Sesame Summit 2026 – application open

Our Broken Chains

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Credit: Broken Chains

Congratulations on the well-deserved international recognition for your documentary, Broken Chains! As a Black investor based in Singapore, why was making a documentary about this pressing issue so important to you?

Broken Chains is a documentary project started in June 2020 in Singapore after global protests against institutional racism following the murder of George Floyd. The death of George Floyd and discussion about institutional racism inspired me to write a Medium-post called “I am exhausted and I want you to know why.” I was looking for a way to help bring systemic racism to the attention of corporations and the tech industry. Oftentimes people would see racism but have difficulty understanding how these issues have reverberating and persistent effects on the individuals targeted as well as society at large. After I published my article, many people asked: “what can I do besides listen?” The answer is not only complex but requires input and insight from different layers of society, different generations, and different backgrounds.

In the days following George Floyd’s death, over 200 major companies made statements supporting social justice. Almost all of those statements were made via Twitter. They used words like “justice,” “solidarity” and “equality.” If the responses of some of the most economically powerful organizations on the planet can be summed up in less than 280 characters, we have a problem. That’s not a discussion on racism. That’s not a roadmap to economic empowerment. That’s a snapshot for social media and we need a plan.

Broken Chains gives perspectives on how we move on from here. Systemic racism is prevalent in corporate life, sports, social life. Every part of our lives. We can’t solve all these problems in one go but we intend to give some insight on one of the larger issues amongst people of color: lack of access to opportunity and the creation of wealth. One of the common threads in the documentary is about generational wealth.

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Credit: Broken Chains

Broken Chains unveils America’s racial wealth divide. Does the film talk about how equal opportunities can be fostered to reduce this gap? Can you give us any insights into this?

Through the documentary we are investigating the effects of systemic racism through an economic lens, Broken Chains is a personal documentary exploring the racial wealth gap in America. Featuring in-depth interviews with today’s leading economists, educators, entrepreneurs, investors, policymakers, and technologists, We identify 8 critical barriers to black success and explores what needs to be done to create a more equitable system that fosters equal opportunity. Unfortunately, we live in a society plagued by systemic racism. How can we, as a society, work to improve this situation? There are a lot of ways we can move forward but the first step is listening to the issues in the community. Next we need major stakeholders such as corporates and investors provide a level playing field. We can’t move forward if access isn’t equally distributed.

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Credit: Broken Chains

On October 19th, Silicon Valley Bank (SVB) is hosting a fantastic event titled “Step Forward.” Are you seeing other corporate events taking similar steps to boost the conversation about diversity on the horizon?

Over the past few years, we have seen more corporates step up and have a conversation about diversity. We still have a long way to go.


Check out the virtual SVB Step Forward event on October 19th where Michael will be joining the “Story of Hope and a Call to Action” panel to discuss the film with cast members Jotaka Eaddy (Founder & CEO, Full Circle Strategies) and Nick Caldwell (Twitter’s VP of Engineering) – moderated by Courtney Karnes (SVB’s Access to Innovation Director).

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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.

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