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ElevenLabs Unveils Music V2: A New Era For AI-Driven Music Composition

by THEFUTURE.TEAM

May 28, 2026

ElevenLabs introduced Music V2, an updated version of its AI music-generation model designed to support more advanced genre transitions, song structure editing and multilingual audio generation. The release expands the company’s capabilities in AI-generated music production as competition intensifies across the broader generative audio market.

Advanced Genre-Switching Capabilities

According to ElevenLabs, Music V2 can transition between multiple music genres within a single track, including combinations involving opera, heavy metal and rap. Music V2 also supports both vocal and instrumental composition while allowing users to incorporate sound effects and more complex audio arrangements. The updated model replaces the company’s earlier music-generation system, launched approximately 10 months ago.

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Enhanced Composition And Customization

Users can create longer-form compositions by generating separate sections, including intros, verses and choruses. Individual parts of a track can also be regenerated through text prompts without modifying the entire composition. ElevenLabs said the model includes improvements involving multilingual generation, vocal flexibility and more detailed arrangement control.

Driving Innovation In The AI Music Landscape

The launch comes as major technology companies continue expanding their presence in AI-generated music and audio tools. Companies including Google, Stability AI and Suno have also introduced systems capable of producing longer and more complex music tracks. Recent developments across the sector have included AI-generated cover songs, section-based editing tools and music video generation features.

Commercial Licensing And Strategic Partnerships

ElevenLabs said Music V2 was trained using licensed data and is approved for commercial use. The company positioned licensing agreements as an important component of its strategy, as legal disputes surrounding copyright and training data continue affecting parts of the AI music industry. Music V2 is currently available through the company’s ElevenCreative platform, while additional music production tools are expected to be integrated into ElevenMusic and the upcoming ElevenAPI service.

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A New Twitter-Inspired Social Network Is Taking Shape

by News Editor

August 27, 2026

A new social network called Twitter.now is entering the market, with a founding team that includes former Twitter trademark counsel Stephen Coates. The service is being developed by startup Operation Bluebird.

As Ars Technica reported, X sued the company last year and asked a Delaware judge to block the launch. Operation Bluebird argued in a petition that X had abandoned trademarks including “Twitter” and “Tweet.”

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Coates has said the project is not an attempt to recreate the original Twitter. In a LinkedIn post, he described the platform as a new public space focused on trust, transparency and user choice.

AI System To Rate Posts

Twitter.now is currently being tested, with early access priced at $20. Its main feature is VERA, an AI system designed to evaluate posts, verify claims and provide sources and context.

Posts receive a trust score, with users eventually able to set a minimum score to filter their feeds. The company says this approach will give people more control over what they see instead of leaving those decisions entirely to an algorithm.

Moderation Remains A Challenge

Scaling moderation will be one of the platform’s biggest tests. Social networks have repeatedly struggled with content moderation as their communities grow, and newer platforms such as Bluesky have faced similar criticism.

Operation Bluebird says VERA will form the basis of its moderation and verification system. A second version is already planned, with expanded tools that would let users set a specific trust threshold for the posts appearing in their feeds.

For now, Twitter.now remains in an early testing phase, combining the familiarity of the Twitter name with an AI-driven approach to evaluating online information.