Podcasts about turing

Aujourd'hui dans Silicon Carne, on parle de :

Neo The Home Robot: The future is here! Or is it? A new AI robot dubbed NEO has been announced but is it just an Indian guy using VR to control him. Zoom Court Fails: A cop shows up to Zoom court with no pants. Are we going to just let this happen!? Andy Richter and Adrien Skye: Andy Richter survives another night during the Halloween episode! How far can the Fandy's go!? We also get an alert that the Adrien Skye listening party is going on! THE BEAR!, FUCK YOU, WATCH THIS!, MICHAEL JACKSON!, THRILLER!, HALLOWEEN!, THIRSTY THURSDAY!, THRILLER DANCE!, ZOMBIE MJ!, MEMORIES!, FAVORITE PART!, MAKING OF VHS!, RICK BAKER!, BEHIND THE SCENES!, COREYWEEN HANG!, HOME ROBOT!, TECHNOLOGY!, NEO!, PUPPET!, REMOTELY RUN!, INDIA!, MAID!, VR HEADSET!, GOGGLES!, SCARY ACCENT!, NORWEGIAN!, ROBOT ATTACKED!, EGG CHARGER!, GAY AS HELL!, GLEB!, FIRE A GUN!, VIOLENCE!, POSSESSOR!, ADS!, REDWOOD AI!, DR ANDY SKILONAKIS!, TURING!, ZOOM COURT FAILS!, DRAG RACING!, DISORDERLY!, BLUNT!, DANCING WITH THE STARS!, ANDY!, HALLOWEEN NIGHT!, STILL ALIVE!, FOG!, DANCING!, HIDE!, FANDY!, GO HOME!, MORMON WIVES!, BABY!, DANCE!, RSV!, HOSPITAL!, HALLOWEEN!, GOTHSPEL!, CIRCUS QUEEN!, PLASTIC STANDARDS!, VAMPIRES BALLAD!, I'M DOWN!, PITTS OF HELL!, BETTER NOW!, LIVE!, CLUB!, BAR!  You can find the videos from this episode at our Discord RIGHT HERE!

Michele and David discuss the Turing test, and its relevance today. They explore various philosophical questions about intelligence, the limitations of the Turing test, and the ethical dilemmas posed by AI, particularly in the context of self-driving cars. David emphasises the vital role of human observation in the Turing test and expresses skepticism about society's ability to make responsible choices regarding AI regulation.

What if tomorrow's AI stares back with hidden inner life - and we're blind to it? Philosopher Eric Schwitzgebel shares his new thesis from AI and Consciousness (2026): an unbreakable "fog" of uncertainty means we'll build legions of disputably conscious machines before we ever know. Join Dr Eric Schwitzgebel and Dr Tevin Naidu as they unpack why consciousness detection is doomed, how mimicry fools us, and what humble action looks like in the void.Send detailed comments on the manuscript by Dec 15 to receive a signed hard-copy of AI and Consciousness + your name in print! Your voice matters. Email all comments to " eschwitz " at domain: " ucr.edu" for a copy of this paper or click this link: https://faculty.ucr.edu/~eschwitz/SchwitzAbs/AIConsciousness.htmMind. Matter. Meaning. Subscribe for philosophy that hits home. Is AI conscious yet? Debate below!

Recibimos a María Calavia y Yerai Rubio para conocer los preparativos del final de gira con La Máquina de Turing y sus nuevos retos. También suenan El Verbo Odiado (La Metamorfosis), Sara Gale Band (Go Slow), Eder Portolés (Deeply), Elena Olmos (Me Quema DIRECTO RADIO), Pablo Solans (Canciones A Medias), Copiloto (Yo No Quiero A Nadie FEAT Nat Simmons), Erin Memento (Quédate Con Mi Nombre), Trashi (Me Acuerdo De Todo), Puño Dragón (Fantasmas), Sanguijuelas Del Guadiana (100 Amapolas), Isla Kume (Niña Mía), Rey Tristeza (Espectacular DIRECTO RADIO), Los Estanques y El Canijo De Jerez (La Llave Secreta Del Bazar), Juana Everett (One Million Dollars), Ellur (The World Is Not An Oyster), Michelle David And The True Tones (Running) y Cypress Hill (Boom Biddy Bye Bye).

Egymilliárd forintért veszünk Covid-vakcinát a Modernától Úgy tűnik, tényleg munkahelyek tömegei szűnnek meg a mesterséges intelligencia miatt Az első albán MI-miniszter 83 gyermeket vár A bíróság bejegyezte az új HUN-REN Magyar Kutatási Hálózatot Kim Kardashiannal vitatkozik a NASA vezetője 170 éve ismerjük az üstököst, ami most rádiójeleket kezdett adni Magyarországon még felfutóban van a kiberbűnözés Hamarosan sokkal több korhatáros tartalom lesz a YouTube-on Sokkal kevesebb spamet és csaló emailt kapnak az androidosok, mint az iphone-osok Bekebelezheti a Netflix az HBO Max tulajdonosát Aggódhatnak a taxisok? Óriási lépésre szánta el magát az Uber A ChatGPT zsákutca? – A Turing-díjas kutató elárulta, milyen lesz az AI igazi jövője Kínai hekkerek törték fel magyar uniós diplomaták gépeit: érzékeny titkokat lophattak el, óriási a fejetlenség A további adásainkat keresd a podcast.hirstart.hu oldalunkon. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Egymilliárd forintért veszünk Covid-vakcinát a Modernától Úgy tűnik, tényleg munkahelyek tömegei szűnnek meg a mesterséges intelligencia miatt Az első albán MI-miniszter 83 gyermeket vár A bíróság bejegyezte az új HUN-REN Magyar Kutatási Hálózatot Kim Kardashiannal vitatkozik a NASA vezetője 170 éve ismerjük az üstököst, ami most rádiójeleket kezdett adni Magyarországon még felfutóban van a kiberbűnözés Hamarosan sokkal több korhatáros tartalom lesz a YouTube-on Sokkal kevesebb spamet és csaló emailt kapnak az androidosok, mint az iphone-osok Bekebelezheti a Netflix az HBO Max tulajdonosát Aggódhatnak a taxisok? Óriási lépésre szánta el magát az Uber A ChatGPT zsákutca? – A Turing-díjas kutató elárulta, milyen lesz az AI igazi jövője Kínai hekkerek törték fel magyar uniós diplomaták gépeit: érzékeny titkokat lophattak el, óriási a fejetlenség A további adásainkat keresd a podcast.hirstart.hu oldalunkon. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Lockpicks, Microsoft, CoPhish, Atlas, Turing, ForumTroll, PKD, even Kilgore Trout, the Amazing Aaran Leyland, and more on the Security Weekly News. Visit https://www.securityweekly.com/swn for all the latest episodes! Show Notes: https://securityweekly.com/swn-524

Lockpicks, Microsoft, CoPhish, Atlas, Turing, ForumTroll, PKD, even Kilgore Trout, the Amazing Aaran Leyland, and more on the Security Weekly News. Show Notes: https://securityweekly.com/swn-524

Lockpicks, Microsoft, CoPhish, Atlas, Turing, ForumTroll, PKD, even Kilgore Trout, the Amazing Aaran Leyland, and more on the Security Weekly News. Visit https://www.securityweekly.com/swn for all the latest episodes! Show Notes: https://securityweekly.com/swn-524

Lockpicks, Microsoft, CoPhish, Atlas, Turing, ForumTroll, PKD, even Kilgore Trout, the Amazing Aaran Leyland, and more on the Security Weekly News. Show Notes: https://securityweekly.com/swn-524

¿Por qué es tan extraño el 3i Atlas? Este cometa presenta una colección de anomalías, tiene una cola de material que fluye hacia el sol, es escaso de gua, libera níquel sin rastro de hierro y se ha calificado como un montón de escombros. Hoy en Pulso te guiaré por las fotos obtenidas desde Marte por la ESA, el silencio informativo de la NASA durante su paso clave, y la inquietante reserva de imágenes clasificadas hasta 2099. Además, exploraremos la hipótesis del astrofísico Avi Loeb sobre si esto podría ser un faro cósmico o un test de Turing galáctico. Acompáñeme a descifrar si este es solo el tercer visitante interestelar, o si estamos ante algo completamente novedoso que reformará nuestra comprensión del cosmos.

La machine Enigma de Turing bientôt aux enchères à Paris Les brèves du jour Les secrets de lʹair qui nous entoure Dictionnaire du sang 3/4 : leucémies, plantes, saignées et Tibet

Z rozmowy dowiecie się także jak można kwestionować argument "chińskiego pokoju" stawiany przez Johna Searle'a, kim był Yeshoua Bar-Hillel i na ile jego argumenty dotyczą ograniczeń dużych modeli językowych. Zastanawiamy się również czym jest emergencja i czy to pojęcie coś w ogóle wyjaśnia, jak również komentujemy perspektywy AGI w kontekście niedawnych głośnych wypowiedzi Richarda Suttona oraz publikowanych odkryć zespołu z Pathway. Gościem 13 odcinka "Limitów AI" jest prof. Michał Karpowicz, absolwent Politechniki Warszawskiej, gdzie w 2010 obronił z wyróżnieniem doktorat z informatyki, a w 2020 uzyskał habilitację z informatyki technicznej i telekomunikacji. Przez blisko 20 lat związany z Państwowym Instytutem Badawczym NASK, gdzie był kierownikiem Pionu Systemów Cyberbezpieczeństwa oraz Członkiem Rady Naukowej. Jako visiting professor dwukrotnie wykładał na Wydziale Matematyki MIT. Od czerwca 2024 szef Samsung AI Center Warsaw. Autor pierwszego na świecie matematycznego dowodu na nieeliminowalność tzw. halucynacji. Special Guest: prof. Michał Karpowicz.

00:48 How hunger, hormones and aggression interact in mouse brainsResearchers have uncovered the neural mechanisms that underlie an aggressive behaviour in mice prompted by hunger and hormonal state. Virgin female mice can become aggressive towards mouse pups when they are food deprived, but it seems that the relevant amounts of pregnancy hormones, oestrogen and progesterone, also played a role. By investigating the neurons involved, neuroscientists showed how hunger and hormones are integrated by the brain to lead to aggressive behaviour. This could help researchers understand more about how multiple stimuli are interpreted by the brain, something much harder to study than single stimulus effects.Research Article: Cao et al.09:35 Research HighlightsThe overlooked environmental costs of wastewater treatment facilities — plus, an ancient communal hunting system that lasted well into the eighteenth century.Research Highlight: Wastewater treatment produces surprising amounts of greenhouse gasesResearch Highlight: Andean peoples hunted and gathered long after they embraced farming11:53 What generative AI could mean for higher educationAround the world, universities and students are scrambling to adapt to the use of generative AI tools such as ChatGPT. And while there is optimism that these tools could improve education, there are also concerns about the ways they could stifle independent, critical thought. We hear about the studies trying to unpick the potential impact of this new technology.News Feature: Universities are embracing AI: will students get smarter or stop thinking?21:26 Briefing ChatA blood test for Alzheimer's, and what should be the next ‘test' for AI after the Turing test?Nature: Blood tests are now approved for Alzheimer's: how accurate are they?Nature: AI language models killed the Turing test: do we even need a replacement?Subscribe to Nature Briefing, an unmissable daily round-up of science news, opinion and analysis free in your inbox every weekday. Hosted on Acast. See acast.com/privacy for more information.

Dr. Neil deGrasse Tyson is an astrophysicist, author, and science communicator known for making complex cosmic concepts accessible to the public. He serves as the director of the Hayden Planetarium at the American Museum of Natural History in New York City. Through his books, television appearances, and the podcast StarTalk, Dr. Tyson inspires curiosity about the universe and promotes scientific literacy worldwide. His engaging storytelling and wit have made him one of the most recognizable voices in modern science.In our conversation we discuss:(01:08) Mysteries that keep Neil deGrasse Tyson up at night(03:47) How scientists learn to ask the right questions(07:14) Philosophy's role and value in modern science(10:43) Why philosophers stopped influencing physical sciences(12:54) Misinterpretations of Neil's comments on philosophy(17:03) Becoming famous and public accountability(21:07) How scientists stay connected and exchange ideas(24:51) Choosing between teaching, science, and public outreach(28:14) Current research interests and unsolved astrophysics questions(30:43) Impact of private space travel on science(35:16) Relationship between science, politics, and the military(36:30) Why Elon Musk won't reach Mars first(37:49) Future of space tourism and affordability(41:00) Expanding human presence across the solar system(47:35) Genetic engineering, ethics, and human evolution(49:27) Global cooperation and genetic regulation challenges(52:29) Human–AI integration and Neuralink skepticism(55:01) Future of robots and human labor(58:07) Early AI history and the Turing test(1:02:21) Skills young people need in the AI era(1:04:09) Teaching curiosity and lifelong learning(1:07:04) How Neil developed communication and teaching skills(1:09:37) Creating meaning and purpose in life(1:11:01) How Neil wants to be remembered(1:12:53) StarTalk, books, and inspiring public curiosityLearn more about Dr. Neil:https://en.wikipedia.org/wiki/Neil_deGrasse_TysonWatch full episodes on: https://www.youtube.com/@seankimConnect on IG: https://instagram.com/heyseankim

Most organizations approaching AI are struggling and running pilot projects that go nowhere. The common assumption is that the technology itself is flawed, over hyped, or too complex. However, the employers that are succeeding with AI have discovered something different. The technology isn't the problem, and the real barriers are human. Employee resistance, fear about job security, and the inertia of doing things the way they've always been done. What makes the difference between AI projects that fail and those that transform how teams actually work? My guest this week is Taylor Bradley, VP Talent Strategy & Success at Turing. In our conversation, Taylor shares how he built grassroots adoption in his team by starting with simple prompt libraries, the framework for deciding what should be automated, what should be augmented, and what should be left to humans, and why every AI project is really a human change management project in disguise.. In the interview, we discuss: Unlocking AI's full potential The most significant challenges when implementing AI in HR and TA Why AI pilots fail AI projects are actually human change management projects The inertia of the status quo Talent use cases When to augment and when to automate Breaking down roles into tasks Surprising measures of success How HR and TA roles need to evolve Considering adverse impacts What will the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Die Künstliche Intelligenz beeindruckt inzwischen Milliarden Menschen rund um den Globus. Große KI-Sprachmodelle können vielseitig Fragen beantworten und Texte verfassen auch zu komplizierten Themen und in nahezu allen erdenklichen Formaten und Stilen. Zugleich tobt eine Diskussion darüber, was der richtige Weg ist, um Computer den Fähigkeiten des Gehirns weiter anzunähern. Müssen die Modelle einfach nur größer werden? Oder braucht es mehr? Wir wollen angesichts dessen wieder einmal umfassender auf diese Technologie blicken. Wie kam es eigentlich, dass die Menschen angefangen haben, überhaupt zu glauben, dass ihre Intelligenz künstlich nachbaubar ist? Der an der TU Darmstadt forschende Kognitionswissenschaftler Frank Jäkel arbeitet an einer spannenden Schnittstelle: Er erforscht, wie Menschen Probleme lösen und versucht, das in Software nachzubilden. Er weiß also, wie Menschen lernen und sich verhalten - und wie Computer Informationen verarbeiten können. Mit ihm sprechen wir über René Décartes, Alan Turing, Joseph Weizenbaum, die KI-Gründungskonferenz in den fünfziger Jahren. Er sagt, was Intelligenz überhaupt ist, was einen Computer von einer Maschine unterscheidet, was Denken ist und wie wir Menschen lernen. Ein Ergebnis: Wir lernen auf vielen Wegen und in vielen Formen - das maschinelle Lernen der KI-Modelle bildet nur einen kleinen Teil davon ab. Gleichwohl sind die Modelle immer besser. Wo also endet das? Auch auf diese Frage versuchen wir eine Antwort zu finden. Hören Sie unsere exklusiven Podcast-Folgen auf Apple Podcasts, FAZ.NET oder in der FAZ-App und erhalten Sie Zugriff auf alle Artikel: Testen Sie FAZ+ jetzt 3 Monate lang für nur 1 € im Monat – [hier geht's zum Angebot.](https://digitale-angebote.faz.net/start?campID=SONDER-ECa2500004185&product=O_JHOICT71N1B3CAU514) Mehr über die Angebote unserer Werbepartner finden Sie [HIER.](https://cmk.faz.net/cms/articles/15603/anzeige/podcast-werbepartnerinnen/hier-gibt-s-weitere-infos-zu-den-angeboten-unserer-werbepartner-innen)

AI therapists and caregivers. Digital tutors and advisors and friends. Artificial lovers. Griefbots trained to imitate dead loved ones. Welcome, to the bustling world of AI-powered chatbots. This was once the stuff of science fiction, but it's becoming just the stuff of everyday life. What will these systems do to our society, to our relationships, to our social skills and motivations? Are these bots destined to leave us hollowed out, socially stunted, screen-addicted, and wary of good-old-fashioned, in-the-flesh human interaction? Or could they actually be harnessed for good? My guest today is Dr. Henry Shevlin. Henry is a philosopher and AI ethicist at the Leverhulme Centre for the Future of Intelligence (CFI) at Cambridge University. In a series of recent papers, Henry has been exploring this brave new world of "social AI" and its philosophical, ethical, and psychological dimensions. Here, Henry and I sketch the current landscape of social AI—from dedicated platforms like Replika and CharacterAI to the more subtly social uses of ChatGPT and Claude. We consider several tragic cases that have recently rocketed these kinds of services into public awareness. We talk about what's changed about AI systems—quite recently—that's now made them capable of sustained relationships. We linger on the possible risks of social AI and, perhaps less obviously, on the possible benefits. And we consider the prospects for regulation. Along the way, Henry and I also talk about his 81-year-old father, his teenage self, and, of course, the kids these days; we consider whether social AI, in its potential harms, is more like social media or more like violent video games; we talk about "deskilling" and it's opposite "upskilling"; and we of course take stock of a certain elephant in the room. Alright friends, this is a fun one. We've been wanting to explore this dawning age of social AI for some time. And we finally found, in Henry, the right person to do it with. Enjoy!   Notes 3:00 – The piece in The Guardian—'It's time to prepare for AI personhood'—by Jacy Reece Anthis. 5:00 – The Replika subreddit.  9:30 – News coverage of recent research on the bedside manner of AI systems. 10:30 – For a recent paper on AI by the philosopher Ophelia Deroy, see here. 11:30 – For some of Dr. Shevlin's recent writing about "social AI", see here and here. 13:30 – OpenAI's recent report, 'How People Use ChatGPT'. 16:30 – For examples of popular media coverage of recent (tragic) cases involving chatbots, see here, here, here, and here. 21:00 – The paper by Rose Guingrich and Michael Graziano on how users describe their relationships with chatbots. 24:00 – The precise quote by Mark Twain is: “Nothing so needs reforming as other people's habits.” 25:30 – The classic paper on Mary's room by Frank Jackson. 27:00 – Dr. Shevlin has also worked on questions about animal minds (e.g., here), as well as a number of issues in AI beyond “social AI” (e.g., here, here). 30:00 – The classic essay by Isaiah Berlin on hedgehogs and foxes. 32:00 – The classic paper on ELIZA, introduced by Joseph Weizenbaum in 1966. A version of ELIZA that you can interact with. For work by Sherry Turkle, see here. 34:00 – Dr. Shevlin's recent paper about the “anthropomimetic turn” in contemporary AI. 41:00 – For recent work on whether current chatbots pass a version of the Turing test, see here.  45:00 – Ted Chiang's story, ‘The Lifecycle of Software Objects,' was re-published as part his collection of short fiction, Exhalation. 46:00 – For Dr. Shevlin's recent writing on machine consciousness, see here. 48:00 – For more on the possibility of consciousness in borderline cases (like AI systems), see our past episodes here and here. 52:00 – The study on whether people attribute consciousness to LLMs. 54:30 – A recent paper on griefbots by scholars at the University of Cambridge. A popular article about the phenomenon. 55:30 – A blogpost describing the so-called DigiDan experiment. 1:00:00 – Some of the potentially positive social qualities of AIs are discussed in this essay by Paul Bloom.  1:19:30 – For more on Iain Banks' culture series, see here. 1:20:30 – A popular article on the phenomenon of hikikomori.   Recommendations The Oxford Intersections: AI in Society collection The new podcast, Our Lives with Bots   Many Minds is a project of the Diverse Intelligences Summer Institute, which is made possible by a generous grant from the John Templeton Foundation to Indiana University. The show is hosted and produced by Kensy Cooperrider, with help from Assistant Producer Urte Laukaityte and with creative support from DISI Directors Erica Cartmill and Jacob Foster. Our artwork is by Ben Oldroyd. Subscribe to Many Minds on Apple, Stitcher, Spotify, Pocket Casts, Google Play, or wherever you listen to podcasts. You can also now subscribe to the Many Minds newsletter here! We welcome your comments, questions, and suggestions. Feel free to email us at: manymindspodcast@gmail.com. For updates about the show, visit our website or follow us on Bluesky (@manymindspod.bsky.social).

This episode is the intro to a special project by The AI Fundamentalists' hosts and friends. We hope you're ready for a metaphysics mini‑series to explore what thinking and reasoning really mean and how those definitions should shape AI research. Join us for thought-provoking discussions as we tackle basic questions: What is metaphysics and its relevance to AI? What constitutes reality? What defines thinking? How do we understand time? And perhaps most importantly, should AI systems attempt to "think," or are we approaching the entire concept incorrectly? Show notes:• Why metaphysics matters for AI foundations• Definitions of thinking from peers and what they imply• Mixture‑of‑experts, ranking, and the illusion of reasoning• Turing test limits versus deliberation and causality• Towers of Hanoi, agentic workflows, and brittle stepwise reasoning• Math, context, and multi‑component system failures• Proposed plan for the series and areas to explore• Invitation for resources, critiques, and future guestsWe hope you enjoy this philosophical journey to examine the intersection of ancient philosophical questions and cutting-edge technology.What did you think? Let us know.Do you have a question or a discussion topic for the AI Fundamentalists? Connect with them to comment on your favorite topics: LinkedIn - Episode summaries, shares of cited articles, and more. YouTube - Was it something that we said? Good. Share your favorite quotes. Visit our page - see past episodes and submit your feedback! It continues to inspire future episodes.

On this episode, host Robert J. Marks concludes his conversation with Dr. Georgios Mappouras about his new and interesting paper “Turing Test 2.0: The General Intelligence Threshold.” Here, Mappouras contrasts his newly proposed Turing test with the Lovelace Test, proposed by Selmer Bringsjord of Rensselaer Polytechnic, which says that “Computers will be creative if and when their output is beyond Read More › Source

Alan Turing était un scientifique unique en son genre. Un visionnaire dont le talent et la force ont notamment permis d'écourter la Seconde Guerre mondiale d'au moins 2 ans ! Pourtant considéré comme le père de l'informatique et de l'intelligence artificielle, ce savant n'a eu une aucune récompense de son vivant. Pire, personne ne connaît son nom, ce qui est le revers de la médaille des agents secrets. Turing a travaillé une bonne partie de sa vie dans la plus complète confidentialité au sein du MI6, les services secrets anglais... Venez découvrir l'histoire de ce héros, geek visionnaire, qui a pensé le 21ème siècle avant tout le monde. Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Ashu Garg has backed companies like Databricks, Turing, Cohesity, Jasper, and Eightfold.ai as General Partner at Foundation Capital. Over the years, he's seen multiple waves of innovation but in his words, nothing in the last 45 years comes close to the transformation AI is bringing right now.Ashu discusses how the next wave of AI products will be driven by combining reasoning with reinforcement learning, and cautions every startup building on top of foundation models: that their vendors will also be their competitors.He also talks about how agents are moving from simple copilots to autonomous workers, how the internet itself will have to be reinvented for an agentic world, and what happens when your agent can not only draft emails but also buy plane tickets or make payments on your behalf.We also get into the realities of building AI companies today: why your competitor isn't GPT-5 but GPT-7, where startups can actually outcompete big tech, whether geography still matters, and how relationships and access still shape outcomes in an age that feels completely digital.This is one of the most insightful conversations you'll hear on what it takes to build durable AI companies in this era and where the next generation of billion-dollar startups will come from.0:00- Trailer0:42 – Foundation models as biggest competitor of AI startups4:19 – Agents are visible; reasoning is underneath6:20 – The leap of AI from autonomous to automation9:27 – Why the internet must be reinvented for AI10:49 – What if agents act (and do payments) on your behalf? 13:06 – Is Ashu using agents for himself?13:54 – No tech shift in 45 years compares to today15:38 – Who is accountable for what your agent does?17:57 – Who has advantage: first-time or repeat founders?19:27 – Does geography matter for founders anymore?21:19 – Whose AI will become the user's default?25:44 – Where do startups have an edge in AI?28:25 – How can startups outdo their model providers31:21 – Does distribution still matter in the Agentic era?33:29 – Why experience and access will always matter35:36 – Startups today must compete with GPT-7, not GPT-537:09 – Why Dollars on talent poaching in AI makes sense42:20 – Are only 1,000 people at AI's cutting edge?43:32 – What does Ashu garg look for in a founder?45:15 – How to build more billion-dollar companies?-------------India's talent has built the world's tech—now it's time to lead it.This mission goes beyond startups. It's about shifting the center of gravity in global tech to include the brilliance rising from India.What is Neon Fund?We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that's done it before.Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we're doing it all at Neon.-------------Check us out on:Website: https://neon.fund/Instagram: https://www.instagram.com/theneonshoww/LinkedIn: https://www.linkedin.com/company/beneon/Twitter: https://x.com/TheNeonShowwConnect with Siddhartha on:LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/Twitter: https://x.com/siddharthaa7-------------This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.Send us a text

Workday CTO Peter Bailis talks with TITV Host Akash Pasricha about the company's $1.1 billion acquisition of Sana and their broader AI strategy. We also talk with The Information's Stephanie Palazzolo and Turing's Jonathan Siddharth about how labs are using "reinforcement learning gyms" to train AI models, and we get into the new era of consumer crypto and on-chain identity with Ty Haney of Try Your Best and Dave Morin from Offline Ventures. Lastly, we get an inside look at the IPO market with The Information's Katie Roof and Industry Ventures' Hans Swildens.Articles discussed on this episode: https://www.theinformation.com/articles/ventures-limited-partners-see-lifeline-ipo-wavehttps://www.theinformation.com/articles/anthropic-openai-developing-ai-co-workersTITV airs on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Subscribe to: - The Information on YouTube: https://www.youtube.com/@theinformation4080/?sub_confirmation=1- The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agenda

My guest today is Jonathan Siddharth, co-founder and CEO of Turing.Jonathan incubated Turing in Foundation Capital's Palo Alto office in 2018. Since then, it has grown into a multi-billion dollar company that powers nearly every frontier AI lab: OpenAI, Anthropic, Google, Meta, Microsoft, and others. If you've seen a breakthrough in how AI reasons or codes, odds are Turing had a hand in it.Jonathan has a provocative thesis: within three years, every white-collar job, including the CEO's, will be automated. In this episode, we talk about what it will take to reach artificial superintelligence, why this goal matters, and how the agentic era will fundamentally reshape work. We also dig into his founder journey: what he learned from his first startup Rover, how he built Turing from day one, and how his leadership style has evolved to emphasize speed, intensity, and staying in the details.Jonathan has been at the edge of AI for years, and he has the rare ability to translate what's happening at the frontier into lessons for builders today.Hope you enjoy the conversation! Chapters: 00:00 Cold open00:02:06 Jonathan's backstory: his experience at Stanford00:06:37 Lessons from Rover00:08:39 Early Turing: incubation at Foundation Capital and finding PMF00:13:52 Why Turing took off00:15:12 Evolving from developer cloud to AGI partner for frontier labs00:16:49 How coding improved reasoning - and why Turing became essential00:20:38 Founder lessons: building org speed and intensity00:23:33 Why work-life balance is a false dichotomy00:24:17 Daily standups, flat orgs, and Formula One culture00:25:15 Confrontational energy and Frank Slootman's influence00:29:50 Positioning Turing as “Switzerland” in the AI arms race00:34:32 The four pillars of superintelligence: multimodality, reasoning, tool use, coding00:37:39 From copilots to agents: the 100x improvement00:40:00 Why enterprise hasn't had its “ChatGPT moment” yet00:43:09 Jonathan's thoughts on RL gyms, algorithmic techniques, and evals00:46:32 The blurring line between model providers and AI apps00:47:35 Why defensibility depends on proprietary data and evals00:55:20 RL gyms: how enterprises train agents in simulated environments00:57:39 Underhyped: $30T of white-collar work will be automated

¿Quién decide primero: tú o tu mente? ¿Y qué nos diferencia realmente de la inteligencia artificial que no deja de avanzar? En esta conversación con Alberto, partimos del test de Turing para abrir una pregunta mayor: la consciencia. A partir de ahí, nos detenemos en ese microinstante entre impulso y respuesta y exploramos cómo cultivar una actitud de humildad radical para pasar del impulso al diálogo; del “tengo razón” al escuchar de verdad. Deseo que esta conversación te ayude a habitar el instante entre estímulo y respuesta, a recuperar el control y a recordar lo esencial de lo humano en tiempos de IA.

Crime and Punishment by Fyodor Dostoyevsky - Part 5 chapter 3, narrated by Isaac BirchallSubscribe on YT or Join the Book Club on Patreon and support me as an independent creator :Dhttps://ko-fi.com/theessentialreadshttps://www.youtube.com/channel/UCfOFfvo05ElM96CmfsGsu3g/joinhttps://open.spotify.com/show/13b1qP3WhCWxam9yc49vIF?si=3b8907ab0f1045af SUMMARY: Luzhin insulting brushes Katerina Ivanovna aside as she seeks protection from the Landlady. Turing to Sonya, he accuses her of stealing a 100 Ruble note. Sonya denies the theft. Katerina Ivanovna is disgusted by the insult at her stepdaughter and starts raving at Luzhin and the Landlady. To prove Sonya's innocence, Katerina Ivanovna, asks her to turn out her pockets and is stunned when a 100 ruble note falls to the floor. Luzhin magnanimously agrees not to press charges against the girl, but to Luzhin's horror, Lebezyatnikov steps forwards and declares that he saw Luzhin plant the note in Sonya's pocket. Raskolnikov then steps forward and explains that Luzhin was probably looking to embarrass him for his relations with Sonya. Luzhin, plans foiled, tries to leave the apartment and maintain his innocence while insulting Raskolnikov and Lebezatnikov. After Luzhin leaves, the fight between Katerina Ivanovna and her Landlady continues, ending in the eviction of the Marmeladov family. SEO Stuff that I don't want to do lol...Welcome to this narration of Fyodor Dostoyevsky's masterpiece, bringing you another chapter of this incredible literary classic. In this literary fiction reading, we explore the depths of Russian literature as the a desperate young Russian man, Raskolnikov, plans the perfect crime - the murder of a despicable pawnbroker, an old woman who no one will mourn. It isn't just, he argues, for a man of of genius to commit a crime if it will ultimately benefit humanity. A powerful psychological study and a terrifying, thrilling murder mystery, filled with philosophical, religious and social commentary.Join me for this Crime and Punishment novel audiobook as we delve into themes of crime, social commentary, and Right and Wrong.Russian Literature, Dostoyevsky Audiobook, Classic Literature

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Today's guest is Kelly Dempski, Head of Solutions for Banking, Financial Services, and Insurance (BFSI) at Turing. Turing is one of the world's fastest-growing Artificial Intelligence companies, working with the world's leading AI labs to advance frontier model capabilities and leveraging that work to build real-world AI systems that help businesses solve their toughest problems — delivering real business results, faster, smarter, and at scale. Kelly is a seasoned technology executive and innovator at Turing, where he leads the development of disruptive, business-focused Artificial Intelligence solutions for financial services clients. Over a 30-year career, he has held Managing Director roles at Accenture, Citi, and JPMorgan Chase, as well as working with smaller start-ups. In each role, he has developed solutions that leverage the latest technologies to solve real business problems. As AI becomes increasingly essential to the financial services industry, Kelly offers a grounded perspective on what really makes or breaks enterprise adoption. He explains that the greatest challenges aren't always in the AI models themselves — but in how they connect to legacy systems, regulatory requirements, and fragmented data environments. From document intelligence to client onboarding, Kelly explores the use cases where AI is already delivering measurable value — and how firms can scale that value by starting small and building momentum. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business' podcast! This episode is sponsored by Turing. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Do Democrats and Republicans really misunderstand each other as much as we think?This week, we dive into a surprising new experiment that puts that idea to the test — literally. Psychologist and researcher Adam Mastriani created a kind of “political Turing test,” asking people to write persuasive statements from the perspective of the opposite political party. Then, he tested whether others could tell the real from the fake. The results? Most people couldn't.We unpack what this means for our understanding of polarization, partisan animosity, and political identity. Is the problem really misunderstanding — or something deeper? Are partisans more empathetic than we give them credit for? Or are they just really good at writing what they think others want to hear?We also explore the experiment's implications for political science research, theory-building, and the broader sociology of science.

Today's guests are Dwight Hill, Vice President of Retail & Consumer Products at Turing, and Joe Troy, Senior Manager of Site Risk at Amazon. Turing is one of the world's fastest-growing Artificial Intelligence companies, working with the world's leading AI labs to advance frontier model capabilities and leveraging that work to build real-world AI systems that help businesses solve their toughest problems —delivering real business results, faster, smarter, and at scale. Joe and Dwight join Emerj Editorial Director Matthew DeMello to examine how generative AI is delivering measurable value in retail, starting with loss prevention and expanding across store operations, marketing, and workforce strategy. Throughout the episode, Joe shares how AI-powered video analysis and behavioral intelligence tools are helping risk teams surface anomalies faster, reduce investigation time, and prevent insider threats. In turn, Dwight discusses how retailers are using GenAI to optimize pricing, personalize customer experiences, and streamline marketing campaigns — emphasizing the importance of unified data and human-in-the-loop execution. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business' podcast! This episode is sponsored by Turing. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Photo by Pete Godfrey on Unsplash Published 4 August 2025 e523 with Michael R and Andy, possibly arriving via carefully-arranged starlings? – stories about AI again, obviously; iPadOS 26; games, old and new; and, an innovative method of data transfer. Andy and Michael R are back together this week, while Michael M takes a turn being away! We kick off with some AI-related topics, with ChatGPT successfully passing the anti-bot Turing test, CAPTCHA, and then some discussion of AI tools being allowed in Meta's hiring process. Could the North Koreans be on their way? Seamlessly gliding (almost like... liquid glass), there's a discussion of iPadOS 26 public beta, and all the window-y goodness that's coming to all in September. Under the heading of games topics, the hosts cover a number of links, including the existential crisis experienced by games characters in a Matrix game, an incredible clay animated music video that revisits the 1980s and 1990s, and then, a brand new game all about the life of... a fly. Yes, a fly. The last segment covers a different kind of flying creature, and looks at the potential for birds to become digital data carriers. Well, starlings anyway. Are you switching to bird tech any time soon? Have your bots drop our bots a line on Mastodon at @gamesatwork_biz and let us know what you're reading and what you're thinking about! These show notes were lovingly hand crafted by a real human, and not by a bot.  All rights reserved.  That's our story and we're sticking to it. Selected Links AI Ars Technica on ChatGPT's Casual Clicking - https://arstechnica.com/information-technology/2025/07/openais-chatgpt-agent-casually-clicks-through-i-am-not-a-robot-verification-test/ 404Media on Meta job interviews - https://www.404media.co/meta-is-going-to-let-job-candidates-use-ai-during-coding-tests/ BBC: US woman gets 8-year sentence for stealing identities to give North Koreans jobs https://www.bbc.co.uk/news/articles/cm2l2yn5zmxo https://ultracode.ai/ Apple iPadOS 26 public beta - https://sixcolors.com/post/2025/07/first-look-ipados-26-public-beta/ Gaming Characters panic inside Matrix game - https://futurism.com/demo-video-game-characters-panic-code-matrix Music video GUNSHIP - Tech Noir 2 - https://www.youtube.com/watch?v=KlUJTtBphb0 Time Flies game - https://timeflies.buzz Birds! Yes, birds! (can we pretend this is a Maker section?) Full video - storing PNGs in birds - https://www.youtube.com/watch?v=hCQCP-5g5bo Tom's Hardware coverage - https://www.tomshardware.com/pc-components/storage/yes-you-can-store-data-on-a-bird-enthusiast-converts-png-to-bird-shaped-waveform-teaches-young-starling-to-recall-file-at-up-to-2mb-s

This week, Jesse and I are back in Drag Race Philippines.We talked about Lady Morgana, the icon that this woman is, some silly mini challenges, the downfall of Turing in the competition, a suspicious pit crew member, chicken continuity, the beauty pageant, and the snatch game.This segment of the season has been incredible! Jer is quickly falling in love with this series.Who will have our favorite looks from each episode? Who do we think deserved wins and maybe should have lipsanc in certain episodes?Twitch

Today's show:Alex is back with three more awesome interviews with founders on the bleeding edge of innovative tech.Dr. Hon Weng Chong walks us through the basics of biological computing and Cortical Labs' first-ever commercial computer running on living human cells.Turing founder Jonathan Siddarth unpacks the secrets of LLM benchmarking, and explains why even our most advanced tests need to get much much harder right away.Finally, Mercor founder Brendan Foody on how AI is about to reinvent the hiring process, and marrying the effectiveness of recruiters with the ease of online job boards.It's three — count 'em, three — can't miss TWiST interviews guaranteed to make you smarterTimestamps:(0:00) OpenAI's GPT-5: When is it coming out? Is it going to be TOO smart?(08:06) Cortical Labs' Hon Weng Chong on the electric connection between neuroscience and machine learning(10:20) Northwest Registered Agent. Form your entire business identity in just 10 clicks and 10 minutes. Get more privacy, more options, and more done—visit https://www.northwestregisteredagent.com/twist today!(11:27) Show Continues…(15:17) The extreme difficulty of going from the lab to a shippable product(20:00) .TECH: Say it without saying it. Head to www.get.tech/twist or your favorite registrar to get a clean, sharp .tech domain today.(21:05) Show Continues…(28:15) Why data is a factor of time(29:52) AWS Activate - AWS Activate helps startups bring their ideas to life. Apply to AWS Activate today to learn more. Visit aws.amazon.com/startups/credits(31:16) Show Continues…(42:44) Turing CEO Jonathan Siddarth explains why it's so important to keep benchmarking our LLMs(47:24) What it means when a model “saturates” a test, and why benchmarks need to get HARDER(50:22) What happens with the LLMs can answer all of our smartest questions?(53:44) AI Agents train in gyms? Wait, really?(01:01:33) Coding teaches models how to think, and more training mysteries don't understand(01:03:11) Brendan Foody from Mercor explains the “matching problem” that makes hiring such a pain(01:07:02) How Mercor combines a job board's distribution with the value of a recruitment agency(01:10:49) Brendan recalls building his first AI interviewer in his college dorm(01:20:16) Mercor has the opposite of a retention problem and crazy growthSubscribe 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/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:(10:20) Northwest Registered Agent. Form your entire business identity in just 10 clicks and 10 minutes. Get more privacy, more options, and more done—visit https://www.northwestregisteredagent.com/twist today!(20:00) .TECH: Say it without saying it. Head to www.get.tech/twist or your favorite registrar to get a clean, sharp .tech domain today.(29:52) AWS Activate - AWS Activate helps startups bring their ideas to life. Apply to AWS Activate today to learn more. Visit aws.amazon.com/startups/creditsGreat 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

What if I told you someone managed to run Doom inside TypeScript's type system? Sounds insane, right? That's exactly what our guest Dimitri Mitropoulos did—and in this episode, we dive deep into the how, the why, and the mind-bending implications of this ambitious project. From type-level programming to the philosophical limits of Turing completeness, this is an episode that pushes the boundaries of what you thought was possible in JavaScript.We talk about how the TypeScript type system evolved to become Turing-complete, how Dimitri pulled off this seemingly impossible feat, and why “Doom-complete” might just be the new gold standard for computational capability. Along the way, we touch on functional programming, generics, recursion, and even some Lambda Calculus. It's part computer science theory, part coding madness, and 100% geeky goodness.Episode Highlights[3:05] – Dimitri explains how a simple thought experiment turned into a year-and-a-half-long obsession[8:40] – The origins and significance of Turing completeness in type systems[14:15] – Why running Doom in TypeScript is more about proving limits than just showing off[19:55] – What it means to run programs inside the type system vs. TypeScript code itself[27:10] – ASCII art as output, functional recursion for game state, and hover-over frames in your editor[35:30] – How ignorance, determination, and obsession fueled the completion of the project[45:20] – Personal insights: balancing family, burnout, and passion while chasing an impossible dreamLinks & ResourcesDimitri MitropoulosMichigan TypeScript YouTube Channel – Dimitri's channel featuring the projectType Challenges by Anthony Fu – Advanced TypeScript exercisesSquiggleConf – The TypeScript-focused conference Dimitri co-foundedJosh Goldberg – TypeScript expert and co-organizer of SquiggleConfBecome a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

Dani Vee chats to Nick Croydon, debut author of The Turing Protocol and CEO of QBD Books. They talk about his passion for history, maths and fiction, and how to balance historical facts and fiction. They discuss the 'what if' factor and how this idea could impact the world. Themes of moral ambiguity during wartime is explored, as well as the social issues of the time. Nick tells Dani about what he's learnt about writing and the book industry as CEO of QBD, and the answer on everyone's mind, is the book finally dead? Nick's steadfast belief in the book industry and our need for storytelling is a refreshing take on the current climate of low literacy rates. It's all about the resilience of the book! 'Great questions. A beautiful interview.' Nick Croydon.

Version « remasterisée » d'un épisode de 2017 qui fait un portrait d'Alan Turing et qui aborde les enjeux des machines de Turing

Jim talks with Lee Cronin about Chemify, his startup that aims to automate chemistry through "chemifarms" that turn code into molecules. They discuss Chemify as an AWS for chemistry, the development of a chemical programming language & its evolution to Turing completeness, quantum vs classical chemistry computation, open source tools & academic access, robotics & automation in chemistry, catalyst discovery & optimization, integration with tools like AlphaFold, business models, venture capital funding, supply chain implications, distributed manufacturing, personalized medicine possibilities, and much more. Episode Transcript Currents 100: Sara Walker and Lee Cronin on Time as an Object Chemify Lee Cronin is a chemist. He is the Regius Professor of Chemistry at the University of Glasgow and the Founder & CEO of Chemify. He is known for his approach to the digitization of chemistry and developing digital-to-chemical transformation known as Chemputing which can turn code into reactions and molecules. He has also developed a new theory for evolution and selection called assembly theory which aims to quantify and explain how selection can occur in chemistry before biology. Lee is also exploring how chemical systems can compute, and what is needed for the evolution of intelligence, as well as designing a new type of computational system that uses information encoded in chemical reactions and molecules.

The depths to which our country's leadership has sunk is astounding. Now, we come to find the Secretary of Defense has pulled a Trump-appointed, Senate-approved Admiral who was about to take command of the 7th Fleet. He is a beloved leader, roundly thought to be best leader in the navy today, but he couldn't pass the ideology test imposed by the SECDEF. I hope you'll listen as we briefly explore elevation of ideology over merit and competence.

Benjamin Mann is a co-founder of Anthropic, an AI startup dedicated to building aligned, safety-first AI systems. Prior to Anthropic, Ben was one of the architects of GPT-3 at OpenAI. He left OpenAI driven by the mission to ensure that AI benefits humanity. In this episode, Ben opens up about the accelerating progress in AI and the urgent need to steer it responsibly.In this conversation, we discuss:1. The inside story of leaving OpenAI with the entire safety team to start Anthropic2. How Meta's $100M offers reveal the true market price of top AI talent3. Why AI progress is still accelerating (not plateauing), and how most people misjudge the exponential4. Ben's “economic Turing test” for knowing when we've achieved AGI—and why it's likely coming by 2027-20285. Why he believes 20% unemployment is inevitable6. The AI nightmare scenarios that concern him most—and how he believes we can still avoid them7. How focusing on AI safety created Claude's beloved personality8. What three skills he's teaching his kids instead of traditional academics—Brought to you by:Sauce—Turn customer pain into product revenue: https://sauce.app/lennyLucidLink—Real-time cloud storage for teams: https://www.lucidlink.com/lennyFin—The #1 AI agent for customer service: https://fin.ai/lenny—Transcript: https://www.lennysnewsletter.com/p/anthropic-co-founder-benjamin-mann—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/168107911/my-biggest-takeaways-from-this-conversation—Where to find Ben Mann:• X: https://x.com/8enmann• LinkedIn: https://www.linkedin.com/in/benjamin-mann/• Website: https://benjmann.net/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Benjamin(04:43) The AI talent war(06:28) AI progress and scaling laws(10:50) Defining AGI and the economic Turing test(12:26) The impact of AI on jobs(17:45) Preparing for an AI future(24:05) Founding Anthropic(27:06) Balancing AI safety and progress(29:10) Constitutional AI and model alignment(34:21) The importance of AI safety(43:40) The risks of autonomous agents(45:40) Forecasting superintelligence(48:36) How hard is it to align AI?(53:19) Reinforcement learning from AI feedback (RLAIF)(57:03) AI's biggest bottlenecks(01:00:11) Personal reflections on responsibilities(01:02:36) Anthropic's growth and innovations(01:07:48) Lightning round and final thoughts—Referenced:• Dario Amodei on LinkedIn: https://www.linkedin.com/in/dario-amodei-3934934/• Anthropic CEO: AI Could Wipe Out 50% of Entry-Level White Collar Jobs: https://www.marketingaiinstitute.com/blog/dario-amodei-ai-entry-level-jobs• Alexa+: https://www.amazon.com/dp/B0DCCNHWV5• Azure: https://azure.microsoft.com/• Sam Altman on X: https://x.com/sama• Opus 3: https://www.anthropic.com/news/claude-3-family• Claude's Constitution: https://www.anthropic.com/news/claudes-constitution• Greg Brockman on X: https://x.com/gdb• Anthropic's Responsible Scaling Policy: https://www.anthropic.com/news/anthropics-responsible-scaling-policy• Agentic Misalignment: How LLMs could be insider threats: https://www.anthropic.com/research/agentic-misalignment• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• AI prompt engineering in 2025: What works and what doesn't | Sander Schulhoff (Learn Prompting, HackAPrompt): https://www.lennysnewsletter.com/p/ai-prompt-engineering-in-2025-sander-schulhoff• Unitree: https://www.unitree.com/• Arthur C. Clarke: https://en.wikipedia.org/wiki/Arthur_C._Clarke• How Reinforcement Learning from AI Feedback Works: https://www.assemblyai.com/blog/how-reinforcement-learning-from-ai-feedback-works• RLHF: https://en.wikipedia.org/wiki/Reinforcement_learning_from_human_feedback• Jared Kaplan on LinkedIn: https://www.linkedin.com/in/jared-kaplan-645843213/• Moore's law: https://en.wikipedia.org/wiki/Moore%27s_law• Machine Intelligence Research Institute: https://intelligence.org/• Raph Lee on LinkedIn: https://www.linkedin.com/in/raphaeltlee/• “The Last Question”: https://en.wikipedia.org/wiki/The_Last_Question• Beth Barnes on LinkedIn: https://www.linkedin.com/in/elizabethmbarnes/• “The Last Question”: https://en.wikipedia.org/wiki/The_Last_Question• Good Strategy, Bad Strategy | Richard Rumelt: https://www.lennysnewsletter.com/p/good-strategy-bad-strategy-richard• Pantheon on Netflix: https://www.netflix.com/title/81937398• Ted Lasso on AppleTV+: https://tv.apple.com/us/show/ted-lasso/umc.cmc.vtoh0mn0xn7t3c643xqonfzy• Kurzgesagt—In a Nutshell: https://www.youtube.com/channel/UCsXVk37bltHxD1rDPwtNM8Q• 5 tips to poop like a champion: https://8enmann.medium.com/5-tips-to-poop-like-a-champion-3292481a9651—Recommended books:• Superintelligence: Paths, Dangers, Strategies: https://www.amazon.com/Superintelligence-Dangers-Strategies-Nick-Bostrom/dp/0198739834• The Hacker and the State: Cyber Attacks and the New Normal of Geopolitics: https://www.amazon.com/Hacker-State-Attacks-Normal-Geopolitics/dp/0674987551• Replacing Guilt: Minding Our Way: https://www.amazon.com/Replacing-Guilt-Minding-Our-Way/dp/B086FTSB3Q• Good Strategy/Bad Strategy: The Difference and Why It Matters: https://www.amazon.com/Good-Strategy-Bad-Difference-Matters/dp/0307886239• The Alignment Problem: Machine Learning and Human Values: https://www.amazon.com/Alignment-Problem-Machine-Learning-Values/dp/0393635821—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

This crossover episode from Inference by Turing Post features CEO Dev Rishi of Predibase discussing the shift from static to continuously learning AI systems that can adapt and improve from ongoing user feedback in production. Rishi provides grounded insights from deploying these dynamic models to real enterprise customers in healthcare and finance, exploring both the massive potential upside and significant safety challenges of reinforcement learning at scale. The conversation examines how "practical specialized intelligence" could reshape the AI landscape by filling economic niches efficiently, potentially offering a more stable alternative to AGI development. This discussion bridges theoretical concepts with real-world deployment experience, offering a practical preview of AI systems that "train once and learn forever." Turing Post channel:  @RealTuringPost  Turpin Post website: https://www.turingpost.com Sponsors: Google Gemini 2.5 Flash : Build faster, smarter apps with customizable reasoning controls that let you optimize for speed and cost. Start building at https://aistudio.google.com Labelbox: Labelbox pairs automation, expert judgment, and reinforcement learning to deliver high-quality training data for cutting-edge AI. Put its data factory to work for you, visit https://labelbox.com Oracle Cloud Infrastructure: Oracle Cloud Infrastructure (OCI) is the next-generation cloud that delivers better performance, faster speeds, and significantly lower costs, including up to 50% less for compute, 70% for storage, and 80% for networking. Run any workload, from infrastructure to AI, in a high-availability environment and try OCI for free with zero commitment at https://oracle.com/cognitive The AGNTCY: The AGNTCY is an open-source collective dedicated to building the Internet of Agents, enabling AI agents to communicate and collaborate seamlessly across frameworks. Join a community of engineers focused on high-quality multi-agent software and support the initiative at https://agntcy.org NetSuite by Oracle: NetSuite by Oracle is the AI-powered business management suite trusted by over 42,000 businesses, offering a unified platform for accounting, financial management, inventory, and HR. Gain total visibility and control to make quick decisions and automate everyday tasks—download the free ebook, Navigating Global Trade: Three Insights for Leaders, at https://netsuite.com/cognitive PRODUCED BY: https://aipodcast.ing CHAPTERS: (00:00) Sponsor: Google Gemini 2.5 Flash (00:31) About the Episode (03:46) Training Models Continuously (05:03) Reinforcement Fine-Tuning Revolution (09:31) Agentic Workflows Challenges (Part 1) (12:51) Sponsors: Labelbox | Oracle Cloud Infrastructure (15:28) Agentic Workflows Challenges (Part 2) (15:41) ChatGPT Pivot Moment (19:59) Planning AI Future (24:45) Open Source Gaps (Part 1) (28:35) Sponsors: The AGNTCY | NetSuite by Oracle (30:50) Open Source Gaps (Part 2) (30:54) AGI vs Specialized (35:26) Happiness and Success (37:04) Outro

Florida Congresswoman Anna Paulina Luna joins Mike to discuss the youth movement in the Republican Party. Plus, she gives her thoughts on the first few months of Trump's second term. Plus, Charlie Kirk's Executive Producer, Andrew Kolvet, joins Mike to discuss working with Charlie and the future of the GOP. See omnystudio.com/listener for privacy information.

Episode 311 Geoengineering could be the best way to avoid catastrophic climate disaster - but there's a big catch. In the recent Global Tipping Points Conference in the UK, scientists discussed growing concerns that the AMOC may be on the verge of collapsing. This is a system of ocean currents that plays a crucial role in regulating global climate. With the window of action rapidly closing, one climate model suggests geoengineering is the fastest way to stop this from happening. But without global consensus, the team explains how geoengineering could also damage the climate further or even lead to a new kind of warfare. We're brushing up against the edge of mathematics with the uncovering of a number so large it's hard to even describe. Busy Beaver numbers are used to describe the longest possible run-times of ‘Turing machines' - a theoretical model of computation conceived by Alan Turing. These numbers are surprisingly hard to figure out. But after uncovering the fifth Busy Beaver number in 2021, an online community of mathematicians now thinks they've figured out the sixth number - and it's beyond massive. What does this mean for the nature of mathematics? We've known for a long time that exercise is a great way of reducing cancer risk - and now we finally know why. A new study suggests changes in the microbiome caused by exercise can reduce tumour growth - and there appears to be one particular molecule that's doing this good work. Does this mean we could one day use poop transplants as a cancer treatment? Chapters: (00:22) Can geoengineering save us from climate disaster? (16:59) Have we broken mathematics? (25:42) Why exercise reduces cancer risk Hosted by Rowan Hooper and Penny Sarchet, with guests Michael Le Page, Jacob Aron, Claudia Wieners and Marlies Meisel. To read more about these stories, visit https://www.newscientist.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices

Imagine a world where your orthodontic practice operates seamlessly, effortlessly catering to the needs of your patients while maximizing your team's productivity.Sounds like a dream, right?Well, brace yourself for a technological marvel that can turn this dream into a reality.Chatbots, the AI-powered wizards of customer engagement, are revolutionizing the orthodontic industry. These intelligent assistants are more than just lines of code – they are the key to unlocking a whole new level of personalized interactions, streamlined processes, and skyrocketing growth for your practice.If you're ready to discover the game-changing potential of integrating chatbots into your ortho practice, get ready to embark on an extraordinary journey that will reshape the way you connect with your patients, supercharge your marketing strategies, and propel your practice to the forefront of innovation.In this episode, we explore the benefits of integrating chatbots into your ortho practice with insights from Matt Leitz, a seasoned entrepreneur specializing in marketing automation. Matt will speak at the upcoming Orthopreneur Summit about AI and Chatbots and unveil something special for our industry.Remember, when it comes to integrating chatbots into your Ortho practice, the possibilities are limitless, and the rewards can be truly transformative.Tune in to learn more!Key Takeaways- Meet Matt Leitz (00:28)- Interactive customer experiences with chatbots (06:03)- How AI bots save money (09:16)- Solving the pain of generating leads in Ortho (14:55)- Should AI bots pass the Turing test (17:43)- The chatbot process flow in Ortho (21:05)- Orthodontic digital co-diagnosis with AI (24:07)- How we drop the ball with leads (31:52)Additional Resources

As a listener of TOE you can get a special 20% off discount to The Economist and all it has to offer! Visit https://www.economist.com/toe Mathematician Eva Miranda returns with a groundbreaking new result: a real physical system (fluid motion) has been proven to be Turing-complete. This means some fluid paths are logically undecidable. In this mind-bending episode, she walks us through the implications for chaos theory, the Navier-Stokes equations, and uncomputability in nature, confirming long-held suspicions of thinkers like Roger Penrose and Terence Tao. Featuring rubber ducks, Alan Turing, and the limits of knowledge itself. Join My New Substack (Personal Writings): https://curtjaimungal.substack.com Listen on Spotify: https://open.spotify.com/show/4gL14b92xAErofYQA7bU4e Timestamps: 00:00 Introduction 01:10 Expect the Unexpected 02:52 Stories of Uncertainty 04:45 The Impact of Alan Turing 06:35 The Halting Problem Explained 09:29 Limits of Mathematical Knowledge 12:40 From Certainty to Uncertainty 16:19 The Rubber Duck Phenomenon 19:29 Unpredictability vs. Undecidability 20:18 Classical Chaos and the Butterfly Effect 27:12 Asteroids and Chaos Theory 34:32 The Navier-Stokes Riddle 41:18 The Cantor Set and Computation 46:18 Bridging Discrete and Continuous 49:21 Turing Completeness in Fluid Dynamics 1:02:39 The Quest for Navier-Stokes Solutions 1:06:53 The Role of Viscosity 1:12:09 Hybrid Computers and Fluid Dynamics 1:26:57 Unpredictability in Deterministic Systems 1:31:44 The Future of Computational Models Links Mentioned: •⁠ ⁠Eva's First Appearance [TOE]: https://youtu.be/6XyMepn-AZo •⁠ ⁠Moby Duck [Book]: https://amzn.to/4ldoYsZ •⁠ ⁠Roger Penrose [TOE]: https://youtu.be/sGm505TFMbU •⁠ ⁠The Emperor's New Mind [Book]: https://amzn.to/44jHpGK •⁠ ⁠Edward Frenkel [TOE]: https://youtu.be/RX1tZv_Nv4Y •⁠ ⁠Richard Borcherds [TOE]: https://youtu.be/U3pQWkE2KqM •⁠ ⁠Clay Mathematics Institute: https://www.claymath.org/ •⁠ ⁠Eva's Papers: https://scholar.google.com/citations?user=werIoRQAAAAJ&hl=en •⁠ ⁠Topological Kleene Field Theories [Paper]: https://arxiv.org/pdf/2503.16100 •⁠ ⁠Ted Jacobson [TOE]: https://youtu.be/3mhctWlXyV8 •⁠ ⁠Stephen Wolfram [TOE]: https://youtu.be/0YRlQQw0d-4 SUPPORT: - Become a YouTube Member (Early Access Videos): https://www.youtube.com/channel/UCdWIQh9DGG6uhJk8eyIFl1w/join - Support me on Patreon: https://patreon.com/curtjaimungal - Support me on Crypto: https://commerce.coinbase.com/checkout/de803625-87d3-4300-ab6d-85d4258834a9 - Support me on PayPal: https://www.paypal.com/donate?hosted_button_id=XUBHNMFXUX5S4 SOCIALS: - Twitter: https://twitter.com/TOEwithCurt - Discord Invite: https://discord.com/invite/kBcnfNVwqs #science Learn more about your ad choices. Visit megaphone.fm/adchoices

Any donation is greatly appreciated! 47e6GvjL4in5Zy5vVHMb9PQtGXQAcFvWSCQn2fuwDYZoZRk3oFjefr51WBNDGG9EjF1YDavg7pwGDFSAVWC5K42CBcLLv5U OR DONATE HERE: https://www.monerotalk.live/donate TODAY'S SHOW: In this episode of Monero Talk, Douglas Tuman speaks with cryptographic engineer Sean Coughlin about "Grease," his proposed layer 2 payment channel protocol for Monero. They delve into its technical design, how it compares to Bitcoin's Lightning Network, and its potential to streamline Monero transactions by enabling off-chain payments without routing complexities. Sean shares insights from MoneroKon, discusses Monero's resilience despite theoretical attack vectors, and explains how Grease aligns with upcoming upgrades like Full Chain Membership Proofs (FCMP++). He also touches on real-world use cases, wallet integration, and Grease's flexible, decentralized approach aimed at boosting Monero's usability and innovation. TIMESTAMPS: (00:03:40) Sean's background and involvement in Monero development (00:06:29) Privacy strength of Monero and resistance to chain analysis (00:10:21) Comparisons to other privacy coins (e.g., Zcash) (00:12:26) MoneroKon research papers and Eclipse attacks on nodes. (00:14:35) Discussion on Full Chain Membership Proofs (FCMP++) and its progress. (00:18:37) Clarifying Zero-Knowledge Proofs and Monero's cryptographic foundation. (00:22:11) History and capabilities of Turing-complete ZKPs in other projects. (00:26:16) Philosophy of "minimaxing" – Monero focuses only on privacy. (00:27:19) Debating if Monero needs to become Turing complete. (00:31:05) Introduction to "Grease" – Monero-compatible payment channel proposal. (00:31:42) Technical hurdles for payment channels in Monero (e.g., no transaction chaining). (00:35:01) Feasibility of Grease today vs. post-FCMP++. (00:36:38) Clarifying the benefits and use cases of Grease (instant payments, off-chain privacy). (00:39:39) Why Layer 2 doesn't conflict with Monero's scaling philosophy. (00:46:41) Grease vs. Bitcoin Lightning Network (00:56:05) Feedback from MoneroKon and Reddit – cautious optimism from developers. (01:05:39) Trade-offs: centralization vs. security in protocol design GUEST LINKS: https://x.com/seanrcoughlin Purchase Cafe & tip the farmers w/ XMR! https://gratuitas.org/ Purchase a plug & play Monero node at https://moneronodo.com SPONSORS: Cakewallet.com, the first open-source Monero wallet for iOS. You can even exchange between XMR, BTC, LTC & more in the app! Monero.com by Cake Wallet - ONLY Monero wallet (https://monero.com/) StealthEX, an instant exchange. Go to (https://stealthex.io) to instantly exchange between Monero and 450 plus assets, w/o having to create an account or register & with no limits. WEBSITE: https://www.monerotopia.com CONTACT: monerotalk@protonmail.com ODYSEE: https://odysee.com/@MoneroTalk:8 TWITTER: https://twitter.com/monerotalk FACEBOOK: https://www.facebook.com/MoneroTalk HOST: https://twitter.com/douglastuman INSTAGRAM: https://www.instagram.com/monerotalk TELEGRAM: https://t.me/monerotopia MATRIX: https://matrix.to/#/%23monerotopia%3Amonero.social MASTODON: @Monerotalk@mastodon.social MONERO.TOWN: https://monero.town/u/monerotalkAny donation is greatly appreciated!Any donation is greatly appreciated!

Today's show:Meta just took a 49% stake in Scale AI, and the shockwaves are hitting the entire AI ecosystem. In this episode, @Jason and @alex unpack the deal's implications: Google ($150M customer!) and others are fleeing Scale, worried Meta will hoard its RLHF infrastructure and cut off competitors. Startups like Labelbox, Turing, and Handshake are already seeing a demand surge. Is this smart vertical integration or anti-competitive overreach? Jason shares tactical advice for founders on how to capitalize when incumbents stumble—hire ex-Scale talent, build “Scale AI alternative” SEO pages, and hit the podcast circuit. Don't miss this deep dive into AI's shifting power dynamics.Timestamps:(04:01) Is Jason becoming an AI doomer?!(9:52) OpenPhone - Streamline and scale your customer communications with OpenPhone. Get 20% off your first 6 months at www.openphone.com/⁠twist(13:47) PostHog, and when is it okay for founders to break the rules?(20:56) Vanta - Get $1000 off your SOC 2 at https://www.vanta.com/twist(25:50) Why the Navy is recruiting startups(30:12) Pilot - Visit https://www.pilot.com/twist and get $1,200 off your first year.(39:09) Did Zuck buy Scale in order to keep it from competitors?(56:08) When does incentivizing customers turn into burning capital?(1:04) How raising too much money could KILL your startup!Subscribe 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/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:(9:52) OpenPhone - Streamline and scale your customer communications with OpenPhone. Get 20% off your first 6 months at www.openphone.com/⁠twist(20:56) Vanta - Get $1000 off your SOC 2 at https://www.vanta.com/twist(30:52) Pilot - Visit https://www.pilot.com/twist and get $1,200 off your first year.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

If you've tried to book a therapy appointment, you know there's a shortage of mental health professionals. It's not unusual to have to wait weeks or months for an appointment. So, with the rise of platforms like Chat GPT, could we harness AI technology for talk therapy purposes to treat things like depression and anxiety? We were extremely skeptical that this topic would even warrant a full episode on the Happy Eating Podcast. But, as you've heard us confess before, we are sometimes pleasantly surprised once we dig into the research. So, did we change our mind after researching this topic? References or Studies Mentioned:    Therabot AI Chatbox (https://www.trytherabot.com/)    Randomized Trial of a Generative AI Chatbot for Mental Health Treatment When ELIZA meets therapists: A Turing test for the heart and mind   Thank you for listening to The Happy Eating Podcast. Tune in weekly on Thursdays for new episodes! For even more Happy Eating, head to our website!  https://www.happyeatingpodcast.com Learn More About Our Hosts:  Carolyn Williams PhD, RD: Instagram: https://www.instagram.com/realfoodreallife_rd/ Website: https://www.carolynwilliamsrd.com Facebook: https://www.facebook.com/RealFoodRealLifeRD/ Brierley Horton, MS, RD Instagram: https://www.instagram.com/brierleyhorton/ Got a question or comment for the pod? Please shoot us a message!  happyeatingpodcast@gmail.com Produced by Lester Nuby OE Productions