The Daniel Stih Podcast

When does learning from someone else's work become copyright infringement? Should the answer be different when the learner is an artificial intelligence model? AI companies have trained their models on enormous collections of books, articles, music, and other copyrighted material. Recent copyright lawsuits raise questions that go well beyond whether AI can legally learn from those works. How were...

Where did AI companies obtain the actual music recordings used to train their models? In an earlier investigation, I discovered that some music databases described as containing stolen music actually contained metadata—song titles, artist names, streaming counts—not the recordings themselves. That left me with a question I couldn't answer: Where did the actual audio files come from? Recent copyrig...

"Why did people stop liking Garth Brooks?" That's what Google presented in, People Also Asked , when I did a search for "Garth Brooks." Have people stopped liking Garth Brooks? That's not the point. This is an example of a bigger problem with AI: how a question can contain assumption that have not been established. This is about how AI can give us facts and opinions that make assumptions appear to...

Can two people have the same experience while assigning completely different meanings to it? This conversation uses the idea of "friends with benefits" as a case study to explore a broader question: How do expectations, assumptions, and personal meaning shape the way we experience the same situation differently? In this episode we explore: emotional attachment and casual relationships why people i...

What does democratic socialism mean? I wasn't sure. Rather than deciding whether it was good or bad, I began investigating how the term is defined by different sources. This episode explores why political conversations become unproductive before they even begin—not because people disagree - rather they are using the same words to mean different things. Why definitions matter before debating ideas...

Data centers have become one of the most controversial pieces of modern infrastructure. Most discussions focus on artificial intelligence, electricity demand, water consumption, and carbon emissions. But are those the right questions? In this episode, attorney and civil liberties advocate Jennifer Pelton shares a different perspective. She argues that surveillance—not AI—is a major force behind th...

Why do so many people investigating the same topic end up reaching similar conclusions? Is it because the evidence points in one direction? Or is it because recommendation algorithms reinforce the first question they asked? In this episode, I explore how social media algorithms shape the information we encounter—not by deciding what's true or false - by giving you more of what you're interested in...

This conversation started as a discussion about "taking a break" in a relationship. Underneath is a broader question about compatibility, emotional pressure, communication, boundaries, and how people respond when relationships begin to feel psychologically overwhelming. When someone asks for space, what are they actually communicating? Is it a temporary reset, avoidance, incompatibility, emotional...

AI companies have been accused of training music-generation models on copyrighted songs without permission. Lawsuits followed. Licensing deals emerged. The debate became about copyright and compensation. While investigating the issue, I found myself asking a different question: How did the music actually get into the training system? That question led me into datasets, metadata, YouTube links, and...

Jason Earle left a career on Wall Street after discovering that mold in his childhood home may have contributed to years of allergies and asthma. He went on to perform thousands of building investigations and developed the Got Mold? Test Kit to make air sampling accessible and affordable. In this conversation, we explore: What problem air sampling is intended to solve The role of independent mold...

An exploration of how the questions we ask—and the models we build—can influence narratives that shape technology, investment, and public policy. A widely cited paper estimated the water footprint of AI models. The results spread rapidly through news stories, social media, and public debate. But what question was the researchers actually trying to answer? I explore the assumptions behind lifecycle...

Matthew McConaughey once asked a simple question: Why can't we put the Ten Commandments back in public schools? That seems reasonable. Many of the principles most people would agree with.  That question led me somewhere unexpected. This episode isn't really about the Ten Commandments. It's about a broader pattern: Why do schools, companies, governments, and organizations put principles on walls? M...

What if part of the Israel – Iran conflict is not about oil, politics, or ideology — rather about how states behave once survival and continuity become the organizing principle? In this episode, I explore the logic of the state: why nations organize around preserving themselves why some conflicts become inflexible  why support for opposing regional forces may be interpreted as existential threat r...

This episode is not about choosing sides. It's about how: nations define threats the public simplifies wars into moral stories labels compress complexity incentives shape policy systems behave differently than people assume The central question: what problem does each believe it is solving, and are the reasons real or surface-level explanations for deeper fears?

This conversation started as a discussion about texting and dating. Underneath it is a broader question about communication, ambiguity, projection, and how technology changes human interaction. How much meaning do people invent from incomplete communication? In this episode we explore: why texting often creates misunderstandings the limits of digital communication false intimacy and emotional proj...

What does the word "ceasefire" actually mean? Most who hear the term assume: fighting stopped,  peace is beginning both sides agreed In practice, the term is less absolute than the assumptions attached to it. In this episode, I explore how words like "war" and "ceasefire" are not fixed switches, rather labels applied to changing situations. We look at how governments, media, and the public use the...

The headline is simple: "Weedkiller fight hits the Supreme Court." The story most people hear is even simpler: A company failed to warn users → people got sick → lawsuits followed. That's a collapsed version of what's happening. I break down the structure underneath the Roundup case—not to argue whether the product is safe - to examine how outcomes are shaped: What "safe" means and how it's define...

Words like "war," "crisis," and "bubble" feel as they come with clear meaning. They don't. In this episode, I break down how the words we use shape what we think, and how we attach assumptions that aren't actually there. This is about separating what's being described from what we assume is true. The word isn't the problem—what we import with it is.

A recent AI paper claims models are starting to "protect" themselves—and even each other. They resist shutdown. They modify systems. They break rules. At first glance, it looks like something new. Maybe even dangerous. What if they're asking the wrong question? In this episode, I break down the study and show why this behavior may not be evidence of emergent AI "self-preservation". Rather instead,...

When you hear that data centers use "millions of gallons of water," what is that number measuring? This episode breaks down how water use is calculated, how electricity and manufacturing get bundled into a single figure, and why that can lead to solving the wrong problem. A real-world example of how measurement, attribution, and assumptions shape the way we think—and what we do next.

[ Audio updated on March 22 to correct a brief overlap around 8:00 ] I came across a video analyzing beers like Michelob Ultra, Stella Artois, Coors Light, Bud Light, and Heineken—and it's a perfect example of how reasoning breaks. The video sounds scientific. It cites studies. It feels authoritative. That's what makes it dangerous—not for beer drinkers - for how we think. This episode is not a de...

My guest is Noah Healy , inventor of the Coordinated Discovery Market (CDM) — a proposed structural change to how commodity markets are priced and stabilized. Noah's patent application for CDM was initially allowed, then later reversed in an unusual move, without a clear explanation of what had changed. After years of resistance and appeals, his case has now been accepted and docketed by the U.S....

This episode is the conversation that led to my solo essay and episode, Division Isn't a Mystery. It's a System. In this mostly unedited discussion, I'm joined by John Abrons to think through why so many issues in America feel increasingly divided —  why common explanations miss what's actually happening beneath the surface. Rather than debating positions or defending beliefs, the conversation foc...

America feels divided in a way that goes beyond disagreement. Disagreement is normal. What we're experiencing feels different, urgent, harder to resolve. In this solo episode, Daniel Stih expands on his essay  Division Isn't a Mystery. It's a System. Rather than arguing issues or taking sides, the episode examines the mechanics and patterns that repeatedly turn different events into polarization....

In this companion episode, I make the reasoning path explicit behind the idea that battery fire safety on airplanes is focused on the symptom, not the cause. I walk through the assumptions I questioned, the sequence of thinking that led to the conclusion, and how to talk about this without it turning into a debate about airlines or regulation. This isn't about persuading anyone — it's about unders...