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Ineffable Intelligence Raises $1.1 B, Flags Payment System Limits

4/28/2026

Summary

Ineffable Intelligence Raises

Ineffable Intelligence, founded by David Silver, raised $1.1 billion on April 27 in a round led by Sequoia Capital and Lightspeed Venture Partners.
The capital will fund a “superlearner” that creates knowledge from its own experience, learns in engineering environments, and uses returned signals to produce new theorems and frameworks.
PYMNTS warned that legacy payment infrastructure, built for human-initiated linear transactions, cannot support the high-velocity, parallel activity of autonomous AI agents.

Summary

Ineffable Intelligence Aims

Ineffable Intelligence aims for first contact with superintelligence using a self-learning superlearner.
Sequoia Capital co-leads the lab’s initial funding round as a strategic partner.
The system will be trained solely through reinforcement learning, without any pre-training or human data.
Silver says the clean-base method could rediscover physics, create new mathematics, and design novel materials, though the timeline to superintelligence remains uncertain.

Summary

British Bank Invests

The British Business Bank and the £500 million Sovereign AI fund invested $20 million and an undisclosed sum in Ineffable Intelligence’s seed round.
A Sovereign AI unit will link AI start-ups to Britain to avoid a DeepMind-to-Google sale like the £400 million 2014 deal.
Science and Technology Secretary Liz Kendall will speak at RUSI urging reduced reliance on US technology.
David Silver said future profits from the company will be donated to causes.

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Ineffable Intelligence Raises

Ineffable Intelligence, founded by David Silver, raised $1.1 billion on April 27 in a round led by Sequoia Capital and Lightspeed Venture Partners.
The capital will fund a “superlearner” that creates knowledge from its own experience, learns in engineering environments, and uses returned signals to produce new theorems and frameworks.
PYMNTS warned that legacy payment infrastructure, built for human-initiated linear transactions, cannot support the high-velocity, parallel activity of autonomous AI agents.

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