Free Daily Podcast Summary
Data Skeptic: Daily Summaries Delivered
by Kyle Polich
The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.
Latest Episodes
The most recent episodes — sign up to get AI-powered summaries of each one.
- 1 weeks ago26 min
TastePrint
What if we could 3D print food with customized flavors and textures? Yamato Miyatake joins us to explore how digital food fabrication, human-computer interaction, and AI could transform the future of cooking and dining.
- 2 weeks ago30 min
Gestures Around the Ear
The next evolution of wearable technology may not require new screens or controllers, but new ways to interact with the devices we already wear. Shimon explores how gesture-sensing earbuds could transform virtual reality and wearable computing through intuitive, user-centered interactions that make technology more accessible and adaptable.
- Oct 5, 202644 min
Implicit Interactions
How do we design robots and autonomous vehicles that understand the unwritten rules of human behavior? Kyle speaks with Cornell Tech professor Wendy Ju about implicit interaction, "Wizard of Oz" prototyping, and what studying pedestrians, self-driving cars, and even robotic furniture can teach us about designing technology that behaves the way people expect.
- Sep 25, 202634 min
The Lived Informatics Model
The data we collect about ourselves can tell us a lot—but only if the technology collecting it actually fits into our lives. Daniel Epstein explores personal informatics, from fitness trackers and food journals to baby tracking and AI, and explains why abandoning a tracking tool doesn't necessarily mean it failed.
- Sep 9, 202622 min
Recommender Systems Today and Tomorrow
In the final episode of our Recommender Systems season, we explore the growing questions of trust, manipulation, privacy, fairness, sustainability, and user control. From fake reviews and shilling attacks to explainable recommendations and user-selected algorithms, we look at what happens when recommender systems must answer not only for what they recommend, but for the consequences of those choices.
- Sep 1, 202631 min
Recommender Systems Optimization Goals
In part two of the Data Skeptic Recommender Systems season finale, Kyle asks a deceptively difficult question: what should recommender systems actually optimize for? Drawing on conversations from across the season, the episode explores engagement, filter bubbles, popularity bias, fairness, human curation, embeddings, and the growing role—and risks—of large language models in shaping what gets recommended to us.
- Aug 18, 202625 min
Recommender Systems Origin Story
Where did recommender systems come from, and how do we know when they're actually working? In part one of Data Skeptic's three-part Recommender Systems finale, Kyle traces the field from collaborative filtering and the Netflix Prize to matrix factorization and modern approaches, while exploring why accuracy alone can't capture what makes a recommendation useful, surprising, or meaningful.
- Jul 27, 202642 min
Social Choice for Fair Recommendations
Recommender systems influence nearly every aspect of our digital lives—but what does it mean for those systems to be fair? Robin Burke joins Data Skeptic to discuss the history of recommender systems, the limitations of optimizing purely for accuracy, and how ideas from social choice theory can help balance the needs of users, creators, and society. The conversation explores the future of recommendation algorithms and why fairness is a far more complex challenge than it first appears.
Get Data Skeptic summaries in your inbox
Free AI-powered daily recaps. Key takeaways, quotes, and mentions — in a 5-minute read.
Get Free Summaries →Free forever for up to 3 podcasts. No credit card required.
You Might Also Like
Listeners also like.
Data & Science with Glen Wright Colopy
Discusses healthcare technology with experts, focusing on data science and engineering innovations in clinical applications.
Data Science Rabbit Podcast
Examines how data science is applied in real-world scenarios through storytelling and practical examples.
Data Science With Sam
Discussions with data scientists and AI practitioners about real-world tools, deployments, and challenges in data science and artificial intelligence.
Interconnects
Exploring AI advancements through in-depth interviews with scientists and critical analysis of the technology beyond the hype.
Give Methods A Chance
The Society Pages
Machine Learning Street Talk (MLST)
Discussions with leading AI researchers and thinkers exploring machine learning, cognitive science, and philosophy of mind without hype.
Inquiring Minds
Explores the intersection of science and society through critical thinking and in-depth analysis.
Dope Labs
Two scientist best friends break down trending topics through a scientific lens, making complex concepts accessible and entertaining.
"The Cognitive Revolution"
Explores the transformative impact of artificial intelligence through interviews with innovators shaping its future.
Unsupervised Learning with Jacob Effron
Conversations with leading AI experts to understand current breakthroughs and future implications for technology and business.
So, Get This
iHeartPodcasts and Bubbler
Unbiased Science
Dr. Jess Steier and guests analyze viral health claims using scientific evidence and explain key findings for everyday conversations.
About Data Skeptic
The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.
Customized Recaps
AI-powered recaps with compact key takeaways, quotes, and insights.
Straight to Your Inbox
Get key takeaways from Data Skeptic in a 5-minute read.
Save Hours Every Week
Stay current on your favorite podcasts without falling behind.
Frequently Asked Questions
What is Podzilla's Data Skeptic daily summary?
It's a free AI-powered email that summarizes new episodes of Data Skeptic as soon as they're published. You get the key takeaways, notable quotes, and links & mentions — all in a quick read.
How does the Data Skeptic podcast summary work?
When a new episode drops, our AI transcribes and analyzes it, then generates a personalized summary tailored to your interests and profession. It's delivered to your inbox every morning.
Is this an official Data Skeptic product?
No. Podzilla is an independent service that summarizes publicly available podcast content. We're not affiliated with or endorsed by Kyle Polich.
Can I get summaries of other podcasts too?
Absolutely! The free plan covers up to 3 podcasts, any in the catalog. Basic raises that to 15, Pro to 40 and Max to 100. Browse our full catalog at /podcasts.
What topics does Data Skeptic cover?
Data Skeptic covers topics including Science, Technology, Mathematics. Our AI identifies the specific themes in each episode and highlights what matters most to you.
Start getting Data Skeptic summaries tomorrow morning.
Free forever for up to 3 podcasts. No credit card required.
Free forever for up to 3 podcasts. No credit card required.