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Ben’s List 27

But I feel you and it can be one of the most interesting ways to enjoy your time off: reading articles from Ben’s List 🙂

Check out my Selected profile to dive into previous posts and (re)discover around 300 articles that made it to my weekly selection.

This week is a short post since it’s my last one before we take a break and return on August 19th. We cover marketing, venture capital and startup astronomy.

Strategy

Choosing Your North Star Metric

“Whatever companies choose as their guiding metric, all energy and brainpower will flow in that direction. This can be hugely effective — it has worked wonders for companies like Airbnb, Netflix, and Uber, especially early on — but it can also be dangerous. By maintaining a laser focus on a single metric for too long, teams risk short-term thinking, missing new opportunities, and sacrificing the user experience.”

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Venture Capital

The future of VC is decentralized

“VC is a relationship business… this is why industry folks tend to be so resistant to process and tooling. And yet we shouldn’t forget that the relationships in VC are governed by numbers. The relationship between a VC and a founder is governed by the cash and equity.”

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Startup cities in the Entrepreneurial Age

“Each day, more than two new unicorns emerged globally during 2021. There are now 1,601 unicorns and $1B+ exits of which 1,071 still private unicorns. The combined global value of tech companies has ballooned to over $35 trillion, of which $18T from companies founded after 2000, and $10T from companies founded after 2010. The rate of innovation is accelerating.”

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Marketing

Virality deep-dive: Virality vs. Network Effects

“Network Effects and Virality are often confused in the online content world, possibly because the two often occur together and, in such cases, end up reinforcing each other. Network effects and Virality are, however, completely different. There are many products which have network effects but are not viral. Conversely, many viral products do not have network effects.”

Network Effects – A product with network effects gets more valuable as more users use it. They are achieved only after a certain critical mass is reached but can prove to be a very strong source of value and competitive advantage beyond that point.

Virality – A viral product is one whose rate of adoption increases with adoption. Within a certain limit, the product grows faster as more users adopt it. There are many products that exhibit virality without exhibiting network effects.

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TED Talks Are Coming to Clubhouse

“‘For nearly forty years TED has brought the world’s preeminent ideas, imaginations and voices to audiences,’ Stoetzel said in a statement. ‘This partnership will bring those minds into a dialogue with the millions of creators who make up the Clubhouse community.'”

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LAWRENCE SUMULONG/GETTY IMAGES

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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.

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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