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Ben’s List 20

I started reading The Emperor’s New Mind by Roger Penrose a few months ago and got captivated by the physicist’s statement that machines can’t be conscious.

In this week’s list, you’ll find a very similar argument exposed by David Hsing:

AI that takes on extremely close likeness to human beings in both physical appearance, as well as behavior, should be strictly banned in the future. Allowing them to exist only creates a world immersed in absurd paranoia.

Check out the link below for the full article and a recollection of thoughts experiments such as the Chinese Room and the Symbol Manipulator.

We also cover community, Big Tech, startup sales, venture capital, design and the creator economy.

Bonus game at the end of the list if you’re missing international travel as much as I am.

AI

Artificial Consciousness Is Impossible

“A claim that all things are conscious (including an AI) as a result of universal consciousness would be conflating two categories simply due to the lack of terms separating them. Just because the term ‘consciousness’ connects all things to the adherents of universal consciousness, doesn’t mean the term itself should be used equivocally.”

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Big Tech

Big Tech tax burdens are just 60% of global average

“Countries have been competitively cutting corporate tax rates in an effort to attract global companies. These successive cuts have lightened their burden in what critics call ‘a race to the bottom.’ Meanwhile, companies, particularly in the U.S. and Europe, have spent their tax windfall mainly by rewarding shareholders through stock buybacks and other means. This has contributed to growing wealth and income inequality.”

Inside the rise of ‘Free Speech’ anti-Facebook platforms across Central Europe

“The biggest offenders of press freedom are now posing as defenders of free speech.”

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Can Apple change ads?

“Apple regards itself not just as a platform provider but as a system provider. Your iPhone is a system, and Apple decides how it works and what developers can do on it, and just as Apple controls security, wireless networking, power management or multi-tasking, it also controls privacy.”

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Creator Economy

From Winner Take All to Win and Help Win: the Original Vision of the Internet is Making a Comeback

“We’re currently living through a shift in the business model of the Internet, from ad-revenue to direct-to-creator monetization. We can’t underscore enough how profoundly this alters incentives – platforms are now less focused on driving eyeballs and more focused on building tools that make creators money.”

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Community

Micro-Communities – and why you should start one too

“Take a moment to imagine you had the chance to meet other successful people and be a part of their journey. This includes taking part in brainstorming content and strategy ideas, helping each other grow, and acquire other perspectives — the ROI is almost immeasurable.”

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How Dunbar’s Number Makes Or Breaks A Community

“Dunbar’s number is the cognitive limit of the number of stable relationships someone can have. It is commonly known as 150, although the practical number for a community is lower because people always have relationships elsewhere. 150 is the max where a large amount of time is being spent on ‘social grooming.’”

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A Slice of Life in My Virtual Community

Old but good: “…community is a matter of the heart and the gut as well as the head. Some of the most important learning will always have to be done by jumping into one corner or another of cyberspace, living there, and getting up to your elbows in the problems that virtual communities face.”


Venture Capital

PODCAST: Global VC view: Funding startups in the next normal

“The boom that tech startups have been experiencing has continued through the pandemic. Two leading venture capitalists talk about how investing in them is changing.”

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Sales

All Things Sales! 16 Mini-Lessons for Startup Founders

“In this series of snack-sized videos — which you can watch all together, or mix-and-match for your particular questions and needs — Levine distills the fundamentals that every founder should know about sales. The 16 lessons in this “mini-MOOC” offer everything from definitions to concrete guidance for the following”


Design

On Building a Fluid User Interface

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Game

City Guesser – Can you guess what city you’re in?

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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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