Richard H. Thaler provides insights on the relationship between artificial intelligence (AI) and human decision-making. He shares two humorous anecdotes that frame his perspective on AI: 1. Natural Stupidity vs. Artificial Intelligence: Thaler cites a joke from Amos Tversky, a renowned psychologist, who humorously remarked that his expertise was in “natural stupidity” rather than artificial … Read more

Aubrey de Grey discusses the goals of artificial intelligence (AI) research, emphasizing the importance of building AI systems with common sense rather than pursuing superintelligent, recursively self-improving machines. Here are the key points: 1. Common Sense AI: De Grey believes that the primary goal of AI should be to create machines with common sense, often … Read more

Ian Bogost explores the concept of intelligence, both in the context of the search for extraterrestrial intelligence (SETI) and the development of thinking machines. He challenges uniformitarian assumptions and suggests a broader perspective on intelligence: 1. SETI and Assumptions: Bogost points out that SETI assumes intelligence in the universe will resemble human intelligence, leading to … Read more

Giulio Boccaletti discusses the evolution of human productivity and the potential of artificial intelligence (AI) in the context of managing Earth’s resources: 1. Historical Productivity: Boccaletti highlights the significant increase in productivity in the field of information processing over the past century. AI and machines have made tremendous strides in handling vast amounts of data … Read more

Brian Christian explores the evolving dynamics of human interactions in the context of artificial intelligence and technology: 1. Shifting Expectations: In the past, people relied on each other for information and answers to questions. However, with the advent of technology, particularly smartphones and search engines, the expectation has shifted, and people often turn to these … Read more

Satyajit Das examines the complex implications of thinking about machines that think and highlights several key points: 1. Technology and Faith: The belief in the rapid progression of technology, often referred to as the Singularity, is compared to belief systems like totems, magic, or organized religion. It serves as a source of control, material prosperity, … Read more

Hans Halvorson explores the notion of thinking in the context of computers and humans, emphasizing that thinking machines can process information but lack the capacity for metathought, the ability to think about their own thinking. Key points from his perspective include: 1. Defining Thinking: Halvorson suggests that by a reasonable definition of thinking, computers can … Read more

Bart Kosko argues that machines do not “think” in the traditional sense but rather approximate functions, emphasizing that they are essentially pattern recognition devices. Key points from his perspective include: 1. Machine Function Approximation: Kosko asserts that machines, including AI systems, excel at approximating complex functions, particularly those related to patterns, such as images, speech, … Read more

Sam Harris addresses the looming possibility of creating superhuman artificial general intelligence (AGI) and the profound ethical and practical challenges it presents. Key points from his perspective include: 1. Inevitability of Superhuman AGI: Harris acknowledges the likelihood of eventually building machines with superhuman intelligence as long as we continue to advance computing technology. 2. False … Read more

Gary Marcus expresses skepticism about the current state of artificial intelligence (AI) and its prospects for achieving human-like thinking. He highlights several key points: 1. Current Limitations: Marcus emphasizes that despite significant advancements in narrow AI applications, such as chess-playing or text translation, there has been limited progress in achieving strong AI that can exhibit … Read more