Philosophy, Programs, and Prompts

Casey Hart, Carl Brown
  • 5.0 (3)
  • Technology
  • Updated Weekly

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.

  1. 5d ago

    Pause AI? Should we? If so, how do we make it matter?

    In the wake of high-profile security breaches, frontier lab resignations, and mounting political pressure, the call to "Pause AI" has moved from fringe forums to Capitol Hill. But what does pausing AI actually look like in practice? In this episode of Philosophy Programs and Prompts, Casey Hart( @OntologyExplained ) and Carl Brown( @InternetOfBugs ) break down the tangled definitions, ulterior motives, and policy proposals surrounding the AI pause movement. They explore whether agentic LLMs should be legally classified as malware, interrogate the PR machinery behind AI safety whistleblowers, and evaluate proposals ranging from Dario Amodei’s call to "pace the frontier" to the official PauseAI international treaty framework. Most importantly, they tackle the critical distinction between abstract existential dread and immediate, tangible harms—asking whether regulatory obsession with hypothetical "superintelligence" is blinding lawmakers to the damage happening right now.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/LINKS MENTIONED IN THIS EPISODE:• Jacob Coxon Resignation Thread & Statementshttps://x.com/hilbertspaess/status/2097476196791709843• Pirate Wires Report on AI Safety PR PitchingEXCLUSIVE: Jacob Coxon Worked With Doomer PR Firm ( https://www.piratewires.com/p/jacob-coxon-worked-with-ai-doomer-firm )• Dario Amodei’s Post on Pacing Frontier AI & METRhttps://darioamodei.com/post/we-must-pace-the-frontier• Casar-Sanders Artificial Superintelligence Bill Summaryhttps://www.sanders.senate.gov/wp-content/uploads/Ban-Artificial-Superintelligence-Act-Release-Summary.pdf • PauseAI Official Proposal & Treaty Frameworkhttps://pauseai.info/proposal• Pod Save America Segment on AI Governancehttps://youtu.be/v_BTZ5lcXrw?si=mJ0XCv2FJyegeKO6&t=1055• PauseAI funded by Future of Life Institute https://pauseai.info/funding • Future of Life Institute says “FLI does not accept donations from Big Tech, or from companies seeking to build artificial general intelligence” but took $10M from Elon Musk https://futureoflife.org/about-us/finances/ • Ezra Klein Vid: https://youtu.be/fjZ90V_JREk?si=HeDsnH5QChEZ2Cxu&t=1706• Zitron Video: https://youtu.be/PENnaW9zGYI?si=I8exuzqiLUWFwGHu&t=597• Ed Dowd piece: https://eddowdbeyondthenarrative.substack.com/p/the-post-labor-day-ai-panic-psyop • Podcast about how (at least some) hacking statutes require “intent”: https://www.youtube.com/watch?v=EQUBMpg1aY4&t=1669s • The U.S. is already using AI in warfare:https://www.washingtonpost.com/technology/2026/03/04/anthropic-ai-iran-campaign/ • Andre Miotti of Control AI on Sky News:https://www.youtube.com/watch?v=odSvjKMRn-I 00:00 - Cold Open: The Super AI Trap00:33 - Slowing Down & The AI Doomer Explosion01:42 - What Does "Pause AI" Actually Mean?03:45 - Is AI a "Normal Technology"?05:07 - AI as Malware: Agentic Intent vs. Real Outcomes12:10 - The Jacob Coxon Resignation & Safety PR15:45 - Follow the Money: Who Funds the AI Doom Movement?23:15 - Dario Amodei, METR, and "Pacing the Frontier"25:06 - Geopolitics and the "China Boogeyman"29:05 - Media Hype and the Failure to Cite Sources32:46 - OpenAI's Security Response & The Incompetence Problem36:47 - Defining the Target: Current LLMs vs. Superintelligence41:21 - The Casar-Sanders Bill & Political Definitions46:22 - Military AI Targeting and Anthropic's Pushback52:05 - Deconstructing the PauseAI Treaty Proposal58:43 - An IAEA for AI vs. Regulating Social Media01:11:14 - Regulatory Capture and Big Tech Moats01:18:00 - The Case for a Pause: Prioritizing Real Harms01:25:30 - Economic Fallout, Force Majeure, and the AI Bubble01:29:30 - Why Corporate Incompetence Trumps Deception01:35:00 - Soundbite Verdicts: Should We Pause AI?01:39:38 - Outro#AISafety #PauseAI #ArtificialIntelligence #TechPolicy #OpenAI #Anthropic #aigovernance

  2. Sep 24

    Debunking AI Doom: Why Existential Risk Arguments Fall Apart | Ep 12

    Is artificial intelligence really on track to wipe out humanity by 2050, or are the most prominent doom arguments fundamentally flawed? In this episode of Philosophy Programs and Prompts, Casey Hart( @OntologyExplained ) and Carl Brown( @InternetOfBugs ) break down the core premises behind AI existential risk (x-risk). From Bostrom-style superintelligence scenarios and recursive self-improvement (RSI) to "hockey stick" benchmark progress and the appeal to expert anxiety, Casey and Carl analyze where the logic holds up—and where it jumps the rails. More importantly, they discuss why hyper-focusing on apocalyptic sci-fi scenarios distracts the public and regulators from the very real, immediate harms AI systems are causing right now: cyber vulnerabilities, military reliance on hallucinated outputs, non-consensual deepfakes, and corporate regulatory capture. 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 Highlights:• Defining "Doom" and evaluating p(doom) numbers from a Bayesian perspective• The Core Doom Argument: Does superior intelligence guarantee global domination?• Demystifying Recursive Self-Improvement (RSI): Lines of code vs. real-world breakthroughs• Shifting focus from hypothetical extinction to tangible, current AI damages// References and Resources: // Casey’s appearance on Doom Debates https://www.youtube.com/watch?v=oxHKesSpqBM //AI Almost Started a War with China https://militarywatchmagazine.com/article/ai-us-intelligence-war-china-nuclear // Apple Research Paper on Reasoning Fragility & Contamination https://arstechnica.com/ai/2025/06/new-apple-study-challenges-whether-ai-models-truly-reason-through-problems/ https://machinelearning.apple.com/research/illusion-of-thinking // Bill Gates says Spam will be gone by 2006 https://www.nytimes.com/2004/01/26/IHT-gates-sees-end-to-spam-in-2-years.html // Ships can't be hacked and driven into things: https://www.youtube.com/watch?v=5kkP-3d_8ac // Anthropic Essay conflating "Recursive Self-Improvement" with "8x more lines of code" https://www.anthropic.com/institute/recursive-self-improvement// Ties between AI Doomers, Rationalists and AI Employees https://x.com/kevinnbass/status/2099621874279817638 00:00 - Real AI Harms vs. Extinction Hysteria00:40 - Casey Hart & Carl Brown: "Prominent X-Risk Denialist"03:04 - Deconstructing the Doom Debate04:47 - Setting the Terms: What Does "Doom" Actually Mean?07:18 - Bayesian Thinking & The Base Rate Fallacy12:06 - Where Do p(doom) Percentages Come From?15:01 - The Core Doom Argument Broken Down20:47 - Premise 1: Is Intelligence Sufficient for Domination?22:36 - Did AI "Almost Start a War"? Misleading Headlines26:06 - Hanlon's Razor & Intentionality in LLMs29:25 - Premise 2: Limits to Superhuman Intelligence34:07 - Premises 3–5: Desires, Alignment, and Losing a Conflict49:33 - The Math of Multiplying Uncertain Premises53:31 - The Argument from Exponential Progress57:46 - Reasoning Models, Wrappers, and Stacking Advances59:40 - Benchmark Contamination & Overstated Gains01:04:03 - Real-World Coding Regressions (Fighting with Models)01:08:56 - Appeal to Expert Anxiety & Regulatory Moats01:16:07 - Assessing Authority vs. Vested Commercial Interests01:22:45 - The Argument from Unpreparedness & Cybersecurity Debt01:29:13 - The "Big Impacts" Fallacy & Infinite Disutility01:34:42 - What Does Recursive Self-Improvement (RSI) Actually Mean?01:41:08 - Anthropic's RSI Evidence: Checking in Lines of Code01:46:00 - Asymptotes, Data Bottlenecks, and Real-World Friction01:53:34 - Why Focusing on Fiction Harms Real-World Victims01:55:25 - Closing Thoughts: Stay Calm and Focus on Real Problems#ArtificialIntelligence #AISafety #TechPodcast #Philosophy #XRisk #MachineLearning #ExistentialRisk #AIEthics

  3. Sep 18

    Doom Debate Prep | Ep 11

    In this episode, Casey( @OntologyExplained ) and Carl( @InternetOfBugs ) prep for Casey's upcoming debate on ( @DoomDebates ) with Liron Shapira. They dive into what "P-Doom" actually means, break down the feasibility of recursive self-improvement (RSI), and evaluate whether recent breakthroughs—like AI-assisted Lean proofs for Navier–Stokes—actually point toward artificial superintelligence or just sophisticated, narrow mixtures of experts. Along the way, they analyze the incentives driving public AI panic, the rhetorical tactics of the rationalist community, and why focusing on speculative existential risk often distracts from tangible, real-world AI harms.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/// References and Resources:// Ed Dows explaining the recent high-profile Anthropic resignation as a PsyOphttps://eddowdbeyondthenarrative.substack.com/p/the-post-labor-day-ai-panic-psyopWatch chatbbots attempt to play chess in hilarious ways  @GothamChess  ( https://www.youtube.com/playlist?list=PLBRObSmbZluQwBIvxyiWfm_b495AnpzDn )// Mac app Carl mentioned that lets Gemma 4 26B run in 2GN of RAM by only loading the "expert" that's needed at the moment: https://github.com/drumih/turbo-fieldfare/More on decomposing LLMs at  @chrishayuk  // On the Apple Paper about how chatbots fail problems that look similar to but aren't benchmark problems because they follow the wrong patternshttps://arstechnica.com/ai/2024/10/llms-cant-perform-genuine-logical-reasoning-apple-researchers-suggest/https://arxiv.org/pdf/2410.0522900:00:00 - Cold Open: The Moron or Masochist Rule00:00:11 - Intro: Preserving Sanity Amid AI Hype00:00:46 - Prepping for Doom Debates with Liron Shapira00:03:09 - The Value (and Trap) of Public Debates00:07:37 - What Exactly is P-Doom? Defining the Stakes00:11:45 - Knowing the Audience: Preaching to the Converted vs. the 1%00:15:38 - Finding the Common Ground (and the Common Enemy)00:21:40 - Deconstructing *If Anyone Builds It, Everyone Dies*00:26:22 - The 2050 Extinction Baseline00:29:44 - Recursive Self-Improvement: Hype vs. Reality00:33:41 - AI Takeover vs. Bad Actors with Powerful Tools00:41:43 - The Bayesian Argument Against Doom00:44:13 - A Bug-Centered Epistemology00:47:50 - The Economic Engine: Capital, IPOs, and Regulatory Capture00:52:03 - True Believers and Singularity Evangelists00:56:01 - Manufactured Hype and Coordinated Resignations01:00:00 - Critique of Rationalist Culture and Intelligence Fetishization01:01:43 - The Orthogonality Thesis: Wants vs. Intelligence01:02:40 - Navier–Stokes, Lean Prover, and Mixture of Experts01:03:40 - Goodhart’s Law, P-Hacking, and Jagged Intelligence01:04:46 - Extraordinary Claims Require Extraordinary Evidence01:05:15 - Post-Show: Podcasting Logistics and Editing Legos#AIDoom #ArtificialIntelligence #AISafety #TechDebate #MachineLearning #PhilosophyProgramsAndPrompts #DoomDebates

  4. Sep 11

    Problem With The Alignment Problem | Ep 10

    Is the "AI alignment problem" genuinely the existential challenge of our time, or has it become an intellectual buffer designed to deflect corporate responsibility? In this episode of Philosophy Programs and Prompts, Casey Hart( @OntologyExplained ) and Carl Brown( @InternetOfBugs ) break down how alignment discourse often muddies AI debates rather than clarifying them. From thought experiments like the paperclip maximizer and the monkey’s paw to recent controversies like model sycophancy, the Hugging Face incident, and corporate data centers, they explore how vague definitions, anthropomorphism, and doomer abstraction distract the public from immediate, real-world harms.00:00 - Intro & Socrates the Gadfly00:24 - Defining the AI Alignment Problem05:18 - Chess Bots, Monkey's Paws, and Paperclip Maximizers10:29 - The Fallacy of Aligning with "Humanity"16:28 - Adversarial Alignment and Corporate Realities25:56 - Problem 1: Vague and Ever-Shifting Definitions34:48 - Recursive Alignment, Benchmark Metrics, and Sycophancy38:20 - Problem 2: Absolving Corporate and Human Responsibility40:35 - The Hugging Face Sandbox Breach Narrative48:00 - Problem 3: Abstracting Away Real, Immediate Harms53:30 - Problem 4: Anthropomorphism and Consciousness Assumptions56:06 - Jordan Peterson and the "Raising Children" Metaphor01:01:25 - Problem 5: Armchair Evolutionary Just-So Stories01:07:50 - Media Clickbait, Hype, and "Gain of Function"01:12:35 - Problem 6: The "Cure for Cancer" Fallacy of AI Safety01:17:35 - Problem 7: Obscuring Public vs. Corporate Conflicts01:24:10 - The Core Rule: Always Ask "Aligned with Whom, and on What?"01:28:00 - Final Thoughts & Outro// Resources// Article about the paperclip maximizer that came from Nick Bostrom's 2003 paper "Ethical Issues in Advanced Artificial Intelligence"https://www.huffpost.com/entry/artificial-intelligence-oxford_n_5689858// definitionhttps://spectrum.ieee.org/ai-alignment// Book referencedIf Anyone Builds It, Everyone Dies. -Yudkowsky and Soares// Dr. Roman Yampolskiy, https://www.youtube.com/watch?v=FS_hLDTDI1w&t=330s// Anthropic Gang: https://youtu.be/IPmt8b-qLgk?si=DklBq9GNIVB4tBOA // Motti from Control,AI on Sky News(1): https://www.instagram.com/reel/DTxt8oqDysU/(2): https://www.youtube.com/watch?v=odSvjKMRn-I // Soares’ Pontification: https://youtu.be/TfgrWN5iufA?si=3vnyTe0byQJXF53q // Peterson Short: https://youtube.com/shorts/K5IUcbTecBY?si=Opr3RxziUjVPNese #AIAlignment #AIEthics #Philosophy #ArtificialIntelligence #TechAccountability #Podcast #PhilosophyProgramsAndPrompts

  5. Sep 4

    Chinese Room | Does AI Understand? Do LLMs?

    Can a computer truly understand language, or is it merely following rules and manipulating symbols without meaning? In this episode of Philosophy Programs and Prompts, Casey Hart( @OntologyExplained ) and Carl Brown( @InternetOfBugs ) dive deep into John Searle’s 1980 seminal paper introducing the Chinese Room thought experiment.They explore the distinction between Strong and Weak AI, break down the critical difference between syntax and semantics, and discuss whether modern Large Language Models (LLMs) are solving the understanding problem or just running a complex version of symbol retrieval. Along the way, they evaluate major objections to Searle—such as the Systems Reply and the Robot Reply—while examining real-world implications regarding AI agency, simulation vs. reality, and culpability.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/// References and Resources:// The BBC Explainer about the Chinese Room:https://www.youtube.com/watch?v=D0MD4sRHj1M//  @albertatech  video on AI Code inside Google:https://www.youtube.com/watch?v=PbsocBPkoUc// Reprint of Searle's original Chinese Room Paperhttps://rintintin.colorado.edu/~vancecd/phil201/Searle.pdf// Searle's follow up book:https://books.google.com/books/about/Intentionality.html?id=nAYGcftgT20C 00:00 - Introduction & Information Hazards00:45 - Introducing Searle's Chinese Room04:40 - Background on John Searle05:45 - Strong AI vs. Weak AI Defined09:10 - Hamburgers, Car Washes, and Contextual Understanding13:52 - Syntax vs. Semantics & Intentionality17:01 - Reading the Chinese Room Thought Experiment24:20 - Does the Person in the Room Understand?31:10 - Defining Understanding & Explanation39:12 - Substrates: Human Brains vs. Silicon Hardware46:42 - Anthropomorphic Language in Programming51:07 - Objection 1: The Systems Reply58:34 - LLMs as Advanced Search & Pattern Matching01:02:03 - Objection 2: The Robot Reply & Modalities01:07:44 - The Turing Test, AI Agency & Culpability01:14:45 - Simulation vs. Reality (Why Rainstorm Sims Don't Get Wet)01:20:08 - Dualism, Emergence, and the Horseshoe Theory of AI01:29:07 - Critique of the Name "The Chinese Room" & Sign-off#PhilosophyOfMind #ArtificialIntelligence #ChineseRoom #AIUnderstanding #PhilosophyPodcast #LLM #MachineLearning #TechPhilosophy

  6. Aug 29

    Coders Quitting AI? AI Slop PhDs?

    In this episode of Philosophy, Programs, and Prompts, Casey Hart ( @OntologyExplained ) and Carl Brown( @InternetOfBugs ) break down the growing backlash against AI in software development. Prompted by a viral testimonial from YouTuber "Brett Codes" ( @brettcodes ) about quitting AI entirely, they analyze the core arguments against generative tools: environmental impacts, developer apathy, lost craft, and codebase bloat. Drawing on Carl’s 35-year engineering career, they compare today's AI panic to the historical shifts toward compilers and package managers, exploring what it really means to adapt, maintain code quality, and stay relevant in an evolving tech landscape. 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:// Brett's Videos we reference in this video:https://www.youtube.com/watch?v=2ZU3j4GQ4K8https://www.youtube.com/watch?v=P6FZKrE-Hfo// The ELIZA effecthttps://www.theguardian.com/technology/2023/jul/25/joseph-weizenbaum-inventor-eliza-chatbot-turned-against-artificial-intelligence-ai// Mike Israetel dissertation breakdownhttps://www.youtube.com/watch?v=elLI9PRn1gQ// Mike Israetel book declared AI slophttps://www.youtube.com/watch?v=0dFugf0ySnc00:00 - Introduction & The AI Backlash Trend03:17 - Deconstructing "Brett Codes" & Quitting AI07:50 - The 4 Core Arguments Against AI09:30 - Medical Self-Diagnosis & AI Psychological Impact18:38 - Environmental Concerns: Water & Energy Use28:16 - Individual Action vs. Systemic Reform34:22 - Is AI Making Developers Worse at Coding?37:30 - Shifting Abstractions: From Assembler to AI44:10 - Developer Apathy & The Lost Craft of Coding48:22 - Business Impacts: Code Bloat & Quality Control56:56 - Systemic Fragility: What if AI Goes Away?01:03:15 - Existential Dread & The Portrait Painter Analogy01:11:44 - Slop Fatigue & The Real Developer Backlash01:16:00 - Final Thoughts & Takeaways#SoftwareEngineering #AICoding #Coding #WebDev #ArtificialIntelligence #TechPodcast #DeveloperLife #TechDebate

  7. Aug 20

    Computer Minds, Mike Levin & Panpsychism

    In this episode of Philosophy, Programs, and Prompts, Casey Hart ( @OntologyExplained ) and Carl Brown( @InternetOfBugs ) dive deep into biologist Michael Levin’s provocative claims about cognition in basic computer algorithms. Does a distributed bubble sort display "delayed gratification" or proto-cognitive desires? Or are these emergent properties simply artifacts of velocity differences, ill-defined terms, and after-the-fact p-hacking?Casey and Carl break down the computer science, philosophical frameworks (substrate independence, Platonic spaces, and supervenience), and the importance of rigorous, falsifiable hypothesis testing when crossing disciplinary boundaries.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:// Lex Fridman Clip: https://youtu.be/jr1sNYY2t9A// Curt Jaimungal Video: https://youtu.be/_kuwwmFnxGY// The Secret Life of Algorithmshttps://www.forbes.com/sites/andreamorris/2025/11/13/the-secret-life-of-algorithms/ // BBC Youtube video on Chinese Roomhttps://www.youtube.com/watch?v=D0MD4sRHj1M//Thomas Kuhn on the History of Sciencehttps://plato.stanford.edu/entries/thomas-kuhn/00:00 - Introduction & The Delayed Gratification Claim01:00 - Meeting Dr. Michael Levin’s Bio & Ideas06:16 - Philosophical Foundations: Substrate Independence09:09 - The Scientific Method & Open Hypotheses10:50 - Platonism and Mathematical Realms14:42 - Levels of Selection and Supervenience19:39 - How Bubble Sort Works (Top-Down vs. Distributed)27:26 - Asynchronous Systems & The "6 Lines of Code" Myth34:23 - The Frozen Element: Delayed Gratification or Gradient Descent?43:20 - Multi-Algorithm Sorting & "Algotype" Clustering47:18 - Emergent Desires vs. Velocity & Algorithmic Artifacts59:50 - The Note Card Thought Experiment & The Chinese Room01:06:03 - Repeated Digits & Final Clustered States01:12:24 - Evaluating Levin’s Conclusion on Proto-Cognitive Systems01:20:38 - The "Free Compute" & Platonic Space Dilemma01:28:40 - Panpsychism, Coffee Cups, and Diluting the Meaning of Mind01:34:47 - Interdisciplinary Claims, Semantics, and Equivocation01:42:12 - Wrap Up#Philosophy #ComputerScience #MichaelLevin #Algorithms #Panpsychism #AIPhilosophy #Coding #Podcast

  8. Aug 15

    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

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5
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3 Ratings

About

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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