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Ineffable Intelligence Raises $1.1 Billion For AI Expansion

A Bold New Vision For Artificial Intelligence

British AI lab Ineffable Intelligence has emerged as a formidable disruptor in the technology arena, recently securing $1.1 billion in funding at a valuation of $5.1 billion. Founded by former DeepMind researcher David Silver, the firm is poised to challenge the prevailing paradigms in AI by developing groundbreaking models that transcend the capabilities of current large language models.

Revolutionizing Learning Through Reinforcement

Central to the company’s strategy is a system described as a “superlearner”. Development is based on reinforcement learning, where models improve through interaction and feedback rather than relying primarily on human-curated datasets. This approach builds on methods previously demonstrated in systems such as AlphaZero, which learned complex tasks through self-play.

Legacy And Ambition Collide

Work at DeepMind shaped Silver’s approach to AI development. Projects involving games such as chess and Go demonstrated how systems can achieve high performance through iterative learning. At Ineffable Intelligence, this direction is being extended toward more general applications, to identify scalable principles for training AI systems.

Strategic Investments And The Future Of AI Hubs

The funding round included investors such as Sequoia Capital, Lightspeed Venture Partners, Index Ventures, Google, and Nvidia. Additional support from institutions, including the British Business Bank, reflects broader interest in strengthening the domestic AI sector.

London’s Role In AI Development

London continues to attract AI investment and talent. The ecosystem has expanded since Google’s acquisition of DeepMind in 2014, with new ventures and research initiatives building on that foundation. Emerging companies, including Recursive Superintelligence, indicate continued activity in the local market.

Philanthropy And Purpose-Driven Innovation

David Silver has indicated that a portion of his personal earnings will be directed toward charitable initiatives focused on life-saving interventions. This commitment adds a social dimension to the work of Ineffable Intelligence, alongside its focus on advancing AI research and system development.

As competition in AI model development intensifies, attention will focus on whether the company can translate its research approach into scalable, self-learning systems. Its funding base and technical direction position it among closely watched entrants in the sector.

A New Twitter-Inspired Social Network Is Taking Shape

A new social network called Twitter.now is entering the market, with a founding team that includes former Twitter trademark counsel Stephen Coates. The service is being developed by startup Operation Bluebird.

As Ars Technica reported, X sued the company last year and asked a Delaware judge to block the launch. Operation Bluebird argued in a petition that X had abandoned trademarks including “Twitter” and “Tweet.”

Coates has said the project is not an attempt to recreate the original Twitter. In a LinkedIn post, he described the platform as a new public space focused on trust, transparency and user choice.

AI System To Rate Posts

Twitter.now is currently being tested, with early access priced at $20. Its main feature is VERA, an AI system designed to evaluate posts, verify claims and provide sources and context.

Posts receive a trust score, with users eventually able to set a minimum score to filter their feeds. The company says this approach will give people more control over what they see instead of leaving those decisions entirely to an algorithm.

Moderation Remains A Challenge

Scaling moderation will be one of the platform’s biggest tests. Social networks have repeatedly struggled with content moderation as their communities grow, and newer platforms such as Bluesky have faced similar criticism.

Operation Bluebird says VERA will form the basis of its moderation and verification system. A second version is already planned, with expanded tools that would let users set a specific trust threshold for the posts appearing in their feeds.

For now, Twitter.now remains in an early testing phase, combining the familiarity of the Twitter name with an AI-driven approach to evaluating online information.

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