DeepMind’s David Silver just raised $1.1B to build an AI that learns without human data
By Jakub Antkiewicz
•2026-04-28T10:14:57Z
A New Bet on Reinforcement Learning
David Silver, a principal researcher behind DeepMind's iconic AlphaZero program, has launched Ineffable Intelligence, a new British AI lab backed by a massive $1.1 billion funding round. The investment, co-led by Sequoia Capital and Lightspeed Venture Partners, values the fledgling company at $5.1 billion. This move signals significant investor confidence in an alternative approach to AI development, one that prioritizes reinforcement learning (RL) to discover knowledge independently of vast human-generated datasets, setting it apart from the current large language model landscape.
The company's stated goal is to create a “superlearner” capable of acquiring skills and knowledge through its own trial-and-error experience. This methodology mirrors Silver's previous work at DeepMind, where programs learned to master complex games like Go and chess without studying human matches. The round included participation from Index Ventures, Google, Nvidia, the British Business Bank, and the U.K.’s sovereign AI fund, Sovereign AI. The venture has already achieved “pentacorn” status just months after its founding.
- Company: Ineffable Intelligence
- Founder: David Silver (formerly of DeepMind)
- Funding: $1.1 billion
- Valuation: $5.1 billion
- Core Technology: Reinforcement Learning (RL)
- Objective: Develop a “superlearner” AI that learns without human data.
Ineffable Intelligence joins a growing list of ventures founded by prominent AI researchers attracting enormous initial funding, sometimes called “coconut rounds.” Last month, AMI Labs, co-founded by Yann LeCun, raised $1.03 billion. This trend, along with Recursive Superintelligence's recent large funding round, is cementing London's position as a critical global AI hub, building on the talent pool cultivated by DeepMind's long-standing presence. The influx of capital and talent into companies pursuing foundational model research beyond the current LLM architecture indicates a diversification of strategies within the AI market.
The substantial investment in Ineffable Intelligence represents a strategic bet by top-tier VCs that the next major breakthrough in AI will emerge from self-learning systems grounded in reinforcement learning, not just the scaling of data-hungry large language models.