songwriters to claim compensation when their work is used without authorization.
Source: Sony Group develops tech to track original music in AI-generated songs (report)
The Motion Picture Association on Thursday denounced the newest AI video generator, Seedance 2.0, saying it had unleashed a flood of copyright infringement in the day since it became available. ByteDance, the Chinese owner of TikTok, said the model represents a “substantial leap in generation quality” since the previous version.
Spotify says it wants to enable listeners to interact with their favorite artists’ music through AI – and that the technology to do so is already built. The barrier? Licensing. The comments land amid an intensifying industry debate over how AI-powered derivatives of existing music should be licensed and monetized – and where fans should be allowed to create them.