Podcast appearances and mentions of John Searle

Robert Wright joins Michael Shermer to discuss his new book, The God Test: Artificial Intelligence and Our Coming Cosmic Reckoning, and why he thinks the AI revolution may be moving much faster than most people realize. Wright argues that deep learning is not just a new way of programming computers. In an important sense, it resembles evolution: neural networks discover solutions for themselves, sometimes recreating cognitive functions that natural selection built into human brains. That helps explain why AI capabilities have advanced so quickly, and why increasingly autonomous systems and recursive self-improvement could accelerate the process even further. Shermer presses Wright on what all of this actually means. Does an AI understand what it says? Could it be conscious? Why would a superintelligence ever seek power? Is human extinction a realistic possibility, or science-fiction doomerism? They discuss AI deception and theory of mind, John Searle's Chinese Room, bioweapons and cyberattacks, the risk of a U.S.-China AI arms race, regulation, surveillance, and the growing concentration of power in governments and tech companies. The conversation ends with Wright's larger philosophical question: if humanity really is building something with godlike power, what kind of god are we going to build, and are we mature enough to survive it? Robert Wright is the New York Times bestselling author of The Evolution of God (a finalist for the Pulitzer Prize), Nonzero, The Moral Animal, and Three Scientists and their Gods (a finalist for the National Book Critics Circle Award). He has taught at the University of Pennsylvania and at Princeton University, where he also created the popular online course "Buddhism and Modern Psychology." He is currently Visiting Professor of Science and Religion at Union Theological Seminary in New York. 

This lecture discusses key ideas John Searle's article "Minds, Brains, & Programs", first published in The Behavioral And Brain Sciences In 1980, considered to be an important contribution to theorizing about the possibility and nature of artificial intelligence, not least by introducing his famous "Chinese Room" thought experiment. Specifically it examines his discussion near the end of his initial contribution, which sets out his speculations about why people think that computers running programs can actually think or understand, when according to him they cannot. To support my ongoing work, go to my Patreon site - www.patreon.com/sadler If you'd like to make a direct contribution, you can do so here - www.paypal.me/ReasonIO - or at BuyMeACoffee - www.buymeacoffee.com/A4quYdWoM You can find over 4500 philosophy videos in my main YouTube channel - www.youtube.com/user/gbisadler Get John Searle, Minds, Brains, & Programs here - https://home.csulb.edu/~cwallis/382/readings/482/searle.minds.brains.programs.bbs.1980.pdf

This lecture discusses key ideas John Searle's article "Minds, Brains, & Programs", first published in The Behavioral And Brain Sciences In 1980, considered to be an important contribution to theorizing about the possibility and nature of artificial intelligence, not least by introducing his famous "Chinese Room" thought experiment. Specifically it examines his discussion bearing on whether digital computers running programs are able to think, understand, and so on solely in virtue of being a computer with the right sort of program, which Searle answers in the negative. To support my ongoing work, go to my Patreon site - www.patreon.com/sadler If you'd like to make a direct contribution, you can do so here - www.paypal.me/ReasonIO - or at BuyMeACoffee - www.buymeacoffee.com/A4quYdWoM You can find over 4500 philosophy videos in my main YouTube channel - www.youtube.com/user/gbisadler Get John Searle, Minds, Brains, & Programs here - https://home.csulb.edu/~cwallis/382/readings/482/searle.minds.brains.programs.bbs.1980.pdf

This lecture discusses key ideas John Searle's article "Minds, Brains, & Programs", first published in The Behavioral And Brain Sciences In 1980, considered to be an important contribution to theorizing about the possibility and nature of artificial intelligence, not least by introducing his famous "Chinese Room" thought experiment. Specifically it examines Searle's responses to a number of different replies variously defending the claims that Strong AI could understand stories. These include: the robot reply, the brain simulator reply, the combination reply, the other minds reply, and the many mansions reply. To support my ongoing work, go to my Patreon site - www.patreon.com/sadler If you'd like to make a direct contribution, you can do so here - www.paypal.me/ReasonIO - or at BuyMeACoffee - www.buymeacoffee.com/A4quYdWoM You can find over 4500 philosophy videos in my main YouTube channel - www.youtube.com/user/gbisadler Get John Searle, Minds, Brains, & Programs here - https://home.csulb.edu/~cwallis/382/readings/482/searle.minds.brains.programs.bbs.1980.pdf

This lecture discusses key ideas John Searle's article "Minds, Brains, & Programs", first published in The Behavioral And Brain Sciences In 1980, considered to be an important contribution to theorizing about the possibility and nature of artificial intelligence, not least by introducing his famous "Chinese Room" thought experiment. Specifically it examines his response to one of the replies made by proponents of strong AI claims, which he calls the "systems reply', and which he considers to be rather implausible. To support my ongoing work, go to my Patreon site - www.patreon.com/sadler If you'd like to make a direct contribution, you can do so here - www.paypal.me/ReasonIO - or at BuyMeACoffee - www.buymeacoffee.com/A4quYdWoM You can find over 4500 philosophy videos in my main YouTube channel - www.youtube.com/user/gbisadler Get John Searle, Minds, Brains, & Programs here - https://home.csulb.edu/~cwallis/382/readings/482/searle.minds.brains.programs.bbs.1980.pdf

Resources: [1] NOTUS (which obtained the draft); Fortune; GMO. "Treasury Has an Internal Report Warning About the Dangers of an AI Bubble." https://www.notus.org/economy/treasury-internal-report-warning-dangers-ai-bubble Accessed 2026-07-10. [2] Oliver Wyman. "How An AI Bubble Burst Could Shake Global Financial Markets." https://www.oliverwyman.com/our-expertise/insights/2026/jan/impact-ai-bubble-burst-on-global-financial-markets.html Accessed 2026-07-10. [3] CNBC. "Musk's xAI, SpaceX combo is the biggest merger of all time." https://www.cnbc.com/2026/02/03/musk-xai-spacex-biggest-merger-ever.html Accessed 2026-07-10. [4] Forbes. "SpaceX IPO Is Forcing Changes To Index And Underwriting Rules." https://www.forbes.com/sites/garthfriesen/2026/04/25/spacex-ipo-is-forcing-changes-to-index-and-underwriting-rules/ Accessed 2026-07-10. [5] Public Order Emergency Commission (Justice Paul Rouleau). "Public Order Emergency Commission Report; Federal Court ruling." https://www.cbc.ca/news/politics/convoy-protest-emergencies-act-appeal-9.7046769 Accessed 2026-07-10. [6] Eurasian Times. "96 Drones, One Operator: China Demonstrates Massive Drone AI Swarm." https://www.eurasiantimes.com/96-drones-one-operator-china-demonstrates-massive-drone-ai-swarm-in-precision-strike-test/ Accessed 2026-07-10. [7] Britannica. "Luddite (Industrial Revolution, Machine-Breaking)." https://www.britannica.com/event/Luddite Accessed 2026-07-10. [8] Britannica. "Haymarket Affair." https://www.britannica.com/event/Haymarket-Affair Accessed 2026-07-10. [9] MIT Media Lab (Kosmyna et al.). "Your Brain on ChatGPT: Accumulation of Cognitive Debt." https://www.media.mit.edu/publications/your-brain-on-chatgpt/ Accessed 2026-07-10. [10] AI Business Weekly / SemiAnalysis. "Claude Code Statistics 2026." https://aibusinessweekly.net/p/claude-code-statistics Accessed 2026-07-10. [11] American Psychological Association. "AI chatbots and digital companions are reshaping emotional connection." https://www.apa.org/monitor/2026/01-02/trends-digital-ai-relationships-emotional-connection Accessed 2026-07-10. [12] ProMarket (Stigler Center). "Your 401(k) Is Propping Up the AI Bubble." https://www.promarket.org/2026/05/05/your-401k-is-propping-up-the-ai-bubble/ Accessed 2026-07-10. [13] The American Prospect. "Elon Musk Is About to Make Saving for Retirement Even Harder." https://prospect.org/2026/06/10/elon-musk-spacex-ipo-retirement-savings-index-funds-stock-market/ Accessed 2026-07-10. [14] TechCrunch. "xAI burned $6.4B last year; SpaceX's IPO filing shows the spending is far from over." https://techcrunch.com/2026/05/20/xai-burned-6-4b-last-year-spacexs-ipo-filing-shows-why-the-spending-is-far-from-over/ Accessed 2026-07-11. [15] CCTV News via Global Times. "Atlas drone-swarm system opens the launcher and deploys drones." https://www.globaltimes.cn/Portals/0/attachment/2026/2026-03-25/82ca82dc-c249-4647-9f19-e6bfa1c91b34.jpeg Accessed 2026-07-11. [16] Pieter Bruegel the Elder. "The Tower of Babel (1563)." https://commons.wikimedia.org/wiki/File:Pieter_Bruegel_the_Elder_-_The_Tower_of_Babel_(Vienna)_-_Google_Art_Project_-_edited.jpg Accessed 2026-07-11. [17] Michelangelo. "The Prophet Daniel (Sistine Chapel ceiling, c.1511)." https://commons.wikimedia.org/wiki/Category:Sistine_Chapel_ceiling_-_Daniel Accessed 2026-07-11. [18] William Blake. "The Number of the Beast is 666 (c.1805)." https://commons.wikimedia.org/wiki/File:The_number_of_the_beast_is_666_Philadelphia,_Rosenbach_Museum_and_Library.jpg Accessed 2026-07-11. [19] Carlo Crivelli. "Saint Thomas Aquinas (1476)." https://commons.wikimedia.org/wiki/File:St-thomas-aquinas.jpg Accessed 2026-07-11. [20] Michael Shermer. "Michael Shermer (portrait)." https://commons.wikimedia.org/wiki/File:Michael_Shermer_wiki_portrait2.jpg Accessed 2026-07-11. [21] Sam Harris. "Sam Harris (Waking Up, cropped head photograph)." https://commons.wikimedia.org/wiki/File:Sam_Harris_-_Waking_Up_-_cropped_head_photograph.jpg Accessed 2026-07-11. [22] John Searle. "John Searle (portrait)." https://commons.wikimedia.org/wiki/File:John_searle2.jpg Accessed 2026-07-11. [23] John Lennox. "John Lennox (portrait)." https://commons.wikimedia.org/wiki/File:John_Lennox.jpg Accessed 2026-07-11. [24] Thure de Thulstrup. "The Haymarket Riot (Harper's Weekly, 1886)." https://commons.wikimedia.org/wiki/File:HaymarketRiot-Harpers.jpg Accessed 2026-07-11.

This lecture discusses key ideas John Searle's article "Minds, Brains, & Programs", first published in The Behavioral And Brain Sciences In 1980, considered to be an important contribution to theorizing about the possibility and nature of artificial intelligence, not least by introducing his famous "Chinese Room" thought experiment. Specifically it examines the clarifications about the notion of "understanding" Searle thinks are needed to make at that point in the article, given that strong AI claims are made about a computer being able to "understand" stories. To support my ongoing work, go to my Patreon site - www.patreon.com/sadler If you'd like to make a direct contribution, you can do so here - www.paypal.me/ReasonIO - or at BuyMeACoffee - www.buymeacoffee.com/A4quYdWoM You can find over 4500 philosophy videos in my main YouTube channel - www.youtube.com/user/gbisadler Get John Searle, Minds, Brains, & Programs here - https://home.csulb.edu/~cwallis/382/readings/482/searle.minds.brains.programs.bbs.1980.pdf

This lecture discusses key ideas John Searle's article "Minds, Brains, & Programs", first published in The Behavioral And Brain Sciences In 1980, considered to be an important contribution to theorizing about the possibility and nature of artificial intelligence, not least by introducing his famous "Chinese Room" thought experiment. Specifically it examines the actual framing of the "Chinese room" as Searle sets it out, and the conclusions that he draws for it about strong AI claims that digital computers can "understand". To support my ongoing work, go to my Patreon site - www.patreon.com/sadler If you'd like to make a direct contribution, you can do so here - www.paypal.me/ReasonIO - or at BuyMeACoffee - www.buymeacoffee.com/A4quYdWoM You can find over 4500 philosophy videos in my main YouTube channel - www.youtube.com/user/gbisadler Get John Searle, Minds, Brains, & Programs here - https://home.csulb.edu/~cwallis/382/readings/482/searle.minds.brains.programs.bbs.1980.pdf

This lecture discusses key ideas John Searle's article "Minds, Brains, & Programs", first published in The Behavioral And Brain Sciences In 1980, considered to be an important contribution to theorizing about the possibility and nature of artificial intelligence, not least by introducing his famous "Chinese Room" thought experiment. Specifically it examines the distinction he makes between weak and strong claims about AI, and then on clarifying the claims made by proponents of strong AI models of various sorts, particularly about properly programmed digital computers being able to "understand" stories and satisfactorily answer questions about them. To support my ongoing work, go to my Patreon site - www.patreon.com/sadler If you'd like to make a direct contribution, you can do so here - www.paypal.me/ReasonIO - or at BuyMeACoffee - www.buymeacoffee.com/A4quYdWoM You can find over 4500 philosophy videos in my main YouTube channel - www.youtube.com/user/gbisadler Get John Searle, Minds, Brains, & Programs here - https://home.csulb.edu/~cwallis/382/readings/482/searle.minds.brains.programs.bbs.1980.pdf

Un avvocato prova a “ipnotizzare” l'LLM del tribunale infilando istruzioni invisibili (bianco su bianco) dentro un atto: quando il giudice chiede un riassunto, il modello esegue anche i comandi nascosti e produce un'analisi distorta. Qui non c'è magia: è prompt injection applicata a un contesto ad altissimo impatto, dove un riassunto sbagliato può influenzare decisioni, tempi e responsabilità.Il punto chiave è strutturale: per molti modelli linguistici tutto ciò che entra nel contesto è testo “allo stesso livello”, quindi contenuto e istruzioni diventano indistinguibili. È la versione operativa del problema descritto dall'esperimento della “stanza cinese” di John Searle: manipolazione di simboli senza comprensione semantica e senza un confine affidabile tra “documento” e “comando”. Per questo la prompt injection non è solo un bug: è un pattern che riappare in PDF, email, browser, strumenti di sviluppo e workflow aziendali.La conseguenza pratica è una nuova superficie d'attacco: non vieni colpito tu, viene colpito l'assistente che legge al posto tuo. Se l'abitudine diventa “non leggo l'originale, leggo il riassunto”, allora ogni catena documentale si porta dietro un terzo attore non autorizzato: ciò che il file sussurra al modello mentre tu guardi altrove.00:00 Il trucco bianco su bianco01:20 Cos'è la prompt injection02:08 Il caso in tribunale04:10 Dalla scuola ai paper06:10 Email, IDE, browser, Slack09:12 Perché non si risolve09:45 Searle e stanza cinese14:43 Regola: AI come stagista#PromptInjection #StanzaCinese #LLMSecurity

This is a free preview of a paid episode. To hear more, visit andrewsullivan.substack.comBob is a journalist and the author of many books, including The Moral Animal, Nonzero, The Evolution of God, and Why Buddhism Is True. He's written for countless magazines, including The New Republic, where he co-wrote the TRB column with Mickey Kaus. They also co-founded Bloggingheads TV, and Bob taught in the psych department at Penn and the religion department at Princeton. Today you can find him on Substack at the NonZero Newsletter, and his new book is The God Test: Artificial Intelligence and Our Coming Cosmic Reckoning.For two clips of the episode — how AI flatters its users, and the rapidly converging threats from AI — head to our YouTube page.Other topics: Bob's reporting on AI in the early 1980s; Geoffrey Hinton — “the godfather of AI” — warning us about AI; “doomer-in-chief” Eliezer Yudkowsky; Bob's own evolution on AI; the Tree of Knowledge; how AI is a more challenging global issue than nukes; the need for international regulation; the noosphere, our “global brain” — and its author, the visionary Christian, Teilhard de Chardin; neural networks; ChatGPT; Musk and self-driving cars; BF Skinner; philosopher John Searle; olfactory AI; virtual reality; AI designing drugs to induce spirituality; Anthropic's Dario Amodei; Sam Altman calling Trump an NPC; AI stoking conspiracies; Leo's encyclical; cognitive empathy; the Iran War; China vs Taiwan; kids befriending AI agents; Hal in 2001; the movie Her; silicon neurons that evolve; AI threatening the human need to be needed; job losses; scams; electoral risks; populism and tribalism; how is AI a continuation of human evolution; and the many positive potentials of AI.Browse the Dishcast archive for an episode you might enjoy. Coming up: John Gray on Trump's new world, Stephen Grosz on the struggles of love, David Thomson on cinema history, John O'Sullivan on conservatism, Robby George on all our disagreements, and Megan McArdle on pretty much anything. Please send any guest recs, dissents, and other comments to dish@andrewsullivan.com.

Immaginate di essere chiusi in una stanza e da sotto la porta vi arrivano dei foglietti pieni di simboli sconosciuti; nella stanza, però, c'è un manuale che vi dice esattamente cosa fare. Questo è un esperimento elaborato nel 1980 da un filosofo americano, John Searle: la stanza è una metafora dei computer, dell'intelligenza artificiale, degli algoritmi di Wall Street e di tutto ciò che governa la nostra vita senza che nessuno capisca davvero cosa sta succedendo. Stiamo costruendo non solo un'economia globale, ma un sistema dove gli esseri umani pensano sempre più di essere circondati da intelligenza e sono invece circondati da stanze cinesi di scala industriale. Cosa succede ad una civiltà che esternalizza non solo la sintassi ma inesorabilmente, e inconsapevolmente, anche la semantica? Scopri i corsi della New Media Academy, la scuola di podcasting e digital journalism di Chora e Will: https://newmediacademy.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices

Le débat philosophique sur l'intelligence artificielle n'est pas seulement une enquête sur les limites de la machine, sur ce qui la différencie de l'humain. Mais peut-être bien l'enquête ultime sur ce qui définit un être humain. L'humain a-t-il une âme immatérielle — ou bien n'est-il qu'une machine consciente ? Une telle question nous oblige à repenser notre propre condition.➔ Regardez la version vidéo de cet épisode : https://youtu.be/kw17fGL-Xdc➔ Rejoignez-moi sur Patreon : https://www.patreon.com/ParoledephilosopheMembre du Label Tout Savoir. Régies publicitaires : PodK et Ketil Media._____________Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

In this episode, we discuss the life and work of John Searle, visiting his philosophies of mind, language, and society from a critical context.

What's the point of going to college? There used to be an obvious answer to this: to acquire the knowledge to get a better job. But in our AI age, when smart machines are already challenging many white collar professions, the point of college is increasingly coming into question—especially given its time and financial commitment. According to Caroline Levander, author of the upcoming InventEd, the American ‘tradition of innovation' can transform college today. Levander, who serves as Vice President for Global Strategy at Rice University, argues that colleges must transform themselves from museums into startups. Indeed, the ideal of failure, so celebrated in Silicon Valley, must become a pillar of reinvented universities. And students too, who Levander has suggested have become increasingly conservative in their attitude to personal risk, must also learn to embrace not just innovative technological tools but also the messiness of personal disruption. That should be the point of college, Levander says. To learn how to productively fail. 1. Universities Must Choose: Museum or Startup? Levander argues universities exist on a continuum between museums (curating and preserving accumulated wisdom) and startups (messy, high-risk spaces for creating new knowledge). Most institutions haven't intentionally decided where they belong on this spectrum, but they need to embrace a more dynamic, startup-oriented position to remain relevant.2. Student Risk Aversion is the Real Crisis Today's students are increasingly conservative, focused on maximizing GPAs and taking “safe” courses rather than exploring creatively. Universities must build a “growth mindset” that encourages failure and experimentation—treating creativity as a muscle to develop rather than a fixed trait like eye color.3. Disciplinary Diversity is America's Innovation Secret Just as biodiversity sustains ecosystems, disciplinary diversity fuels innovation. Breakthrough moments are unpredictable—Steve Jobs in calligraphy, investor Bill Miller in a philosophy seminar on John Searle. Closing departments and narrowing curricula amounts to “eating our seed corn” and threatens America's competitive advantage.4. The Dropout Myth Misses the Point While figures like Steve Jobs, Mark Zuckerberg, and Sam Altman dropped out successfully, Levander asks: “How do we create more Steve Jobses who find the university not a place to leave, but a place to continue building creative capability?” The goal is to institutionalize and scale what now happens by happenstance.5. Attacking Universities Threatens National Innovation The current political assault on university funding—particularly research dollars—isn't just bad for Harvard or Rice. It threatens America's entire innovation economy, since universities remain the primary incubators for industry-creating discoveries that drive national prosperity and competitiveness. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit keenon.substack.com/subscribe

(01:04) Er prägte das Denken über Sprache und Bewusstsein: US-Philosoph John Searle mit 93 Jahren verstorben. Weitere Themen: (06:18) Bedürfnis nach Seelsorge-Gesprächen in der Armee steigt – Eine Bilanz zu 3 Jahren interreligiöser Armeeseelsorge. (11:12) Ian McEwan wagt den Blick ins Jahr 2119 – sein neuer Roman «Was wir wissen können» erinnert daran, dass den Menschen der Zukunft auch eine Zukunft schulden. (15:38) Sarah Kuratles «Chimäre» zum Innehalten: Anspruchsvolle Lektüre, kunstvoll geschrieben.

Today, Dr. Selmer Bringsjord joins guest host Pat Flynn to discuss a compelling argument for the immateriality of mathematical objects and the human person. It’s an argument Bringsjord develops in his chapter “Mathematical Objects Are Non-Physical, So We Are Too” in the book Minding the Brain. Building on the work of philosophers like James Ross and John Searle, the argument suggests Read More › Source

Welcome to Dev Game Club, where this week we continue our series on walking simulators with 2012's Dear Esther, played here in a 2017 "Landmark Edition" but based on a 2007 Source mod for Half-Life 2. We of course set the game in its time, spend a fair amount of time on randomness and meaning, and open the cellar door. Dev Game Club looks at classic video games and plays through them over several episodes, providing commentary. Sections played: The whole shebang Issues covered: walking simulators, 2012 in games, a little history of The Chinese Room (the company), a little digression on The Chinese Room (the thought experiment), influences, developing in the mod community, the role of randomness, discovering the randomness, justifying the randomness, mod communities replaying games, not discussing games as you play them, writers having the same space to play, 30 seconds of depressing poetry, "cellar door," a quality of lovely phonemes, the facts we know and the things we might interpret, a dreamy narrative space, Tim reveals his baseball knowledge, a metaphor for grief and an otherworldly space, rebirth, a car accident setting vs a gurney setting, things you can miss, not a thing video games would do, appreciating a new design space, directors' commentaries, crematory urns, one of the props, the impact of the ultrasound, needing to relate to the characters, the potential for missing things. Games, people, and influences mentioned or discussed: Fez, The Stanley Parable, The Chinese Room, Dishonored, Halo 4, Diablo III, Kingdom Hearts 3D: Dream Drop Distance, Forza Horizon, New Super Mario Bros U, Far Cry 3, XCOM Enemy Unknown, Alan Wake's American Nightware, Hitman Absolution, Assassin's Creed 3, Max Payne 3, Mass Effect 3, Borderlands 2, Darksiders 2, Spec Ops: The Line, Dragon's Dogma, Fez, Journey, The Walking Dead, Hotline Miami, Spelunky, Papo y Yo, Bastion, Super Hexagon, Sumo Digital, Dan Pinchbeck, Jessica Curry, Rob Briscoe, Independent Games Festival, Korsakovia, Amnesia: A Machine for Pigs, Everyone's Gone to the Rapture, Unity, CryEngine, Little Orpheus, Still Wakes the Deep, Vampire: Bloodlines (series), Hardsuit Labs, Brian Mitsoda, John Searle, Alan Turing, William S. Burroughs, Nigel Carrington, Proteus, Halo, Drew Barrymore, Donnie Darko, Rogue Legacy 2, David Lynch, Lost Highway, Inland Empire, Laura Dern, Waiting for Godot, True West, Sam Shepard, Firewatch, LucasArts, 343 Games, Kevin Schmitt, Metal Gear, Death Stranding, Trespasser, Tacoma, Jedi Starfighter, Daron Stinnett, Outer Wilds, Kirk Hamilton, Aaron Evers, Mark Garcia. Next time: The Stanley Parable Twitch: timlongojr  Discord  DevGameClub@gmail.com 

Audient!This episode imposes upon us (well Jake mostly) the horrors of shoddy writing and bad aesthetics. And yet, Sir Arthur Conan Doyle's creation seems to be very much alive. How is that? Why?We get to touch on some long-neglected Star here, Il vaut mieux Lyotard que jamais, hearkening back to its post-structuralist origins.  We go back down memory lane to when me and Jake were reading this exact critique of that exact attitude, that time between Analytic philosopher John Searle and the evil Continentalist Jacques Derrida and his essay Signature, Event, Cuntext. There, Derrida shows how each utterance, of necessity, breaches whatever context is assigned to it, thus always opening the way for what Holmes keeps pretending to have had already hermetically closed: the other possibility. Sherlock Holmes is shown to play out a fantasy of control, one that professionalizes thinking in much the same way an AI does. Holmes' "method of logical deduction" is explored in this vein to reveal a logical abduction, where Truth is nowhere acknowledged, and the process simply arrives at the least improbable outcome. Alas, since the entire context, the full "One", will always be breachable - we were thinking also of Gödel's Incompleteness Theorem here - the probability will forever be dangling, insecure; or worse, open to various biases of 'normativity.'Jake, once again, recalls Jack Bauer, as a distilled version, a sublimated Sherlock Holmes; one that stopped bothering about that (quite flimsy) justification, along with the 'method' Holmes uses to construct it. If it was always bullshit, why not go right to the point?Our perverts also hone in on the obvious closeted Homosexuality that emanates from this dynamic duo, and all the libidinal affirmations and denials that move this - many times unspoken, but always quite present - sexually-tense relationship. 'No Homo,' this time operating as a literary device...Stars:IL VAUT MIEUX LYOTARD QUE JAMAIS; Pervs 'R Us; Beast & Sovereign.

This Postmodern Realities episode is a conversation with JOURNAL author R. Keith Loftin about his article, “John Searle: Unwitting Ally of the Soul”. This is also part of our ongoing Philosophers Series. https://www.equip.org/articles/john-searle-unwitting-ally-of-the-soul/Related articles and podcasts by this author:Episode 407 Consciousness, AI, and the Imago DeiConsciousness, AI, and the Imago DeiEpisode 232 Who Made God?But Who Made God?Swimming Upstream: Why the Natural Law Resists TotalitarianismDon't miss an episode; please subscribe to the Postmodern Realities podcast wherever you get your favorite podcasts. Please help spread the word about Postmodern Realities by giving us a rating and review when you subscribe to the podcast. The more ratings and reviews we have, the more new listeners can discover our content.

Ivan Zhang, co-founder of Cohere, discusses the company's enterprise-focused AI solutions. He explains Cohere's early emphasis on embedding technology and training models for secure environments. Zhang highlights their implementation of Retrieval-Augmented Generation in healthcare, significantly reducing doctor preparation time. He explores the shift from monolithic AI models to heterogeneous systems and the importance of improving various AI system components. Zhang shares insights on using synthetic data to teach models reasoning, the democratization of software development through AI, and how his gaming skills transfer to running an AI company. He advises young developers to fully embrace AI technologies and offers perspectives on AI reliability, potential risks, and future model architectures. https://cohere.com/ https://ivanzhang.ca/ https://x.com/1vnzh TOC: 00:00:00 Intro 00:03:20 AI & Language Model Evolution 00:06:09 Future AI Apps & Development 00:09:29 Impact on Software Dev Practices 00:13:03 Philosophical & Societal Implications 00:16:30 Compute Efficiency & RAG 00:20:39 Adoption Challenges & Solutions 00:22:30 GPU Optimization & Kubernetes Limits 00:24:16 Cohere's Implementation Approach 00:28:13 Gaming's Professional Influence 00:34:45 Transformer Optimizations 00:36:45 Future Models & System-Level Focus 00:39:20 Inference-Time Computation & Reasoning 00:42:05 Capturing Human Thought in AI 00:43:15 Research, Hiring & Developer Advice REFS: 00:02:31 Cohere, https://cohere.com/ 00:02:40 The Transformer architecture, https://arxiv.org/abs/1706.03762 00:03:22 The Innovator's Dilemma, https://www.amazon.com/Innovators-Dilemma-Technologies-Management-Innovation/dp/1633691780 00:09:15 The actor model, https://en.wikipedia.org/wiki/Actor_model 00:14:35 John Searle's Chinese Room Argument, https://plato.stanford.edu/entries/chinese-room/ 00:18:00 Retrieval-Augmented Generation, https://arxiv.org/abs/2005.11401 00:18:40 Retrieval-Augmented Generation, https://docs.cohere.com/v2/docs/retrieval-augmented-generation-rag 00:35:39 Let's Verify Step by Step, https://arxiv.org/pdf/2305.20050 00:39:20 Adaptive Inference-Time Compute, https://arxiv.org/abs/2410.02725 00:43:20 Ryan Greenblatt ARC entry, https://redwoodresearch.substack.com/p/getting-50-sota-on-arc-agi-with-gpt Disclaimer: This show is part of our Cohere partnership series

Murray Shanahan is a professor of Cognitive Robotics at Imperial College London and a senior research scientist at DeepMind. He challenges our assumptions about AI consciousness and urges us to rethink how we talk about machine intelligence. We explore the dangers of anthropomorphizing AI, the limitations of current language in describing AI capabilities, and the fascinating intersection of philosophy and artificial intelligence. Show notes and full references: https://docs.google.com/document/d/1ICtBI574W-xGi8Z2ZtUNeKWiOiGZ_DRsp9EnyYAISws/edit?usp=sharing Prof Murray Shanahan: https://www.doc.ic.ac.uk/~mpsha/ (look at his selected publications) https://scholar.google.co.uk/citations?user=00bnGpAAAAAJ&hl=en https://en.wikipedia.org/wiki/Murray_Shanahan https://x.com/mpshanahan Interviewer: Dr. Tim Scarfe Refs (links in the Google doc linked above): Role play with large language models Waluigi effect "Conscious Exotica" - Paper by Murray Shanahan (2016) "Simulators" - Article by Janis from LessWrong "Embodiment and the Inner Life" - Book by Murray Shanahan (2010) "The Technological Singularity" - Book by Murray Shanahan (2015) "Simulacra as Conscious Exotica" - Paper by Murray Shanahan (newer paper of the original focussed on LLMs) A recent paper by Anthropic on using autoencoders to find features in language models (referring to the "Scaling Monosemanticity" paper) Work by Peter Godfrey-Smith on octopus consciousness "Metaphors We Live By" - Book by George Lakoff (1980s) Work by Aaron Sloman on the concept of "space of possible minds" (1984 article mentioned) Wittgenstein's "Philosophical Investigations" (posthumously published) Daniel Dennett's work on the "intentional stance" Alan Turing's original paper on the Turing Test (1950) Thomas Nagel's paper "What is it like to be a bat?" (1974) John Searle's Chinese Room Argument (mentioned but not detailed) Work by Richard Evans on tackling reasoning problems Claude Shannon's quote on knowledge and control "Are We Bodies or Souls?" - Book by Richard Swinburne Reference to work by Ethan Perez and others at Anthropic on potential deceptive behavior in language models Reference to a paper by Murray Shanahan and Antonia Creswell on the "selection inference framework" Mention of work by Francois Chollet, particularly the ARC (Abstraction and Reasoning Corpus) challenge Reference to Elizabeth Spelke's work on core knowledge in infants Mention of Karl Friston's work on planning as inference (active inference) The film "Ex Machina" - Murray Shanahan was the scientific advisor "The Waluigi Effect" Anthropic's constitutional AI approach Loom system by Lara Reynolds and Kyle McDonald for visualizing conversation trees DeepMind's AlphaGo (mentioned multiple times as an example) Mention of the "Golden Gate Claude" experiment Reference to an interview Tim Scarfe conducted with University of Toronto students about self-attention controllability theorem Mention of an interview with Irina Rish Reference to an interview Tim Scarfe conducted with Daniel Dennett Reference to an interview with Maria Santa Caterina Mention of an interview with Philip Goff Nick Chater and Martin Christianson's book ("The Language Game: How Improvisation Created Language and Changed the World") Peter Singer's work from 1975 on ascribing moral status to conscious beings Demis Hassabis' discussion on the "ladder of creativity" Reference to B.F. Skinner and behaviorism

Segundo Roger Penrose (Nobel de Física em 2020, para quem gosta de validação de autoridade acadêmica), toda essa discussão sobre os “perigos dos avanços da inteligência artificial” e a possibilidade dessa “inteligência” substituir a mente humana não passa de alarmismo vulgar, alimentado por muita ficção científica e pouca ciência e filosofia. Não que figuras importantes da ciência não defendessem tal possibilidade distópica, onde as máquinas poderão nos copiar, nos substituir, nos eliminar e prevalescer sobre a Terra. Autores como Marvin Minsky, pioneiro na inteligência artificial, consideram nossa mente como “computadores feitos de carne” e, como tal, seria perfeitamente possível pensar que toda nossa percepção de beleza, humor, consciência e livre-arbítrio poderiam emergir naturalmente de robôs eletrônicos com comportamento algorítmico suficientemente complexo. O grande problema de nossos tempos é que muitas vezes bons cientistas não produzem boa filosofia e bons filósofos não entendem de ciência. E ambos já não produzem nenhuma especulação mística ou religiosa, pois o pensamento religioso foi caricaturado numa interpretação vulgar de “dogma” (mas isso é outro assunto). Os filósofos da ciência, como John Searle, parecem, a princípio, os mais qualificados para responder a autores como Minsky, ao afirmar com bastante lucidez que computadores não são essencialmente diferentes de calculadoras mecânicas que operam com rodas, alavancas ou qualquer outra coisa capaz de transmitir sinais. Um computador, por mais avançado que seja, “entende” suas operações tal como um ábaco. Leia mais aqui.

Is the real world unreachable due to the mediation of language? Or has the linguistic turn in philosophy and academia gone too far?Looking for a link we mentioned? It's here: https://linktr.ee/philosophyforourtimesJoin post-realist philosopher Hilary Lawson, professor of logic Michael Potter and philosopher of language John Searle as they discuss what debates over language add or takeaway from the discipline of philosophy. The three philosophers do not shy away from metaphysics and the potential of removing meaning from our understanding of the world. Listen to learn more about the linguistic turn and its implications. There are thousands of big ideas to discover at IAI.tv – videos, articles, and courses waiting for you to explore. Find out more: https://iai.tv/podcast-offers?utm_source=podcast&utm_medium=shownotes&utm_campaign=the-limits-of-my-worldSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Welcome to the Monique on the Mic Podcast! I'm Monique B. Thomas, and today's episode is a unique treat. Join me and my mentor, the incredible Greg Enriquez, as we stroll through the scenic streets of Bari, Italy, during an international singing camp. This episode captures our candid conversations about the intersection of art and everyday life, the nuances of teaching and singing, and the often unspoken loneliness of being an artist.We dive into:The intrinsic artistry in every professionThe challenges and rewards of being a misunderstood artist.The importance of structure in vocal training amidst the trend of ultimate freedom in teaching.How societal perceptions of gender roles have evolved in the vocal world.The impact of science and technology on vocal pedagogy and the need for a balanced approach.Expect some delightful digressions as we chat about everything from vocal techniques to the nature of human consciousness, all while navigating the picturesque yet busy streets (with a few humorous interruptions!).Whether you're an artist feeling isolated, a vocal student seeking deeper insights, or simply someone intrigued by the creative process, this episode is for you. Greg's profound thoughts on pedagogy and my reflections on sustaining a vocal career offer valuable takeaways.Tune in for a walk-and-talk experience that's as enlightening as it is entertaining. And remember, you're never alone in your artistic journey.

Welcome to the Monique on the Mic Podcast! I'm Monique B. Thomas, and today's episode is a unique treat. Join me and my mentor, the incredible Greg Enriquez, as we stroll through the scenic streets of Bari, Italy, during an international singing camp. This episode captures our candid conversations about the intersection of art and everyday life, the nuances of teaching and singing, and the often unspoken loneliness of being an artist.We dive into:The intrinsic artistry in every professionThe challenges and rewards of being a misunderstood artist.The importance of structure in vocal training amidst the trend of ultimate freedom in teaching.How societal perceptions of gender roles have evolved in the vocal world.The impact of science and technology on vocal pedagogy and the need for a balanced approach.Expect some delightful digressions as we chat about everything from vocal techniques to the nature of human consciousness, all while navigating the picturesque yet busy streets (with a few humorous interruptions!).Whether you're an artist feeling isolated, a vocal student seeking deeper insights, or simply someone intrigued by the creative process, this episode is for you. Greg's profound thoughts on pedagogy and my reflections on sustaining a vocal career offer valuable takeaways.Tune in for a walk-and-talk experience that's as enlightening as it is entertaining. And remember, you're never alone in your artistic journey.

In this episode of Discover Daily, we explore the cutting-edge advancements in AI voice cloning technology, focusing on OpenAI's new "Voice Engine" model. Learn about the potential applications, ethical concerns, and the industry's approach to responsible deployment of this powerful technology. We also delve into the National WWII Museum's innovative use of AI in their "Voices From the Front" exhibit, which allows visitors to interact with virtual veterans and preserve their stories for future generations. Explore the Philosophical Debate Surrounding AI and UnderstandingIn the second half of the episode, we introduce the famous Chinese Room thought experiment proposed by philosopher John Searle. This thought-provoking argument challenges the notion of "strong AI" and questions whether computers can truly understand and have genuine mental states. Join us as we examine the implications of this thought experiment on the nature of intelligence and the future of AI development. Discover Daily brings you a fascinating blend of cutting-edge technology and philosophical discourse, all in one engaging podcast.For more on these stories:OpenAI voice cloning techhttps://www.perplexity.ai/search/OpenAI-voice-cloning-vbBufFBaTy6P8q93fBe.2gWW2 survivors turned into AIhttps://www.perplexity.ai/search/WW2-survivors-turned-Bf.jn3wbT3qUzG2k5SA9fwChinese room thought experimenthttps://www.perplexity.ai/search/Chinese-room-thought-yzagvajmQuulDcgnNXr._wPerplexity is the fastest and most powerful way to search the web. Perplexity crawls the web and curates the most relevant and up-to-date sources (from academic papers to Reddit threads) to create the perfect response to any question or topic you're interested in. Take the world's knowledge with you anywhere. Available on iOS and Android Join our growing Discord community for the latest updates and exclusive content. Follow us on: Instagram Threads X (Twitter) YouTube Linkedin

John R. Searle, 2010. This short treatise looks at how we construct a social reality from our sense impressions; at how, for example, we construct a ‘five-pound note' with all that implies in terms of value and social meaning, from the printed piece of paper we see and touch. In The Construction of Social Reality, eminent philosopher John Searle examines the structure of social reality (or those portions of the world that are facts only by human agreement, such as money, marriage, property, and government), and contrasts it to a brute reality that is independent of human agreement. Searle shows that brute reality provides the indisputable foundation for all social reality, and that social reality, while very real, is maintained by nothing more than custom and habit.

Episode: 1912 Am I conscious, or do I just think I am?  Today, guest scientist Andrew Boyd explores how we think.

Het is de zomer van 2024. De Republikeinse en Democratische conventies staan op hun beurt hun kandidaten te nomineren. Hoe staan de kandidaten ervoor? Zijn het Trump en Biden? Hoe sterk of zwak zijn ze? Wat heeft het hete voorjaar vol strafprocessen en voorverkiezingen met ze gedaan? En waarom? In deze aflevering doen Kenneth en David een gedachtenexperiment (inclusief imaginiaire kaviaar en champagne) en verplaatsen zichzelf naar 2024 als de presidentsverkiezingen voor de deur staan om Amerika te aanschouwen. Boek aanbevelingen: - Colin Woodard, 'American Nations - A History of The Eleven Regional Cultures of North America'; - John Searle, 'Mind' Vragen of suggesties? Stuur een email naar podcast@manusama.com of vind ons op Twitter/X: @KennethManusama en @dmdebruijn.

In episode 88 of The Gradient Podcast, Daniel Bashir speaks to Professor Stevan Harnad.Stevan Harnad is professor of psychology and cognitive science at Université du Québec à Montréal, adjunct professor of cognitive science at McGill University, and professor emeritus of cognitive science at the University of Southampton. His research is on category learning, categorical perception, symbol grounding, the evolution of language, and animal and human sentience (otherwise known as “consciousness”). He is also an advocate for open access and an activist for animal rights.Have suggestions for future podcast guests (or other feedback)? Let us know here or reach us at editor@thegradient.pubSubscribe to The Gradient Podcast:  Apple Podcasts  | Spotify | Pocket Casts | RSSFollow The Gradient on TwitterOutline:* (00:00) Intro* (05:20) Professor Harnad's background: interests in cognitive psychobiology, editing Behavioral and Brain Sciences* (07:40) John Searle submits the Chinese Room article* (09:20) Early reactions to Searle and Prof. Harnad's role* (13:38) The core of Searle's argument and the generator of the Symbol Grounding Problem, “strong AI”* (19:00) Ways to ground symbols* (20:26) The acquisition of categories* (25:00) Pantomiming, non-linguistic category formation* (27:45) Mathematics, abstraction, and grounding* (36:20) Symbol manipulation and interpretation language* (40:40) On the Whorf Hypothesis* (48:39) Defining “grounding” and introducing the “T3” Turing Test* (53:22) Turing's concerns, AI and reverse-engineering cognition* (59:25) Other Minds, T4 and zombies* (1:05:48) Degrees of freedom in solutions to the Turing Test, the easy and hard problems of cognition* (1:14:33) Over-interepretation of AI systems' behavior, sentience concerns, T3 and evidence sentience* (1:24:35) Prof. Harnad's commentary on claims in The Vector Grounding Problem* (1:28:05) RLHF and grounding, LLMs' (ungrounded) capabilities, syntactic structure and propositions* (1:35:30) Multimodal AI systems (image-text and robotic) and grounding, compositionality* (1:42:50) Chomsky's Universal Grammar, LLMs and T2* (1:50:55) T3 and cognitive simulation* (1:57:34) OutroLinks:* Professor Harnad's webpage and skywritings* Papers:* Category Induction and Representation* Categorical Perception* From Sensorimotor Categories to Grounded Symbols* Minds, machines and Searle 2* The Latent Structure of Dictionaries Get full access to The Gradient at thegradientpub.substack.com/subscribe

This podcast is a commentary and does not contain any copyrighted material of the reference source. We strongly recommend accessing/buying the reference source at the same time. ■Reference Source https://www.ted.com/talks/john_searle_our_shared_condition_consciousness ■Post on this topic (You can get FREE learning materials!) https://englist.me/153-academic-words-reference-from-john-searle-our-shared-condition-consciousness-ted-talk/ ■Youtube Video https://youtu.be/2ZpE4FmxONg (All Words) https://youtu.be/4NvhkVlPmcw (Advanced Words) https://youtu.be/ImFHwz9f5Dc (Quick Look) ■Top Page for Further Materials https://englist.me/ ■SNS (Please follow!)

Welcome to the fourth episode of Fickle Philosophies! Today we're looking at a dilemma that's coming more-and-more to the forefront of discussions around technology: will the machines we make one day be able to think?In today's episode, we'll be looking at simulations of understanding, John Searle's Chinese-Room Thought-Experiment, and awareness of an internal self.This season, I'm going to be relying heavily on Stephen Law's The Philosophy Gym for great, easy-to-digest examples and arguments--I strongly recommend you check out his book for more information and philosophical viewpoints-----If you love this podcast, show your support by rating, subscribing, and downloading!  The best way to support me is by sharing this podcast with others—the more people can learn, the better we can understand the crazy world we live in :D

Today we discuss ideas from John Searle and Noam Chomsky and consider several questions surrounding machine intelligence.  Get more: Website: https://www.philosophizethis.org/ Patreon: https://www.patreon.com/philosophizethis Philosophize This! Clips: https://www.youtube.com/@philosophizethisclips   Be social: Twitter: https://twitter.com/iamstephenwest Instagram: https://www.instagram.com/philosophizethispodcast TikTok: https://www.tiktok.com/@philosophizethispodcast  

Un employé de Google se fait virer car il prétend que son modèle de langage a une conscience. ChatGPT débarque et chamboule notre manière de penser, d'écrire, de travailler. Les grandes œuvres de science-fiction nous confrontent à notre peur que la machine dépasse son créateur et s'en débarrasse. Avec l'intelligence artificielle, la question de la vérité est plus que jamais cruciale. A l'heure où les machines sont tellement développées qu'elles se font facilement passer pour des êtres humains, la frontière est fine entre le réel et le virtuel, le vrai et le faux. Références de l'épisode : – https://www.huffingtonpost.fr/technologie/article/un-ingenieur-de-google-avertit-qu-une-intelligence-artificielle-est-consciente_197549.html – Her, film de Spike Jonze, 2013. – Short Circuit (ou Cœur circuit au Québec, ou Court-circuit en Belgique), film de John Badham, 1986. – Astro, le petit robot, série télévisée d'animation de science-fiction japonaise, produite par les studios Tezuka Productions, diffusée dans les années 1980. – Alan Turing, test de Turing. – Imitation Game, film de Morten Tyldum, 2014. – R. U. R. (Rossum's Universal Robots), pièce de théâtre (science-fiction) de Karel Čapek, 1920. – Chambre chinoise (Chinese room), expérience de pensée imaginée par John Searle vers 1980. – La Bible, livre de la Genèse, chapitre 2, verset 18 : “Il n'est pas bon que l'homme soit seul” C'est grâce à votre générosité que le podcast Sagesse et Mojito existe ! Pour nous soutenir : – Tipeee : https://fr.tipeee.com/sagesse-et-mojito – Patreon : https://www.patreon.com/sa gesseetmojito – imagoDei : https://www.imagodei.fr/dons/ Suivez nos actualités, participez à nos échanges, rendez-vous sur imagoDei.fr !

In episode 236 of the Parker's Pensées Podcast, I'm joined once again by philosophy professor, Dr. Mike Huemer. This time we discuss an invited paper he wrote on the problem of other minds--which he originally wrote as an undergrad senior thesis under John Searle (which is pretty cool). Huemer argues against analogy and perceptional solutions to the problem of justifying our knowledge of other minds and puts forth an inference to the best explanation instead. We also get into whether or not ants, dogs, and robots have minds and how we might go about deciding. Check the time stamps for the full list of topics we discussed. If you like this podcast, then support it on Patreon for $3, $5 or more a month. Any amount helps, and for $5 you get a Parker's Pensées sticker and instant access to all the episode as I record them instead of waiting for their release date. Check it out here: Patreon: https://www.patreon.com/parkers_pensees If you want to give a one-time gift, you can give at my Paypal: https://paypal.me/ParkersPensees?locale.x=en_US Check out my merchandise at my Teespring store: https://teespring.com/stores/parkers-penses-merch Come talk with the Pensées community on Discord: dsc.gg/parkerspensees Sub to my Substack to read my thoughts on my episodes: https://parknotes.substack.com/ Check out my blog posts: https://parkersettecase.com/ Check out my Parker's Pensées YouTube Channel: https://www.youtube.com/channel/UCYbTRurpFP5q4TpDD_P2JDA Check out my other YouTube channel on my frogs and turtles: https://www.youtube.com/c/ParkerSettecase Check me out on Twitter: https://twitter.com/trendsettercase Instagram: https://www.instagram.com/parkers_pensees/0:00 - what is the problem of other minds? (and the arg from analogy) 10:59 - Perceptual Theory of other minds 26:46 - Inference to the Best Explanation as justification for believing in other minds 33:20 - Why Can't we use IBE to justify belief in Robot Minds? 36:12 - Is mental sharing possible? 37:24 - Epiphenomenalism 41:50 - Mind-Brain Identity theory 46:50 - Contra Functionalism(s) 56:35 - Philosophical Zombies 1:00:27 - Qualia and Functionalism 1:02:55 - Do Dogs Have Minds and Know Things? 1:17:58 - Can We Prove that Robots Have Minds? 1:27:47 - Eternal Immaterial Souls and Super Intelligence

Please check out Numerai - our sponsor using our link @ http://numer.ai/mlst Numerai is a groundbreaking platform which is taking the data science world by storm. Tim has been using Numerai to build state-of-the-art models which predict the stock market, all while being a part of an inspiring community of data scientists from around the globe. They host the Numerai Data Science Tournament, where data scientists like us use their financial dataset to predict future stock market performance. Support us! https://www.patreon.com/mlst MLST Discord: https://discord.gg/aNPkGUQtc5 Twitter: https://twitter.com/MLStreetTalk YT version: https://youtu.be/axJtywd9Tbo In this fascinating interview, Dr. Tim Scarfe speaks with renowned philosopher Daniel Dennett about the potential dangers of AI and the concept of "Counterfeit People." Dennett raises concerns about AI being used to create artificial colleagues, and argues that preventing counterfeit AI individuals is crucial for societal trust and security. They delve into Dennett's "Two Black Boxes" thought experiment, the Chinese Room Argument by John Searle, and discuss the implications of AI in terms of reversibility, reontologisation, and realism. Dr. Scarfe and Dennett also examine adversarial LLMs, mental trajectories, and the emergence of consciousness and semanticity in AI systems. Throughout the conversation, they touch upon various philosophical perspectives, including Gilbert Ryle's Ghost in the Machine, Chomsky's work, and the importance of competition in academia. Dennett concludes by highlighting the need for legal and technological barriers to protect against the dangers of counterfeit AI creations. Join Dr. Tim Scarfe and Daniel Dennett in this thought-provoking discussion about the future of AI and the potential challenges we face in preserving our civilization. Don't miss this insightful conversation! TOC: 00:00:00 Intro 00:09:56 Main show kick off 00:12:04 Counterfeit People 00:16:03 Reversibility 00:20:55 Reontologisation 00:24:43 Realism 00:27:48 Adversarial LLMs are out to get us 00:32:34 Exploring mental trajectories and Chomsky 00:38:53 Gilbert Ryle and Ghost in machine and competition in academia 00:44:32 2 Black boxes thought experiment / intentional stance 01:00:11 Chinese room 01:04:49 Singularitarianism 01:07:22 Emergence of consciousness and semanticity References: Tree of Thoughts: Deliberate Problem Solving with Large Language Models https://arxiv.org/abs/2305.10601 The Problem With Counterfeit People (Daniel Dennett) https://www.theatlantic.com/technology/archive/2023/05/problem-counterfeit-people/674075/ The knowledge argument https://en.wikipedia.org/wiki/Knowledge_argument The Intentional Stance https://www.researchgate.net/publication/271180035_The_Intentional_Stance Two Black Boxes: a Fable (Daniel Dennett) https://www.researchgate.net/publication/28762339_Two_Black_Boxes_a_Fable The Chinese Room Argument (John Searle) https://plato.stanford.edu/entries/chinese-room/ https://web-archive.southampton.ac.uk/cogprints.org/7150/1/10.1.1.83.5248.pdf From Bacteria to Bach and Back: The Evolution of Minds (Daniel Dennett) https://www.amazon.co.uk/Bacteria-Bach-Back-Evolution-Minds/dp/014197804X Consciousness Explained (Daniel Dennett) https://www.amazon.co.uk/Consciousness-Explained-Penguin-Science-Dennett/dp/0140128670/ The Mind's I: Fantasies and Reflections on Self and Soul (Hofstadter, Douglas R; Dennett, Daniel C.) https://www.abebooks.co.uk/servlet/BookDetailsPL?bi=31494476184 #DanielDennett #ArtificialIntelligence #CounterfeitPeople

In this episode of AUHSD Future Talks, Superintendent Matsuda interviews Professor Avram Noam Chomsky. Mr. Chomsky was born on December 7, 1928 and he is one of the most cited public intellectuals of the 21st century: a linguist, philosopher, cognitive scientist, historian, social critic, and political activist. He is a Laureate Professor of Linguistics at the University of Arizona starting in 2017 and was an Institute Professor Emeritus at the Massachusetts Institute of Technology (MIT) from 2001 to 2017. He has authored more than 150 books on topics on linguistics, war, politics, and mass media. Considered to be "the father of modern linguistics", for such reasons as working on the concept of "Universal Grammar" he continues to investigate language with the concept and theory of Transformational-Generative Grammar.He not only has written numerous books but he has engaged in philosophical debates with intellectuals and modern philosophers. Some noteworthy intellectuals and philosophers he debated were Michel Foucault, Tyler Burge, Donald Davidson, Michael Dummett, Saul Kripke, Thomas Nagel, Hilary Putnam, Willard Van Orman Quine, and John Searle. During the talk with Superintendent Matsuda, Professor Chomsky discusses his educational experience, mass public education, "banking" form of education, three existential threats that face humanity, the connection between his linguistic work and education, the way forward for young people, democracy and education, and his message to young people.

Jim talks with Brendan Graham Dempsey about his book Emergentism: A Religion of Complexity for the Metamodern World. They discuss the meaning crisis & its symptoms, reciprocal narrowing, the pre-modern & the modern, the emergence of reductionism, the meaning of complexity & emergence, sacralizing the scientific creation narrative, Prigogine's theory of dissipative systems, the universe as a process of endless complexification, marrying Bobby Azarian's Unifying Theory of Reality & Gregg Henriques's Unified Theory of Knowledge, consciousness vs sentience, Integrated Information Theory vs John Searle's biological functionalism, the odds that intelligent life evolved only once in our galaxy, tying complexification to the God concept, making the "religion that is not a religion" accessible through mythopoeia & storytelling, the Omega Point, whether approaching the Omega Point implies pushing for a techno-Singularity, Emergentist ethics & practices, and much more. Episode Transcript Emergentism: A Religion of Complexity for the Modern World, by Brendan Graham Dempsey "Awakening from the Meaning Crisis," by John Vervaeke - YouTube series JRS EP143 - John Vervaeke Part 1: Awakening from the Meaning Crisis The Emergence of Everything: How the World Became Complex, by Harold Morowitz The Romance of Reality: How the Universe Organizes Itself to Create Life, Consciousness, and Cosmic Complexity, by Bobby Azarian JRS EP 159 - Bobby Azarian on the Romance of Reality JRS EP105 - Christof Koch on Consciousness JRS EP 167 - Bruce Damer on the Origins of Life JRS EP 171 - Bruce Damer Part 2: The Origins of Life – Implications JRS EP40 - Eric Smith on the Physics of Living Systems Brendan Graham Dempsey is a writer whose work focuses on the meaning crisis and the nature of spirituality in metamodernity. He is the host of the Metamodern Spirituality podcast and the writer behind the six-volume (and counting) Metamodern Spirituality Series. He earned his BA in Religious Studies from the University of Vermont and his MA in Religion and the Arts from Yale University. He lives in Greensboro Bend, Vermont, where he runs the holistic retreat center Sky Meadow.

Jim continues his conversation with Serge Faguet, this time focusing on the nature of consciousness and its implications for the wise and ethical use of AI systems. They discuss a technological Singularity, the evolution & significance of consciousness, integrated information theory (IIT) vs. John Searle's arguments, whether current AIs exhibit consciousness, applying the golden rule to AIs, AI alignment, consciousness as solution to the combinatoric explosion of inference, the importance of systems thinking, an upcoming workshop on free will, virtue ethics without religion, building a decentralized nondogmatic religion, gender parity in GameB, Serge's move from entrepreneurship to full-time community-building, and much more. Serge looks forward to receiving any feedback or expressions of interest at first.last@gmail or (better) first_last on Telegram. Episode Transcript Serge Faguet (website) Serge Faguet on Twitter Serge Faguet on Medium JRS Currents 074: Serge Faguet on Building Metacommunity "In Search of the 5th Attractor," by Jim Rutt (Medium) Integrated information theory (Wikipedia) Our Mathematical Universe: My Quest for the Ultimate Nature of Reality, by Max Tegmark JRS EP 157 - Terrence Deacon on Mind's Emergence From Matter Wider Than the Sky: The Phenomenal Gift of Consciousness, by Gerald M. Edelman "What Is It Like to Be a Bat?" by Thomas Nagel JRS EP 170 - John Vervaeke and Jordan Hall on The Religion That Is Not a Religion

In this episode, the dogs catch up (0:30) and discuss a recent movie Rob and Connor watched together (1:20). Connor asks the guys if they’ve ever unknowingly read a robot generated article (7:20). They continue to talk about the intersection of semiotics and AI (8:40), emphasizing its limitations (13:50). Rob compares emails and letter writing (18:46) and Mike brings up the coolest scene from a movie, ever (26:50). (This summary was written by GPT-3, OpenAI's language generator.) Quotes: “Is our brain just the hardware that the software of the consciousness is uploaded to?” (Connor, 11:20) “I think computers are always going to be trying to express what humans would say.” (Mike, 17:27) Media Mentions: Return to Me (2000) Three Dogs North's S11 E22- Window into Heaven (spoileralertshedies) NPR’s This American Life- The Ghost in the Machine (757) John Searle’s Minds, Brains, & Science John Chapter 1 C.S. Lewis’ Space Trilogy: Perelandra Men in Black (1997) The Office: Cafe Disco Terminator Salvation (2009) Discerning Hearts Podcast Pier Giorgio Frassati’s Letter to His Friends and Family Fury (2014) Three Dogs North S11 E49 Isaiah 6:8 References: Michelangelo Chips Ahoy Pepperidge Farm Double Dark Chocolate Milano Cookies David Duchovny Minnie Driver Jim Belushi Bonnie Hunt Top 100 Pro- Catholic Movies The Rosary Joe Pug Unity Temple (Oak Park, Illinois) Frank Lloyd Wright The Turing Test The Chinese Room Walker Percy Triadic creature Elwin Ransom Skynet Christian Bale Arnold Schwarzenegger St. Therese of Lisieux St. Zelie Martin St. John Henry Newman Marie Pauline Martin Pier Giorgio Frassati Shia LaBeouf Howitzer Germany World War II 3rd Infantry Division (based at Fort Stewart, GA) Shout- Outs: The Enthusiast Digest (Joe Pug Newsletter) Fr. Scott Harter New Work Wednesday (Megan Ulrich Newsletter) Fr. Paul Porter Fr. Timothy Gallagher Follow us on instagram @threedogsnorth Contact us at threedogsnorth@gmail.com

In this episode, the dogs catch up (0:30) and discuss a recent movie Rob and Connor watched together (1:20). Connor asks the guys if they've ever unknowingly read a robot generated article (7:20). They continue to talk about the intersection of semiotics and AI (8:40), emphasizing its limitations (13:50). Rob compares emails and letter writing (18:46) and Mike brings up the coolest scene from a movie, ever (26:50). (This summary was written by GPT-3, OpenAI's language generator.) Quotes: “Is our brain just the hardware that the software of the consciousness is uploaded to?” (Connor, 11:20) “I think computers are always going to be trying to express what humans would say.” (Mike, 17:27) Media Mentions: Return to Me (2000)Three Dogs North's S11 E22- Window into Heaven (spoileralertshedies)NPR's This American Life- The Ghost in the Machine (757)John Searle's Minds, Brains, & ScienceJohn Chapter 1C.S. Lewis' Space Trilogy: PerelandraMen in Black (1997)The Office: Cafe DiscoTerminator Salvation (2009)Christian Bale RantDiscerning Hearts PodcastPier Giorgio Frassati's Letter to His Friends and FamilyFury (2014)Three Dogs North S11 E49Isaiah 6:8 References: MichelangeloChips AhoyPepperidge Farm Double Dark Chocolate Milano CookiesDavid DuchovnyMinnie DriverJim BelushiBonnie HuntTop 100 Pro- Catholic MoviesThe RosaryJoe PugUnity Temple (Oak Park, Illinois)Frank Lloyd WrightThe Turing TestThe Chinese RoomWalker PercyTriadic creatureElwin RansomSkynetChristian BaleArnold SchwarzeneggerSt. Therese of LisieuxSt. Zelie MartinSt. John Henry NewmanMarie Pauline MartinPier Giorgio FrassatiShia LaBeoufHowitzerGermanyWorld War II3rd Infantry Division (based at Fort Stewart, GA) Shout- Outs: The Enthusiast Digest (Joe Pug Newsletter)Fr. Scott HarterNew Work Wednesday (Megan Ulrich Newsletter)Fr. Paul PorterFr. Timothy Gallagher Follow us on instagram @threedogsnorth Contact us at threedogsnorth@gmail.com

This video is demonetised on music copyright so we would appreciate support on our Patreon! https://www.patreon.com/mlst We would also appreciate it if you rated us on your podcast platform. YT: https://youtu.be/_KVAzAzO5HU Panel: Dr. Tim Scarfe, Dr. Keith Duggar Guests: Prof. J. Mark Bishop, Francois Chollet, Prof. David Chalmers, Dr. Joscha Bach, Prof. Karl Friston, Alexander Mattick, Sam Roffey The Chinese Room Argument was first proposed by philosopher John Searle in 1980. It is an argument against the possibility of artificial intelligence (AI) – that is, the idea that a machine could ever be truly intelligent, as opposed to just imitating intelligence. The argument goes like this: Imagine a room in which a person sits at a desk, with a book of rules in front of them. This person does not understand Chinese. Someone outside the room passes a piece of paper through a slot in the door. On this paper is a Chinese character. The person in the room consults the book of rules and, following these rules, writes down another Chinese character and passes it back out through the slot. To someone outside the room, it appears that the person in the room is engaging in a conversation in Chinese. In reality, they have no idea what they are doing – they are just following the rules in the book. The Chinese Room Argument is an argument against the idea that a machine could ever be truly intelligent. It is based on the idea that intelligence requires understanding, and that following rules is not the same as understanding. in this detailed investigation into the Chinese Room, Consciousness and Syntax vs Semantics, we interview luminaries J.Mark Bishop and Francois Chollet and use unreleased footage from our interviews with David Chalmers, Joscha Bach and Karl Friston. We also cover material from Walid Saba and interview Alex Mattick from Yannic's Discord. This is probably my favourite ever episode of MLST. I hope you enjoy it! With Keith Duggar. Note that we are using clips from our unreleased interviews from David Chalmers and Joscha Bach -- we will release those shows properly in the coming weeks. We apologise for delay releasing our backlog, we have been busy building a startup company in the background. TOC: [00:00:00] Kick off [00:00:46] Searle [00:05:09] Bishop introduces CRA [00:00:00] Stevan Hardad take on CRA [00:14:03] Francois Chollet dissects CRA [00:34:16] Chalmers on consciousness [00:36:27] Joscha Bach on consciousness [00:42:01] Bishop introduction [00:51:51] Karl Friston on consciousness [00:55:19] Bishop on consciousness and comments on Chalmers [01:21:37] Private language games (including clip with Sam Roffey) [01:27:27] Dr. Walid Saba on the chinese room (gofai/systematicity take) [00:34:36] Bishop: on agency / teleology [01:36:38] Bishop: back to CRA [01:40:53] Noam Chomsky on mysteries [01:45:56] Eric Curiel on math does not represent [01:48:14] Alexander Mattick on syntax vs semantics Thanks to: Mark MC on Discord for stimulating conversation, Alexander Mattick, Dr. Keith Duggar, Sam Roffey. Sam's YouTube channel is https://www.youtube.com/channel/UCjRNMsglFYFwNsnOWIOgt1Q

Philosophy professor John Searle visits Google to discuss the philosophy of mind and the potential for consciousness in artificial intelligence. John is widely noted for his contributions to the philosophy of language, philosophy of mind, and social philosophy. Among his notable concepts is the "Chinese room" argument, which challenges the supposed language comprehension ability of artificial intelligence. Searle conceived of the “Chinese room” thought experiment in 1980. Imagine a native English speaker who cannot read or speak Chinese, locked in a room with boxes of Chinese symbols together with a book of instructions for manipulating the symbols. Imagine that people outside the room send in other Chinese symbols which, unknown to the person in the room, are questions in Chinese. And imagine that by following the book of instructions, the man in the room can pass out Chinese symbols which are correct answers to the questions. Thus the person in the room is able to convince the people outside the room that he understands Chinese, but in fact he does not understand a word of Chinese. The narrow conclusion of the argument is that programming a computer may make it appear to understand language, but cannot produce true comprehension. Searle argues the fact that computers merely use syntactic rules to manipulate symbol strings, but have no true grasp of meaning or semantics. Thus, the theory that human minds are computer-like computational or information processing systems is inadequate. Instead, the human mind must result from biological processes; computers can at best simulate these biological processes. His argument has large implications for semantics, philosophy of language and mind, theories of consciousness, computer science and cognitive science generally. Originally published in December of 2015. Visit http://g.co/TalksAtGoogle/AIConsciousness to watch the video.

Will machines someday replace attorneys, physicians, computer programmers, and world leaders? What about composers, painters, and novelists? Will tomorrow's supercomputers duplicate and exceed humans? Are we just wetware, natural computers doomed to obsolescence by tomorrow's ultra-powerful artificial intelligence? Non-Computable You: What You Do That Artificial Intelligence Never Will by Mind Matters podcast host Robert J. Marks is now available in… Source

Today's ID the Future features a recent Michael Medved Show with artificial intelligent expert Robert J. Marks, author of the new book Non-Computable You: What You Do That Artificial Intelligence Never Will. The occasion for the conversation is an article by Marks about the Tom Cruise movie Top Gun: Maverick. In the article, Marks argues that, strictly in terms of optimal military tactics, the job of the human fighter pilots in the movie would have been better filled by drones. But as sanguine as Marks is about the possibilities for AI in military and other applications, he is among the loudest voices insisting that the AI community tends to overhype AI capabilities. In his conversation with Michael Medved, and in Read More › Source

CONSCIOUSNESS - What is free will? Do we have free will? The ‘Big Questions in Free Will' project tackles these issues in a multi-year study. In Part I, scientists and philosophers research, test, and advance thinking on free will. Featuring Alfred Mele, Galen Strawson, John Searle, Peter van Inwagen, Christof Koch, Uri Maoz, Walter Sinnott-Armstrong, Thalia Wheatley, and Peter Tse.

CONSCIOUSNESS - What is it about the brain that enables some scientists to claim they can explain mind? And what is it about scientific explanations that some philosophers reject? Featuring Christof Koch, Rodolfo Llinas, Raymond Kurzweil, John Searle, and David Chalmers.

CONSCIOUSNESS - How can the mindless microscopic particles that compose our brains "experience" the setting sun, the Mozart Requiem, and romantic love? Featuring Venerable Dr. Yifa, Susan Blackmore, Keith Ward, Daniel Dennett, David Chalmers, John Searle, and Colin McGinn.