Episode 46: The weaponisation of water in Libya

Climate Diplomacy Podcast

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Understanding the Elegant Math Behind Modern Machine Learning 1:14:43

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Artificial intelligence is evolving at an unprecedented pace—what does that mean for the future of technology, venture capital, business, and even our understanding of ourselves? Award-winning journalist and writer Anil Ananthaswamy joins us for our latest episode to discuss his latest book Why Machines Learn: The Elegant Math Behind Modern AI . Anil helps us explore the journey and many breakthroughs that have propelled machine learning from simple perceptrons to the sophisticated algorithms shaping today’s AI revolution, powering GPT and other models. The discussion aims to demystify some of the underlying mathematical concepts that power modern machine learning, to help everyone grasp this technology impacting our lives–even if your last math class was in high school. Anil walks us through the power of scaling laws, the shift from training to inference optimization, and the debate among AI’s pioneers about the road to AGI—should we be concerned, or are we still missing key pieces of the puzzle? The conversation also delves into AI’s philosophical implications—could understanding how machines learn help us better understand ourselves? And what challenges remain before AI systems can truly operate with agency? If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for exclusive insights and updates on upcoming TechSurge Live Summits. Links: Read Why Machines Learn, Anil’s latest book on the math behind AI https://www.amazon.com/Why-Machines-Learn-Elegant-Behind/dp/0593185749 Learn more about Anil Ananthaswamy’s work and writing https://anilananthaswamy.com/ Watch Anil Ananthaswamy’s TED Talk on AI and intelligence https://www.ted.com/speakers/anil_ananthaswamy Discover the MIT Knight Science Journalism Fellowship that shaped Anil’s AI research https://ksj.mit.edu/ Understand the Perceptron, the foundation of neural networks https://en.wikipedia.org/wiki/Perceptron Read about the Perceptron Convergence Theorem and its significance https://www.nature.com/articles/323533a0…

약 1년 전 38:05

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In this episode, we explore the complex relationship between water, climate change and conflict in Libya. We are joined by independent consultant and researcher and one of the newest members of the Climate Security Expert Network, Malak Altaeb to discuss the reality of water scarcity, the weaponisation of water and the impacts of political legacy and fragmentation on infrastructure and governance. This episode highlights the devastating floods in eastern Libya in September 2023, emphasising the need for sustainable water management and international cooperation. It also underscores the importance of community engagement and long-term vision for water reform and resilience in Libya.

Further links: Water Politics in Libya: A Crisis of Management, not Scarcity | What’s next for Libya’s Great Man-Made River Project | From floods to disaster: A conflict- and climate-sensitive recovery pathway for Libya

© adelphi global, all rights reserved
adelphi global (https://adelphi-global.de/en) is an economically and politically independent, non-profit organisation dedicated to promoting sustainability, enhancing environmental protection, improving education, expanding development cooperation, and strengthening international collaborations. Our commitment is reflected in targeted projects, in-depth analyses, and informative educational events, through which we strive for a just and sustainable world.
Editing by Paulus Müller-Hahl (Lichtbilder).

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Climate Diplomacy Podcast