Sesame Summit 2026 – application open

Dava Newman

As a former NASA Deputy Administrator, Dava Newman has extensive expertise in aerospace biomedical engineering, particularly in areas such as human performance in different gravity environments, spacesuit design, and navigation aids for astronauts during spacewalks. These days, as director of the MIT Media Lab, she finds herself in an entirely different domain: a melting-pot with a multi-inter-transdisciplinary approach towards innovation, as she calls it, with one goal: to have an IMPACT.

Newman’s work at the MIT Media Lab revolves around her passion for what she calls “transformative technology” at large. The excitement in her voice is contagious, as she shares her thoughts on how we can harness and integrate the power of general artificial intelligence to enhance the human experience.

Highlights:

1. Enhancing the human experience

Dava shares with us the numerous ways in which the intention to uncover how we can use AI and technology to enhance the human experience remains central to all the work done at the MIT Media Lab is. She argues how the quality of life we experience must remain central to the conversation of how to create responsible and trusted AI, and how shaping human behavior in using these tools is as critical as shaping the algorithms we create.

2. Current challenges of humanity

In sharing the current research themes focused on by the MIT Media Lab, Dava expands on the most pressing and urgent questions of our time. She expands on how the Lab centralizes their research around the following five themes, detailed in the podcast: Future Worlds (notice the plural there), Life with AI, Decentralized Societies, Cultivating Creativity, calling for a global revolution in creative thinking; and Connected Mind and Body–from bionic people to digital central nervous systems!

3. Societal implications of AI

While we’ve been talking for decades about the future of both computer-human interfaces and computer-brain interfaces, “the future is finally here,” says Dava. So now what? She discusses the role of beneficial uses of AI in the fields of medicine and disease treatment, as well as our responsibility in how we implement and use these tools to enhance the human experience in all ways possible. Educating the public at large is a necessary step that cannot be overlooked, something the Lab seeks to do in their annual Day of AI.

4. Regulation: a need for guardrails

“Policy making is slow, and technology has outpaced government policies” says Dava, sharing more on why she is pro regulation of these technologies. She details her hope for positive collaboration between Europe and the United States of America, working hand-in-hand to develop a system of standards and guardrails in protecting our shared future.

5. Encouragement for entrepreneurs, innovators, and collaboration

Dava offers words of encouragement to young entrepreneurs and innovators, urging them to believe in themselves and their dreams. She’s a firm believer in the value of persistence, even in the face of failure, and reminds us all that setbacks are part of the process on the path to success. She also discusses the importance of partnerships with industry members, ranging from small and medium-sized companies to large enterprises, in driving the work of the MIT Media Lab. Collaboration between academia and industry is crucial for advancing research and technological development. She addresses the use of space data and its relevance in understanding life here and on earth.

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Cover photo © Andy Ryan

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Fundraising 5 hours ago

London-based AI laboratory Ineffable Intelligence has emerged from stealth with a $1.1 billion seed round at a $5.1 billion post-money valuation, the company confirmed on 27 April 2026. The financing is the largest seed round ever raised by a European company and one of the largest first-money-in rounds in the global history of artificial intelligence. The round was co-led by Sequoia Capital and Lightspeed Venture Partners. Participating investors included Nvidia, DST Global, Index Ventures, Google, and the UK Sovereign AI Fund, the British government’s recently established vehicle for backing strategic AI capacity on home soil. A bet on a different path to general intelligence Ineffable Intelligence was founded in 2025 by David Silver, the former Vice President of Reinforcement Learning at Google DeepMind and the principal architect of AlphaGo, AlphaZero and AlphaStar. He is joined by three further DeepMind alumni: Wojciech Czarnecki, Lasse Espeholt and Junhyuk Oh. All four have spent the past decade at the frontier of reinforcement learning research, the discipline behind some of the most consequential demonstrations of machine learning over the past ten years. The company describes its objective as building a “superlearner” — an AI system capable of acquiring knowledge directly from its own experience rather than from human-generated text or imagery. “Our mission is to make first contact with superintelligence,” Silver said in a statement accompanying the launch. “We are creating a superlearner that discovers all knowledge from its own experience, from elementary motor skills through to profound intellectual breakthroughs.” The framing is a deliberate departure from the dominant industry trajectory. Most leading AI laboratories, including OpenAI, Anthropic and Google DeepMind itself, have built large language models trained primarily on the corpus of the internet, then refined that training with human feedback. Ineffable’s wager is that the marginal returns on scaling text-based pretraining are diminishing and that the next leap in capability will come from agents that learn endlessly from the consequences of their own actions, in much the same way AlphaZero learnt the game of Go without studying any human matches. Why $1.1 billion at seed The size of the round is unusual even by the inflated standards of the 2026 AI capital cycle. Two factors appear to explain it. First, frontier reinforcement learning at the scale Ineffable describes is computationally extraordinarily expensive: the company will need to operate vast simulation environments and train very large models against them, an undertaking that consumes capital at a rate closer to physical R&D than to traditional software. Second, the round signals a strategic move by Europe’s investor and policy ecosystems to retain the most ambitious AI researchers on the continent. The presence of the UK Sovereign AI Fund alongside Sequoia, Lightspeed and Nvidia is the clearest expression of that intent. The British government has publicly framed the investment as a bet on breakthrough AI that “can discover new knowledge”, positioning the country as a willing co-investor in domestic frontier laboratories. For Ineffable, the implication is access not only to capital but to compute, regulatory engagement and the still-resilient academic talent base around UCL, Oxford, Cambridge and Imperial. Founder pledge of historic scale Alongside the funding announcement, Silver disclosed that he is committing 100 per cent of any personal proceeds from his Ineffable equity to charity via the Founders Pledge network — described by the organisation as the largest pledge in its history. At the round’s $5.1 billion valuation, that commitment could ultimately exceed several billion dollars if the company succeeds. It is a meaningful gesture in a sector where the reputational stakes around concentrated AI wealth are escalating, and one likely to be referenced in subsequent founder-led commitments. Implications for the European AI landscape Ineffable’s emergence reshapes the European AI map in three concrete ways. It establishes London as the home of the continent’s largest-ever seed-stage company, complicating Paris’s recent narrative of frontier-AI primacy after Mistral’s earlier rounds. It validates a thesis — that reinforcement learning, not transformer scaling, is the next frontier — that has lately been losing capital share to language-model incumbents. And it confirms that the UK government is now willing to act as a balance-sheet co-investor in domestic AI laboratories, a posture much closer to the French model than to the predominantly grant-based regimes elsewhere in Europe. The execution risk is non-trivial. Reinforcement learning at frontier scale has historically required years of careful environment design before producing competitive systems, and Ineffable’s “first contact” framing sets a high bar against which it will be judged. But for now, with a billion dollars on the balance sheet, four of the discipline’s most accomplished researchers in the founding team and a sovereign co-investor at its back, Ineffable Intelligence is the most heavily resourced new entrant in the European AI cycle. Sesamers covers European fundraising rounds across deeptech, fintech and AI. Source: tech.eu.

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