Michael Caine's official AI voice for sale

PLUS: Meta’s top AI scientist quits, SoftBank sells its Nvidia stake

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Gen AI Art
November 13, 2025 • Estimated Reading Time: 10 minutes

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ElevenLabs is tackling the growing issue of unauthorized deepfakes with a new marketplace for officially licensed AI voices, launching with Sir Michael Caine as a flagship partner.

The new platform provides a legitimate pathway for creators to use iconic voices while compensating rights holders. But will this rights-respecting model be enough to outpace the spread of unauthorized deepfakes and set a new industry standard?

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What’s new? ElevenLabs has launched its Iconic Marketplace, a new platform where creators can officially license the AI-generated voices of celebrities and historical figures.

What matters?

  • The platform launched with Sir Michael Caine as a flagship launch partner, alongside a library that includes the voices of Dr. Maya Angelou, Alan Turing, and Judy Garland.

  • This system allows creators to ethically license voices for commercial projects by submitting proposals for approval by the rights holders, ensuring everyone is compensated.

  • There is already notable commercial adoption, with companies like Square using the technology for AI restaurant ordering and MasterClass cloning instructor voices like Gordon Ramsay's.

Why it matters?

This marketplace provides the first scalable, rights-respecting solution to the growing challenge of unauthorized voice clones and deepfakes. It opens up new revenue streams for public figures and their estates while giving creators a legitimate path to using iconic voices.

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What’s new? Turing Award winner and Meta's Chief AI Scientist, Yann LeCun, is reportedly leaving the company to launch a new startup focused on “world models.”

What matters?

  • LeCun's new venture signals a major pivot from the industry's focus on Large Language Models, instead concentrating on systems that learn from video and spatial data.

  • His approach is based on a concept he calls JEPA, which helps an AI build an internal understanding of how the world works rather than just predicting the next word.

  • The departure follows months of internal friction at Meta after a major AI restructure placed LeCun's long-standing FAIR research arm under new leadership.

Why it matters?

LeCun's exit represents a high-profile bet against the current LLM-dominated landscape by one of AI's foundational figures. His startup now takes Meta's internal debate about the future of AI and turns it into a public, real-world competition.

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What’s new? Japanese tech investor SoftBank sold its entire stake in Nvidia for $5.8 billion, redirecting the capital to go all-in on AI application leaders like OpenAI.

What matters?

  • The move signals a strategic pivot from backing AI infrastructure (chips) to what CEO Masayoshi Son sees as the next phase of value: AI applications, with plans for going 'all in' on OpenAI.

  • This is SoftBank’s second exit from the chipmaker; a $4 billion stake sold in 2019 would be worth over $150B today, highlighting the high-risk, high-reward nature of Son’s investment strategy.

  • The sale initially stoked fears of an AI bubble, with investors questioning the capital returns on massive AI spending across the tech industry.

Why it matters?

This major shift suggests one of tech's boldest investors believes the biggest returns will now come from AI applications, not just the hardware that powers them. The move signals a new phase of AI investment where value is increasingly tied to real-world platforms and deployment.

Everything else in AI

Meta unveiled its Omnilingual ASR model, an automatic speech recognition system capable of understanding over 1,600 languages.

World Labs launched Marble, a new "world model" from Fei-Fei Li's startup that allows creators to generate fully explorable 3D worlds from simple text prompts.

Moonshot AI released Kimi K2 Thinking, a new open-source agent designed to improve complex reasoning and problem-solving abilities.

Researchers found that framing prompts with "curiosity" can boost an AI model's accuracy by up to 33% on complex reasoning tasks by encouraging it to explore more alternative solutions.

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