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YouTube Music Launches AI-Generated Music Tagging System, Also Rolling Out to Main AppTechub News reports that YouTube Music has announced a new tagging system aimed at increasing transparency for songs created using generative AI. Listeners will be able to easily identify tracks created with AI (including composing and singing), with tags displayed on the player page. Clicking the tag reveals the specific role AI played in the creation. This tagging system will also extend to the main YouTube app. YouTube states that it works with music partners and has deployed detection tools to identify AI-generated music, allowing partners to declare tracks with three types of tags: "Fully AI Generated," "Partially AI Generated," or "Not AI Generated." This move comes as AI-generated music rapidly expands on streaming platforms. For example, Apple Music plans to launch an "AI Made" tag later this year, and Spotify already has AI tags and music spam filters. By contrast, YouTube focuses on disclosure rather than outright restrictions, and the involvement of AI itself will not disqualify a track from monetization. (TechCrunch)Techub News02:28 AM

快讯AI10/15, 02:28 AM

YouTube Music Launches AI-Generated Music Tagging System, Also Rolling Out to Main App

Techub News reports that YouTube Music has announced a new tagging system aimed at increasing transparency for songs created using generative AI. Listeners will be able to easily identify tracks created with AI (including composing and singing), with tags displayed on the player page. Clicking the tag reveals the specific role AI played in the creation. This tagging system will also extend to the main YouTube app. YouTube states that it works with music partners and has deployed detection tools to identify AI-generated music, allowing partners to declare tracks with three types of tags: "Fully AI Generated," "Partially AI Generated," or "Not AI Generated." This move comes as AI-generated music rapidly expands on streaming platforms. For example, Apple Music plans to launch an "AI Made" tag later this year, and Spotify already has AI tags and music spam filters. By contrast, YouTube focuses on disclosure rather than outright restrictions, and the involvement of AI itself will not disqualify a track from monetization. (TechCrunch)

NVIDIA Outlines Three Elements for AI Factory ROI Maximization: Productivity, Durability, and InterchangeabilityTechhub News reports that NVIDIA has outlined three key elements for maximizing ROI in AI factories: productivity, durability, and interchangeability. Productivity refers to maximizing annual revenue potential by achieving the highest throughput per megawatt and the lowest cost per token; durability refers to NVIDIA GPUs and systems continuing to generate revenue years after shipment; interchangeability refers to their ability to run various AI and non-AI workloads, thereby broadening demand. The blog cites SemiAnalysis AgentX data, stating that NVIDIA's Vera Rubin NVL72 system achieves over 30 times higher throughput per megawatt compared to the GB300 NVL72, with up to 45 times lower cost per million tokens on the DeepSeek V4 Pro model. Additionally, NVIDIA's A100 GPUs, shipped since 2020, are still in commercial service, and CoreWeave has extended bookings for some of their units until 2029. (NVIDIA Blog)Techub News10/01, 09:10 PM

快讯AI10/01, 09:10 PM

NVIDIA Outlines Three Elements for AI Factory ROI Maximization: Productivity, Durability, and Interchangeability

Techhub News reports that NVIDIA has outlined three key elements for maximizing ROI in AI factories: productivity, durability, and interchangeability. Productivity refers to maximizing annual revenue potential by achieving the highest throughput per megawatt and the lowest cost per token; durability refers to NVIDIA GPUs and systems continuing to generate revenue years after shipment; interchangeability refers to their ability to run various AI and non-AI workloads, thereby broadening demand. The blog cites SemiAnalysis AgentX data, stating that NVIDIA's Vera Rubin NVL72 system achieves over 30 times higher throughput per megawatt compared to the GB300 NVL72, with up to 45 times lower cost per million tokens on the DeepSeek V4 Pro model. Additionally, NVIDIA's A100 GPUs, shipped since 2020, are still in commercial service, and CoreWeave has extended bookings for some of their units until 2029. (NVIDIA Blog)

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