Koh Onozawa Martínez

Some big news after yesterday's announcement (let's hope Miliband realises we need cheap and abundant energy). NVIDIA Announces £2 Billion Investment in the United Kingdom AI Startup Ecosystem New Capital Supports U.K. AI Infrastructure and Startups to Spark New Industries · NVIDIA commits £2 billion to catalyze the U.K.’s AI startup ecosystem and accelerate the creation of new companies, jobs and globally transformative AI businesses. · Accel, Air Street Capital, Balderton, Hoxton Ventures and Phoenix Court will join NVIDIA’s investment in the U.K. market, underscoring their commitment to foster the U.K. AI ecosystem. Scaling AI companies in the U.K. has been challenging due to limited access to supercomputing, constrained venture capital outside London, rising energy costs and difficulty for VCs to access leading academic institutions, where many researchers are also entrepreneurs. NVIDIA, in collaboration with Accel, Air Street Capital, Balderton Capital, Hoxton Ventures and Phoenix Court, will accelerate the U.K. AI ecosystem by providing new capital for AI startups. “This is the age of AI — the big bang of a new industrial revolution,” said Jensen Huang, founder and CEO of NVIDIA. “The United Kingdom is in a Goldilocks moment, where world-class universities, bold startups, leading researchers and cutting-edge supercomputing converge. There has never been a better time to invest in the U.K. — AI is unlocking new science and sparking entirely new industries. With new capital and advanced infrastructure, we are doubling down to empower the U.K. to lead the next wave of AI innovation.” “NVIDIA’s investment is a major vote of confidence in the U.K. both today and long into the future,” said U.K. Prime Minister Sir Keir Starmer. “By backing our startups, empowering our researchers and connecting capital with talent, this partnership will create jobs, spark new industries and ensure the U.K. remains at the forefront of global AI leadership.” NVIDIA is committed to working closely with the U.K.’s leading company founders and VCs — especially in London, home to world-renowned academic AI labs — and partnering with top U.K.-based funds to ensure capital and compute reach the most ambitious entrepreneurs and most dynamic regions, including the U.K. government’s newly announced AI growth zone. Following NVIDIA’s recent commitment to manufacturing up to a half-trillion dollars’ worth of AI supercomputers in America, the investment will be domiciled in the United States and activated in the United Kingdom, celebrating the transatlantic partnership between the two countries. NVIDIA is purposefully investing in the U.K.’s future, unlocking opportunities for the next generation of British innovators. “We are in the midst of a seismic technology shift as people and companies around the world increasingly depend on more intelligent hardware and software,” said James Wise, partner at Balderton Capital.

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AI is no longer just trained on data. It’s being raised in environments. Billions are flowing into synthetic training grounds where AI agents practice: – Virtual offices to learn scheduling and negotiation. – Simulated warehouses to master logistics. – Entire artificial marketplaces to test decision-making. This is the shift: from studying the past (datasets) to shaping behavior in invented environments. And here’s the power play: whoever builds these environments sets the rules. Not just what AI knows — but how it acts. That’s the new empire being built. It’s not about bigger models or faster chips anymore. It’s about who controls the environments where AIs learn how to operate — and what hidden incentives and biases get baked in. Are we ready for a handful of companies to design the operating conditions of the machines that will run our future? And who has a role to play in this? #AI #Business #Transformation #Next https://lnkd.in/eSnz6bjy

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When someone says, “You simply must meet X", what’s the first thing you do? In 2025, many people are booting up chatGPT to ask “Who is X?” As LLMs grow as a share of search, who AI ‘thinks’ you are will become more and more consequential. Increasingly, the summary AI generates about you will become the first and only impression that many people ever receive. People will increasingly accept AI's summary as authoritative, representative, complete. These AI-generated summaries will start to function as a person’s digital avatar.  The content of this summary will influence crucial interactions: whether a customer buys your product, whether top talent decides to join your company, whether VC considers an investment, and whether partners are excited to collaborate. It won’t just be humans making decisions based on these outputs; AI agents will make decisions based on these outputs. Executive search agents, investment screening agents, matchmaking agents… all these agents use your AI avatar to screen you for opportunities. Your digital avatar will open and close doors, before you know an opportunity even exists. So what’s your avatar? You can find out using the tool we’ve built: avatar (dot) encour (dot) co How do you optimize your avatar; how do you put your best foot forward? We’ve been developing this know-how over the past few months and we have the beginnings of a playbook. We’re beta testing this service with a number of clients on our comms retainer. If you’re interested to explore, slide into my DMs. A bit shout out to Encour’s collaborators on this project: Philip Crandall, Jonathan Kwok, Ethan Trang, and Marcos Martini!

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🎙️ 𝗝𝘂𝘀𝘁 𝗱𝗿𝗼𝗽𝗽𝗲𝗱 𝘁𝗵𝗲 𝗳𝗶𝗿𝘀𝘁 𝗲𝗽𝗶𝘀𝗼𝗱𝗲 𝗼𝗳 𝗔𝗹𝗺𝗼𝘀𝘁 𝗛𝘂𝗺𝗮𝗻 — my new podcast cutting through AI noise with actionable insights for founders and investors. 𝗧𝗵𝗶𝘀 𝘄𝗲𝗲𝗸: 𝗪𝗵𝘆 (𝗦𝘂𝗽𝗲𝗿 𝗨𝗻𝘀𝗲𝘅𝘆) 𝗘𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴𝘀 𝗔𝗿𝗲 𝗔𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗔 𝗦𝗲𝗰𝗿𝗲𝘁 𝗪𝗲𝗮𝗽𝗼𝗻 with Gilad Lotan, Head of AI/Data Science & Analytics at BuzzFeed. Everyone's talking about the most recent LLM model, but in Almost Human I am looking to introduce less explored sides of AI tech, and how can these be leveraged by startup founders. 𝗧𝗵𝗲 𝟮𝟬,𝟬𝟬𝟬 𝗙𝗲𝗲𝘁 𝗩𝗲𝗿𝘀𝗶𝗼𝗻: Embeddings turn meaning into math. They capture semantic context that simple keywords miss — so your system knows "tropical vacation clothing" relates to "summer beachwear" without sharing a single word. 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀 𝗛𝗶𝗱𝗶𝗻𝗴 𝗜𝗻 𝗣𝗹𝗮𝗶𝗻 𝗦𝗶𝗴𝗵𝘁: 🔹 𝗡𝗲𝘄 𝗔𝗱-𝗧𝗲𝗰𝗵 𝗣𝗮𝗿𝗮𝗱𝗶𝗴𝗺: Stop competing with Google on keywords. Build systems that monetize deep user understanding through embeddings — what are they interested with, who they are rather than their prompt to ChatGPT. 🔹 𝗣𝗿𝗶𝘃𝗮𝗰𝘆-𝗙𝗶𝗿𝘀𝘁 𝗗𝗮𝘁𝗮 𝗖𝗼𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝘃𝗲𝘀: Create networks where non-competing publishers share anonymized user insights. Collective intelligence without compromising privacy. 🔹 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗮𝗹 𝗠𝗮𝗿𝗸𝗲𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: Use embeddings as a normalizer across incompatible data types. Imagine spotting fashion trends by clustering retail sales, content engagement, and social chatter into one coherent signal. 𝗧𝘄𝗼 𝗠𝗼𝗿𝗲 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗙𝗿𝗼𝗺 𝗧𝗵𝗲 𝗘𝗽𝗶𝘀𝗼𝗱𝗲:   • Build internal AI tools first — prove ROI before customer-facing features   • Direct traffic beats platform dependency. Own your audience before AI platforms own discovery. Link to the full episode in the first comment. If you want to drill more into the topic, I include a few great articles about embeddings in the second comment below. 𝗪𝗵𝗮𝘁'𝘀 𝘆𝗼𝘂𝗿 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗔𝗜 𝗯𝗹𝗶𝗻𝗱 𝘀𝗽𝗼𝘁 𝗿𝗶𝗴𝗵𝘁 𝗻𝗼𝘄? Comment and we'll make sure to cover. #AI #Startups #Investing #TechTrends #AlmostHuman

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MIT's Wake-Up Call: 95% of AI Pilots Are Failing – But Here's Why Startups Can Win Big But this new MIT NANDA report? It's a reality check we all need. Key bombshells: 95% of AI projects flop on ROI – not because the tech sucks, but due to "learning gaps" in integration. Startups crush corporates here: No legacy baggage means you can build AI-native from the start. Buy > Build: Vendor solutions win 67% of the time vs. 33% for internal efforts. Focus on back-end automation for real cost cuts, not flashy marketing tools. This aligns with what I'm seeing in Southeast Asia – hype outpacing execution, but smart founders are turning failures into opportunities. Follow or connect with me if you want more content or have questions for me to answer. Cheers. https://lnkd.in/gx9Q_yn5

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