Inference - Uncover the hidden logic with Felix Mercer

What this episode covers

Join host Felix Mercer as he explores inference—the invisible force powering every conclusion you draw and every prediction machines make. From formal logic to probability theory, we'll unravel how minds and algorithms leap from known to unknown. When machines reason, are they truly thinking or just performing an elaborate illusion? Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV This content was created in partnership and with the help of Artificial Intelligence AI.

Share this episode

Similar Episodes

🤖 AI Lawyer Wins Historic Court Case, Five Eyes Spy Agencies Sound Alarm & $100M Floods AI Politics

Jun 23, 2026 ·8m

🤖 Nobel Prize Winner Defects, Public Turns on AI & Artists Fight Back

Jun 22, 2026 ·6m

🤖 The AI Models Governments Are Trying to Bury, Your Favorite Songs Inside AI Training Sets & The Chatbot Trap Nobody's Talking About

Jun 21, 2026 ·7m

🤖 Anthropic's AI Models Forced Offline — And the Reason Is More Alarming Than You Think

Jun 20, 2026 ·9m

Why Bayesian Statistics Is More Computational Than Ever

Jun 19, 2026 ·4m

🤖 Anthropic's AI Went Dark Overnight — And the Fallout Is Just Beginning

Jun 19, 2026 ·9m

Similar Podcasts

Casual Inference Lucy D'Agostino McGowan and Ellie Murray Keep it casual with the Casual Inference podcast. Your hosts Lucy D'Agostino McGowan and Ellie Murray talk all things epidemiology, statistics, data science, causal inference, and public health. Sponsored by the American Journal of Epidemiology. Spatial Web AI Podcast Denise Holt Active Inference AI & the Spatial Web The Future of AI is shared, distributed, and multi-scale.AI that is knowable, explainable, and capable of human governance.Based on the same mechanics as biological intelligence, it operates in a naturally efficient way, with no big data requirement.This is Active Inference AI & the Spatial Web. Generative AI Infrastructure: Scaling and Performance Optimization Anand V Generative AI Infrastructure: Scaling and Performance Optimization" is an in-depth exploration of the technical foundations needed to deploy and scale generative AI models efficiently. The book covers the essential components of AI infrastructure, from choosing the right hardware and cloud platforms to optimizing training and inference workloads for performance. Readers will learn about distributed training techniques, GPU/TPU utilization, model compression, and techniques for reducing latency in real-time applications. Learning Bayesian Statistics Alexandre Andorra Are you a researcher or data scientist / analyst / ninja? Do you want to learn Bayesian inference, stay up to date or simply want to understand what Bayesian inference is? Then this podcast is for you! You'll hear from researchers and practitioners of all fields about how they use Bayesian statistics, and how in turn YOU can apply these methods in your modeling workflow. When I started learning Bayesian methods, I really wished there were a podcast out there that could introduce me to the methods, the projects and the people who make all that possible. So I created "Learning Bayesian Statistics", where you'll get to hear how Bayesian statistics are used to detect black matter in outer space, forecast elections or understand how diseases spread and can ultimately be stopped. But this show is not only about successes -- it's also about failures, because that's how we learn best. So you'll often hear the guests talking about what

Frequently Asked Questions

How long is this episode of Inference?

This episode is 0 minutes long.

When was this Inference episode published?

This episode was published on April 16, 2026.

What is this episode about?

Join host Felix Mercer as he explores inference—the invisible force powering every conclusion you draw and every prediction machines make. From formal logic to probability theory, we'll unravel how minds and algorithms leap from known to unknown....

Is there a transcript available for this episode?

Yes, a full transcript is available for this episode. You can read the complete transcript on the episode page.

Can I download this Inference episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.