Science · University of Chicago Podcast Network
by University of Chicago Podcast Network
Big Brains explores the groundbreaking research and discoveries that are changing our world. In each episode, we talk to leading experts and unpack their work in straightforward terms. Interesting conversations that cover a gamut of topics from how music affects our brains to what happens after we die.
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Position in the Science chart (US), last 90 days.
Where Big Brains ranks today in each Apple Podcasts chart (US, Oct 13, 2026).
A curated, balanced selection of Apple Podcasts reviews.
Friends, This podcast is full of sound, well-researched advice from professional panels and interviews. Never a dull episode.
Excellent. Concise, informative, plausible and easy listening
It's informative, interesting, and approachable! A great way to communicate complicated science topics to people who are far busier than is probably good for us.
Big Brains podcast is an absolute must-listen for anyone interested in gaining insights into the minds of some of the most influential people in the world today. Each episode features in-depth interviews with top academics, experts, and researchers who share their expertise and experience on topics ranging from technology, science, politics, and much more. The podcast host, Paul Rand, is an incredible interviewer who knows how to ask thought-provoking questions that stimulate engaging and informative discussions. The guests are experts in their fields and share their knowledge in a way that is both accessible and fascinating. One of the standout features of Big Brains is its ability to make complex topics easy to understand. Whether you are an expert in the field or a curious listener, you will leave each episode with a better understanding of the topic and its relevance in today's world. Overall, I highly recommend the Big Brains podcast to anyone who wants to expand their knowledge and stay up to date with the latest trends and ideas in various fields. It is a must-listen for anyone who wants to engage in intelligent discussions and gain valuable insights from some of the brightest minds in the world."
The contents of the podcast (based on the transcript) would not be essentially altered if every use of the term “AI” were to be replaced by “statistics” (or perhaps “computational statistics”. The current state of the AI research field is that it is dominated by “statistical” methods, such as “machine learning” and “neural nets”. It is debatable whether “intelligence” is involved or is relevant to this work. There has clearly been a major “breakthrough” in modern statistics where the use of data structures and algorithms (e.g. neural nets and their training) has overshadowed the classical methods based on analytic functions (distributions). The use of “AI” in science should amount to use of these new, modern methods of statistical modeling. Use of “Large Language Models” and chatbots based on them should definitely be discouraged, in science as in medicine, law, or any other field where truth and accuracy and judgement are valued.
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