Four Videos to Consider - On Artificial Intelligence
There is significant interest in and confusion about Artificial Intelligence dynamics. The following videos may help to clarify: 1) technological advancements that improve AI performance and reduce its environmental impact, 2) AI's role in supporting real-world interactions, 3) governance and ethical considerations and 4) methods to enhance large language model results, such as minimizing hallucinations.
“On superhuman AI, future architectures, and the meaning of human existence”: May 15, 2024 (duration 44:58)
An interview with Max Tegmark; renowned physicist and AI researcher, professor at the Massachusetts Institute of Technology(MIT), affiliated with Institute for Artificial Intelligence & Fundamental Interactions (IAIFI), Center for Brains, Minds, and Machines(CBMM); author of bestselling books: "Life 3.0: Being Human in the Age of Artificial Intelligence" (2017), "Our Mathematical Universe: My Quest for the Ultimate Nature of Reality" (2014); co-founder of the Future of Life Institute.
“With Spatial Intelligence, AI Will Understand the Real World” (May 16, 2024) (duration: 15:11)
AI pioneer Fei-Fei Li, Stanford professor and Co-Director of the Human-Centered AI Institute, gives a TED talk on machines gaining 'spatial intelligence.' This ability allows AI to process visual data, understand 3D environments, and act on predictions. Li explores how this advancement could enable AI to interact more effectively with humans in the real world, discussing applications in robotics, autonomous vehicles, and augmented reality. She emphasizes the potential for human-AI collaboration while addressing ethical considerations.
“Just Machine Learning” a presentation at the Santa Fe Institute: June 4, 2024 (duration: 1:13:25)
Dr. Tina Eliassi-Rad, a renowned computer scientist and professor at Northeastern University's Khoury College of Computer Sciences, offers valuable insights into the field of artificial intelligence (AI). In her discussions, she covers three key aspects: 1) historical context of AI development, 2) its current state and 3) governance, accountabilityand ethical considerations.
https://www.youtube.com/live/JuONmGtAoIY?si=pYLcFYs9czulfcuW
“What is Retrieval-Augmented Generation (RAG)?”: August 23, 2023 (duration 6:35)
Marina Danilevsky, a senior research scientist at IBM, explains the functionality of "retrieval-augmented generation" tools and their potential to enhance the performance of large language models (LLMs). These tools can significantly reduce inaccuracies, such as hallucinations, in LLM outputs.