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Home AI Article

David Silver Raises $1.1 Billion to Develop Autonomous AI Systems Without Human Data
(Synopsis)

by ainewsarticles
April 27, 2026
in AI Article, Business, Business & Finance, Education & Society, Favorite, Grant & Philanthropy, Nation & World, Natural & Artificial, Science, Science & Technology, Society
Reading Time: 1 min read
David Silver Raises $1.1 Billion to Develop Autonomous AI Systems Without Human Data
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Ineffable Intelligence, a British artificial intelligence laboratory, established recently by former DeepMind researcher David Silver, has secured $1.1 billion in funding, achieving a valuation of $5.1 billion. The company endeavors to develop a “super-learner” that acquires knowledge and skills independently, without relying on human-generated data, by applying reinforcement learning – a process in which AI improves through trial and error, a field in which Silver specializes. Silver, a professor at University College London and former leader of DeepMind’s reinforcement learning team, contributed to creating AI programs such as AlphaZero, which mastered chess and Go solely through experience. Ineffable Intelligence aspires to replicate this approach, aiming for a breakthrough in intelligence comparable to Darwin’s impact on biology, as stated on the company’s website. Silver has expressed that any profits generated will be donated to high-impact charities.

The fundraising round, spearheaded by Sequoia Capital and Lightspeed Venture Partners with investors including Index Ventures, Google, Nvidia, the British Business Bank, and the U.K.’s sovereign AI fund Sovereign AI, places Ineffable Intelligence among a growing group of AI ventures in London with multi-billion dollar valuations. This trend reflects London’s rising status as an AI center, supported by DeepMind’s ongoing influence and interest from other major entities such as Jeff Bezos’ AI initiative, Project Prometheus. The new enterprise also benefits from a strong network of former DeepMind personnel joining its leadership team.

 

 

The ainewsarticles.com article you just read is a brief synopsis; the original article can be found here: Read the Full Article…

 

 

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