Deezer Strikes Deal to Change Monetization Model for Ambient Sounds

Deezer Strikes Deal to Change Monetization Model for Ambient Sounds

Deezer and Universal Music have reached an agreement to change the monetization model for ambient sounds and non-music content on the streaming platform. The new model, branded as “artist-centric,” will demonetize certain non-artist audio and replace it with Deezer’s own functional music. Streams by professional artists, defined as those with a certain number of monthly streams and unique listeners, will count for double. Despite the potential benefits for professional artists, critics argue that the model may overlook independent and avant-garde musicians. The agreement aims to address fraudulent activities and gaming behaviors on the platform.

Improving AI Output: Techniques to Minimize Hallucination

Improving AI Output: Techniques to Minimize Hallucination

AI hallucination, which produces inaccurate or irrelevant outputs, can be minimized through techniques such as clear prompts, grounding, constraints and rules, multi-step prompting, assigning a role to AI, and adding contextual information. These techniques help prevent ambiguity, errors, bias, and inappropriate outputs in AI-generated content.

AI’s Water Consumption and the Potential Automation of CEOs

AI’s Water Consumption and the Potential Automation of CEOs

The tech industry’s water consumption problem has been highlighted, particularly in the AI sector, where cooling needs contribute to excessive water usage. Microsoft’s recent environmental report revealed a 30% increase in water usage. AI’s energy intensity and cooling requirements pose challenges in reducing water consumption. Tech writer Ed Zitron suggests redefining or automating the role of CEOs, emphasizing the need for connectedness to the work-product and understanding the production process. Generative AI, while seen as cost-saving for companies, lacks true intelligence and creativity.

The Pros and Cons of Voice Cloning

The Pros and Cons of Voice Cloning

Voice cloning is a technology that replicates a specific person’s voice, offering efficiency, consistency, and accessibility in content creation. It saves time for creators, provides consistent output, and enables access to projects for users with limited speech capabilities. However, it lacks nuance and emotion compared to a real person’s voice, risks market saturation, and requires a significant initial time investment. Despite its drawbacks, voice cloning remains a powerful tool in content creation when used consciously and creatively.