“The Case Against Reality” and The Hard Problem of Consciousness with Professor Donald Hoffman

What is the true nature of reality? Does the objective reality reported back by our senses paint a complete picture of the true reality? Is it possible that the world we see is not objective reality and it is just an interface to a deeper, true reality. In his book “The Case Against Reality: Why Evolution Hid the Truth from Our Eyes” cognitive scientist Donald Hoffman Challenges leading scientific theories that claim that our senses report back objective reality. He argues that while we should take our perceptions seriously, we should not take them literally. He presents the evolutionary concept of “Fitness Beats Truth” to demonstrate that evolution very probably moulded our minds for fitness rather than accuracy, resulting in the mismatch between “things-in-themselves” and our perceptions of them. In this episode of Bridging the Gaps I speak with professor Donal Hoffman; we discuss his “Interface Theory of Perception” and dig deep on latest research in cognitive science and perception, and how it relates to our understanding of the true nature of reality.

Donald Hoffman is a professor of Cognitive Sciences at the University of California, Irvine. He is a cognitive psychologist and popular science author. His research focuses on perception, evolution, and consciousness.

We begin by discussing the present understanding of the hard problem of consciousness. Then we talk about Hoffman’s view that all main scientific theories, such as Einstein’s theory, theories and our present understanding of Quantum Physics and the theory of natural selection, all inform us that our present approach of trying to understand reality is not working. I then ask him that why in his view we have evolved in a manner that we don’t see the real underlying reality and we just perceive a superficial realty. We then discuss in detail his theory and ideas about the nature of reality. We touch upon the question that do we live in a simulation. We also discuss Panpsychism. Finally I ask that how the research on the question of the true nature of reality should proceed.

Complement this discussion with From Consciousness to Synthetic Consciousness: From One Unknown to Another Unknown with David Chalmers and then listen to Why You Are Not Your Brain? A Conversation on Consciousness with Alva Noe.

By |July 19th, 2022|Neuroscience, Physics, Podcasts|
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Augmented Thinking: The New Convergence of Art, Technology, and Science with Professor Julio Ottino

We live in an age of increasing complexity and uncertainty. We live in a time when humanity faces extremely complex challenges. Our ability, or lack thereof, to create solutions to such extremely complicated challenges may determine our long-term survival as a civilization. The question is: is our existing style of thinking adequate, or do we require a new style of thinking in order to innovate and lead into the future. In their recent book Julio Ottino and Bruce Mau make a case for “The Nexus”, a radically new way of thinking — one in which art, technology, and science converge to expand our creativity and augment our insight. In this episode or Bridging the Gaps I speak with Julio Ottino who explains “the Nexus” and guides us how to embrace the powerful idea of complementarity, where opposing extremes coexist. We discuss how blurring the lines between the three major realms of human creation — art, technology, and science — results in a significant expansion of thinking spaces and a richness of potential ideas.

Julio Ottino is Dean of Engineering and Applied Sciences, and a professor of Chemical and Biological Engineering at Northwestern University, in Illinois. He is also the founding co-director of Northwestern University’s Institute on Complex Systems. He is a thought leader, author, artist, and internationally recognized researcher in chaos theory and complex systems whose work has been featured in “Nature”, “Science”, and “Scientific American”.

We begin our discussion by looking back at the time before the divergence of disciplines and how key figures in science immensely benefited from talents and skills in a variety of fields. Then we talk about how, when, and why the disciplines diverged. We delve into the concept of “the Nexus” and discuss whole-brain thinking. The book is jam-packed with wonderful photographs and diagrams. I ask Professor Ottino to describe the process that he followed to write this book. This has been a wonderful discussion.

Complement this discussion with Asking Better Questions for Creative Problem Solving, Innovation and Effective Leadership with Hal Gregersen and with “Learning How to Learn”: Techniques to Help You Learn with Dr Barbra Oakley and then listen to Multiple Intelligences, Future Minds and Educating The App Generation: A discussion with Dr Howard Gardner

By |June 27th, 2022|Knowledge, Podcasts, Research, Technology|
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“Machines like Us: TOWARD AI WITH COMMON SENSE” with Professor Ronald Brachman

Machines Like us reviewed on Bridging the Gaps

There is a consensus among the researchers in the field of artificial intelligence and machine learning that today’s artificial intelligence systems are narrowly focused, are designed to tackle specialised tasks and cannot operate in general settings. An important feature of the human brain that enables us to operate in general settings, and in unfamiliar situations is our common sense. In their new book “Machines like Us:
TOWARD AI WITH COMMON SENSE” Hector Levesque and Ronald Brachman explain “why current AI systems hopelessly lack common sense, why they desperately need it, and how they can get it”. In this episode of Bridging the Gaps, I speak with Professor Ronald Brachman, one of the authors of this book. We discuss various topics covered in the book and explore the question, how we can create artificial intelligence with broad, robust common sense rather than narrow, specialised expertise.

Professor Ron Brachman is the director of the Jacobs Technion-Cornell Institute and is a professor of computer science at Cornell University. Previously, he was the Chief Scientist of Yahoo! and head of Yahoo! Labs. Prior to that, he was the Associate Head of Yahoo! Labs and Head of Worldwide Labs and Research Operations.

We start off with a detailed discussion about the progress that we have made in recent decades, in developing narrowly focused and task oriented artificial intelligence systems. Some of these systems outperform humans; however we do acknowledge and discuss the need for developing artificial intelligence systems that can operate in general settings. We discuss the concept of artificial general intelligence and explore how understanding “human common sense” and equipping AI with common sense is an extremely important milestone in our journey toward developing artificial general intelligence. We discuss the challenge of developing a clear and thorough understanding of the nature and working of human common sense. We explore how “common sense” might be modelled and incorporated in future artificial intelligence systems. We then discuss the future of artificial general intelligence.

Complement this discussion with Artificial Intelligence: A Guide for Thinking Humans” with Professor Melanie Mitchell and with Artificial Intelligence: Fascinating Opportunities and Emerging Challenges with Professor Bart Selman and then listen to 2062: The World That AI Made” with Professor Toby Walsh

By |June 4th, 2022|Artificial Intelligence, Computer Science, Future, Podcasts, Research, Technology|
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