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Why events still matter in the age of AI

AI is reshaping how people discover information. Search traffic, once the lifeblood of websites, is plummeting as AI tools provide answers and context immediately, eliminating the need to browse to websites for answers at all. 

Understandably, companies are responding by going down avenues they can control: newsletters, podcasts, memberships and events. This reality is true for startups as well. You simply can’t rely on Google traffic or algorithms to build trust anymore. You need direct channels, and there are few ways to build trust more powerful than  meeting people face-to-face.

Welcome to the ‘post-click’ era

Startups have long played by the ever-changing rules set by Google and social media platforms, which are more often than not prone to changing their algorithms and leaving everyone scrambling to adapt overnight. 

AI is not only accelerating this instability, it’s almost making Google referral traffic obsolete. Companies need to adapt to this new reality with strategies that let them talk directly to their prospective customers.

The media industry, one of the most vulnerable to the changes, is proving to be one of the quickest to adapt. Morning Brew, for example, blends its newsletters franchises with events. In a recent interview, Sam Jacobs, TIME’s editor-in-chief, highlighted how the company went from organizing two to three events per year, to holding the same number of events monthly.

Even digital-first players are embracing events. Podcasts like Acquired and All-In now host live events to bring their listeners together. Finimize has built grassroots meetups around its newsletter. The new defense tech media title, Resilience Media, born on Substack, is planning events to connect experts in its niche. Alex Konrad’s new Upstarts ecosystem includes live interviews, an upcoming podcast and curated events. These aren’t just extensions of the content; they’re ways to nurture communities.

Startups should copy this strategy. They must consider where their credibility and relationships will be built in this new landscape, especially as visibility is no longer about simply appearing on top of search results or burning money with ads; it’s about building lasting trust in the spaces that matter. Events are singularly effective at doing that.

Lessons from after the pandemic

If the pandemic taught us anything, it’s that being present online is insufficient. Platforms like Hopin promised a future of global, scalable, online events. Even experiments in VR conferences were the subject of occasional hype. 

All of that fell short, however. What founders, investors and marketers learned was simple: There is no substitute for shaking someone’s hand, catching their eye, and sharing time in the same space.

When the pandemic ended, events came back with a bang. Companies large and small continue to invest in gatherings. Events still carry symbolic weight: just look at Apple’s meticulously choreographed product launches, or how scaleups like Helsing showcase new technologies. 

For startups, events can also serve as tools for strengthening internal communications and bonds with their employees and their community. Here’s a great example: Italian travel scaleup WeRoad holds an annual, two-day global gathering of its travel coordinators and staff that strengthens culture and commitment in ways a Zoom call never could.

Why startups need to show up

Startups live and die on the strength of their relationships. Securing investors, signing first customers, and finding the right partners are all processes that depend completely on trust. These early relationships are crucial.

In an AI-driven world where digital discovery is fragmented, saturated and noisy, events cut through the noise. They offer something AI and algorithms never will: human presence.

Startups should think of events as essential investments in visibility and credibility. Whether it’s speaking on stage, hosting a breakfast or simply showing up to the right conference — being in the room matters.

It’s OK to be selective. It’s OK to pass on events when priorities point elsewhere. And don’t take this to mean the digital realm and AI should be ignored. But in this era where we’re putting AI on a pedestal, founders should not underestimate the power of a physical meeting for establishing contact with investors, talent, or any other important stakeholder.

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Fundraising 3 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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