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AI Is Moving Faster Than We Can Control | Terence Tao Analytics Table
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The rise of artificial intelligence has pushed mathematics to a crisis point. In our latest video, we speak with Terence Tao, one of the world’s top mathematicians and author of Six Maths Essentials, to diagnose the state of the field right now and explore if it has a future even in the face of increasing automation. Why should anyone learn to do maths with a pen and a piece of paper right now? What is the power of abstract thinking and can we afford to lose it? And what is on the research wish list of one of the most prolific and decorated mathematicians of our time? Join us as we take a grand tour of modern mathematics, following one of its best guides through the rapidly changing science. We'll explore the fundamental character of mathematics research, as well as the principles and questions that guide the field – and how AI can be in discord with them. 📩 Get stories like this every Saturday in The Weekly, New Scientist’s free newsletter: https://bit.ly/TheWeeklyNewsletter Learn more ➤ https://youtu.be/59I84mWLK_c ❤️ Love New Scientist? For a specially discounted New Scientist digital subscription, go to http://bit.ly/3OFhwvL ⭐️ We have a podcast, too: Subscribe to @TheWorldTheUniverseAndUs 🛍️ Check out our shop for the smartest gifts - https://shop.newscientist.com/ MORE FROM NEW SCIENTIST ───────────────────────────── 🌐 Website: https://www.newscientist.com/ 📸 Instagram: https://bit.ly/NSYTINSTA 📘 Facebook: https://bit.ly/NSYTFB 🐦 Twitter: https://bit.ly/NSYTTW 📈 LinkedIn: https://bit.ly/NSYTLIN About New Scientist: New Scientist was founded in 1956 for “all those interested in scientific discovery and its social consequences”. Today our website, videos, newsletters, app, podcast and print magazine cover the world’s most important, exciting and entertaining science news as well as asking the big-picture questions about life, the universe, and what it means to be human. New Scientist https://www.newscientist.com/ 00:00 – Introduction 02:03 – The Impact of AI on Mathematics 04:45 – The Navier-Stokes Problem & AI-Generated Proofs 10:05 – Mathematical Models vs. Real-World Reality 15:00 – The Value and Power of Abstraction 18:20 – The Three Stages of Learning Mathematics 21:35 – How the Real World & Technology Shape Intuition 23:48 – The Six Core Branches of Mathematics 25:17 – AI as a Mathematical Problem: Why Theory Is Lacking 28:37 – Mathematical Tools Needed to Understand AI 30:45 – AI Risks, Alignment, and Cybersecurity Concerns 34:08 – An Interdisciplinary Approach to AI Safety 35:35 – The Twin Prime Conjecture & Other Open Problems 38:05 – Why Abstract Mathematical Problems Captivate Us 40:35 – What's next? #aimath #mathematics #science #ai #artificialintelligence #maths #math
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