Sesame Summit 2026 – application open

Ben’s List about VC and Big Tech – Selected

I love investors and investors love me – I believe. But if you spend time on VC Twitter, it’s hard to avoid some well deserved criticism. This week, I’m sharing a bunch of articles that question the morals of venture capitalists. We’re also looking into how VCs raise funds with LPs.

As usual, I’m also sharing some articles about Big Tech and how to keep it under public scrutiny.

The case of Timnit Gebru, ethics researcher at Google, is appalling.

At the same time, DeepMind (part of the Google empire) is unveiling a breakthrough in protein modeling that will impact the lives of millions.

Don’t worry, we also provide your weekly dose of business insights in community building, newsletter, podcast and marketing.

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Book

Future Of Text 2020

A single sentence on a piece of paper does not hold the same power as a single sentence in a tweet and the ease of publishing vastly overpowers what was possible to print and read on paper.

Digital text holds real, untapped potential because of its inherent interactivity and we have a choice: We can learn to control the vast sea of digital text–or be controlled by it.

Venture Capital

Some of our readers complain about VC bashing. Guess what, we know who’s behind @VCbrags!

blog post
I’m writing this article to discuss some of the issues surrounding this account. I’m going to try to keep it as brief and to the point as possible. As I’ve mentioned in my original tweet, if you want…
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  • Link: vcbrags.medium.com/blog-post-ba33bd710d96
  • Author: VCs Congratulating Themselves

How Venture Capitalists Are Deforming Capitalism

Even the worst-run startup can beat competitors if investors prop it up. The venture capital firm Benchmark helped enable WeWork to make one wild mistake after another—hoping that its gamble would pay off before disaster struck.

How Venture Capitalists Are Deforming Capitalism
Even the worst-run startup can beat competitors if investors prop it up. The V.C. firm Benchmark helped enable WeWork to make one wild mistake after another—hoping that its gamble would pay off before disaster struck, Charles Duhigg writes.
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The VC “Strips off” – Silicon Roundabout Ventures VC Fund Deck Reviewed Live by Draper Esprit LP

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Alternative Assets

Window shopping for expired Domain Names

Want to Build a Side Business? Just Buy a Great Domain Name

Window shopping for expired Domain Names

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Politics

Democratic Source Code for a New U.S.-EU Tech Alliance

I found this one particularly relevant to our Selected Salon with Dr. Jen Schradie.

Democratic Source Code for a New U.S.-EU Tech Alliance
The incoming Biden administration should seek to build a U.S.-EU alliance that will hardwire democratic governance into everything digital.
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We read the paper that forced Timnit Gebru out of Google. Here’s what it says

The company’s star ethics researcher highlighted the risks of large language models, which are key to Google’s business.

We read the paper that forced Timnit Gebru out of Google. Here’s what it says
The company’s star ethics researcher highlighted the risks of large language models, which are key to Google’s business.
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Marketing

Social media predictions for 2021

  • There will be more censorship (ie: Twitter) and less censorship (ie: Parler)
  • Community and commerce will converge
  • The rise of implicit social networking
  • There will be two breakout audio social networks
  • Paying for social will become the norm
  • We will see one breakout crypto community
  • There will be 1-2 new novel ways of hanging out virtually
  • TLDR; social is becoming “stretchy”

Social media predictions for 2021
Social apps are changing rapidly. Really rapidly. Here are a few of my predictions as to how social apps will continue to evolve in 2021. There will be more censorship (ie: Twitter) and less censorship (ie: Parler) Parler is like Twitter but with zero censorship. It’s the Mecca for the deplatformed,…
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The Online Community Engagement Ladder

The community engagement ladder is a framework that acknowledges that members interact with your community in different ways, and creates opportunities for them to interact, regardless of how engaged they’re able to be at any given time.

The Online Community Engagement Ladder
Creating engagement opportunities for every community member For communities that are just getting started, building a base of engaged members is a primary focus. As a community builder, you’ll figure out what engagement tactics are most effective with your community through trial and error. And, yo…
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Strategy

The Unusual Signs of a Billion Dollar Company, with Elad Gil

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Newsletter

Peak Newsletter? That Was 80 Years Ago

Radical poets like Allen Ginsburg used mimeographs to sell chapbooks, while genre aficionados relied on them to print science-fiction fanzines. Mimeographs also fueled the growth of marginalized communities: Some of the earliest gay publications, like the 1950s lesbian newsletter The Ladder, ran on the machine.

Peak Newsletter? That Was 80 Years Ago
In the 1940s, journalists fled traditional news outlets to write directly for subscribers. What happened next may be a warning.
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Science

Contemplating the End of Physics

One could argue, the seeds that led to these discoveries were all planted in the good old days. Black holes and gravitational waves are direct consequences of the equations Albert Einstein discovered in 1915. Maybe physics has run out of original ideas?

Contemplating the End of Physics
Has physics reached the limits of what we can discover — or are the possibilities only just beginning?
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DeepMind’s AI makes gigantic leap in solving protein structures

“This is a big deal,” says John Moult, a computational biologist at the University of Maryland in College Park, who co-founded CASP in 1994 to improve computational methods for accurately predicting protein structures. “In some sense the problem is solved.”

‘It will change everything’: DeepMind’s AI makes gigantic leap in solving protein structures
Google’s deep-learning program for determining the 3D shapes of proteins stands to transform biology, say scientists.
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Podcast

Meet the young podcast generation

“Our ultimate goal is to make sure everyone feels like they’re a part of a worldwide community and gets an opportunity to share their stories first-hand.” – Ekram Esmael

WADUP

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Seasonal

8 Hours of 4K footage and ASMR audio of a cozy fireplace

Because when you can’t have an actual fireplace, this is the next best thing.

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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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