David Silver, the University College London professor who led Google DeepMind’s reinforcement learning team and created AlphaGo, has closed a $1.1 billion seed round for his months-old startup Ineffable Intelligence. The round values the London-based lab at $5.1 billion and ranks as the largest seed investment in European AI history, according to CNBC.
Sequoia Capital and Lightspeed Venture Partners co-led the round. Nvidia, Google, DST Global, Index Ventures, and the UK’s Sovereign AI Fund also participated, per TechCrunch.
The Thesis: Reinforcement Learning Over LLMs
Ineffable Intelligence’s bet runs counter to the dominant AI strategy. Where most frontier labs scale large language models trained on human-generated text, Silver argues that approach has a ceiling. “Human data is like a kind of fossil fuel that has provided an amazing shortcut,” Silver told WIRED. “You can think of systems that learn for themselves as a renewable fuel, something that can just learn and learn and learn forever, without limit.”
The company aims to build “superlearners” that acquire capabilities through trial and error inside simulations, rather than by studying human examples. Silver’s track record supports the premise: AlphaGo and its successor AlphaZero mastered chess and Go by playing against themselves, without being fed human strategies or game records, and proceeded to defeat the world’s top programs in each game.
The open question is whether that approach scales from constrained game boards to the real world. Silver told WIRED the plan involves placing agents inside simulations where they learn to achieve goals and collaborate, though he declined to specify what those simulations look like.
The Coconut Round Club
Ineffable Intelligence joins a growing class of AI startups whose founding teams attract billion-dollar seed rounds, a pattern TechCrunch calls “coconut rounds.” AMI Labs, co-founded by Turing Award winner Yann LeCun after leaving Meta, raised $1.03 billion at a $3.5 billion pre-money valuation in March. Recursive Superintelligence, founded by former DeepMind principal scientist Tim Rocktäschel, reportedly raised $500 million with demand stretching to $1 billion, according to the Financial Times.
The pattern is consistent: star researchers leave Big Tech labs, incorporate in London or San Francisco, and raise nine or ten figures before shipping a product. Investors are pricing the researchers themselves, not revenue or technology.
London as AI Capital
Three of the largest “coconut round” labs, Ineffable Intelligence, Recursive Superintelligence, and DeepMind itself, are rooted in London. Jeff Bezos’ AI lab, Project Prometheus, is reportedly in talks to secure office space near Google’s AI hub in the city, per the Financial Times. UK Science and Technology Secretary Liz Kendall framed the investment as validation of the country’s AI strategy: “This investment in Ineffable will support a company at the very frontier of AI, underlining our determination to ensure that the UK isn’t just an AI taker but an AI maker,” she said in a statement cited by CNBC.
The RL Bet for Agent Infrastructure
Silver has pledged to donate all personal equity profits from Ineffable Intelligence to charity, telling WIRED that building superintelligence “has to be done for the benefit of humanity.” Lightspeed partner Ravi Mhatre, who backed the round, told WIRED that Silver’s career amounts to “a single, coherent argument for being able to scale intelligence without human priors.”
For teams building autonomous agents, the practical signal is this: the largest AI seed round in European history just went to a lab that considers LLM-based approaches fundamentally limited. If Silver’s simulation-trained agents demonstrate real-world transfer, reinforcement learning could re-enter the stack as the planning and decision-making layer that current LLM-native agents lack. The gap between “plays Go” and “runs your infrastructure” is enormous, but $1.1 billion says enough investors think the bridge is buildable.