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Nvidia Unveils “Rubin CPX” AI Chips for Video and Software Generation

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Nvidia (NVDA.O) announced plans to launch a new AI chip, dubbed Rubin CPX, by the end of next year, targeting highly complex workloads such as video generation and AI-assisted software coding. The chip will be built on Nvidia’s upcoming Rubin architecture, the successor to its current Blackwell technology.

Why It Matters

  • AI systems are rapidly evolving, with tasks like video generation and “vibe coding” (AI-assisted software creation) pushing hardware to new limits.

  • Processing one hour of video can require up to 1 million tokens, a massive challenge for current GPUs.

  • Rubin CPX will integrate video decoding, encoding, and inference into a single system, making processing faster and more efficient.

Economic Angle

  • Nvidia estimates a $100 million investment in Rubin CPX systems could generate $5 billion in token revenue.

  • Wall Street is closely watching the ability of AI hardware firms to turn capital spending into measurable returns.

Market Impact

  • Nvidia already dominates the AI chip market, with its high-end processors fueling the latest wave of generative AI.

  • The company’s move reflects both its defensive strategy against rivals and its offensive push to expand AI capabilities beyond text and images into full-scale video and software generation.

The Bigger Picture

  • Nvidia’s rise has made it the world’s most valuable company, but competition in AI infrastructure is intensifying.

  • With Rubin CPX, Nvidia is betting that integrated, video-ready AI chips will anchor the next phase of AI growth — and cement its lead in the sector.

Sweden Introduces World’s First AI Music Licence to Protect Songwriters

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Sweden’s music rights organisation STIM has launched a new licence that allows AI companies to legally train on copyrighted songs while ensuring that songwriters, composers, and publishers receive royalties. The move addresses growing disputes between creators and tech firms over the unauthorized use of copyrighted works in AI training.

STIM, which represents over 100,000 music creators, said the licence is designed to strike a balance between technological innovation and fair compensation.

How the licence works

  • AI firms can train their systems on copyrighted songs under the licence.

  • Creators receive royalties for the use of their works.

  • The licence includes mandatory tracking technology to monitor AI-generated outputs and ensure transparent payments.

Why it matters

  • The International Confederation of Societies of Authors and Composers (CISAC) warns that generative AI could reduce music creators’ income by up to 24% by 2028.

  • CISAC also projects that AI-generated music outputs could reach $17 billion annually by 2028, underscoring the economic stakes.

  • STIM’s acting CEO Lina Heyman said:

    “We show that it is possible to embrace disruption without undermining human creativity. This is not just a commercial initiative but a blueprint for fair compensation and legal certainty for AI firms.”

First adopter: Songfox

Stockholm-based startup Songfox is the first to operate under the new licence. The company allows users to create AI-generated songs and covers legally, with royalties flowing back to original creators.

Sweden’s leadership in digital music

Sweden has a history of setting industry standards in the digital music space, having previously played a central role in shaping platforms like Spotify and TikTok. The AI music licence could similarly become a global benchmark for balancing innovation and rights protection.

Apple Hit With Lawsuit Over Use of Books in AI Training

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Apple was sued Friday in federal court in Northern California by authors who accuse the company of illegally using copyrighted books to train its “OpenELM” large language models. The proposed class action, filed by writers Grady Hendrix and Jennifer Roberson, claims Apple copied protected works without consent, credit, or compensation.

“Apple has not attempted to pay these authors for their contributions to this potentially lucrative venture,” the lawsuit alleges. Neither Apple nor the plaintiffs’ lawyers immediately commented.

The case adds Apple to the growing list of tech giants—Microsoft, Meta, and OpenAI among them—facing litigation over whether training AI on copyrighted material constitutes infringement or fair use. On the same day, Anthropic agreed to a $1.5 billion settlement with authors who accused it of training its Claude chatbot on pirated books, a deal hailed as the largest copyright recovery in history.

According to the lawsuit, Apple’s models were trained on a known dataset of pirated books, allegedly including works by Hendrix and Roberson. The case seeks damages and legal recognition that Apple must compensate authors when their intellectual property is used to build AI systems.

The dispute underscores the escalating clash between AI developers and creators, as courts weigh how copyright law applies to massive datasets powering generative AI. With multiple cases now moving forward in U.S. courts, the outcome could reshape both the AI industry and protections for authors in the digital era.