Sesame Summit 2026 – application open

Who’s AI is it Anyway? WSAI2023

This year, the World Summit AI event took place in Amsterdam, featuring more than 200 speakers, 100 exhibitors, and an anticipated 10,000 attendees with the theme “AI for humanity”, a clear focus on how we can use AI to address pressing global challenges such as climate change, poverty, health, and education.

InspiredMinds! is a global tech and science strategy group that aims to create platforms for positive change and innovation, the spirit of which is wonderfully captured by every opening speech given by CEO and founder of the company, Sarah Porter, who set the mood of the 2 day WSAI conference in saying:

“We are InspiredMinds!, which means we are not afraid to stage the difficult conversations – we are here to inspire but we are also here to create impact and change”

After attending the Intelligent Health Summit in Basel earlier this year, also hosted by InspiredMinds!, I was looking forward to the experience of an event that Tech Xplore described as “the epicenter of global innovation” in 2020. And I was certainly not disappointed. Here is my takeaway of the event.

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JoAnn Stonier from Mastercard on Harmonious human-AI collaboration – 📸 WSAI 2023

Speakers and Topics

Hosted across multiple buildings at the Taets Arts Park, WSAI 2023 featured world class key-note speakers on the most pertinent topics in genAI today. The event app provided by InspiredMinds! is honestly a super useful tool and navigating the jampacked program across a complex floorplan was very straightforward.

The opening keynote was delivered by Dr. Simon See, chief solutions architect and Global Head for NVIDIA AI, on the topic of “Exploring the application of Generative AI to climate issues”. Dr. See gave an impressive example of how genAI has been used to reduce the computational time of complex processes like windfarm modelling from 40 days to just 15 minutes: one of many saving a lot of computational time and energy.

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Dr. Simon See giving his headliner talk – 📸 WSAI 2023

This level of rapid development in technology was found throughout the remaining headliner talks, from the future of racing in hydrogen race cars with Forze, to Neuroscience and Divya Chander‘s eery illustration of how AI can be used to distort human memories, raising a question that I never imagined I would be asking myself: do we have the right to the privacy of our own thoughts?

The quality of speakers was honestly outstanding, with thought leaders from tech giants such as Microsoft, Amazon, Mastercard, and X, to leading consulting firms and companies in this space such as Accenture, EY, and SAS, along with numerous leading universities. All talks had an opportunity for Q&A at the end.

The verdict from all these talks was that no single career or profession will be left unaffected. Even psychologists will be replaceable with chatbots that offer cognitive behavioral therapy. The discussion of regulation was as present as always, but the content has evolved since the topic came up at VivaTech in July. This time I found myself hearing the words ” data governance” , “control” , as well as “responsible” and “ethical” AI murmured in abundance while eavesdropping conversations as I walked through the event exhibitor stands.

Panels and Workshops

My favorite part about the event was the number of presentations and workshops that had an obvious practical application to all of them (at least those that I attended). IBM, a main sponsor of the event, drew a huge crowd to their workshop on AI governance and the use of watsonx.governance, a platform promising to help you “break open the black box with AI governance”.

Speaking of black boxes, one of the event stages, humorously named the “white box”, which saw informative presentations on relevant topics like how to navigate ChatGPTs privacy concerns and deploying AI models with MLOps at scale. But more importantly, there was a notable increase in the amount of presentations and workshops addressing the core of all AI applications: data. The event had multiple workshops and presentations on how to deal with data issues, how to source data and ensure quality data, as well as talks exploring the possibilities of synthetic data and the potential this has for unrepresentative data sets.  

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Amsterdam Data Collective workshop in the “whitebox” room – 📸 WSAI 2023

Excellent panels were also chaired by a diverse range of insightful and experienced panelists, with a great level of accessibility for audience members to pose questions. My favorite thing about ImagineMinds! events is how accessible people are for you to talk to, if not on stage through posing a question, then after their talk as they join the crowd of spectators.

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Dr Patrice Latinne on the panel discussion addressing fear and building trust with generative AI – 📸 WSAI 2023

Exhibitors and Startups

Being a world class event, some major big players such as IBM, Ernest and Young, Microsoft, Canoncial, and HP were there, among others. But there were equally smaller yet entirely relevant exhibitors that I was happy to discover for the first time, such as credo.ai, TrueEra, and UbiOps.

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IBM exhibitor stand at the event – 📸 WSAI 2023

The summit showcased some of the best and brightest startup talent in the field of AI, with a dedicated track for startups to pitch their ideas, products, and solutions to a panel of judges and investors. An entire floor section was dedicated to the startup exhibition titled “Startup City”, with a strong pavillion coming from the Netherlands. Some quirky ideas I found were giskard.ai, who offer an opensource testing and monitoring framework for ML models, Skendy, your personal administration assistant, and Alphadoc, a feature rich developer experience platform (worth checking out if you’re a dev!).

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An open networking area for ttndees, investors, and founders to connect – 📸 WSAI 2023

All in all, it was an absolutely wonderful event with a great atmosphere and ample catering. I really enjoyed the atmosphere, and would recommend this event to anyone looking for their eyes to be opened and their questions to be answered. I continue to be impressed with the quality of events by InspiredMinds!, whose track record of MC host quality remains undefeated. Oh, and before I forget to mention it – a big thank you to the event organisers for the free coffee. Thats right. At an event with 10,000 attendees: there was free, quality coffee.

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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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