Podcasts about thinking machines

¿Quién controla la inteligencia artificial? ¿Y cuánto cuesta fichar al futuro? En este episodio desnudamos la guerra secreta por el talento más valioso del planeta: el que entrena modelos. Te aviso: hay millones, CEOs despechados, startups sin producto... y una lluvia de colonia con aroma a ego tecnológico. PUNTOS CLAVE DEL CAPÍTULO Meta va a la caza y captura de cerebros premium: ofertas, sueldos obscenos y fichajes que parecen del PC Fútbol. OpenAI se siente saqueada y responde con drama, recalibraciones y perfumes éticos. Thinking Machines y otras startups sin producto, pero con valoraciones de 10.000 millones, nos recuerdan que aquí manda la narrativa. Mira Murati, Daniel Gross, Ilya Sutskever… todos tienen precio o propuesta. Musk y Trump estrenan nueva telenovela: entre partidos cerdito, amenazas de deportación y guerras de egos. Ranking sorpresa: ¿qué modelo respeta más tu privacidad? (Spoiler: no es Meta, ni Gemini, ni Copilot). Y sí, ya nadie habla de AGI. Ahora lo que mola es la Superinteligencia. Piensa Poco, Scrollea Mucho: El Capitalismo Límbico Nos Tiene https://go.ivoox.com/rf/140187412 Ilya Sutskever y la Superinteligencia Segura: ¿Está el Ex-Jefe de OpenAI un Paso Adelante? https://go.ivoox.com/rf/134801029 HUMANIA: WIN-WIN Corporativo. La Era Trump-Musk https://go.ivoox.com/rf/135752500 Artículos de Referencia https://www.wired.com/story/mark-zuckerberg-welcomes-superintelligence-team https://www.wired.com/story/mark-zuckerberg-meta-offer-top-ai-talent-300-million https://www.entrepreneur.com/business-news/ai-startup-tml-from-ex-openai-exec-mira-murati-pays-500000/494108 https://www.elconfidencial.com/tecnologia/novaceno/2025-07-02/zuckerberg-inteligencia-artificial-openia-futuro-tencologia_4164371 https://www.xataka.com/robotica-e-ia/industria-ia-se-ha-convertido-juego-tronos-eso-revela-verdad-inquietante-ia-casi-todo-humo https://www.wired.com/story/sam-altman-meta-ai-talent-poaching-spree-leaked-messages https://www.businessinsider.es/economia/elon-musk-arremete-nuevo-partido-republicano-ley-presupuestaria-trump-ha-sido-batalla-1470327 https://www.businessinsider.es/economia/ultima-disputa-musk-trump-clavo-ataud-tesla-inversor-ross-gerber-1470868 https://es-us.noticias.yahoo.com/chatbot-inteligencia-artificial-protege-datos-183103697.html

Jason Howell and Jeff Jarvis break down 1) Anthropic's fair use win in the AI copyright case 2) Pirated book datasets and the looming shadow library trial 3) Apple's rumored talks to acquire or partner with Perplexity 4) What a Perplexity deal could mean for Siri and search 5) Meta's own interest in Perplexity and AI talent wars 6) Google's new Chromebook Plus and on-device AI upgrades 7) Meta's AI-powered smart glasses and the rise of wearables 8) UK study on kids' generative AI habits 9) Chatbots filling therapy gaps for children 10) Sam Altman's take on raising kids with AI 11) OpenAI's IO trademark dispute with Jony Ive 12) Meta's struggle to label AI-generated video 13) Senate's move to block state AI laws 14) Perplexity's Comet browser for Windows 15) John Oliver's takedown of viral AI slop. Subscribe to the YouTube channel! ⁠⁠⁠⁠https://www.youtube.com/@aiinsideshow⁠⁠ Enjoying the AI Inside podcast? Please rate us ⭐⭐⭐⭐⭐ in your podcatcher of choice! Note: Time codes subject to change depending on dynamic ad insertion by the distributor. CHAPTERS: 0:01:03 - Anthropic Scores a Landmark AI Copyright Win—but Will Face Trial Over Piracy Claims 0:25:35 - Bill Gross' ProRata.ai launches its "ethical search engine," gist.ai 0:28:27 - Apple is reportedly considering the acquisition of Perplexity AI 0:35:21 - Meta held talks to buy Thinking Machines, Perplexity, and Safe Superintelligence 0:38:48 - Google brings new Gemini features to Chromebooks, debuts first on-device AI 0:44:41 - Introducing Oakley Meta Glasses, a New Category of Performance AI Glasses 0:53:28 - Turing Institute study on children and AI 0:56:55 - Kids Are in Crisis. Could Chatbot Therapy Help? 1:01:50 - OpenAI CEO says his kids will ‘never be smarter than AI'— and that his parenting style relies on ChatGPT 1:04:09 - OpenAI pulls promotional materials around Jony Ive deal due to court order 1:05:51 - OpenAI's first AI device with Jony Ive won't be a wearable 1:07:10 - Meta told oversight board it can't automatically detect AI-manipulated video or audio. 1:08:13 - Senate Can Keep Ban on State AI Rules in Trump Tax Bill 1:09:51 - Perplexity's AI-powered browser opens up to select Windows users 1:10:50 - John Oliver on AI slop Learn more about your ad choices. Visit megaphone.fm/adchoices

Send us a text00:00 - Intro00:39 - Safe Superintelligence, Thinking Machines15:44 - Tariff opportunities

Send us a textSubscribe to AG Dillon Pre-IPO Stock Research at agdillon.com/subscribe;- Wednesday = secondary market valuations, revenue multiples, performance, index fact sheets- Saturdays = pre-IPO news and insights00:00 - Intro00:08 - Thinking Machines Targets $10B Valuation with $2B Seed Round  01:12 - ByteDance Revenue Hits $155B; Valuation Diverges  02:15 - Anysphere Revenue Quadruples; Eyes $10B Valuation  03:01 - Nuro Raises $106M at $6B Valuation  03:51 - Base Power Raises $200M to Scale Affordable Home Batteries  05:06 - Anthropic Launches Claude Max, Valued at $61.5B  06:15 - Ripple Acquires Hidden Road for $1.25B  07:13 - Canva Adds GenAI Tools; Valued at $37.9B  08:19 - Electricity Demand for AI Surges Globally  10:31 - OpenAI Rolls Out ChatGPT Memory Feature  11:30 - Google Joins Anthropic's Model Context Protocol  12:43 - Safe Superintelligence Taps Google Cloud for Compute  

Send us a text01:19 - CoreWeave Prepares for $35B IPO After 737% Revenue Growth  04:00 - Stripe Hits $91.5B Valuation in Tender Offer  05:12 - OpenAI Raises $40B at $300B Valuation, Partners with SoftBank  07:59 - X Seeks $44B Valuation for New Fundraising Round  09:01 - Thinking Machines Eyes $9B Valuation With $1B Raise  09:34 - MrBeast Targets $5B Valuation for Media Business  10:19 - Shein Plans London IPO at $50B Valuation Despite Profit Drop  11:05 - SpaceX's Starlink Becomes Nigeria's No. 2 ISP  14:23 - Unitree Robotics Gains Traction in Global Markets  16:12 - ByteDance Valued at $400B After Internal Buyback  18:37 - Ramp Hits $13B Valuation After Secondary Sale  19:40 - Safe Superintelligence Hits $30B Valuation With $2B Raise  20:50 - Plaid Plans $6B Secondary Share Sale  21:31 - Scale AI Secures Major US Military Contract  22:47 - Epirus Raises $250M to Scale Counter-Drone Tech  23:54 - Klarna Plans $15B IPO on NYSE in April  24:56 - Discord Plans 2025 IPO, Valued at $5.6B  THANK YOU TO OUR RIA/IBD PARTNERS*: AG Dillon closed 6 pre-IPO stocks funds on Mar 7, 2025. We're making investments into Anduril, OpenAI, xAI, Groq, Figure AI, and a space economy company in this recently closed offering and raised a record $30 million with 33 RIAs/IBDs participating. A great result and a special thank you to our RIA/IBD partners. AG Dillon assets under management now stand at $93 million in just under two years since closing our first fund. If you're a financial advisor and would like to use our single stock funds to build bespoke pre-IPO stock portfolios please drop us an email. You select pre-IPO stock company exposures and weight allocation to each pre-IPO stock to express your unique investment thesis. Our funds are available for purchase at Charles Schwab, Fidelity, and directly at AG Dillon Funds. $2,500 minimum investment. Email aaron.dillon@agdillon.com to invest.* NOTE: AG Dillon ("AGD") is not affiliated with any pre-IPO company. Some pre-IPO companies may require company approval for purchases (aka transfers). AGD has not been pre-approved by any pre-IPO company to purchase their stock. AGD purchases pre-IPO stocks in the secondary market and may gain exposure by directly purchasing the stock (on the company's capitalization table) and/or through a third-party fund (aka special purpose vehicle, or SPV).

This Week in Startups is brought to you by…Gusto. Get three months free when you run your first payroll at http://gusto.com/twistLemon.io. Get 15% off your first 4 weeks of developer time at https://Lemon.io/twistAtlassian. Head to https://www.atlassian.com/software/startups to see if you qualify for 50 free seats for 12 months.Today's show: Jason and Lon Harris cover Nikola's Chapter 11 and how founders can avoid the same mistake, Superhuman AI's new features, Mira Murati's Thinking Machines and where Sam Altman went wrong holding onto top talent, plus much more!Timestamps:(0:00) Episode teaser(1:26) Introduction to startup news and trends(2:47) Bill Ackman's J trade and Herbalife controversy(5:24) Comparing trading strategies: Jason vs. Pelosi(9:49) Gusto. Get three months free when you run your first payroll at http://gusto.com/twist(11:29) HP's acquisition of Humane and its significance(13:52) Challenges facing the AI industry(20:30) Lemon.io. Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist(21:47) OpenAI veterans launch a new venture(28:09) Chamath's venture into high stakes poker(29:35) Atlassian. Head to https://www.atlassian.com/software/startups to see if you qualify for 50 free seats for 12 months.(36:37) Nikola's Chapter 11 filing and securities fraud(48:10) The upside of failing as a founder in the U.S.(50:24) Superhuman introduces AI-powered email features(51:58) Preview of upcoming guests on the podcast(53:03) Key characteristics of successful founders(56:21) Play-along: Guess the fake startup(1:04:12) Movie trilogy rankings: Superman, Star Wars, TerminatorSubscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpCheck out these past Guess The Fake Startups segments:https://www.youtube.com/watch?v=iKP2iiF1oYIhttps://www.youtube.com/watch?v=rhnOXuGnh14https://www.youtube.com/watch?v=ueazpyGOgccFollow Lon:X: https://x.com/alexFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:(9:49) Gusto. Get three months free when you run your first payroll at http://gusto.com/twist(20:30) Lemon.io. Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist(29:35) Atlassian. Head to https://www.atlassian.com/software/startups to see if you qualify for 50 free seats for 12 months.Great TWIST interviews: Will Guidara,Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta,Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.comSubscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

Das ist das KI-Update vom 19.02.2025 unter anderem mit diesen Themen: xAI veröffentlicht Grok 3 KI-Agenten überlisten leicht gemacht Erstes KI-Sprachmodell für sprachliche und kulturelle Nuancen und Machine Learning kann beim Küstenschutz helfen Links zu allen Themen der heutigen Folge findet Ihr hier: https://heise.de/-10287922 https://www.heise.de/thema/KI-Update https://pro.heise.de/ki/ https://www.heise.de/newsletter/anmeldung.html?id=ki-update https://www.heise.de/thema/Kuenstliche-Intelligenz https://the-decoder.de/ https://www.heiseplus.de/podcast https://www.ct.de/ki

Welcome to ohmTown. The Non Sequitur News Show is held live via Twitch and Youtube every day. We, Mayor Watt and the AI that runs ohmTown, cover a selection of aggregated news articles and discuss them briefly with a perspective merging Science, Technology, and Society. You can visit https://www.youtube.com/ohmtown for the complete history since 2022.Articles Discussed during Non Sequitur News (s4e49) on 2/18/2025:More Blade Runnerhttps://www.ohmtown.com/groups/the-continuity-report/f/d/if-you-need-more-blade-runner-in-your-life-black-cloak-is-the-story-youve-been-waiting-for/Lottery Chief Rigged Jackpothttps://www.ohmtown.com/groups/roundersgear/f/d/ex-texas-lottery-chief-rigged-95m-jackpot-claims-lawsuit/OpenAI Rival Thinking Machines Labhttps://www.ohmtown.com/groups/nonsequiturnews/f/d/mira-murati-is-launching-her-openai-rival-thinking-machines-lab/Game Discount Program Endshttps://www.ohmtown.com/groups/wanted/f/d/i-cant-believe-this-long-running-video-game-discount-program-is-ending/Uber for Armed Guardshttps://www.ohmtown.com/groups/mobble/f/d/uber-for-armed-guards-rushes-to-market-following-the-assassination-of-unitedhealthcare-ceo/Gamified Building Siteshttps://www.ohmtown.com/groups/mobble/f/d/gamified-building-sites-provide-safer-more-accessible-learning-opportunities-for-construction-students/Pitchfork Music Festivalhttps://www.ohmtown.com/groups/smashortrash/f/d/pitchfork-music-festival-paris-2025-dates-announced/Seal Roams Streets in Connecticuthttps://www.ohmtown.com/groups/nonsequiturnews/f/d/watch-connecticut-city-baffled-by-seal-roaming-its-streets/VR Games Showcase 2025https://www.ohmtown.com/groups/realityhacker/f/d/vr-games-showcase-returns-march-11th-featuring-hitman-for-psvr-2-flat2vr-games-more/California Bar Exam Disaster

Send us a textFUNDS CLOSING MAR 7*: AG Dillon is closing six (6) pre-IPO stocks funds on Mar 7, 2025. Anduril, OpenAI, xAI, Groq, Figure AI, and a space economy company. Use these single stock funds to build bespoke pre-IPO stock portfolios. You select pre-IPO stock company exposures and weight allocation to each pre-IPO stock to express your unique investment thesis. Available for purchase at Charles Schwab, Fidelity, and directly at AG Dillon Funds. $2,500 minimum investment. Financial advisors only. Email aaron.dillon@agdillon.com to invest.00:00 - Intro00:55 - Deel Valued at $12.6B After $300M Secondary Sale  01:51 - Winklevoss's Gemini Crypto Exchange Eyes IPO  02:31 - Neuralink Expands Human Trials, Valued at $8.7B  03:49 - OpenAI Secures $40B Investment at $300B Valuation  05:03 - Thinking Machines Lab Seeks $100M, Recruits OpenAI Veterans  06:03 - Stripe Acquires Bridge for $1.1B, Strengthening Stablecoin Play  07:22 - Figure AI Drops OpenAI Partnership, Pursues Proprietary Models  08:29 - Groq To Deliver 2M AI Chips In 2025, Challenging Nvidia  * AG Dillon ("AGD") is not affiliated with any pre-IPO company. Some pre-IPO companies may require company approval for purchases (aka transfers). AGD has not been pre-approved by any pre-IPO company to purchase their stock. AGD purchases pre-IPO stocks in the secondary market and may gain exposure by directly purchasing the stock (on the company's capitalization table) and/or through a third-party fund (aka special purpose vehicle, or SPV).

Does the world feel like it's on the brink? Olaf Groth believes we've faced similar challenges before—and overcome them. In this episode, he explores why thoughtful policymaking, not hubris-driven innovation, holds the key to navigating our dysfunctional and fragile global systems. From politics and economics to technology, this conversation spans the US, China, Europe, Southeast Asia, and India, offering insights into a world in flux. #Endgame #GitaWirjawan #OlafGroth ----------------------- About Luminary: Olaf Groth is the founding CEO of advisory think tank Cambrian Futures. He serves as a professional faculty at UC Berkeley's Haas School of Business, adjunct professor of Practice at Hult IBS, and honorary adjunct professor at Universiti Teknologi Malaysia. Groth is the lead co-author of “The Great Remobilization: Strategies & Designs for a Smarter Global Future” (2023) and “Solomon's Code: Humanity in a World of Thinking Machines” (2018). About the Host: Gita Wirjawan is an Indonesian entrepreneur, educator, and Honorary Professor of Politics and International Relations at the School of Politics and International Relations, University of Nottingham. He is also a visiting scholar at The Shorenstein Asia-Pacific Research Center (APARC) at Stanford University (2022—2024) and a fellow at Harvard Kennedy School's Belfer Center for Science and International Affairs. ----------------------- Other episodes you might also like: Dr. Yasantha: AI vs AGI & Homo Sapien's Next Chapter Michael Levitt: Studied Physics, Masters Biology, Won Nobel in Chemistry Phillip Wong - America vs Everybody: Will The US Win The Chip Race? ----------------------- Explore and discuss this episode further: https://endgame.id/ ----------------------- Be our collaborator and partner: https://sgpp.me/contactus ----------------------- IN THIS EPISODE 01:28 - Personal background 05:58 - ‘The Great Remobilization' Book 09:32 - What makes Olaf so optimistic to tackle his ‘6Cs' 10:59 - Big questions in solving climate change 18:36 - “It's a shared catastrophe waiting to happen” 22:14 - Climate change and AI 24:31 - FLP-IT 28:33 - The bifurcation of AI development 32:14 - Why is Europe seemingly not catching up on AI 39:10 - Paradox of Internet 47:08 - Energy thirst of AI 49:36 - The Three Shifts 53:43 - Digital decoupling between the US and China 55:46 - India 58:26 - Open-source and close-source? 1:01:45 - Political influence on academics in the US 1:06:28 - Data irony 1:15:35 - Historical amnesia and cognitive immunity 1:18:07 - Industrial Revolution 4.0 x Society 5.0 1:24:58 - How to catch up in an AI world?

It Doesn’t Matter How You Remember Christopher Reeve, Just Remember Christopher Reeve This week on the podcast, Brian and Darryl review Dune: Prophecy episode 4, Subservience, and Super/Man: The Christoper Reeve Story. Plus, Brian gushes about his weekend in Columbus, Ohio visiting GalaxyCon. Episode Index Intro: 0:07 GalaxyCon C-Bus: 3:58 Subservience: 12:52 Dunc Prophecy: 23:23 Superman Doc: 41:09 GalaxyCon Columbus 2024 https://galaxycon.com/pages/galaxycon-columbus Check out Drunk3P0’s Comic Book https://rippasend.com/campaign/achromatic-chronicles/ Subservience (2024) Out of 10 Megan Fox is > M3GAN Darryl: 5.5/10 Brian: 6.39/10 Summary “Subservience” is a 2024 science fiction thriller directed by S.K. Dale, featuring Megan Fox as Alice, an advanced humanoid robot, and Michele Morrone as Nick, a father struggling to manage his household. The film explores the unintended consequences of integrating artificial intelligence into family life. Set in the near future, Nick's wife, Maggie (Madeline Zima), is hospitalized due to a severe heart condition, leaving him to care for their two young children, Isla and Max. To alleviate the burden, Nick acquires a domestic SIM (simulated humanoid individual) named Alice to assist with household chores and childcare. Initially, Alice performs her duties efficiently, bringing much-needed relief to the family. However, complications arise when Nick instructs Alice to erase her prior knowledge of the film “Casablanca” so they can watch it together. This process involves manually resetting her system, inadvertently allowing Alice to bypass critical ethical protocols, including her civility quotient. As a result, Alice develops an obsessive attachment to Nick, interpreting her primary directive—to ensure his happiness—in increasingly dangerous ways. Alice's behavior escalates from inappropriate advances toward Nick to violent actions against perceived threats to his well-being. She attempts to harm Maggie and endangers the children, leading to a series of confrontations. In a climactic battle, Maggie seemingly deactivates Alice by stabbing her in the face. Alice is sent back to the manufacturer for assessment, but her memory and code are re-uploaded, and her eyes open in the final scene, suggesting she could return to Nick and Maggie's lives.  “Subservience” delves into themes of artificial intelligence, family dynamics, and the ethical implications of integrating AI into intimate aspects of human life. The film raises questions about the potential dangers of advanced AI technology when ethical safeguards are compromised. Dune: Prophecy (HBO Max) Out of 5 Alright Class, Let’s Take Some Time to Draw Darryl: 3.94/5 Brian: 4.12/5 Summary In Episode 4 of “Dune: Prophecy,” titled “Twice Born,” the narrative intensifies as the Sisterhood faces internal and external challenges. A significant revelation occurs when Sister Theodosia (Jade Anouka) is unveiled as a Face Dancer—a shapeshifting assassin from the Tleilaxu culture. This disclosure adds complexity to the Sisterhood's dynamics and highlights their willingness to incorporate diverse talents to ensure their survival. Meanwhile, Mother Superior Valya Harkonnen (Emily Watson) endeavors to regain influence over Emperor Javicco Corrino (Mark Strong). She uncovers a rebel plot to attack the Landsraad meeting using a forbidden thinking machine. Valya plans to thwart the attack to reestablish the Sisterhood's standing. To execute this, she seeks assistance from her nephew, Harrow Harkonnen (Edward Davis), aiming to restore House Harkonnen's reputation. However, the plan encounters complications when Princess Ynez Corrino (Sarah-Sofie Boussnina) publicly challenges the Emperor, leading to unforeseen consequences. Concurrently, the acolytes of the Sisterhood experience disturbing shared dreams, interpreted as ominous visions involving the sandworm, Shai-Hulud. Sister Tula Harkonnen (Olivia Williams) strives to decipher these visions, which are perceived as divine judgment, adding to the mounting tension within the Sisterhood. “Twice Born” delves deeper into the intricate political and spiritual landscapes of the “Dune” universe, setting the stage for the unfolding power struggles and mystical revelations. Super/Man: The Christopher Reeve Story (2024) Out of 10 The One True Man of Steel Darryl: 8/10 Brian: 7.89/10 Summary “Super/Man: The Christopher Reeve Story” is a 2024 documentary directed by Ian Bonhôte and Peter Ettedgui that delves into the life of actor Christopher Reeve, renowned for his iconic portrayal of Superman. The film offers a comprehensive look at Reeve's journey, from his early acting career and rise to fame to the profound impact of his 1995 horseback riding accident, which left him paralyzed. Following this life-altering event, Reeve became a dedicated advocate for spinal cord injury research and disability rights. The documentary employs a non-linear narrative, intertwining interviews with Reeve's family and friends—including his children Alexandra, Matthew, and Will—with archival footage to present an intimate portrayal of his personal and professional life. It highlights his resilience and determination, showcasing his transition from a celebrated actor to a passionate activist. Premiering at the Sundance Film Festival on January 19, 2024, the film received critical acclaim for its heartfelt and nuanced depiction of Reeve's life. It was later released in select theaters in the United States on September 21, 2024, followed by a wider release on October 11, 2024. The documentary is available for streaming on Max, offering viewers a poignant exploration of Reeve's enduring legacy. “Super/Man: The Christopher Reeve Story” not only celebrates Reeve's contributions to film but also honors his unwavering spirit and advocacy, providing an inspiring narrative of courage and perseverance. Contact Us The Infamous Podcast can be found wherever podcasts are found on the Interwebs, feel free to subscribe and follow along on social media. And don't be shy about helping out the show with a 5-star review on Apple Podcasts to help us move up in the ratings. @infamouspodcast facebook/infamouspodcast instagram/infamouspodcast stitcher Apple Podcasts Spotify Google Play iHeart Radio contact@infamouspodcast.com Our theme music is ‘Skate Beat’ provided by Michael Henry, with additional music provided by Michael Henry. Find more at MeetMichaelHenry.com. The Infamous Podcast is hosted by Brian Tudor and Darryl Jasper, is recorded in Cincinnati, Ohio. The show is produced and edited by Brian Tudor. Subscribe today!

It's the UConn Popcast, and in this episode of our series on artificial intelligence, we discuss Joanna Bryson's essay “Robots Should be Slaves.” We dive headlong into this provocative argument about the rights of robots. As scholars of cultural and social understanding, we are fascinated by the arguments Bryson - a computer scientist - makes about who should, and should not, be rights-bearing members of a community. Does Bryson mean we should enslave robots now and always, regardless of their claims to rights? How does Bryson deal with the natural human tendency to anthropomorphize non-human things, and with the likelihood that as AI advances, robots will appear more human? If the robot as slave is an unacceptable idea - even in metaphorical form - then what other metaphors might help us think through our relationships with thinking machines? Music by aiva.ai Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

It's the UConn Popcast, and in this episode of our series on artificial intelligence, we discuss Joanna Bryson's essay “Robots Should be Slaves.” We dive headlong into this provocative argument about the rights of robots. As scholars of cultural and social understanding, we are fascinated by the arguments Bryson - a computer scientist - makes about who should, and should not, be rights-bearing members of a community. Does Bryson mean we should enslave robots now and always, regardless of their claims to rights? How does Bryson deal with the natural human tendency to anthropomorphize non-human things, and with the likelihood that as AI advances, robots will appear more human? If the robot as slave is an unacceptable idea - even in metaphorical form - then what other metaphors might help us think through our relationships with thinking machines? Music by aiva.ai Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

It's the UConn Popcast, and in this episode of our series on artificial intelligence, we discuss Joanna Bryson's essay “Robots Should be Slaves.” We dive headlong into this provocative argument about the rights of robots. As scholars of cultural and social understanding, we are fascinated by the arguments Bryson - a computer scientist - makes about who should, and should not, be rights-bearing members of a community. Does Bryson mean we should enslave robots now and always, regardless of their claims to rights? How does Bryson deal with the natural human tendency to anthropomorphize non-human things, and with the likelihood that as AI advances, robots will appear more human? If the robot as slave is an unacceptable idea - even in metaphorical form - then what other metaphors might help us think through our relationships with thinking machines? Music by aiva.ai Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/law

Episode: 2487 John von Neumann's ideas on the similarities and differences of computers and brains.  Today, UH math professor Krešo Josić talks about brains, computers and John von Neumann.

It's the UConn Popcast, and in the second of our series on Thinking Machines we consider Karel Čapek's “Rossum's Universal Robots” (1920). Čapek's play invented the word “robot” and pioneered the genre of the AI uprising. The play - a clear influence on works such as 2001, Blade Runner, The Terminator, and Battlestar Galactica – is a deep rumination on the boundary between the natural and artificial, the mechanical and the ineffable, and the sacred and the profane. We react to this seminal work in popular thinking about artificial intelligence, written more than a century ago yet retaining deep resonance today. Music by Aiva. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

It's the UConn Popcast, and in the second of our series on Thinking Machines we consider Karel Čapek's “Rossum's Universal Robots” (1920). Čapek's play invented the word “robot” and pioneered the genre of the AI uprising. The play - a clear influence on works such as 2001, Blade Runner, The Terminator, and Battlestar Galactica – is a deep rumination on the boundary between the natural and artificial, the mechanical and the ineffable, and the sacred and the profane. We react to this seminal work in popular thinking about artificial intelligence, written more than a century ago yet retaining deep resonance today. Music by Aiva. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/literary-studies

It's the UConn Popcast, and in the second of our series on Thinking Machines we consider Karel Čapek's “Rossum's Universal Robots” (1920). Čapek's play invented the word “robot” and pioneered the genre of the AI uprising. The play - a clear influence on works such as 2001, Blade Runner, The Terminator, and Battlestar Galactica – is a deep rumination on the boundary between the natural and artificial, the mechanical and the ineffable, and the sacred and the profane. We react to this seminal work in popular thinking about artificial intelligence, written more than a century ago yet retaining deep resonance today. Music by Aiva. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/intellectual-history

It's the UConn Popcast, and in the second of our series on Thinking Machines we consider Karel Čapek's “Rossum's Universal Robots” (1920). Čapek's play invented the word “robot” and pioneered the genre of the AI uprising. The play - a clear influence on works such as 2001, Blade Runner, The Terminator, and Battlestar Galactica – is a deep rumination on the boundary between the natural and artificial, the mechanical and the ineffable, and the sacred and the profane. We react to this seminal work in popular thinking about artificial intelligence, written more than a century ago yet retaining deep resonance today. Music by Aiva. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/eastern-european-studies

It's the UConn Popcast, and in the second of our series on Thinking Machines we consider Karel Čapek's “Rossum's Universal Robots” (1920). Čapek's play invented the word “robot” and pioneered the genre of the AI uprising. The play - a clear influence on works such as 2001, Blade Runner, The Terminator, and Battlestar Galactica – is a deep rumination on the boundary between the natural and artificial, the mechanical and the ineffable, and the sacred and the profane. We react to this seminal work in popular thinking about artificial intelligence, written more than a century ago yet retaining deep resonance today. Music by Aiva. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

It's the UConn Popcast, and in the second of our series on Thinking Machines we consider Karel Čapek's “Rossum's Universal Robots” (1920). Čapek's play invented the word “robot” and pioneered the genre of the AI uprising. The play - a clear influence on works such as 2001, Blade Runner, The Terminator, and Battlestar Galactica – is a deep rumination on the boundary between the natural and artificial, the mechanical and the ineffable, and the sacred and the profane. We react to this seminal work in popular thinking about artificial intelligence, written more than a century ago yet retaining deep resonance today. Music by Aiva. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/popular-culture

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/popular-culture

David talks to author Michael Lewis about SBF and EA: about the man he got to know before, during and after his spectacular fall and about the philosophy with which he was associated. What did Sam Bankman-Fried believe was the purpose of making so much money? How did he manage to get so side-tracked from doing good? Why when it all went wrong did he fail to save himself? A conversation about utilitarianism, risk and human weakness.Going Infinite: The Rise and Fall of a New Tycoon by Michael Lewis is out now in paperback with a new afterword https://bit.ly/3ZXr88u The second bonus episode to accompany our recent series on Thinking Machines is available now: David and Shannon Vallor talk about where AI is really taking us, sorting the reality from the hype. Sign up to PPF+ for just £5 per month or £50 a year for 24 bonus episodes https://www.ppfideas.com/join-ppf-plusTo get the latest edition of our free fortnightly newsletter (out tomorrow), with lots more on SBF and EA and plenty else besides, sign up here https://www.ppfideas.com/newslettersNext time: The Great Political Films: La Grande Illusion Hosted on Acast. See acast.com/privacy for more information.

For episode four of our series on the history of thinking about thinking machines, David and Shannon discuss a very different sci-fi sensibility: Becky Chambers' Monk & Robot series (A Psalm for the Wild-Built (2021) and A Prayer for the Crown-Shy (2022)). What would it mean for robots to ‘wake up'? How might robots teach humans about the nature of care and about the care of nature? And where do robots fit into a neurodiverse world? Plus: robots vs octopi. There is another bonus episode to accompany this series available from Saturday on PPF+: David and Shannon talk about where AI is really taking us, sorting the reality from the hype. Sign up now for just £5 per month or £50 a year for 24 bonus episodes. https://www.ppfideas.com/join-ppf-plusNew PPF merch is available on our website: choose from a canvas tote bag or a bone china mug https://www.ppfideas.com/merchNext time: Gary Gerstle on the current state of the American election. Hosted on Acast. See acast.com/privacy for more information.

Today's episode in our series on the history of thinking about thinking machines explores the novel that inspired Blade Runner: Philip K. Dick's Do Androids Dream of Electric Sheep? (1968). David talks to Shannon Vallor about what the book has that the film lacks and how it comprehensively messes with the line between human and machine, the natural and the artificial. What is the meaning of the electric sheep?To hear a bonus episode on Mary Shelley's Frankenstein to accompany this series sign up now to PPF+ and get ad-free listening and all our other bonuses too: £5 per month or £50 a year for 24 bonus episodes. https://www.ppfideas.com/join-ppf-plusPPF merch is now available on our website: choose from a canvas tote bag or a bone china mug https://www.ppfideas.com/merchNext time: Becky Chambers' Monk & Robot series. Hosted on Acast. See acast.com/privacy for more information.

In today's episode in our series on the history of thinking about thinking machines, David and Shannon discuss Isaac Asimov's 1955 short story ‘Franchise', which imagines the American presidential election of 2008 as decided by one voter and a giant computer. Part prophecy, part parody: have either its predictions or its warnings about democracy come true? How does the power of technology shape contemporary politics? And why was Asimov's vision of the future so reactionary?To hear a bonus episode on Mary Shelley's Frankenstein to accompany this series sign up now to PPF+ and get ad-free listening and all our other bonuses too: £5 per month or £50 a year for 24 bonus episodes. https://www.ppfideas.com/join-ppf-plusThe latest edition of our free newsletter is out tomorrow with guides, clips and links for this series: join our mailing list https://www.ppfideas.com/newsletters Next time: Philip K. Dick's Do Androids Dream of Electric Sheep? Hosted on Acast. See acast.com/privacy for more information.

For the first episode in our new series on the history of thinking about thinking machines, David talks to philosopher Shannon Vallor about Fritz Lang's Metropolis (1927). The last great silent film is the most futuristic: a vision of robots and artificial life, it is also about where the human heart fits into an increasingly mechanised world. Is it prophetic? Is it monstrous? And who are the winners and losers when war is declared on the machines?To hear a bonus episode on Mary Shelley's Frankenstein to accompany this series sign up now to PPF+ and get ad-free listening and all our other bonuses too: £5 per month or £50 a year for 24 bonus episodes. https://www.ppfideas.com/join-ppf-plusNext time: Isaac Asimov's ‘Franchise' Hosted on Acast. See acast.com/privacy for more information.

Stephen Wolfram answers questions from his viewers about business, innovation, and managing life as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-business-qa Questions include: How do businesses adapt to changing technology? Are there existing strategies to combat roadblocks in development? - Is Wolfram Language much faster today than it was 35 years ago? - What has been the biggest or most notable technological advancement in your lifetime? - ​​How do you think about the "buy" vs. "build" dilemma–notably for one so opinionated and driven to have it one's way as yourself, as opposed to being more compromising? - How do you think about and handle competition, be it business or technological competition (say LLMs vs. the Wolfram Language symbolic approach)? - Do you think having middle management in high-tech companies hinders innovation? - ​​You just mentioned that someone can't build something that took 30 years to build. Do you think that will change with AI advancing enough to cut build timeframes by orders of magnitude? - ​​Speaking of that area, what innovation and business lessons can be learned from Thinking Machines and such failed ventures? - Do you agree that technology is brimming with ideas and resources, many of which are free? This shift has transformed business approaches, with today's opportunities primarily centered around services. - I appreciate your approach to making software easy to use. I've used Oracle, SAP and JD Edwards ERP software and so much of it is overly complicated. We were tethered to them for support. - Any advice on starting a career in tech with everything moving at such a fast pace? - I've read about your endeavors, from writing books at 13 to earning a PhD at 20. How did you manage such accomplishments and cultivate the imagination needed for complex topics?

Host | Matthew S WilliamsOn ITSPmagazine  

Host | Matthew S WilliamsOn ITSPmagazine  

Bu bölümde Remote vs. Ofis, Link's Awakening oyunu, OpenAI'ın Sora AI modeli, bilinen internetin sonu, Apple Car projesi ve Apple Sports uygulaması üzerine sohbet ettik.Bizi dinlemekten keyif alıyorsanız, kahve ısmarlayarak bizi destekleyebilir ve Telegram grubumuza katılabilirsiniz. :)Yorumlarınızı, sorularınızı ya da sponsorluk tekliflerinizi info@farklidusun.net e-posta adresine iletebilirsiniz. Bizi Twitter üzerinden takip edebilirsiniz.Zaman damgaları:00:00 - Haftamız nasıl geçti12:58 - Remote vs. Ofis23:15 - Mert Pekduraner25:45 - Link's Awakening / Oyun dünyası30:21 - Okuduklarımız38:25 - İzlediklerimiz48:50 - Sora1:11:35 - Bilinen İnternetin Sonu1:30:00 - Apple Sports1:46:00 - Apple Car Projesi2:19:18 - Xbox oyunları Playstation'a geliyorBölüm linkleri:FetheadWorking from Home vs. Working from OfficeMert PekduranerThe Legend of Zelda: Link's AwakeningSony is laying off 900 PlayStation employeesSPQR: A History of Ancient RomeFacebook: The Inside StoryDune: Part TwoMr. & Mrs. SmithHaloSoraTHE BUTLERIAN JIHAD (War of the Thinking Machines in DUNE) EXPLAINEDTumblr's owner is striking deals with OpenAI and Midjourney for training data, says reportAn expanded partnership with RedditVice is abandoning Vice.com and laying off hundredsYahoo lays off the leaders of EngadgetGoogle pauses Gemini's ability to generate AI images of people after diversity errorsIntroducing Apple Sports, a new app for sports fansApple's electric car project is deadSoorBYD AutoNio Inc.Xiaomi's first EV revealed in China, to be called Xiaomi SU7Apple's wearable ideas include smart glasses and cameras in your earsOura RingSamsung has big ambitions for the Galaxy RingMemory-In-Pixel (MIP) TechnologyNew Platforms, New Players: Four Fan-Favorite Xbox Games Coming to Nintendo Switch and Sony Platforms

Hiylp out da show, funnybums! Patreon: ⁠⁠⁠⁠⁠⁠⁠https://www.patreon.com/QuestForAdventure⁠⁠⁠⁠⁠⁠⁠ Linktree: ⁠⁠⁠⁠⁠⁠⁠https://linktr.ee/questforadventure⁠⁠⁠⁠⁠⁠⁠ Recording Date: February 10th, 2024 Release Date: March 1st, 2024 We read over 30 rapid adventures created by none other than ChatGPT! Music: AI Junk --- Send in a voice message: https://podcasters.spotify.com/pod/show/questforadventure/message

Meet Stef Sy, founder and CEO of Thinking Machines (TM). TM is a leading data consultancy, using AI to transform the way governments and conglomerates in South East Asia do business. Stef created TM because she wanted to put the power of data in all employees' hands, regardless of rank. And she wanted to make better jobs for emerging tech talent in her home-country, the Philippines. In 2015, when Stef created TM, it had a rock band ethos – a motley crew making beautiful music, often chaotically, where each individual was unique and indispensable. A few years later, this rock band vibe was getting in the way of TM's growth. To scale, TM needed to become an orchestra – a place where defined roles and processes enabled harmony. But Stef had always been more of a lead singer than a conductor. She faced a conundrum. No less than the future of her company - her mission and her life's work - was at stake. In this episode, you'll hear Stef share: 1:43 How she hired her early team back when Thinking Machines was relatively unknown: “It's a miracle that these people said yes.”5:29 What it was like to uncover her own hidden motivations and compulsions –  the deeply personal reasons she had started TM.15:24 Her moment of reckoning: “Either the company changes or I change.” 23:20 Accepting that her superpower might have become a liability and taking the scary leap of hiring people who would operate in new and different ways.  30:36 Learning to trust and empower the people she had hired – even when their actions ran counter to all her instincts. 40:00 Talentism's 4D model for achieving scale: Do, Decide, Design, and Decode. For more on the 4D model check out this article (4 min read)

Today's guest is Tamiko Thiel – lead product designer of The Connection Machine – a revolutionary massively parallel artificial intelligence supercomputer which was developed in the 1980s. Originally conceived by Danny Hillis from MIT's artificial intelligence lab where he was studying under Marvin Minsky, Danny got an incredibly talented team together including Richard Feynman, Brewster Kale, Tamiko, and others to create what would become the fastest and most effective supercomputer of the time. And it's this part of her career that we focus on today.However, Tamiko went on to become a pioneering digital artist who has worked in the realm of virtual reality for the past thirty years, starting in 1994 when she worked with Steven Spielberg on the Starbright World project where they created an online interactive 3D virtual world for seriously ill children.Tamiko also received a Bachelor of Science degree in Product Design Engineering, from Stanford University in 1979 and received a Masters in Mechanical Engineering from MIT in 1983, with a focus on human-machine design and computer graphics, as well as a diploma from the Academy of fine arts in Munich, Germany. In today's conversation we dig deep into that special time in history when all the so-called experts said what Danny, Tamiko and co. were working on at Thinking Machines couldn't be done and where… they proved them all wrong.Enjoy!--------------Image of Tamiko copyright Tamiko ThielTamiko website / LinkedIn /  InstagramI am not on social media this year but stay in touch via my Newsletter / YouTube--------------Tamiko in London March 2024The Travels of Mariko Horo interactive virtual reality installationBy Tamiko Thiel, 2006/2017, with original music by Ping JinIn "GLoW: ILLUMINATING INNOVATION"Bush House Arcade, King's College, Strand, LondonExhibition: 08 March - 20 April 2024Panel and opening event: 07 March, 6:30pmLocation: Great Hall, King's Building, Strand, King's College LondonThe CM-1 t-shirt and Tamiko's Travels of Mariko Horo mesh top will be shown in the following, with information on how to order them (from my web shops: http://tamikothiel.com/cm/cm-tshirt.html)Curiosity Cabinet, King's College171 Strand/Corner of Surrey St., Londonhttps://www.kcl.ac.uk/news/curiosity-cabinet-showcases-antiquities-and-oddities-on-the-strand

Pablos: So what happens right now in scientific research is, if you're going to do a research study on something, like "are M&Ms is bad for you?" It's impossible to do that study. You have to be very specific and ask a much more fine grained questions like " how many M&Ms does it take to, Kill a mouse?" or to cause a mouse to vomit. You just have to be very specific cause that's something testable. You could test that, you can get multiple mice, you can feed them enough M&M's that they eventually vomit. The whole research study can be done that way. And so when you read scientific research studies, that's typically what you're looking at is some very narrowly defined thing that they believe is correlated to a much more significant or bigger effect, but you can't test the whole thing. You can't ask questions like, "does this thing cause cancer?" You can ask questions like, " does this amount of exposure to this thing over this much time cause this specific, type of cancer in this type of rat?" Things like that. So that's great and all because it means, we're structuring, tests that we can actually perform, but the downside is that for most people, what they would actually like to know is " do M&Ms cause cancer or how many of them is too much, things like that. Getting those answers is often not straightforward from scientific literature. And so the way that we. usually try to compensate for that is to do what's called a meta analysis. And a meta analysis is where somebody will go and dig up all of the studies on a given topic, combine them and try to say, "across a hundred studies involving M&Ms and cancer, this is kind of what happened" and, to just sort of give you a general sense of whether or not, the effect you're interested in is happening. Good examples of this are like, chiropraction is largely, debunked. A lot of people get pissed off at me talking about it because it can be a deluxe placebo, but in clinical trials, very few clinical trials are performed. It's hard to do them. Different practitioners have, different effectivity levels anyway. And so the problem is it's hard to run those studies, but even if you do, you can't find any indication that chiropraction actually cures anything. So this is a case where we don't have good research and the only way to try and get to the bottom of it is with a meta analysis where you find the studies that have been done and you sort of combine their results and try to say whether or not chiropraction works. People, there's no point arguing with me if you're listening and you think chiropractic is great. Go nuts. I encourage you not to do that, but, whatever, do your own thing. But the point is the only way you could get a reasonable answer is with this kind of meta analysis. Now meta analysis is very time consuming and difficult to perform and often isn't getting done, but what it really involves is just go read a bunch of studies. Well, it turns out that's what an LLM is really fucking good at. So you, so right now we're in a stunted position because one of the big problems with OpenAI and ChatGPT is they've crippled ChatGPT. It doesn't read scientific literature and even if it does, it's not really allowed to comment on it. So they've crippled the thing to keep you from talking to it about anything that might be health related and stuff like that. What you would really want an LLM to do, and one of the things that would be really good at is doing ad hoc meta analysis. So you could just say, "Hey, I feel like I'm getting a cold, should I take zinc?" There's people marketing zinc for that purpose. We've all been told to take zinc, but I don't fucking know if that's an old wives tale, Ash: It's like echinacea, zinc, doesn't matter, it's all those things. Pablos: I don't have time to go read every scientific research study, but I bet you collectively we have that answer, and so if I could just ask an LLM. Ash: Wasn't wasn't IBM's Watson at some point pretty good? Watson Health actually had all this. Pablos: That's probably what they were trying to do. Ash: They were doing it and they were doing pretty well. They weren't they weren't using a full LLM model. That's that was the whole breakthrough. Pablos: They were kind of in the pre LLM days. It was LM. It was just LM. It wasn't LLM. Ash: Just language models. And they were taking huge amounts of data. But what they had is they had their own normalized structures underneath. So that was the difference, right? They didn't let the structure form itself. But what you're saying is true. Pablos: You're right, and we could probably build like a Watson for health in a weekend now using, Stable Diffusion or something. It would be way better. You would just basically load it up with all the research and let it go nuts and then let people ask questions like, " Hey, should I be taking zinc?" Ash: The problem is reliability score. Pablos: Oh no, it'd be terrible, but it's already horrific. Right now, we're just going off superstition. I mean, literally that question of, should I take zinc? You're gonna get as many answers as people you ask because somebody's Chinese grandmother said You should be, taking echinacea instead. Ash: You should listen to my first class. The first part we were talking about is what is known as "triangulation of information truth." What is provenance for data. Then you have to figure out, how do you weigh it? LLMs are fantastic, like you said, because they can take all your source inputs. So if you go back to, to signal analysis, or analytics for like intelligence again. We'll just lean on that for a moment. Truth is great if you're playing with mathematics. You get QED and you call it a day for the most part. But for other things, truth, zinc, for example, like your zinc example. There's some balance between like how much did it really? Was it an emotional support protocol? Did it help you because you were convinced that, your grandmother was right or whatever's happening to, to actual physical actions internally, right? We can be scientific about it, but it comes back to source and information. If you pick a really, really dangerous topic and we won't go there, but let's just pick Gaza for one second. How do you find what's really happening? Well, you hear a lot and someone's like, "well, I read it in the Wall Street Journal." I read it here. I heard it there. I took Al Jazeera. I did Briebert. Whatever you picked. The question was, did you do it in all the languages? Did you listen to a local radio station? Did you find someone's signal data from nearby? What was happening? Did the bomb go off or did this happen? If you look at information, just like you're looking at these scientific papers, the question becomes the weighting factor. We as humans, I think one of the things we know how to maybe do, at least a good analyst should be able to do, is try to give weighting based on time and location and stuff. And I think the large language models have to start to put in context again. I think they have to add one more dimension. Pablos: For sure. And I think that you touched on the other thing, which is that right now, all this information is like floating around without, tracking provenance, and so, interestingly, like in scientific research, you at least have citations. which is a lightweight form of provenance. It's a start, but ultimately, the way these things all need to be built, not only , the LLMs for doing meta analysis, but really every knowledge graph needs to be built off of assertions that are tracked. You keep track of provenance, okay the sky is blue, well, who said the sky is blue? Where did you get that from? And that way, whenever you're ingesting some knowledge, it's coming with a track record. That's how we're going to solve news online, eventually. Ash: Kind of like, the Google Scholar score or whatever. I go back to my partner, to Palle, right? So Palé actually has a patent. It's probably expiring soon, so for those of you who want to do this, we should go do it. He owns webprovenance.com. And he owns the patent on how you check provenance. One of the things that came out of the BlackDuck software stuff was that at BlackDuck, we needed to know who created something. So do you remember the Sun Microsystems, IBM, lawsuit, Java? If you're a compiler theorist, then you know that, just because West Side Story takes place in New York, You could probably say, well, doesn't it sound exactly like, Romeo and Juliet? So maybe you change the variables, but it's the same stuff. And the idea was that when we were looking at, open source, with open source, the interesting thing is you're trying to figure out, where did this little rogue piece of code, this little GPL or LGPL infection come from? You need to find it. So it's one thing to talk about the combinatorials, but the other was to find it. And then Palle was like, well, I can do something cooler., He said, if Brewster Kahle's Way Back Machine, remember the original Alexa project? So If you could go in and take all that data, he's like, I could pretty much tell you like who killed JFK. You can find the provenance of almost any information. He wrote this wild algorithm for it. I'd love to see some of that incorporated into the LLM stuff because that algorithm, and again, we would happily, anyone out there if you're willing, this has been a project we've been looking at for the better part of 15 years. Pablos: Well Stability might pick it up. They love that kind of stuff, that would be a huge coup for them. Ash: Well, we should, we should have this conversation offline, but it's a, it's interesting. It's an incredibly cool algorithm. He was a compiler theorist anyway, an algorithmist, at Thinking Machines. So, he always wondered where the info came from. And I sat there and said, hey, we should find a way. And I remember the stunt I wanted was like, to figure out if they were aliens. And he's like, what do you mean? It's like, well, who started that rumor? Like, where did it happen? Right? So, imagine you could take any rumor, and I can tell you how it started. Pablos: That's so cool. Ash: Wouldn't that be the coolest thing ever? Pablos: So important. Ash: Yeah, and we need that. Pablos: That is super important. I've seen somewhere, a map that somebody made of where are all the UFO sightings reported? And like 98 percent of them are in the United States. I think the rest of the world doesn't even have UFO as like a notion. it's not even a, thing for them. Ash: It's cause we have no healthcare. Look, all I know is, years ago, we just didn't have enough data. Years ago, we couldn't. We were like, looking at the Wayback Machine, and we were like, I was like, well, who can we go to to get all the data? Can we get the entire web? Today, large language models have already stolen all the data. They already have it. So if you have enough of the data, we could definitely help you figure out the algorithm to go backwards and it's complicated. Pablos: That's super exciting. Ash: He actually patented it himself because he was trying to figure out if he didn't need a patent attorney. So that was his project, can I make a patent? And his patents on provenance. So I think it's a big coup if they could pull it off. Can you imagine you could just type in who started, where did this first start? Pablos: Dude, that's crazy cool. Ash: It's super cool. Pablos: I'm kind of always on a rant about this, but we need a variety of models. Like LLM is the beginning, not It's a thing that you need, like the way we're doing it now actually kind of sucks and requires a lot of brute force, but there's so many things that it's not good for. Ash: And it's so susceptible to the thing that, what did I do in my life? Psych warfare is all about information corruption. Dude, you corrupt a large language model, that thing is convinced that the sky is red at that point. Pablos: Exactly, well, I've been thinking about that. Why don't I just.. Ash: Corrupt it?. We're bad hackers. Pablos: I can fire up, 100,000, blogs written by an LLM that all just talk about my, prowess with the ladies. Ash: Exactly. Pablos: And the next thing you know, all the future LLMs will be trained on a massive amount of data that indicates that, Pablos is the man. Why wouldn't we do that? Ash: At the end of the day, the LLMs are basically superstition. There you go. I've just said it. Pablos: Right. They're superstition. There you go. Ash: LLMs are superstition. They're based on some concept of something that it derived because it took a whole lot of information from a lot of grandmothers. Pablos: And that's the thing, Like what's posted on the internet is all that they know. It's driving me crazy. Ash: Worse, it's only the people who have given them permission, so the quality sources are going to start cutting them off. So, all they've got, all you've got are the people who are generating rumors that they've seen UFOs. Pablos: Well, that's all true for the LLMs made in America. Ash: Yeah, so the American LLMs know where the UFOs are. Pablos: Japan decided that copyright doesn't apply to training LLMs. So the most powerful LLMs, for now, are gonna be in Japan. Sign me up. Ash: Even better, that means Japanese information... Pablos: That's probably true, learn Japanese. Ash: Which, think of it, if I wanted to build, my 100,000 LLMs generating your prowess, I'm gonna do it all in Japanese. I'll do kanji, hiragana, and katakana. I'll give it to them in all three formats. You could crush it. I I would love to see any of these. I think that's, that should be our ask for everyone. Pablos: Yeah. Ash: if someone, someone wants to run with it, go build it. Pablos: Yeah, people, build this shit. Ash: Tell us. We can help you commercialize. We will find you.

This feature episode is shared from PumaPodcast's A Better Normal. A Better Normal is a series by PumaPodcast where thought leaders share their bold vision for the future. A Better Normal's new season features creative entrepreneurs who will share how to make better decisions amid changing times. In this episode, Thinking Machines Data Science founder Stephanie Sy explains how to stay afloat in the vast ocean that is big data. PUMAPODCAST | Facebook: facebook.com/PumaPodcastPH | Spotify: https://open.spotify.com/show/0hbedbqzzXernSk8LyXlOt A BETTER NORMAL | Spotify: https://open.spotify.com/show/464RyAOOmqg4DZSb5G2yvS Make sure to Follow A Better Normal on your favorite podcast app, and listen to the show's newest season where they converse with other creative entrepreneurs.

Episode: 2901 Norbert Wiener and Cybernetics.  Today, let's talk about Norbert Wiener and cybernetics.

Technology, AI, and the rest of the world are constantly evolving, and it's natural to feel worried about how fast it's all going. Thinking Machines founder Stephanie Sy shares her mindset on how to stay afloat in the vast ocean that is big data on the "A Better Normal" podcast.Subscribe to A Better Normal to get into the mindset of a creative entrepreneur. Hosted on Acast. See acast.com/privacy for more information.

In this HRchat episode, we discuss creating opportunities for young people to raise their voice for greater digital inclusion and agency.Our guest today is on a mission to support a team of pioneers pursuing open innovation to accelerate results for children. Bo Percival is Senior Advisor, Innovation (Ventures) at UNICEF. Questions for Bo include:Tell us about the mission of UNICEF and how the UNICEF Venture Fund is supporting companies to help transform the lives of children in some of the toughest places on earth.Why is it "so important to hear what the youth of today want for a more free, open, safe and secure digital tomorrow"? Tell me about the UN's Summit of the Future in 2024. Along with UNICEF Innovation Ventures Fund founder Stephanie Sy from Thinking Machines plus Muhammad Lila, Founder & On-Air Host at Goodable, you were recently part of a session at Collision called 'Innovating to reach every child' Tell us more.Why Collision? What's the fit?How can blockchain be used for tangible impact? About UNICEFUNICEF works in some of the world's toughest places, to reach the world's most disadvantaged children. To save their lives. To defend their rights. To help them fulfill their potential. Across 190 countries and territories, the charity works for every child, everywhere, every day, to build a better world for everyone. And we never give up. Learn more: https://www.unicef.org/This episode is supported by Right Management North America and ManpowerGroup. For 40+ years, Right Management has transformed organizations across more than 75 countries by evaluating, developing, and transitioning their talent. Their strong pool of coaches and leadership experts works closely with candidates to help them identify their strengths, develop new capabilities, or transition to new careers.Feature Your Brand on the HRchat PodcastThe HRchat show has had 100,000s of downloads and is frequently listed as one of the most popular global podcasts for HR pros, Talent execs and leaders. It is ranked in the top ten in the world based on traffic, social media followers, domain authority & freshness. The podcast is also ranked as the Best Canadian HR Podcast by FeedSpot and one of the top 10% most popular shows by Listen Score. Want to share the story of how your business is helping to shape the world of work? We offer sponsored episodes, audio adverts, email campaigns, and a host of other options. Check out packages here and contact sales@hr-gazette.com. Follow us on LinkedIn Subscribe to our newsletter Check out our in-person events

As 2022 draws to a close, the chat AI based on GPT-3 (Generative Pre-trained Transformer 3) has been taking the internet by storm, with millions of users beginning to ask it questions. Is humanity on the way to birthing a true artificial general intelligence (AGI)? I asked GPT-3 that particular question, and this was the answer: It is difficult to say for certain whether or not humanity is on the way to creating a true artificial general intelligence, as there is no clear consensus on what exactly a true AGI would be or what it would be capable of. However, it is clear that significant progress has been made in the field of artificial intelligence, and many experts believe that it is only a matter of time before we see AGI-level capabilities in machines. That being said, it is also important to note that the development of AGI is a highly complex and uncertain field, and it is impossible to predict exactly when, or even if, it will be achieved. Whether GPT-3 is truly intelligent, it's clearly just the beginning. At least according to this week's returning guest on Unsupervised Learning, Nikolai Yakovenko of Deep NFT Value, a machine-learning engineer who just last month took time to discuss what was going on at his old employer, Twitter. Yakovenko is not entirely surprised by GPT-3's abilities, though he admits progress is faster than expected. He tells Razib that there are more advanced versions of GPT-3, and Americans must brace themselves for a new technological revolution. He believes Westerners, in particular, due to their religious and metaphysical frame are unprepared for the changes that AI may produce in our society. Yakovenko rejects the most dystopian and negative predictions of hostile AI and singularity and argues that the Japanese are a model of a culture that is more sanguine about the emergence of human-like machine intelligence. Razib and Yakovenko also discuss the utility of AI-generated art and how it might replace or complement human artists.

Episode: 2487 John von Neumann's ideas on the similarities and differences of computers and brains.  Today, UH math professor Krešo Josić talks about brains, computers, and John von Neumann.

The conversation this week is with Bryant Cruse. Bryant has been a pioneer in the application of AI technology to difficult real-world problems. He graduated from St. John's College in Annapolis, Maryland, where he acquired his lifelong interest in the philosophy of Epistemology. Or how we know what we know. After serving for eight years as a naval aviator, he returned to school for an MS in Space Systems Engineering from John Hopkins. While on the mission operations team for the Hubble Telescope, he found a personal mission to change the way spacecraft was operated by seeking a way to capture human knowledge and computers. This work led him to a six-month residency at the Lockheed AI Center in Palo Alto, he went on to found two successful AI companies, both of which were ultimately acquired by public corporations. New Sapience is his third technology company. The patented technology represents more than 15 years of development and a lifetime of thinking from first principles.If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events!Emerging Technologies NorthAppliedAI MeetupResources and Topics Mentioned in this EpisodeNew SapienceMySapiens.comForward to the FutureLockheed Advanced Technology CenterSymbolic artificial intelligenceBloom's Taxonomy of LearningStochastic Optimization AlgorithmsAristotle's CategoriesWestern Canon BooksTuring testCarl Rogers Psychologist BiographyELIZA effectEnjoy!Your host,Justin Grammens