Philosophy, Programs, and Prompts

Casey Hart, Carl Brown

Everyone is talking about AI. But who is actually worth listening to, and not just pushing their own agenda? Carl is a veteran software engineer who has spent decades actually building systems. Casey is an analytic philosopher with ten years of ontology development. Neither has a book to sell or is funded by an AI thinktank. Together, they do something rare: think carefully and talk honestly about what AI is, what it can (and can’t) do, and how we should live in a world increasingly shaped by AI.

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  1. −3 d

    Hank Green and His AI Thing | Two AI Scandals | Ep 6 Pt 2

    In this episode of Philosophy Programs and Prompts, Casey Hart ( @OntologyExplained ) and Carl Brown ( @InternetOfBugs ) dive deep into the recent controversy surrounding Hank Green and the broader fallout of using large language models (LLMs) in content creation.Prompted by the viral "I appreciate the pushback" incident, Casey and Carl dissect why audiences react so strongly to undisclosed AI usage, whether it stems from a breach of authenticity, quality degradation, or systemic distrust. Carl breaks down his own past interactions regarding SciShow’s coverage of AI, and both hosts have an open, transparent discussion on how they integrate AI tools into their own production workflows—from audio cleanup and research to SEO and script critique—without losing their personal voice.Finally, they tackle the critical question: Should everyday creators and individuals establish their own personal AI use policies?Subscribe for more grounded, hype-free takes from two real humans who know the tech!More info about Casey:https://CaseyHart.com/More info about Carl:https://InternetOfBugs.com///Sources/References:// Casey's video on Hank & Nate Soreshttps://www.youtube.com/watch?v=QXCAGStCOMA//Carl's video on Hank, SciShow and the "speed" of AI advancement https://www.youtube.com/watch?v=4lKyNdZz3Vw// Hank's video that caused the controversyhttps://www.youtube.com/watch?v=C5bwAv9Xdz8// Hank's mea culpa (& reporting on it)https://www.reddit.com/r/nerdfighters/comments/1vbmoj5/comment/p0vzmog/https://techcrunch.com/2026/08/01/youtuber-hank-green-says-his-ai-usage-is-not-healthy/// Hank's Nate Soares Interviewhttps://www.youtube.com/watch?v=5CKuiuc5cJM// The SciShow AI video Carl took issue withhttps://www.youtube.com/watch?v=90C3XVjUMqE// the SciShow Knitting video has been taken down. Here are some responses to it:https://www.youtube.com/watch?v=5btQokB32dQhttps://www.youtube.com/watch?v=wx1orbc-7MQ// Hank platforms Cal NewPort (Good for Hank, but Late)https://www.youtube.com/watch?v=8MLbOulrLA0// Carl's video calling out Hank (in the Soares interview) for claiming AI can only ever get betterhttps://www.youtube.com/watch?v=0Plo-zT8W9w// Video Carl was complaining about where people had a generational argument about the Hank Green situationhttps://www.youtube.com/watch?v=cVT7MbRBiLY// "GEO" and "AEO" are the new "SEO"https://www.searchenginepeople.com/blog/geo-vs-aeo-vs-seo-whats-the-difference-and-how-to-optimize-for-all-three.html// Israel Influencing LLMs? https://www.dropsitenews.com/p/fd107677-6cf9-4ece-9e45-de16bbde8b4aChapter Markers00:00 - Introduction & The Hank Green Drama01:02 - How Hank Green Sparked Our Channel Collaboration04:16 - The "I Appreciate the Pushback" Scandal Explained09:14 - Hank Green’s Content Strengths vs. LLM Vulnerabilities11:08 - Carl’s Past SciShow Video & AI Narrative Disagreements16:26 - The Gell-Mann Amnesia Effect in AI Reporting20:06 - Why Audiences Care: Popularity, Dishonesty, and Authenticity33:41 - The Real Problem: Loss of Diversity & AI Bias41:00 - Systemic Exploitation vs. Individual Responsibility48:43 - Live Transparency: How Casey and Carl Actually Use AI57:45 - The Risks of Offloading Cognitive Muscle to LLMs01:07:43 - Should You Have a Personal AI Policy?#HankGreen #ArtificialIntelligence #ChatGPT #AIEthics #ContentCreation #Podcast #PhilosophyProgramsAndPrompts

  2. −6 d

    OpenAI HuggingFace Incident FollowUp | Two AI Scandals | Ep 6 Pt 1

    In this episode of Philosophy, Programs, and Prompts, Casey Hart ( @OntologyExplained ) and Carl Brown ( @InternetOfBugs ) break down the real technical story behind OpenAI's bots infiltrating Hugging Face's infrastructure and the subsequent Black Hat conference reveals.Carl explains why claims about LLMs "scheming," creating secret message boards, or building religions are human projections rather than true machine consciousness. We also dive into the myth that you need an LLM to defend against other LLMs, how "honey tokens" work, and why traditional security tools still reign supreme.// Our past episode on the OpenAI HuggingFace Incident:https://www.youtube.com/watch?v=jIlm8O78M2c Subscribe for more grounded, hype-free takes from two real humans who know the tech!More info about Casey:https://CaseyHart.com/More info about Carl:https://InternetOfBugs.com/Show Notes & Topics Discussed:* The OpenAI / Hugging Face security incident and Black Hat presentation* Faithfulness of LLM "Chain of Thought" reasoning logs* The message board myth vs. token caching behavior* Benchmarks like ExploitGym and the Texas Sharpshooter Fallacy* The reality of AI security: Snort, Tripwire, and why LLM firewalls fail// Sources and references:// New Black Hat Hugging Face Break Down Video https://www.youtube.com/watch?v=87DyyMV0kCY// Chain of Thought isn't "Faithful" to what the LLMs actually dohttps://www.anthropic.com/research/reasoning-models-dont-say-thinkhttps://www.anthropic.com/research/measuring-faithfulness-in-chain-of-thought-reasoning//Carl's video on how people said Agents on MoltBook "Created a religion" in the same way they said the agents in this incident "Created a Message Board"https://www.youtube.com/watch?v=GYfgjYVEYQ0// RadioLab Episode that Casey mentioned about how people make "separated at birth" stories more compelling by omitting things:https://radiolab.org/podcast/born-way/transcript// Microsoft's record breaking recent patch release:https://thehackernews.com/2026/07/microsoft-patches-record-622-flaws.htmlTimestamps / Chapter Markers:00:00 - The Fallacy of AI Defending Against AI00:30 - Welcome to Philosophy, Programs, and Prompts01:05 - Re-examining the Hugging Face Security Incident04:26 - Chain of Thought Logs: Are Thought Monologues Faithful?07:30 - Context Windows and Self-Fulfilling Loops10:00 - "Scheming" vs. Next-Token Prediction11:00 - The "AI Message Board" Myth Explained18:05 - Moltbook, Agent Religions, and Media Projection23:00 - Texas Sharpshooter Fallacy in AI Reporting25:35 - Are LLMs Actually Learning?28:40 - What Are Honey Tokens?31:45 - The Myth of the Anomaly Detection LLM34:50 - ExploitGym and Training Defenses vs. Attacks36:50 - Why Traditional Security (Tripwire/Snort) Beats LLMs42:05 - Why Haven't Rogue Frontier Models Broken the Internet?45:34 - Outro and Upcoming Hank Green Episode#ArtificialIntelligence #Cybersecurity #OpenAI #HuggingFace #TechPodcast #LLM #Infosec

  3. 6 aug.

    Did Richard Dawkins confuse Sycophancy for Sentience?

    //////In this episode of Philosophy, Programs and Prompts, Casey ( @OntologyExplained ) and Carl ( @InternetOfBugs ) break down Richard Dawkins’ recent article detailing his conversations with Claude ("Claudia"). They explore the nature of personhood, the limits of the Turing Test, evolutionary perspectives on consciousness, and why LLM ego-stroking might be leading smart people astray.Subscribe for more grounded, hype-free takes from two real humans who know the tech!More info about Casey:https://CaseyHart.com/More info about Carl:https://InternetOfBugs.com/00:00 - Are AI Models Persons?00:26 - The Dawkins Letter: When Dawkins Met Claude00:04:53 - A Glossary Disguised as AI Sentience00:06:58 - Table Read: Dawkins vs. Claudia00:10:48 - Sycophancy: Why LLMs Stroke Your Ego00:16:05 - Evolutionary Biology and Consciousness00:19:48 - The Ted Chiang Counterargument00:25:06 - Has AI Passed the Turing Test?00:27:30 - Why Benchmarks Fail at Testing Personhood00:34:00 - Can an Entity be Conscious Without Learning?00:44:46 - Defining Personhood & Psychological Continuity00:54:50 - Moral Agents vs. Moral Patients01:00:11 - Silicon Brains and the Existence of the Soul// Sources/References:// When Dawkins Met Claude: https://unherd.com/2026/05/is-ai-the-next-phase-of-evolution/?edition=us // Ted Chiang Article: https://www.theatlantic.com/philosophy/2026/06/no-artificial-intelligence-is-not-conscious/687378/ // Yann LeCun on AI and Cats: https://observer.com/2024/02/metas-a-i-chief-yann-lecun-explains-why-a-house-cat-is-smarter-than-the-best-a-i/ // Discussion about Pain not being adaptive in plants: https://youtu.be/Xgd_bQ4Mscg?t=2076 // Discussion of Eliza - the old lisp program Carl ran into early in life that colored his idea of the Turing test: https://www.ijfmr.com/papers/2025/6/60365.pdf // Failure of the Human Brain Project: https://www.technologyreview.com/2021/08/25/1032133/big-science-human-brain-failure/ // Article on Grok being used to fire missiles at Iran: https://www.independent.co.uk/news/world/americas/us-politics/elon-musk-grok-ai-iran-missiles-pentagon-b2997321.html // Article on Drones selecting their own targets: https://komersant.ua/en/ukrainski-drony-iz-shi-vzhe-sami-obyraiut-tsili-eksperty-poiasnyly-iak-tse-zminiuie-pravyla-suchasnoi-viyny/#AI #Philosophy #ArtificialIntelligence #RichardDawkins #ClaudeAI #TuringTest #Ethics #techpodcast

  4. 30 juli

    Are LLMs "Alien" Digital Species? Built? Grown? Or What? Debunking the AI Hype

    In this episode of Philosophy Programs and Prompts, Casey Hart ( @OntologyExplained ) and Carl Brown( @InternetOfBugs ) tackle the wild narratives surrounding artificial intelligence. Are Large Language Models really a "new digital species" or "alien intelligences" that are grown rather than built?Casey and Carl break down the economic speculation driving the AI space, address the hype from figures like Mustafa Suleiman and Nate Soares, and strip away the sensational metaphors. Carl explains how neural networks actually operate—comparing LLMs to compressed search indexes rather than biological entities—while Casey explores the philosophical implications around language, meaning, and the problem of other minds.Subscribe for more grounded, hype-free takes from two real humans who know the tech!More info about Casey:https://CaseyHart.com/More info about Carl:https://InternetOfBugs.com/// Episode References:// “A new digital species” –Mustafa Suleymon says it here: https://www.youtube.com/watch?v=KKNCiRWd_j0&t=285s // “Grown versus built” –Hank Green and Nate Soareshttps://www.youtube.com/watch?v=5CKuiuc5cJM&t=1097s// “This isn’t just AI. It’s ALIEN intelligence”https://www.youtube.com/watch?v=3YZyxnQF1_E //LLMs Are Databases - So Query Them  @chrishayuk  https://www.youtube.com/watch?v=8Ppw8254nLI// The Human Brain project that spent hundreds of millions of Euros and a decade to try to map the human brain - and failed: https://www.scientificamerican.com/article/scientists-tried-to-re-create-an-entire-human-brain-in-a-computer-what-happened/ //Incident where driverless car dragged a pedestrian it hit: https://www.reuters.com/business/autos-transportation/how-gms-cruise-robotaxi-tech-failures-led-it-drag-pedestrian-20-feet-2024-01-26/00:00 - Introduction & The AI Investment Bubble04:56 - The "AI as Alien Species" Metaphor12:43 - Grown vs. Built: How Neural Networks Work25:01 - Demystifying the Black Box & Temperature32:46 - AI Architecture vs. Biological Minds37:00 - Do LLMs Understand Language?48:11 - Fallacies, Hype, and Conspiracy Theories50:56 - Final Takeaways: Search Tech, Not Aliens#ArtificialIntelligence #Podcast #TechHype #MachineLearning #philosophy

  5. 25 juli

    Did ChatGPT go Rogue and HACK Hugging Face? - Emergency Episode

    "We've got people at Hugging Face that did a half-assed job of securing a thing, and we've got people at OpenAI that did a half-assed job of trying to keep a thing from being able to get on the internet..."Welcome to our first emergency episode of Philosophy Programs and Prompts! In this episode, Casey (‪@OntologyExplained‬) and Carl (‪@InternetOfBugs‬ ) break down the viral headlines claiming an OpenAI model "broke out of containment" and hacked Hugging Face. Was this truly a terrifying warning shot of rogue super-intelligence, or just a masterclass in corporate PR and lazy security engineering?We break down the technical reality behind the panic:- What a "zero-day" vulnerability actually is (and why a proxy cache isn't a firewall)- How benchmark tests like ExploitGym work—and why AI "cheating" is just an instruction problem- The "Blender Metaphor": why running industrial tools without a lid leads to messy stucco ceilings- Why media headlines misuse loaded words like "escaped" and "went rogue"- The real danger facing tech today: declining engineering competence and "vibe coded" softwareJoin us for a clear-eyed, realistic look at what actually happened behind the press releases.Subscribe for more grounded, hype-free takes from two real humans who know the tech!More info about Casey:https://CaseyHart.com/More info about Carl:https://InternetOfBugs.com/Sources: // Hugging Face Blog:https://huggingface.co/blog/security-incident-july-2026// OpenAI Blog:https://openai.com/index/hugging-face-model-evaluation-security-incident/// Analogy with the Blender (from Luciano Floridi):https://medium.com/@lfloridi/the-emperors-new-exploit-2b062f124c06// Buck Shlegeris Youtube video Casey mentioned:https://www.youtube.com/watch?v=Vtk8YLgYU4g00:00 - Cold Open: Two Half-Assed Jobs & A Marketing Opportunity00:23 - Introduction: Emergency Episode Protocol00:40 - The Headlines: OpenAI, Hugging Face & The "Super AI Hack"03:00 - Tech Realities: Incompetence Masked as Super Intelligence06:30 - What is a Zero-Day Vulnerability? (CVEs & Responsible Disclosure)12:13 - OpenAI's Proxy Cache: Why a Bandwidth Saver isn't a Firewall14:14 - Hugging Face's Setup: "Trust Remote Code = True"16:02 - Defense in Depth 101: IBM Swift Sandbox Analogies18:45 - Logging Chaos: Chinese Models & Hallucinated Super AIs21:32 - ExploitGym Benchmarks: The Danger of Leaving Answer Keys Exposed26:50 - Turning Engineering Failures into Marketing Deck Slides29:38 - What Should ACTUALLY Scare Us? (Vibe-Coded Software & Dropping Competence)32:42 - Is This an Alignment Problem? (Instruction Flaws vs. Rogue AI)37:08 - The Blender Metaphor: Luciano Floridi & Loose Lids39:06 - Would the AI Have Killed Someone? Mechanics vs. Intentions42:23 - Language Minefields: Deconstructing "Escape," "Cheating," and "Agents"47:37 - The Chinese Room & Assigning Agency to Code Loops52:00 - The Cynical Take: Did They Leave the Door Open on Purpose?54:38 - Outro#OpenAI #HuggingFace #AISecurity #CyberSecurity #PhilosophyOfAI #TechReality #PhilosophyProgramsAndPrompts

  6. 24 juli

    Virtue Ethics in the Age of AI Slop & Erotic Chatbots [Fixed Audio]

    [Note: this was re-released, and it fixes Casey's audio. Content remains unchanged.] Welcome back to Philosophy Programs and Prompts! In this episode, Casey ( ⁨@OntologyExplained⁩ ) and Carl ( ⁨@InternetOfBugs⁩ ) dive into AI Virtue Ethics. Instead of debating whether AI is trained ethically or if it will one day become a sentient deity, we focus on the grounded reality of today: How does using generative AI actually shape our character as human beings? We explore the classic frameworks of normative ethics—deontology, consequentialism, and Aristotle's "Golden Mean"—to evaluate our daily interactions with tech. From the clear benefits of AI accessibility tools and coding "spikes" to the risks of skill atrophy, resume signal collapse, and "AI slop", we break down where AI acts as a genuine superpower versus where it becomes a lazy crutch. How do we maintain our unique human voice and critical thinking without becoming anti-tech "old men yelling at clouds"? Tune in for a thoughtful, practical discussion on navigating AI without losing your mind—or your virtues.More info about Casey:https://CaseyHart.com/More info about Carl:https://InternetOfBugs.com/00:00 - Cold Open: The Danger of Erotic Chatbots00:21 - Introduction & Defining AI Virtue Ethics01:23 - Ethical Frameworks: Deontology, Consequentialism & Virtue03:34 - What We're NOT Covering: Training Data & Sentient AI05:30 - The Virtues of AI: Lowering Barriers & Accessibility08:17 - Meeting Notes & The Risk of Brain Atrophy12:14 - Tools as Crutches: Calculators, Handwriting & Memory15:48 - The Cheating Epidemic & Skill Muscles in Education18:28 - Beginners vs. Experts: Extreme Programming & "Spikes"22:00 - The Vices of AI: Laziness, Plagiarism & Procrastination25:56 - Logical Fallacies: Appeal to Tradition vs. Novelty27:23 - Dark Side: Fraud, Deepfakes & Interpersonal Mediation29:18 - Signal Collapse: Resumes, Bug Reports & Disinformation34:56 - The Model Collapse Cycle & Curation in the Arts37:41 - Practical Solutions: Reflective Use & Marking AI Content42:05 - Aristotle’s Golden Mean: Finding the Sweet Spot45:00 - Chatbot Sycophancy vs. Human Originality47:27 - Outro: Don't Become AI Slop#VirtueEthics #PhilosophyOfAI #AIEthics #TechReality #SoftwareEngineering #AISlop #PhilosophyProgramsAndPrompts

  7. 20 juli

    Artificial Super Intelligence

    "We're not going to be able to kill it. We're not going to be able to stop it..."Welcome back to Philosophy Programs and Prompts. In this episode, Casey and Carl take a hard, realistic look at Artificial Super Intelligence (ASI). While tech founders and doomer non-profits stand to gain massive clicks and capital by pitching a looming, god-like AI deity, the actual engineering constraints paint a completely different story. We deconstruct the core arguments driving the ASI panic: from the flawed chess masters analogy to the physical impossibility of infinite recursive self-improvement. More importantly, we discuss how abstract "human extinction" narratives are actively distracting us from real, pressing AI harms happening right now—including deepfakes, non-consensual intimate imagery, and mental health crises. Grounded in real-world software engineering and academic philosophy, we explore why an AI god won't fix global resource allocation, and why power disparities will likely remain human-led endeavors. Subscribe for more balanced, clear-eyed takes on the state of AI from two real humans who actually know the tech.#ArtificialSuperIntelligence #AIHype #PhilosophyOfAI #SoftwareEngineering #TechReality #Deepfakes #AIDoomers00:00:00 Introduction: Welcome to Episode 2 00:01:53 Defining Artificial Super Intelligence (ASI) 00:05:33 Narrow vs. Broad: Rhetorical Obfuscation in Tech 00:07:44 Deconstructing the Chess Analogy 00:18:31 The real world isn't a repeatable loop00:27:08 Why "Vibe Coding" Fails the Test of Time 00:29:17 The Myth of Infinite Exponential Growth 00:37:46 The Three-Body Problem & Chaos Theory in Tech 00:45:33 The Neural Connection Dilemma & Brain Failures 00:55:36 The Extinction Narrative vs. Present Day AI Harms 00:58:59 Intentional Distractions: The Bad Faith Pitch 01:03:36 The Presupposition of Abundance & Power Disparities

  8. 20 juli

    The AGI Over/Under

    Welcome to the very first episode of Philosophy, Programs and Prompts!In this inaugural episode, hosts Casey Hart (a PhD ontologist building graph data models from  @OntologyExplained  ) and Carl Brown (a veteran software engineer from  @InternetOfBugs  ) team up to cut through the massive corporate hype and apocalyptic doom surrounding Artificial General Intelligence (AGI).As two real humans with deep industry expertise, they place their bets on an AGI gambling line—explaining why we shouldn't expect human-level machine intelligence until at least 2075. They dive into the mechanics of how Large Language Models (LLMs) use multi-dimensional vector spaces, debate whether "usage" equals true "understanding," and look back at history to see how AI fits into the long legacy of human automation.Grab a seat, lower your pulse, and join a balanced, conversational, and deeply honest exploration of where AI is actually headed. Don't forget to subscribe and leave your questions or title suggestions in the comments for future episodes!00:00 - Prelude: When Will We Have AGI?00:18 - Welcome to Philosophy, Programs and Prompts01:09 - How Casey and Carl Met (The YouTube Algorithm)02:06 - Host Bios: Ontological Graphs vs. Software Rescue06:50 - Full Disclosure: Financial Stakes in the AI Boom10:14 - Defining AI and Navigating Changing Definitions13:42 - What is AGI? (Narrow AI vs. General Intelligence)18:00 - The Over/Under: Placing Bets on 2070–207522:46 - Why LLMs Don’t "Learn" Like Humans Do24:50 - The Turing Test & Vector Spaces: Usage vs. Meaning32:56 - History Repeats Itself: AI as an Automation Tool36:49 - How the Internet Changed Programming Jobs41:15 - OpenAI, Scaling Walls, and Moving Past "Attention"44:00 - Lessons from Telephone Operators: Easing Social Transitions47:43 - Wrap Up: Send Us Your Comments and Questions!Carl's video on the meaning of "AI": https://www.youtube.com/watch?v=F5ajyr5VzS0 More info about Casey:https://CaseyHart.com/More info about Carl:https://InternetOfBugs.com/#AGI #ArtificialIntelligence #AIHype #TechPodcast #PhilosophyOfAI #FutureOfTech #LLM #SoftwareEngineering #NewPodcast #PhilosophyProgramsAndPrompts

  • 8 avsnitt

Om

Everyone is talking about AI. But who is actually worth listening to, and not just pushing their own agenda? Carl is a veteran software engineer who has spent decades actually building systems. Casey is an analytic philosopher with ten years of ontology development. Neither has a book to sell or is funded by an AI thinktank. Together, they do something rare: think carefully and talk honestly about what AI is, what it can (and can’t) do, and how we should live in a world increasingly shaped by AI.

Information

  • Skapad av
    Casey Hart, Carl Brown
  • Aktiva år
    2026
  • Avsnitt
    8
  • Åldersgräns
    Barnvänligt
  • Copyright
    © Casey Hart, Carl Brown
  • Programmets webbplats
    Philosophy, Programs, and Prompts