Sesame Summit 2026 – application open

Ben’s List 44

Web3

Digital ownership, the birth of a new concept

“From a legal standpoint, our immersion in this entirely digital world is posed to challenge a number of legal concepts that have arisen out of the material world, including the fundamental concept of ‘ownership’. Important questions, such as whether virtual assets qualify for ‘ownership’, or whether new forms of ownership will emerge from the metaverse, are going to demand attention from users of the metaverse, and potentially from law makers, as the world transitions into virtual environments.”

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Fat Protocols

“What’s significant about this dynamic is the effect it has on how value is distributed along the stack: the market cap of the protocol always grows faster than the combined value of the applications built on top, since the success of the application layer drives further speculation at the protocol layer. And again, increasing value at the protocol layer attracts and incentivises competition at the application layer. Together with a shared data layer, which dramatically lowers the barriers to entry, the end result is a vibrant and competitive ecosystem of applications and the bulk value distributed to a widespread pool of shareholders. This is how tokenized protocols become ‘fat’ and its applications ‘thin’.”

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Publishing on crypto

“Crypto’s innovation is infusing value exchange with all the desirable attributes of a digitally-native information medium—programmability, interoperability, composability, virality, transferability. Importantly, crypto solved the one major limitation of digital mediums that previously made them unsuitable for a purely digital representation of value—scarcity guarantees.

Crypto protocols therefore blur the line between information and value. They encode value as information, and, consequently, information as value. Crypto turns media into financial assets, and as well as financial assets into media.

With crypto, sending five dollars to a relative across the globe is finally as easy as sending them a family photo.”

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Chris Dixon and Packy McCormick on the future of crypto

“The year ahead will show that blockchains can support a lot more applications beyond money and finance. In 2022 decentralised services will chip away at big tech companies’ stranglehold on the internet. A cluster of new ‘web3’ technologies, such as tokens, will dramatically improve the digital economics of creators, technologists and small businesses.”

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Crypto & NFTs: Network Effects in Web3

“The second possibility is that we are still too early in the web3 cycle for sustainable defensibility to emerge — similar to Yahoo during the early years of web 1.0 and Myspace in web 2.0. In other words, most projects are still experimenting with the capabilities of web3. And the long-term winners — with stronger and more defensible network effects — will only emerge after this phase of experimentation.”

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GovTech

Game Design for Public Services

“Gamification, or the use of game mechanics in non-game contexts, has demonstrated a unique ability to capture attention and promote behaviour change in users. This is true across a number of fields that are relevant to public sector challenges, including Health and Social Care, Sustainability, and Education. We explore the opportunities for Gamification to transform public service design across these areas, as well as in Diversity and Inclusion and Financial Welfare and Wellbeing, and make recommendations for government to enable and take advantage of this transformation.”

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  • public.io/research-reports/game-design-for-public-services (Report) :: Jess Taylor + Lichelle Wolmarans

Art

Generative Art Guide: Examples, Software and Tools to Make Algorithm Art

“Generative Art is a process of algorithmically generating new ideas, forms, shapes, colors or patterns. First, you create rules that provide boundaries for the creation process. Then a computer  follows those rules to produce new works on your behalf.”

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Generative Art by Manolo Gamboa Naon, an Argentinian artist who uses algorithmic tools including Processing to create art.

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Fundraising 4 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.

Fundraising 5 days ago

Belfast's Cloudsmith has raised $72M Series C led by TCV, with Insight Partners participating, to expand its artifact management platform and secure the AI-era software supply chain.

Fundraising 5 days ago

Berlin’s VREY has raised €3.3M seed led by Rubio Impact Ventures to roll out rooftop solar software for Germany’s multi-family buildings.

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