Jason Burton on LLMs and collective intelligence, algorithmic amplification, AI in deliberative processes, and decentralized networks (AC Ep68)

by shan | Oct 30, 2024 | Podcast

“When you get a response from a language model, it’s a bit like a response from a crowd of people, shaped by the preferences of countless individuals.” – Jason Burton About Jason Burton Jason Burton is an assistant professor at Copenhagen Business School...

Tom Hope on AI to augment scientific discovery, useful inspirations, analogical reasoning, and structural problem similarity (AC Ep41)

by shan | Apr 24, 2024 | Podcast

“The unique ability of AI and LLMs recently to reason over complex texts and complex data suggests that there is a future where the systems can help us humans find those pieces of information that help us be more creative, that help us make decisions, and that...

Charlene Li on generative AI strategy, AI book editors, prompt libraries, and wisdom hacking (AC Ep37)

by shan | Mar 27, 2024 | Podcast

“My hope is that in the future, we are so focused on acquiring knowledge in our schools and our educational system, my hope is that we will also be focused on acquiring wisdom, if we know how to measure it and how to develop it.” – Charlene Li About Charlene Li...

Philipp Schoenegger on AI-augmented predictions, improving human decisions, LLM wisdom of crowds, and how to be a superforecaster (AC Ep36)

by shan | Mar 20, 2024 | Podcast

“One of the main strengths of the current generation of large language models is the ability of their interactive nature to provide a highly competent model that people can interact with and query whatever they want.” – Philipp Schoenegger About Philipp Schoenegger...