ID the Future Intelligent Design, Evolution, and Science Podcast
Topic

large language models

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Bill Dembski: Pursuing Truth and Trust in AI and LLMs

How does AI stack up when it comes to accurately representing the theory of intelligent design? Today, host Andrew McDiarmid speaks with mathematician and philosopher Dr. William Dembski about the reliability and accuracy of large language models (LLMs) like ChatGPT and Bard, particularly concerning intelligent design. This second half of the conversation highlights the importance of independent verification when using AI, as LLMs can “hallucinate” or generate false or biased information. Dembski advises an approach of verify, then trust, turning the old Russian proverb on its head. McDiarmid and Dembski also explore the potential for AI to enhance human capabilities and education if used judiciously, rather than becoming a crutch that erodes critical thinking. But that will require that we Read More ›

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Can AI Accurately Portray Intelligent Design?

How accurately do AI models like ChatGPT, Grok, and Bard portray the theory of intelligent design? Can large language models rise above the biases of sources like Wikipedia to help level the playing field for intelligent design? Today, host Andrew McDiarmid begins a conversation with mathematician and philosopher Dr. William Dembski to address the relationship between AI and ID. In recent years, Dr. Dembski has been putting LLMs through their paces to see if they can accurately and fairly discuss and portray intelligent design arguments and concepts. Here, Dembski discusses what he discovered as he used various methods to interrogate these complex algorithms. This is Part 1 of a two-part conversation. Look for Part 2 in a separate episode. Read More ›
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Photo by Ashlee Best at the 2024 COSM Technology Summit. © Discovery Institute.

Larry Sanger on Wikipedia, AI, and Preserving Human Knowledge

On this episode of ID The Future, hosts Andrew McDiarmid and Nathan Jacobson continue their conversation with Wikipedia co-founder Larry Sanger. In this segment, Sanger explains how his philosophy to decentralize the world's knowledge plays into science and truth-seeking in the age of AI. He talks about the shortcomings of large language models and why humans are irreplaceable and essential to increasing our understanding of the world. Sanger also discusses the challenges that online encyclopedias like Wikipedia have faced in accurately and fairly reflecting controversial or important topics. This is Part 2 of a two-part conversation. Check out Part 1 in a separate episode! Read More ›
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Can AI Help Us Assess Neo-Darwinism?

Can artificial intelligence be applied to the scientific theory of Darwinian evolution to help us evaluate its strengths and weaknesses? On this episode of ID The Future, host Casey Luskin concludes his conversation with two distinguished PhD scientists who are asking tough questions of Neo-Darwinism: Olen Brown, Professor Emeritus of Biomedical Sciences at the University of Missouri, and David Hullender, Professor of Mechanical and Aerospace Engineering at the University of Texas, Arlington. In Part 2, Luskin discusses the latest paper from Brown and Hullender arguing that AI has strong but unrealized potential both for assessing and also solving major problems with the prevailing naturalistic account of life's origins. This is Part 2 of a two-part conversation. Read More ›