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Recently, Gates has turned his gaze towards nuclear energy, hailing it as a sustainable powerhouse able to fueling the following wave of AI advancements.
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TODAY’S AI SECRET:
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Bill Gates is popping to nuclear power to produce energy for U.S. homes and AIs.
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An AI-designed rocket engine was accomplished in only two weeks.
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Every day trending & featured AIs boost your profession and business.
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Microsoft and Nvidia reportedly clashed over Microsoft’s use of B200 AI GPUs in its server rooms.
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TODAY’S AI WORLD
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OpenAI CTO on Job Displacement – Mira Murati suggests some creative jobs “shouldn’t have been there in the primary place”.
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Apple and Meta Discuss Potential AI Partnership – Apple and Meta have initiated talks to integrate Meta’s generative AI into Apple’s AI system for iPhones, as reported by the WSJ.
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Nanorobots & AI Could Unlock Human Immortality – Futurist Raymond Kurzweil asserts that extending human longevity hinges on stopping cellular damage. The MIT-educated pioneer of computer-based learning believes AI paired with biotechnology can create aging solutions beyond our current understanding.
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AI Brodcast In Formula 1 – Formula 1 and Amazon reveal AI-enhanced broadcast for Spanish Grand Prix. Recent AI “Statbot” debuts, providing a personalised race viewing experience using real-time data.
BILL GATES
Bill Gates is popping to nuclear power to produce energy for U.S. homes and AIs.

Image Credit: AI Secret
Bill Gates has recently invested in and advocated for nuclear energy as a sustainable power source for future technological advancements, including AI. Gates emphasizes that nuclear power can meet rising energy demands without worsening climate change. He also points out that it’s safer and more economically viable in comparison with traditional energy sources.
The Details:
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Modern Nuclear Technology: Gates has invested $1 billion into TerraPower’s recent nuclear facility in Wyoming, which uses sodium as a substitute of water to chill its reactors, enhancing safety and efficiency.
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Economic and Environmental Potential: The plant, costing as much as $4 billion, guarantees to be more economical than recent nuclear projects and goals to scale back greenhouse gas emissions significantly.
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Strategic Partnerships and Funding: The U.S. Department of Energy supports half of TerraPower’s project costs, highlighting a strategic partnership between private investment and public funding to foster progressive energy solutions.
Why It Matters:
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Advancing Clean Energy: Gates’ investment in nuclear power underscores an important shift towards sustainable energy solutions essential for powering future technologies without compromising environmental integrity.
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Economic Viability: By demonstrating the potential cost-effectiveness of recent nuclear technology, Gates goals to influence markets and policymakers about its viability as a long-term energy solution.
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Impact on AI and Technology: The project links to the broader technological landscape, particularly AI, by providing a reliable power source for the energy-intensive operations of knowledge centers, essential for AI development and deployment.
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AI IN SATRTUP
An AI-designed rocket engine was accomplished in only two weeks.
Leap 71, a Dubai-based AI engineering firm, has utilized its AI model, Noyron, to autonomously design a rocket engine that was then 3D-printed and successfully test-fired. This progressive approach significantly reduces the design time and introduces advanced features like a “coaxial swirler” for improved fuel mixing.
The Details:
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Rapid AI-Powered Design Process: The engine was designed autonomously by the AI model Noyron in only two weeks, a task that typically takes months. This demonstrates the AI’s capability to handle complex engineering tasks efficiently.
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Advanced Manufacturing and Testing: The engine, printed in copper, features progressive design elements like cooling channels and a coaxial swirler for mixing propellants. It was tested within the UK, achieving a successful 12-second burn.
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Potential and Challenges: While the test was successful, there have been issues reminiscent of higher than expected resistance within the cooling channels as a result of the surface roughness from 3D printing. This means areas for further optimization.
Why It Matters:
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Innovation in Space Propulsion: The successful application of AI in designing and producing rocket engines could revolutionize space technology, making the event process faster, cheaper, and more accessible.
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Impact on Engineering Practices: This approach could shift traditional engineering workflows towards more AI-driven methods, reducing time and costs related to R&D in aerospace and other industries.
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Challenges Ahead: The project highlights the necessity for further refinement in manufacturing processes to handle the unique requirements of AI-generated designs, ensuring that the innovations may be practically applied in operational settings.
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AI CHIPS
Microsoft and Nvidia reportedly clashed over Microsoft’s use of B200 AI GPUs in its server rooms.

Image Credit: AI Secret
There are tensions between Microsoft and Nvidia about using Nvidia’s Blackwell B200 GPUs in Microsoft’s servers. This dispute highlights greater issues within the tech world about hardware control, vendor loyalty, and the way AI tech is used strategically in data centers.
The Details:
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Nvidia’s Control Over Hardware: Nvidia is thought for its restrictive policies on how its GPUs are utilized, extending this control to the configurations utilized in data centers, which has led to conflicts with major AI technology users like Microsoft.
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Microsoft’s Push for Flexibility: Microsoft resisted Nvidia’s insistence on using specific server rack designs tailored for the B200 GPUs, arguing it might limit their ability to modify between different hardware vendors, including AMD.
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Resolution and Broader Implications: Nvidia eventually conceded, allowing Microsoft to make use of its own custom racks. This incident illustrates ongoing challenges and negotiations as corporations navigate partnerships and competition within the rapidly evolving AI sector.
Why It Matters:
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Influence on AI Development: The standoff between these tech titans affects the deployment and development of AI technologies, impacting how quickly and efficiently recent AI capabilities may be delivered to market.
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Market Dynamics and Vendor Lock-In: This example sheds light on the tactics utilized by dominant corporations to manage the market and limit competition, which may stifle innovation and increase costs for consumers.
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Way forward for Data Center Technologies: The consequence of such disputes will influence future data center standards and practices, potentially shaping the following generation of AI infrastructure globally.
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