Sesame Summit 2026 – application open

Data trends and Clubhouse

This list was started two weeks ago. You’re looking into my brain as of February 10th. And here we are, publishing on February 18th.

As mentioned in previous articles, I always enjoy looking into patterns in these lists, especially afterwards.

There’s an overarching structure that encourages you to read through the list from books and reports, to general articles around strategy, entrepreneurship or venture capital. And then we go deeper into marketing, podcasting, newsletters – topics related to Selected – before ending with some science, gaming, arts and music.

In some occasions, there are also deeper connections between items which looks fascinating in retrospect since I never plan them. We explored them in our annual list of lists.

I feel like this is a consequence of using this list as a form of digital gardening, a way for me to collect ideas and stories worth checking afterwards. You can do it on Notion, Roam Research or Evernote. You name it.

This week, the red thread is data. It’s present on (almost) every single item. And it’s the core of what we’re building at Sesamers as mentioned in my recent Clubhouse article.

Welcome to the most Selectivest.

Books

Paving – Conversations with Incredible Women Who are Shaping Our World

A book about 25 global women leaders would be remarkable by itself. The fact that it is written by a teenage girl makes it incredible.

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The Cold Start Problem

Otherwise known as the “Chicken or Egg Problem,” the “Cold Start Problem” is a puzzle that this book promises to address by revealing “what makes winning networks successful, why some startups fail to successfully scale, and most crucially, why products that create and compete using the network effect are vitally important today.”

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RyanBerg

Big Ideas 2021 Report

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Faster Than The Future: Facing The Digital Age

Shoutout to one of this report’s co-authors who also happens to be one of my good friends, Robin Wauters

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Culture

A letter to my people: I

Ignorance is a choice, thus it is not an excuse

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MemeGenerator
  • Link: nicolasdolenc.medium.com/a-letter-to-my-people-i-b19a3ae1f8f5
  • Author: Nicolas Dolenc

Venture Capital

Turning up the heat on VC cold inbound pitch forms

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Marketing

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Battery
  • Report: battery.com/wp-content/uploads/2021/01/Battery-Whitepaper-B2BTechBranding.pdf
  • Author: Rebecca Buckman

The Loop: Our Community & Public Platform strategy & roadmap for Q1 2021

Inspired by the interplay between their Community & Public Platform teams.

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Podcast

A Post-Mortem for Social Podcast Discovery

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Data

The Data Source #2 | The Metadata Revolution ✊

It all starts with having a strong framework around extracting metadata into one source of truth, an end-to-end lineage powering use cases including data operability, access control, quality, auditability, and more.

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Pinterest

Helping the Enterprise build reliable data products

From a VC point of view, if you’re a believer in the evolution of the stack, playing the monitoring part is often a “good” bet to take.

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Source: bi-survey.com/top-business-intelligence-trends (n=2,653)

Gaming

A sneak peek at MetaHuman Creator: high-fidelity digital humans made easy

Creating one high-quality digital human is difficult and time-consuming. Scaling that effort to create many diverse digital humans of the quality required by next-gen platforms and high-end virtual production is a formidable task indeed.

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YouTube

Science

Algorithmic and human prediction of success in human collaboration from visual features

What’s the best group to win at an Escape Room game? Larger, older, and gender diverse groups are more likely to escape. And machines are better than humans at predicting the outcome.

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Music

How Music Promotion is Going to Change in 2021 (Spotify Growth, FB Ads and Beyond)

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Smarter Playlists: automate your music discovery, playlist strategy, and library organisation

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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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