High Value Manufacturing Catapult’s Post

Last week, our very own Gavin Hill met with industry leaders, innovators and High Value Manufacturing Catapult colleagues to explore the future of engineering powered by AI and digital MBE. Hear what Gav had to say about the session: "We're here to share knowledge around model based enterprise and #digitalthread, and to really point out all the problems in this space. Sessions like these are a chance for the industry's voice to be heard." To read more about what the AMRC is doing in this space 👉https://lnkd.in/ebquQNHG

California's Controversial AI Bill: A California bill addressing AI's potential negative impacts is gaining attention due to its focus on extreme scenarios like nuclear war and catastrophic harm. This highlights growing concerns about AI's potential dangers and the need for regulation. US Congress Passes Controversial AI Bill: The US Congress has passed a bill related to AI, sparking debate and discussions about the future of AI regulation and its implications for the tech industry. PARIGANAKAYA WWW.PARIGANAKAYA.COM

Biden and Xi Take a First Step to Limit AI and Nuclear Decisions at Their Last Meeting Did you know that by 2024, over 80% of organizations are expected to adopt AI technologies for strategic decision-making? As we witness rapid advancements in AI, this statistic underlines its growing influence on our day-to-day operations. However, a recent meeting between President Biden and President Xi highlights a crucial shift: the importance of human oversight in high-stakes decisions, particularly those involving nuclear capabilities. Their agreement to ensure that humans, not AI, will govern nuclear decisions reflects a critical challenge facing businesses today: balancing automation with ethical considerations. While AI-powered systems offer unparalleled efficiencies, they also bring risks when used in sensitive contexts. This trend stresses the necessity for robust governance and ethical frameworks around AI deployment. For businesses looking to leverage AI trends responsibly, here’s an actionable tip: prioritize transparency in your AI systems. Ensure that stakeholders understand how decisions are made, fostering trust and compliance. This is especially important as we move toward greater automation, where understanding AI decision processes will become vital for stakeholder confidence. As we navigate this evolving landscape, stay informed about not only the capabilities of AI but also the ethical implications it carries. Embrace practices that align AI development with human values. How is your organization preparing for the balance between AI advancements and ethical decision-making? Share your thoughts below! #AI #2024AITrends #Automation #EthicalAI #Leadership

As history has shown, transformative technologies can redefine the global balance of power. The Industrial Revolution catapulted Europe to global dominance, and nuclear weapons divided the world into those with and without ultimate destructive power. Today, we’re witnessing the dawn of another seismic shift: the Artificial Intelligence (AI) revolution. The question isn’t just about who can create these powerful technologies—it’s about who can access them. As AI evolves from open-source, widely available tools to massive, resource-intensive models like GPT-4, the power is increasingly concentrating in the hands of those who control the computing hardware. The ability to train and deploy cutting-edge AI is now largely in the hands of a few tech giants, thanks to their access to specialized chips manufactured in just a handful of countries. This concentration of power is more than just an industry trend; it’s a geopolitical reality. Just as control over uranium production shaped the nuclear age, control over AI hardware will define this new era. Countries like the United States, South Korea, and Taiwan, which dominate semiconductor production, now hold a crucial lever in the global AI race. But with great power comes great responsibility—and risk. As AI systems become more capable, they also become more dual-use, with potential applications ranging from societal benefit to catastrophic harm. The race to build the most advanced AI models must be tempered with robust governance to ensure that this technology does not spiral out of control. Governments must step in to create the regulatory frameworks that ensure AI models are developed and deployed safely. This isn’t just about limiting who can build these models; it’s about controlling their use and proliferation. We need a global AI governance regime, akin to the International Atomic Energy Agency, to oversee the development and deployment of these powerful systems. The AI revolution is moving at an exponential pace. As we look to the future, the stakes couldn’t be higher. Those who control AI hardware today will shape the world tomorrow. It’s imperative that we navigate this shift wisely, balancing innovation with safety to ensure a future where AI benefits all, not just a privileged few. #AI #Foresight #Technology #Geopolitics #Innovation #Governance ***photo credits : U.S. Secretary of State Antony Blinken speaks during the 10th review conference of the parties to the Nuclear Nonproliferation Treaty at the United Nations in New York City on Aug. 1, 2022. ANGELA WEISS/AFP VIA GETTY IMAGES

A few facts about AGI from Leopold Aschenbrenner's paper on AI's future. As technology evolves faster, it becomes more interesting to discuss its influence 🧐

Imagine a world where generative AI is changing how we power our lives. A California startup has taken a bold step by introducing what they claim to be the first commercial use of generative AI in a US nuclear power plant. This technology isn't just for tech giants. It’s reshaping industries and improving safety. Could this innovation be the future of energy? Let’s explore how AI can make our world more efficient and reliable. Follow me for insights on how technology is transforming industries. If you have a project in mind, send me a DM!

Could nuclear power fuel the future of AI? 🌍 🔗 https://lnkd.in/djM8sSb3   Did you know training a single large language model uses as much energy as an average US household needs for 120 years? 🤯   With AI becoming part of everything we do, data centres are facing a massive energy challenge and some big tech companies are turning to an unexpected solution. Microsoft and Google are already making bold moves into nuclear-powered AI operations.   💡 Find out why this could be a game-changer for sustainable tech and what it means for the future of AI innovation.

I post quite a lot about AI. I am optimistic about AI in general, and I think it's increasing usage and adoption is inevitable. It's a truly amazing, truly disruptive, once in a generation technology. However... I can't pretend that I'm not concerned by the levels of investment being talked about. We are now in AI space-race territory and the power demands are truly massive. Our PM has committed to a programme of adoption that simply can't be delivered without new power stations being built - and that takes a long time. Even if all the red tape were cut to zero, we are still talking decades, not years. The recently announced $500 Bn Stargate project will also necessitate the USA levelling up power generation by 2-3x. In my, probably over simplistic, view this means either: 1) Everyone is massively out on their time horizons and net-zero is a scam. 2) We need to rely on a significant and quick breakthrough in nuclear fusion. 3) We need to massively reduce the energy demands of AI data centres. Which is the most likely in the next 5-10 years? The thing is, I quite like this planet, and I don't really want to move to a new one.

Are we getting AGI by 2027? 🤔 I've been seeing a lot of buzz around Leopold Aschenbrenner's 165-page paper on AI's future, so I just had to share it with you! Here are some highlights 👇 🔹Countries will compete for AGI as fiercely as they did for nuclear weapons. With AGI, issues of national security and economic growth could be instantly solved. 🔹A trillion-dollar computing cluster is needed for AGI. Microsoft is already building one for OpenAI. 🔹AGI is expected by 2027, and ASI (Artificial Superintelligence) will follow, capable of teaching itself and creating new technologies at lightning speed. 🔹By 2030, global demand for AI chip manufacturing will be four times TSMC's current capacity. It might sound scary, but we have yet to see what's truly in store.  I'm excited to keep working on AI, making it safer and more beneficial for humanity! What about you? 😉 #ai #agi #asi #superintelligence #news #research #science

🚀 𝗧𝗼𝗽 𝗧𝗲𝗰𝗵 𝗧𝗿𝗲𝗻𝗱𝘀 𝗼𝗳 𝟮𝟬𝟮𝟱: 𝗔 𝗦𝗻𝗲𝗮𝗸 𝗣𝗲𝗲𝗸 𝗶𝗻𝘁𝗼 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲! As we dive into 2025, technology continues to shape industries at an unprecedented pace. Capgemini’s latest research outlines 𝗳𝗶𝘃𝗲 𝗴𝗮𝗺𝗲-𝗰𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝘁𝗲𝗰𝗵 𝘁𝗿𝗲𝗻𝗱𝘀 poised to dominate this year, driven largely by advancements in AI and generative AI (Gen AI). Here’s a quick rundown: 1️⃣ 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗘𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻: From copilots to reasoning agents, these autonomous systems will revolutionize industries with smarter decision-making and enhanced efficiency. 2️⃣ 𝗔𝗜 𝗶𝗻 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆: As threats grow more sophisticated, AI is redefining defenses, helping organizations detect and mitigate risks faster than ever. 3️⃣ 𝗔𝗜-𝗗𝗿𝗶𝘃𝗲𝗻 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀: From collaborative robots (cobots) to humanoid machines, these technologies are transforming workplaces and enabling seamless human-robot collaboration. 4️⃣ 𝗡𝘂𝗰𝗹𝗲𝗮𝗿 𝗥𝗲𝘀𝘂𝗿𝗴𝗲𝗻𝗰𝗲: The rising energy demands of AI highlight the critical role of clean and reliable nuclear energy, with innovations like Small Modular Reactors (SMRs) leading the charge. 5️⃣ 𝗡𝗲𝘅𝘁-𝗚𝗲𝗻 𝗦𝘂𝗽𝗽𝗹𝘆 𝗖𝗵𝗮𝗶𝗻𝘀: AI-powered and eco-friendly supply chains are becoming more agile and resilient, enabling businesses to adapt to volatile global markets. 💡 𝗪𝗵𝘆 𝗶𝘁 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: AI's influence is undeniable, driving innovation across industries while tackling critical challenges like sustainability, efficiency, and security. What’s your take on these trends? Are you ready to leverage these innovations in your organization? Let’s discuss! 👇 #AI #TechTrends #Innovation #Sustainability