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Curated by: Ontology Explained: Philosophy and AI (109 videos)

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• Is AI Safety Just Alchemy? A Philosopher Reads “If Anyone Builds It,” Ch. 11
• I Tested Positive for Pregnancy. I’m Not Pregnant. (The Base Rate Fallacy)
• Bayesian Epistemology Explained: Why Belief Isn’t All-or-Nothing
• Is Building Superintelligence a “Cursed Problem”? | If Anyone Builds It, Everyone Dies Ch. 10
• Can We Control Superintelligence? | Analyzing Cal Newport's Arguments
• What If AI Actually Tried to Kill Us? | Section II of If Anyone Builds It...
• Can the Liar Paradox Prove AI Can't Be Controlled?
• Can Humanity Conquer a Rogue ASI? | Chapter 6
• Tu Quoque Explained: The Fallacy of Hypocrisy
• Will Superintelligent AI Want to Kill Us? | Chapter 5
• Yudkowsky and Soares Needed an Editor | Chapter 4, Part 2 of If Anyone Builds It
• Can We Predict What AI Will Want? | Yudkowsky & Soares Chapter 4 Part 1
• Appeal to Ignorance: When “We Don’t Know” Goes Wrong
• Do LLMs Really Understand? Examining Geoffrey Hinton's Arguments
• Does AI Really Want Anything? | If Anyone Builds It... Chapter 3
• Are AIs "Grown" or Built? Analyzing Chapter 2 of If Anyone Builds It, Everyone Dies
• The Most Common Fallacy? | Affirming the Consequent
• The Case for Superintelligence Is Surprisingly Thin | If Anyone Builds It... Chapter 1
• You Shouldn't Let ChatGPT Write Your Emails
• I Asked ChatGPT to Build an Ontology. Here's What Happened.
• An Honest Breakdown of Eliezer Yudkowsky's AI Doom Book
• If You Give a Mouse a Cookie... The Slippery Slope Fallacy
• What Ontology Actually Is | Casey Reacts
• Why AI Doom is Less Likely Than You Think | Response to Gasdive
• Ontologists Should Take Their Own Medicine (KGC 2026 Talk)
• My Experience at KGC 2026 | AI, Ontologies, and the “Year of Context”
• Knowledge Engineers Rock: Keith Corbett
• Heather Hedden: Are Taxonomists Ontologists (or Vice-Versa)?
• An Ontologist Explains Themselves: Alex Shifrin
• The Ship of Theseus Explained and Why It Matters for Data Modeling
• Roko's Basilisk Explained (And Debunked!)
• Can AI Think in a Private Language? Wittgenstein vs. GPT-6
• What Chess Engines Teach Us About AI and Human Knowledge
• AI: The Perfect Scapegoat for Corporate Layoffs
• Epistemology Explained: Knowledge from Plato to AI
• Merging Equivalent Concepts in OWL
• SPARQL in Protege? Try This Instead
• Situating Major Ethical Theories (And Applications for AI!)
• Geoffrey Hinton is Wrong About AI Understanding
• State of the Channel (End of 2025)
• Ethics Explained: Applied, Normative, and Metaethics in 15 Minutes
• Doomerism Explained: The Case AI Will End Humans
• The Danger of Changing Levels: Fallacies of Composition and Division Explained
• Do LLMs Actually Understand the World? (Spoiler: No.)
• Pascal’s Wager Explained
• Ontology FAQs: Five Questions I Always Get Asked
• AI Explained: A Discipline, Minds, and the Messy Third Definition
• The T-Box/A-Box Myth — And What Quine Can Teach Ontologists
• The Alignment Problem Explained
• Goals: Are they for LLMs, Cats, and Thermostats?
• The Red Herring Fallacy: Don’t Get Distracted!
• How Much Does Your Ontology Really Know?
• Thought Experiment: How Intelligent Are Mushrooms?
• Chess Openings Import: [Chess #5]
• Newcomb’s Problem Explained: One Box Or Two?
• How to Pivot Into Ontology: Jobs, Skills, and the Future of the Field
• The Philosophers Fallacy!? (Let's call it 'Blueprint Bias')
• Why I Use Emacs for Ontologies (and How to Memorize a HUGE Knowledge Graph) [AMA #1]
• I'm Sick of the ASI Fear-Mongering (Hank Green's Video Made Me Rage, Featuring Nate Soares)
• Let's Build A Chess Ontology #4
• Channel Update #2
• Ontology Stitching: How to Align/Merge Enterprise Knowledge Graphs (A Practical Guide)
• Beyond True/False: A Practical Guide to Probabilistic Modeling in OWL and RDF
• OWL Punning: Make Sure Your Ontology Isn't a Joke
• Don't Be a Sheep: The Ad Populum Fallacy Explained
• So, you want to be an ontologist? Here's what you do.
• The Secret to Type-Level Claims: Avoiding Logic Errors in OWL
• SPARQL Exploration: Querying Blind
• The Ad Hominem Fallacy: Distracting Attacks
• How I Became An Ontologist
• The Principle of Charity: The Cure for the Straw Man Fallacy
• Let's Build a Chess Ontology (Part 3)
• SPARQL Inference Made Easy
• Fallacies Explained: Why Bad Arguments Fail
• The Spectrum of Artificial Intelligence: Def'n #4
• Inference in Protégé
• Let's Build a Chess Ontology (Part 2)
• LLMs Don't Hallucinate -- They Make Mistakes
• Inference
• Let's Build a Chess Ontology (Part 1)
• Logic Explained: The Philosophy of Arguments
• Defining AI #3: Haugeland's GOFAI (minds in the literal sense)
• Philosophy Explained: What is philosophy?
• Synthetic Intelligence: Why Use "Artificial"?
• Podcast Appearance on Knowledge Graph Insights with Larry Swanson
• Defining AI #2: Intelligent Machines
• Can OWL Handle Many-to-Many?
• Labelled Property Graphs (LPGs)
• Categories
• Events in OWL/RDF
• OWL Restrictions
• The Dangers of Blank Nodes
• Blank Nodes
• Channel Update!
• Defining AI #1: Turing's Thinking Machines
• What is Artificial Intelligence? (I bet you don't know, either.)
• XSD Terms You Need to Know
• OWL Terms You Need to Know
• RDFS Terms You Need to Know
• RDF Terms You Need to Know