
AI-generated music is increasingly populating streaming services, with platforms like Deezer reporting that a large percentage of new uploads are machine-made. This influx has led to backlash from both users and artists, prompting services to implement systems to detect and label AI content. Deezer has taken steps to demonetize many AI streams, aiming to protect artists' rights. Despite the growth in AI music uploads, listener engagement remains low, suggesting a preference for human-created music. The industry is working to establish standards for AI disclosures, but challenges remain in balancing innovation with listener expectations.
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© TechCrunch AIMicrosoft is positioning itself as a formidable competitor to AI giants OpenAI and Anthropic by promoting its own AI models and infrastructure. CEO Satya Nadella emphasizes the importance of enterprises maintaining control over their AI systems, advocating for a diverse model approach to avoid dependency on any single provider. This strategy is underscored by Microsoft's development of the MAI family of models and the Maya AI chips, which promise cost-effective and efficient performance. By offering a broad catalog of models, Microsoft aims to provide enterprises with flexible and secure AI solutions, challenging the dominance of established AI labs.
The music industry is taking a significant step towards AI governance with a coalition of major and independent labels proposing principles for AI-generated music chart eligibility. This initiative, alongside a new AI labeling program, aims to establish a framework for transparency and accountability in AI music production. By standardizing AI metadata and disclosure, the industry hopes to improve royalty administration and reduce fraud. While legal challenges remain, this collaborative effort marks a pivotal move towards managing AI's impact on music.