In this second part of our Foresight Radio deep dive into Quantum Computing, host Thomas Koulopoulos explores the spooky and mind-bending aspects of quantum mechanics, including entanglement, a phenomenon that even Einstein struggled to accept.

Joining Tom are top quantum researchers and experts:
🔹 Aditya Jain (PhD Student, Institute of Quantum Computing, Waterloo) – Breaking down quantum entanglement and what Einstein got wrong
🔹 Carol Lynn Alpert (Harvard University & Museum of Science, Boston) – How we’re building the quantum workforce of the future
🔹 Calvin Leung (MIT & SpaceX) – Why quantum computers will revolutionize materials science, drug discovery, and chemistry

Key Topics:
⚛️ How quantum entanglement challenges everything we know about reality
⚛️ Why Feynman’s vision for quantum computing is coming to life
⚛️ How quantum computers simulate nature in ways classical computers never could
⚛️ The real-world timeline for when quantum will impact business, AI, and technology

We’re on the cusp of a computing revolution—one that may redefine how we model the universe, medicine, AI, and even human intelligence. Are you ready to embrace the quantum future?

Quantum Computing Part 2: Entanglement, Einstein’s Skepticism, and the Future of Computing

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AI Hype vs Reality

Recursive AI represents a significant evolution in artificial intelligence, where machines begin teaching themselves rather than relying solely on human input. This transformation marks a shift from agent-based systems to a form of AI that adapts and evolves by using its existing knowledge to identify gaps and seek new learning. Similar to human development, recursive AI learns from its experiences, creating a self-reinforcing cycle of improvement. This self-directed learning allows AI to exhibit curiosity, generate novel insights, and even approach a form of synthetic intuition. The concept introduces a new era where AI systems continuously grow, adapt, and innovate, leading to more creative and intelligent applications. Recursive AI has the potential to revolutionize fields like healthcare, finance, and education, fostering AI systems that evolve alongside human progress. However, it also brings challenges in terms of governance, ethics, and safety, necessitating careful regulation as AI continues to rewrite its own learning processes.

Recursive AI: The Future of Self-Teaching Machines

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AI in the Wild: What AI Really Values

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Ambient Listening - The AI That Never Forgets

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The AI You’ll Never Leave Behind: How Jony Ive and OpenAI Are Redefining Human-Tech Connection

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The Missing Link: Why We Need a National Health Record Now

What happens when you build an AI version of yourself? In this episode, I interview… me. Meet my AI twin—trained on decades of research—to explore the future of personal AI—and find out how to use it yourself!

Everything you ever wanted to know about AI

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The Algorithmic Siren Song: Why Your AI Chatbot Might Be Too Good to You

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Quantum Computing Part 2: Entanglement, Einstein’s Skepticism, and the Future of Computing

Thomas M Koulopoulos