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Jennifer Haase on human-AI co-creativity, uncommon ideas, creative synergy, and humans outperforming (AC Ep83)

Jennifer Haase on human-AI co-creativity, uncommon ideas, creative synergy, and humans outperforming (AC Ep83)

by shan | Apr 2, 2025 | Podcast

“We humans often tend to be very restricted—even when we are world champions in a game. And I’m very optimistic that AI will surprise us, with very different ways of solving complex problems—and we can make use of that.” – Jennifer Haase About...
Charlene Li on generative AI strategy, AI book editors, prompt libraries, and wisdom hacking (AC Ep37)

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)

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...
Marek Kowalkiewicz on the economy of algorithms, armies of chatbots, LLMs for scenarios, and becoming minion masters (AC Ep34)

Marek Kowalkiewicz on the economy of algorithms, armies of chatbots, LLMs for scenarios, and becoming minion masters (AC Ep34)

by shan | Mar 6, 2024 | Podcast

“We humans need to be the ones who work with algorithms to make sure that they don’t take the wrong path, don’t deteriorate, don’t misunderstand our intentions, and don’t create outcomes that we don’t want.” – Marek Kowalkiewicz About...

Recent Posts

  • Carl Wocke on cloning human expertise, the ethics of digital twins, AI employment agencies, and communities of AI experts (AC Ep3)
  • Nisha Talagala on the four Cs of AI literacy, vibe coding, critical thinking about AI, and teaching AI fundamentals (AC Ep2)
  • HAI Launch episode
  • Kunal Gupta on the impact of AI on everything and its potential for overcoming barriers, health, learning, and far more (AC Ep86)
  • Lee Rainie on being human in 2035, expert predictions, the impact of AI on cognition and social skills, and insights from generalists (AC Ep85)

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