ElevenLabs has released Music v2, an AI music generation model capable of seamlessly transitioning between opera, heavy metal, rap, and other genres within a single composition. The update includes an inpainting feature that lets users regenerate specific sections independently.
ElevenLabs Music v2 represents a significant advancement in cross-genre AI music generation. The model maintains musical coherence while shifting between vastly different styles—a technical challenge that previous iterations struggled with. Users can now compose tracks that blend opera and metal, or rap and classical, without jarring transitions or loss of harmonic integrity.
The inpainting capability adds a new layer of control. Rather than regenerating entire compositions, users can target specific sections—a verse, chorus, or bridge—and request modifications while preserving the surrounding music. This granular editing approach streamlines the creative process and reduces computational overhead.
The release addresses limitations in earlier AI music tools, which typically excelled within single genres but faltered when attempting stylistic shifts. ElevenLabs' architecture now handles the computational complexity of maintaining musical structure across disparate genres.
Music v2 continues ElevenLabs' expansion beyond its original text-to-speech focus. The company has progressively broadened its AI capabilities into voice cloning, sound effects generation, and music composition—positioning itself as a comprehensive audio generation platform.
The upgrade follows growing demand for AI tools that facilitate creative experimentation. Musicians and producers increasingly use generative AI for ideation and prototyping, though questions about training data sourcing and artist compensation remain industry-wide concerns.
ElevenLabs has not announced specific pricing or availability details for Music v2, though the company typically operates through tiered subscription models for its other products.
A comparative study found Claude Code consumes nearly five times more tokens than OpenCode before even processing user prompts, raising efficiency concerns for developers managing API costs.
A new study finds that AI tools are helping researchers advance their careers faster while simultaneously narrowing the range of ideas being explored. The research suggests AI adoption in science may be creating a homogenizing effect on academic discovery.
LinkedIn accounts for nearly two-thirds of all AI-generated long-form posts across major social platforms, according to a Pangram analysis. The platform's 41 percent AI-written rate far exceeds competitors despite making up only a third of all scanned posts.
The autonomous vehicle industry confronts mounting demands for real-world performance and regulatory compliance. Companies must prove viability or face increased scrutiny.