English mathematician and computer scientist
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Our guest today is Dr. Ken Forbus, the Walter P. Murphy Professor of Computer Science and a Professor of Education at Northwestern University. Joining Dr. Ken Ford to co-host today's interview is Dr. James Allen, who was IHMC's associate director until he retired a few years ago. James is a founding fellow of the American Association for Artificial Intelligence and a perfect fit for today's discussion with Dr. Forbus, who, like James, is an AI pioneer. Back in 2022, James was named a fellow by the Association for Computational Linguistics, an organization that studies computational language processing, another field he helped pioneer. Dr. Forbus also is a Fellow of the Association for the Advancement of Artificial Intelligence and was the inaugural winner of the Herbet A. Simon Prize for Advances in Cognitive Systems. He is well-known for his development of the Structure Mapping Engine. In artificial intelligence and cognitive science, the Structure Mapping Engine is a computer simulation of analogy and similarity comparisons that helped pave the way for computers to reason more like humans. Show Notes: [00:03:07] Ken opens the interview with Dr. Forbus by asking if it is true that he had an unusual hobby for a nerdy kid growing up. [00:04:18] James mentions that Dr. Forbus' family moved often when he was younger and asks how that affected him. [00:05:18] Ken mentions that when Dr. Forbus was in high school, he filled his free time reading about psychology and cognition before eventually coming across some articles on AI. Ken asks Dr. Forbus to talk about this experience and what happened next. [00:07:49] James asks Dr. Forbus if he remembers the first computer he owned. [00:09:17] Ken asks Dr. Forbus if there was anything, other than its reputation, that led him to attend MIT. [00:10:09] James mentions that for the past few decades, Dr. Forbus has been working on developing “human like” AI systems. While much of AI research and development has been focused on meeting the standard of the Turing test, James asks Dr. Forbus why he is not a fan of the Turing test. [00:12:24] Ken mentions that Dr. Forbus received his Ph.D. from MIT in 1984, the same year that Apple released the first Macintosh, which was rolled out with a famous Super Bowl ad. This computer was the first successful mouse driven personal computer with a graphical interface. Ken asks Dr. Forbus what he remembers about that ad, and what his reaction to it was at the time. [00:13:22] James mentions that 1984 was also the year that Dr. Forbus made his first splash in the AI world with his paper on qualitative process theory. James goes on to explain that at the time, qualitative reasoning regarding quantities was a major problem for AI. In his paper, Dr. Forbus proposed qualitative process theory as a representational framework for common sense physical reasoning, arguing that understanding common sense physical reasoning first required understanding of processes and their effects and limits. James asks Dr. Forbus to give an overview of this paper and its significance. [00:18:10] Ken asks Dr. Forbus how it was that he ended up marrying one of his collaborators on the Structure Mapping Engine project, Dedre Gentner. [00:19:14] James explains that Dedre's Structure Mapping Theory explains how people understand and reason about relationships between different situations, which is central to human cognition. James asks Dr. Forbus how Dedre's theory was foundational for the Structure Mapping Engine (SME). [00:25:19] Ken mentions how SME has gone through a number of changes and improvements over the years, as documented in Dr. Forbus' 2016 paper “Extending SME to handle large scale cognitive modeling.” Ken asks, as a cognitive model, what evidence Dr. Forbus has used to argue for the psychological and cognitive plausibility of SME. [00:30:00] Ken explains that many AI systems rely on deep learning,
Written and directed by Alex Garland in his directorial debut, Ex Machina is the science fiction film starring Domhnall Gleeson, Alicia Vikander, and Oscar Isaac. Rob and Jason rewind to the year 2015 to review the decade old movie that has only just become more relevant with time. Caleb Smith (Domhnall Gleeson) a programmer at a huge Internet company, wins a contest that enables him to spend a week at the private estate of Nathan Bateman (Oscar Isaac), his firm's brilliant CEO. When he arrives, Caleb learns that he has been chosen to be the human component in a Turing test to determine the capabilities and consciousness of Ava (Alicia Vikander), a beautiful robot. However, it soon becomes evident that Ava is far more self-aware and deceptive than either man imagined.
Taylor Bradley, VP of Talent Strategy and Success at Turing, joined us on The Modern People Leader.We talked about why every HR team needs to create an AI “prompt pantry”, how Turing “AI'd” their way out of onboarding 800 employees in five days, and how to build AI workflows for HR.---- Sponsor Links:
Tim and Mary Danielsen dive into headlines once again, if only to prove we are not robots but real humans. Is everyone sick of trying to prove they are flesh and blood? Or hoping that the pictures you click on will pass the test? This system is actually called CAPTCHA (Completely Automated Public Turing Test to tell Computers and Humans Apart). It is a computing test to determine if the user is human. It is sometimes called the reverse Turing test, as the point is to prove humanity rather than artificial intelligence. I for one believe that the burden of proof is on the Artificial Lifeform to come forth and identify themselves. Today we talk about that alternate reality that is the internet. Patrick Wood has for some time now said that reality barely exists anyway, so we will look at what that means. We also look at Canadian elections; the Pope as Muslim apologist; an update on the Temple Mount; catastrophic AI; Facial Recognition perils; and the need to find HOPE in all of it. After all, our hope isn't in prophetic fulfillment, it is in a person - the Lord Jesus Christ, Lord of all. A full hour regarding life on planet earth in April 2025. Stand Up For The Truth Videos: https://rumble.com/user/CTRNOnline & https://www.youtube.com/channel/UCgQQSvKiMcglId7oGc5c46A
Welcome to Dev Game Club, where this week we continue our series on 2012's Fez, looking at coming back to a puzzle game and perception in its many forms, among other topics. Dev Game Club looks at classic video games and plays through them over several episodes, providing commentary. Sections played: More cubes! Issues covered: video game development ephemera, coming back to a puzzle game, not enjoying the map but maybe you should be, a text adventure map, secret doors, retraining your brain, key ordering, not knowing if you should walk away from puzzles, developing trust with the game, being motivated to solve every puzzle, when do you walk away, planning for the player to get stuck, adventure game slop, getting stuck in a more linear game, putting in scaled difficulty, getting to a point where you're stuck everywhere, different types of puzzling in the game, the steps of a particular puzzle, a meta discussion, a game about perspectives where the activity is manipulating perspectives, being proud of being in games, recontextualizing your perception, having to retrain your brain, overestablishment of genre, having confidence, working on top of a common language, recognizing that you have the tool, mechanics in a neighborhood, experimenting when you've been away, being able to innovate in more major ways, achievements/trophy hunting, being lost in the realm, Turing-complete redstone. Games, people, and influences mentioned or discussed: Sean Vesce, Zack Norman, Interstate '76, VGHF, LucasArts, Space Quest, The Witness, Blue Prince, MYST, Tomb Raider, Zelda, The Fool's Errand, Metroid (series), Hollow Knight, Kingdom Hearts (series), MegaMan (series), Mario (series), Colin from PA, PlayStation/Xbox/Steam, Minecraft, LostLake, Mors, Kaeon, Bvron, Kirk Hamilton, Aaron Evers, Mark Garcia. Notes: Brett referred to Fez's year as 2013 or 2014, but clearly it was 2012. Whoops. Next time: Finish(?) the game? Twitch Discord DevGameClub@gmail.com
It's been 4 months since we've cleared the backlog of Fresh AI Hell and the bullshit is coming in almost too fast to keep up with. But between a page full of awkward unicorns and a seeming slowdown in data center demand, Alex and Emily have more good news than usual to accompany this round of catharsis.AI Hell:LLM processing like human language processing (not)Jack Clark predicting AGISebastian Bubeck says predictions in "sparks" paper have already come trueWIRED puff piece on the AmodeisFoundation agents & leaning in to the computational metaphor (Fig 1, p14)Chaser: Trying to recreate the GPT unicornThe WSJ has an AI bot for all your tax questionsChatGPT libelAOL.com uses autogenerated captions about attempted murderAI coding tools fix bugs by adding bugs"We teach AGI to think, so you don't have to"(from: Turing.com)MAGA/DOGE paints teachers as glorified babysitters in push for AIChaser: How we are NOT using AI in the classroomAI benchmarks are self-promoting trash — but regulators keep using themDOGE is pushing AI tool created as "sandbox" for federal testing"Psychological profiling" based on social mediaThe tariffs and ChatGPT"I was not informed that Microsoft would sell my work to the Israeli military and government"Microsoft fires engineers who protested Israeli military use of its toolsPulling back on data centers, Microsoft editionAbandoned data centers, China editionBill Gates: 2 day workweek coming thanks to AI...replacing doctors and teachers??Chaser: Tesla glue fail schadenfreudeChaser: Let's talk about the genie tropeChaser: We finally met!!!Check out future streams at on Twitch, Meanwhile, send us any AI Hell you see.Our book, 'The AI Con,' comes out in May! Pre-order now.Subscribe to our newsletter via Buttondown. Follow us!Emily Bluesky: emilymbender.bsky.social Mastodon: dair-community.social/@EmilyMBender Alex Bluesky: alexhanna.bsky.social Mastodon: dair-community.social/@alex Twitter: @alexhanna Music by Toby Menon.Artwork by Naomi Pleasure-Park. Production by Christie Taylor.
In dieser Episode befasse ich mich mit dem Buch "Maschinen wie ich" von Ian McEwan, einem Roman, der tiefgreifende Fragen zur menschlichen Existenz aufwirft. Die Geschichte folgt Charlie, einem charmanten Lebenskünstler Anfang 30, und Miranda, einer intelligenten Studentin mit einem düsteren Geheimnis. Ihre Beziehung wird durch die Einführung von Adam, einem lebensechten Androiden, auf eine spannende Probe gestellt. Ich erkunde die grundlegenden Fragen des Romans: Können Maschinen denken, fühlen und lieben? Adams komplexe Emotionen und moralischen Prinzipien führen Charlie und Miranda in unerwartete und teils verhängnisvolle Situationen. In meiner persönlichen Rezension teile ich, wie ich zu diesem Buch gekommen bin. Als ich am Samstag über den Markt schlenderte und in der Büchergilde Gutenberg stöberte, fiel mir das Buch in die Hände. "Maschinen wie ich" spielt in einer alternativen Vergangenheit, im Jahr 1982, wo technologische Entwicklungen weit fortgeschrittener sind als in der Realität. Der Roman thematisiert, was wäre, wenn wir bereits im Jahr 1982 über selbstdenkende Maschinen und Konzepte wie ein bedingungsloses Grundeinkommen diskutiert hätten. Diese alternativen Aspekte der Handlung verleihen der Geschichte ihren einzigartigen Charme und machen sie zu einem fesselnden Leseerlebnis. Die Beziehung zwischen Charlie und Miranda steht im Mittelpunkt der Erzählung. Miranda trägt schwer an ihrer Vergangenheit, geprägt von einem traumatischen Erlebnis. Gleichzeitig wird der brillante Alan Turing eingeführt, dessen historische Figur mit der Entwicklung der Computertechnologie verbunden ist. Im Roman lebt Turing weiter und hat entscheidenden Einfluss auf die wissenschaftlichen Fortschritte. Einzigartig ist auch Adams Charakter, der nicht nur ein Roboter, sondern auch ein tiefgründiger Protagonist ist, der für Miranda empfindet und Gedichte verfasst. Trotz der Vielzahl an Themen bleibt der Roman fokussiert und unterhaltsam. McEwan skizziert eindringliche Personen und Situationen, die den Leser zum Nachdenken anregen. Ich reflektiere darüber, wohin uns die Entwicklung von Robotern führen könnte, insbesondere wenn sie uns zu ähnlich werden. "Maschinen wie ich" ist weit mehr als nur ein Science-Fiction-Roman; es ist eine Einladung zur Auseinandersetzung mit entscheidenden Fragen über unsere Menschlichkeit und Technologie. Ich empfehle jedem, die Gelegenheit zu nutzen, dieses Buch zu lesen, es hat das Potenzial, den Leser nachhaltig zu berühren und zum Nachdenken zu bringen. Der Roman ist zugänglich und doch komplex, ideal für jene, die sich auf tiefere Gedanken einlassen möchten.
NEW SUBSCRIPTION INTERFACE THINGAMABOB! You can now find our subscription page at GeorgeHrab.com at this link. Many thanks to the majestic Evo Terra for his assistance. THE SHOW NOTES Easter is here, Easter is weird Intro Is anyone out there? Interesting Fauna - Clobazam- and Benzodiazepine-exposed Atlantic Salmon Religious Moron of the Week - Melissa Ganey English Ask George - Hold music? from Michael in Seattle Damian Handzy's Facts That'll Fuck Y'up - Sourdough, Coldplay, Lincoln, Turing, more… Tell Me Something Good - Hacked Crosswalks Geo Solo in Nazareth next Saturday Show Close ......................... EVENTS ON THE SCHEDULE April 26 Nazareth Center for the Arts “George Hrab: So Wry, Solo” 7:30 ......................... Get George's Music Here https://georgehrab.hearnow.com https://georgehrab.bandcamp.com ................................... SUBSCRIBE! You can sign up at GeorgeHrab.com and become a Geologist or a Geographer. As always, thank you so much for your support! You make the ship go. ................................... Sign up for the mailing list: Write to Geo! Check out Geo's wiki page, thanks to Tim Farley. Have a comment on the show, a Religious Moron tip, or a question for Ask George? Drop George a line and write to Geo's Mom, too!
In this episode of the Hell Money Podcast, we deliver a cosmic market update from the depths of tariff uncertainty, then discuss the opcode everyone's frothing at the mouth over: OP_CAT. What is OP_CAT? What does it unlock for Bitcoin? And should it even happen?We explore:- AI and telepathy in the Age of Aquarius- Tariffs and a cosmic market update- Finding decentralized truth in the Akashic Records- Explaining the basics of OP_CAT- How OP_CAT could enable powerful primitives like vaults, covenants, and turing completeness- Whether or not OP_CAT belongs in BitcoinGet bonus content by subscribing to @hellmoneypod on X: https://x.com/hellmoneypod/creator-subscriptions/subscribeOr support the podcast by sending a BTC donation: bc1qztncp7lmcxdgude4px2vzh72p2yu2aud0eyzys 10% OFF INSCRIBING VEGAS: https://pretix.eu/inscribing/vegas/redeem?voucher=HELLMONEY10% OFF BITCOIN 2025: https://tickets.b.tc/code/inscribing/event/bitcoin-2025ORDINALS PROTOCOL SHIRT: https://shop.inscribing.com/products/ordinals-protocol-shirtTIMESTAMPS:0:00 Intro & AI Telepathy8:00 Tariffs & Cosmic Market Update43:00 The Akashic Records, Decentralized Truth, & Randonauting51:45 OP_CAT54:15 Turing machines & completeness1:00:00 Uses for OP_CAT1:13:30 Rijndael's Taplocks1:18:00 Outro
المصادر https://www.notablecap.com/blog/the-anatomy-of-a-neural-network https://www.projectpro.io/article/deep-learning-architectures/996 https://botpenguin.com/glossary/transformer-architecture https://en.wikipedia.org/wiki/Turing_test https://www.aibrilliance.com/blog/from-turing-to-today-a-brief-history-of-ai https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2018.02571/full https://arxiv.org/abs/2405.08007 https://www.beren.io/2022-08-06-The-scale-of-the-brain-vs-machine-learning/ https://www.linkedin.com/pulse/how-geoff-hinton-changed-my-mind-ai-risk-aki-ranin https://www.youtube.com/watch?v=wjZofJX0v4M
In our second fundraising hour, we talk about the need to fund college radio, Ray laid on some pretty cool trivia about the iconic movie The French Connection, and we learned about an old, but significant test for AI usage called the Turing Test. Parking brake activation, maintenance and service problems were also covered. Donations accepted at www.nccradio.org. Check our social media feed to see the pictures; on Instagram: @real_motormouthradio and on YouTube: https://youtu.be/XWgg2ixb16Y
It's been a wild week. One of those weeks where the headlines are loud, the hype is high, and the truth is somewhere buried underneath. If you've been wondering what to make of the claims that GPT-4.5 just “beat humans,” or if you're trying to wrap your head around what Google's massive AGI safety paper actually means, you're in the right place.As usual, I'll break it all down in a way that cuts through the noise, gives you clarity, and helps you think deeper, especially if you're a business leader trying to stay ahead without losing your mind (or your values).With that, let's get to it.GPT-4.5 Passes the Turing Test – The headlines say it “beat humans,” but what does that really mean? I unpack what the Turing Test is, why GPT-4.5 passing it might not mean what you think, and why this moment is more about AI's ability to convince than its ability to think. This isn't about panic; it's about perspective.Google's AGI Safety Framework – Google DeepMind just dropped a 145-page blueprint for AGI safety. That alone should tell you how seriously the big players are taking this. I break down what's in it, what's good, what's missing, and why this moment signals we're officially past the point of treating AGI as hypothetical.Shopify's AI Mandate – When Shopify's CEO says AI will determine hiring, performance reviews, and product decisions, you better pay attention. I explore what this shift means for businesses, why it's more than a bold PR move, and how to make sure your organization doesn't just talk AI but actually does it well.Ethical AI in Relationships and Interviews – A viral story about using ChatGPT to prep for a date raises big questions. Is it creepy? Is it smart? Is it both? I use it as a springboard to talk about how we think about people, relationships, and trust in a world where AI can easily impersonate authenticity. Hint: the issue isn't the tool; it's the intent.I'd love to hear what you think. Drop your thoughts, reactions, or disagreements in the comments.Show Notes:In this Weekly Update, Christopher Lind dives into the latest developments at the intersection of business, technology, and human experience. Key discussions include the recent passing of the Turing test by OpenAI's GPT-4.5 model, its implications, and why we may need a new benchmark for AI intelligence. Christopher also explores Google's detailed technical framework for AGI safety, pointing out its significance and potential impact on future AI development. Additionally, the episode addresses Shopify's strong focus on integrating AI into its operations, examining how this might influence hiring practices and performance reviews. Finally, Christopher discusses the ethical and practical considerations of using AI for personal tasks, such as preparing for dates, and emphasizes the importance of understanding AI's role and limitations.00:00 - Introduction and Purpose of the Update01:27 - The Turing Test and GPT-4.5's Achievement14:29 - Google DeepMind's AGI Safety Framework31:04 - Shopify's Bold AI Strategy43:28 - Ethical Implications of AI in Personal Interactions51:34 - Concluding Thoughts on AI's Future#ArtificialIntelligence #AGI #GPT4 #AIInBusiness #HumanCenteredTech
There have been several headlines over the past week about an AI chatbot officially passing the Turing test. These news reports are based on a recent preprint study by two researchers at the University of California San Diego in which four large language models (LLMs) were put through the Turing test. One model, OpenAI’s GPT-4.5, was deemed indistinguishable from a human more than 70% of the time.
Support the show to get full episodes, full archive, and join the Discord community. The Transmitter is an online publication that aims to deliver useful information, insights and tools to build bridges across neuroscience and advance research. Visit thetransmitter.org to explore the latest neuroscience news and perspectives, written by journalists and scientists. Read more about our partnership. Sign up for the “Brain Inspired” email alerts to be notified every time a new “Brain Inspired” episode is released. To explore more neuroscience news and perspectives, visit thetransmitter.org. Aran Nayebi is an Assistant Professor at Carnegie Mellon University in the Machine Learning Department. He was there in the early days of using convolutional neural networks to explain how our brains perform object recognition, and since then he's a had a whirlwind trajectory through different AI architectures and algorithms and how they relate to biological architectures and algorithms, so we touch on some of what he has studied in that regard. But he also recently started his own lab, at CMU, and he has plans to integrate much of what he has learned to eventually develop autonomous agents that perform the tasks we want them to perform in similar at least ways that our brains perform them. So we discuss his ongoing plans to reverse-engineer our intelligence to build useful cognitive architectures of that sort. We also discuss Aran's suggestion that, at least in the NeuroAI world, the Turing test needs to be updated to include some measure of similarity of the internal representations used to achieve the various tasks the models perform. By internal representations, as we discuss, he means the population-level activity in the neural networks, not the mental representations philosophy of mind often refers to, or other philosophical notions of the term representation. Aran's Website. Twitter: @ayan_nayebi. Related papers Brain-model evaluations need the NeuroAI Turing Test. Barriers and pathways to human-AI alignment: a game-theoretic approach. 0:00 - Intro 5:24 - Background 20:46 - Building embodied agents 33:00 - Adaptability 49:25 - Marr's levels 54:12 - Sensorimotor loop and intrinsic goals 1:00:05 - NeuroAI Turing Test 1:18:18 - Representations 1:28:18 - How to know what to measure 1:32:56 - AI safety
Dana and Tom with 5x Club Member, Shane Rogers (Comedian and Host of Midnight Facts for Insomniacs) discuss the sci-fi thriller, Ex Machina (2015): written and directed by Alex Garland, cinematography by Rob Hardy, music by Geoff Barrow and Ben Salisbury, starring Domhnall Gleeson, Oscar Isaac, and Alicia Vikander.Plot Summary: Ex Machina is a cerebral sci-fi thriller written and directed by Alex Garland. The story follows Caleb (Domhnall Gleeson), a young programmer who wins a company contest to spend a week at the secluded estate of his reclusive boss, Nathan (Oscar Isaac), a brilliant but eccentric tech CEO. Upon arrival, Caleb learns he has been selected to participate in a Turing test for Ava (Alicia Vikander), an advanced AI housed in a humanoid robot. As Caleb interacts with Ava, he becomes emotionally entangled with her, questioning whether she truly possesses consciousness—or if he is being manipulated. Meanwhile, Nathan's true motives remain elusive, and the line between man, machine, and deception blurs in a tense psychological battle that builds to a chilling climax.Chapters:00:00 Introduction and Welcome Back Shane06:30 Relationship(s) to Ex Machina09:53 Did You Like the Film?18:37 What Did Ex Machina Get Right and Wrong About AI?25:15 Plot Summary for Ex Machina26:23 Did You Know?27:44 First Break28:21 What's Happening with Shane Rogers?29:41 Best Performance(s)48:35 Best/Favorite/Indelible Scene(s)56:53 Second Break57:32 In Memoriam01:02:58 Best/Funniest Lines01:05:49 The Stanley Rubric - Legacy01:12:01 The Stanley Rubric - Impact/Significance01:15:00 The Stanley Rubric - Novelty01:24:08 The Stanley Rubric - Rewatchability01:27:00 The Stanley Rubric - Audience Score and Final Total01:28:11 Remaining Questions01:33:22 Thank You to Shane and Remaining Thoughts01:37:16 CreditsGuest:Shane RogersComedian and Host of Midnight Facts for InsomniacsPreviously on Broadcast News (1987), The Big Lebowski (1998), Superman: The Movie (1978), There's Something About Mary (1998), This Is Spinal Tap (1984).You can now follow us on Instagram, Twitter, YouTube, or TikTok (@gmoatpodcast).For more on the episode, go to: https://www.ronnyduncanstudios.com/post/ex-machina-2015-ft-shane-rogersFor the entire rankings list so far, go to:
The horrible things people get programmed to believe. They have been programmed to fight for an evil cause. Jasmine Crockett’s “magic armor’. Where does the mass programing of people lead us? Turing into an old man.See omnystudio.com/listener for privacy information.
Welp, that escalated quickly.
Neste Hoje no TecMundo: a One UI 7 começa a chegar a mais celulares Galaxy, enquanto a One UI 8 pode sair antes do esperado. O TikTok enfrenta nova tensão entre China e EUA, e o GPT-4.5 impressiona ao passar no teste de Turing. E mais: Cazaquistão encontra enorme depósito de terras raras!
“What I meant when I said there is no AI is that I don't think we serve ourselves well when we put our own technology up as if it were a new God that we created. I think we confuse ourselves too easily. This goes back to Alan Turing, the main founder of computer science, who had this idea of the Turing test. In the test, you can't tell whether the computer has gotten more human-like or the human has gotten more computer-like. People are very prone to becoming more computer-like. When we're on social media, we let ourselves be guided by the algorithms, so we start to become dumb in the way the algorithms want us to. You see that all the time. It's really degraded our psychologies and our society.”Jaron Lanier is a pioneering technologist, writer, and musician, best known for coining the term “Virtual Reality” and founding VPL Research, the first company to sell VR products. He led early breakthroughs in virtual worlds, avatars, and VR applications in fields like surgery and media. Lanier writes on the philosophy and economics of technology in his bestselling book Who Owns the Future? and You Are Not a Gadget. His book Dawn of the New Everything: Encounters with Reality and Virtual Reality is an inventive blend of autobiography, science writing, and philosophy. Lanier has been named one of TIME's 100 most influential people and serves as Prime Unifying Scientist at Microsoft's Office of the CTO—aka “Octopus.” As a musician, he's performed with Sara Bareilles, Philip Glass, T Bone Burnett, Laurie Anderson, Jon Batiste, and others.Episode Websitewww.creativeprocess.info/podInstagram:@creativeprocesspodcastEpisode Websitewww.creativeprocess.info/podInstagram:@creativeprocesspodcast
“What I meant when I said there is no AI is that I don't think we serve ourselves well when we put our own technology up as if it were a new God that we created. I think we confuse ourselves too easily. This goes back to Alan Turing, the main founder of computer science, who had this idea of the Turing test. In the test, you can't tell whether the computer has gotten more human-like or the human has gotten more computer-like. People are very prone to becoming more computer-like. When we're on social media, we let ourselves be guided by the algorithms, so we start to become dumb in the way the algorithms want us to. You see that all the time. It's really degraded our psychologies and our society.”Jaron Lanier is a pioneering technologist, writer, and musician, best known for coining the term “Virtual Reality” and founding VPL Research, the first company to sell VR products. He led early breakthroughs in virtual worlds, avatars, and VR applications in fields like surgery and media. Lanier writes on the philosophy and economics of technology in his bestselling book Who Owns the Future? and You Are Not a Gadget. His book Dawn of the New Everything: Encounters with Reality and Virtual Reality is an inventive blend of autobiography, science writing, and philosophy. Lanier has been named one of TIME's 100 most influential people and serves as Prime Unifying Scientist at Microsoft's Office of the CTO—aka “Octopus.” As a musician, he's performed with Sara Bareilles, Philip Glass, T Bone Burnett, Laurie Anderson, Jon Batiste, and others.Episode Websitewww.creativeprocess.info/podInstagram:@creativeprocesspodcastEpisode Websitewww.creativeprocess.info/podInstagram:@creativeprocesspodcast
“What I meant when I said there is no AI is that I don't think we serve ourselves well when we put our own technology up as if it were a new God that we created. I think we confuse ourselves too easily. This goes back to Alan Turing, the main founder of computer science, who had this idea of the Turing test. In the test, you can't tell whether the computer has gotten more human-like or the human has gotten more computer-like. People are very prone to becoming more computer-like. When we're on social media, we let ourselves be guided by the algorithms, so we start to become dumb in the way the algorithms want us to. You see that all the time. It's really degraded our psychologies and our society.”Jaron Lanier is a pioneering technologist, writer, and musician, best known for coining the term “Virtual Reality” and founding VPL Research, the first company to sell VR products. He led early breakthroughs in virtual worlds, avatars, and VR applications in fields like surgery and media. Lanier writes on the philosophy and economics of technology in his bestselling book Who Owns the Future? and You Are Not a Gadget. His book Dawn of the New Everything: Encounters with Reality and Virtual Reality is an inventive blend of autobiography, science writing, and philosophy. Lanier has been named one of TIME's 100 most influential people and serves as Prime Unifying Scientist at Microsoft's Office of the CTO—aka “Octopus.” As a musician, he's performed with Sara Bareilles, Philip Glass, T Bone Burnett, Laurie Anderson, Jon Batiste, and others.Episode Websitewww.creativeprocess.info/podInstagram:@creativeprocesspodcastEpisode Websitewww.creativeprocess.info/podInstagram:@creativeprocesspodcast
“What I meant when I said there is no AI is that I don't think we serve ourselves well when we put our own technology up as if it were a new God that we created. I think we confuse ourselves too easily. This goes back to Alan Turing, the main founder of computer science, who had this idea of the Turing test. In the test, you can't tell whether the computer has gotten more human-like or the human has gotten more computer-like. People are very prone to becoming more computer-like. When we're on social media, we let ourselves be guided by the algorithms, so we start to become dumb in the way the algorithms want us to. You see that all the time. It's really degraded our psychologies and our society.”Jaron Lanier is a pioneering technologist, writer, and musician, best known for coining the term “Virtual Reality” and founding VPL Research, the first company to sell VR products. He led early breakthroughs in virtual worlds, avatars, and VR applications in fields like surgery and media. Lanier writes on the philosophy and economics of technology in his bestselling book Who Owns the Future? and You Are Not a Gadget. His book Dawn of the New Everything: Encounters with Reality and Virtual Reality is an inventive blend of autobiography, science writing, and philosophy. Lanier has been named one of TIME's 100 most influential people and serves as Prime Unifying Scientist at Microsoft's Office of the CTO—aka “Octopus.” As a musician, he's performed with Sara Bareilles, Philip Glass, T Bone Burnett, Laurie Anderson, Jon Batiste, and others.Episode Websitewww.creativeprocess.info/podInstagram:@creativeprocesspodcastEpisode Websitewww.creativeprocess.info/podInstagram:@creativeprocesspodcast
The Creative Process in 10 minutes or less · Arts, Culture & Society
“What I meant when I said there is no AI is that I don't think we serve ourselves well when we put our own technology up as if it were a new God that we created. I think we confuse ourselves too easily. This goes back to Alan Turing, the main founder of computer science, who had this idea of the Turing test. In the test, you can't tell whether the computer has gotten more human-like or the human has gotten more computer-like. People are very prone to becoming more computer-like. When we're on social media, we let ourselves be guided by the algorithms, so we start to become dumb in the way the algorithms want us to. You see that all the time. It's really degraded our psychologies and our society.”Jaron Lanier is a pioneering technologist, writer, and musician, best known for coining the term “Virtual Reality” and founding VPL Research, the first company to sell VR products. He led early breakthroughs in virtual worlds, avatars, and VR applications in fields like surgery and media. Lanier writes on the philosophy and economics of technology in his bestselling book Who Owns the Future? and You Are Not a Gadget. His book Dawn of the New Everything: Encounters with Reality and Virtual Reality is an inventive blend of autobiography, science writing, and philosophy. Lanier has been named one of TIME's 100 most influential people and serves as Prime Unifying Scientist at Microsoft's Office of the CTO—aka “Octopus.” As a musician, he's performed with Sara Bareilles, Philip Glass, T Bone Burnett, Laurie Anderson, Jon Batiste, and others.Episode Websitewww.creativeprocess.info/podInstagram:@creativeprocesspodcastEpisode Websitewww.creativeprocess.info/podInstagram:@creativeprocesspodcast
“What I meant when I said there is no AI is that I don't think we serve ourselves well when we put our own technology up as if it were a new God that we created. I think we confuse ourselves too easily. This goes back to Alan Turing, the main founder of computer science, who had this idea of the Turing test. In the test, you can't tell whether the computer has gotten more human-like or the human has gotten more computer-like. People are very prone to becoming more computer-like. When we're on social media, we let ourselves be guided by the algorithms, so we start to become dumb in the way the algorithms want us to. You see that all the time. It's really degraded our psychologies and our society.”Jaron Lanier is a pioneering technologist, writer, and musician, best known for coining the term “Virtual Reality” and founding VPL Research, the first company to sell VR products. He led early breakthroughs in virtual worlds, avatars, and VR applications in fields like surgery and media. Lanier writes on the philosophy and economics of technology in his bestselling book Who Owns the Future? and You Are Not a Gadget. His book Dawn of the New Everything: Encounters with Reality and Virtual Reality is an inventive blend of autobiography, science writing, and philosophy. Lanier has been named one of TIME's 100 most influential people and serves as Prime Unifying Scientist at Microsoft's Office of the CTO—aka “Octopus.” As a musician, he's performed with Sara Bareilles, Philip Glass, T Bone Burnett, Laurie Anderson, Jon Batiste, and others.Episode Websitewww.creativeprocess.info/podInstagram:@creativeprocesspodcastEpisode Websitewww.creativeprocess.info/podInstagram:@creativeprocesspodcast
“AI is obviously the dominant topic in tech lately, and I think occasionally there's AI that's nonsense, and occasionally there's AI that's great. I love finding new proteins for medicine and so on. I don't think we serve ourselves well when we put our own technology up as if it were a new God that we created. I think we're really getting a little too full of ourselves to think that. This goes back to Alan Turing, the main founder of computer science, who had this idea of the Turing test. In the test, you can't tell whether the computer has gotten more human-like or the human has gotten more computer-like. People are very prone to becoming more computer-like. When we're on social media, we let ourselves be guided by the algorithms, so we start to become dumb in the way the algorithms want us to. You see that all the time. It's really degraded our psychologies and our society.”Jaron Lanier is a pioneering technologist, writer, and musician, best known for coining the term “Virtual Reality” and founding VPL Research, the first company to sell VR products. He led early breakthroughs in virtual worlds, avatars, and VR applications in fields like surgery and media. Lanier writes on the philosophy and economics of technology in his bestselling book Who Owns the Future? and You Are Not a Gadget. His book Dawn of the New Everything: Encounters with Reality and Virtual Reality is an inventive blend of autobiography, science writing, and philosophy. Lanier has been named one of TIME's 100 most influential people and serves as Prime Unifying Scientist at Microsoft's Office of the CTO—aka “Octopus.” As a musician, he's performed with Sara Bareilles, Philip Glass, T Bone Burnett, Laurie Anderson, Jon Batiste, and others.Episode Websitewww.creativeprocess.info/podInstagram:@creativeprocesspodcastPhoto credit: Michael Springer
“AI is obviously the dominant topic in tech lately, and I think occasionally there's AI that's nonsense, and occasionally there's AI that's great. I love finding new proteins for medicine and so on. I don't think we serve ourselves well when we put our own technology up as if it were a new God that we created. I think we're really getting a little too full of ourselves to think that. This goes back to Alan Turing, the main founder of computer science, who had this idea of the Turing test. In the test, you can't tell whether the computer has gotten more human-like or the human has gotten more computer-like. People are very prone to becoming more computer-like. When we're on social media, we let ourselves be guided by the algorithms, so we start to become dumb in the way the algorithms want us to. You see that all the time. It's really degraded our psychologies and our society.”Jaron Lanier is a pioneering technologist, writer, and musician, best known for coining the term “Virtual Reality” and founding VPL Research, the first company to sell VR products. He led early breakthroughs in virtual worlds, avatars, and VR applications in fields like surgery and media. Lanier writes on the philosophy and economics of technology in his bestselling book Who Owns the Future? and You Are Not a Gadget. His book Dawn of the New Everything: Encounters with Reality and Virtual Reality is an inventive blend of autobiography, science writing, and philosophy. Lanier has been named one of TIME's 100 most influential people and serves as Prime Unifying Scientist at Microsoft's Office of the CTO—aka “Octopus.” As a musician, he's performed with Sara Bareilles, Philip Glass, T Bone Burnett, Laurie Anderson, Jon Batiste, and others.Episode Websitewww.creativeprocess.info/podInstagram:@creativeprocesspodcastPhoto credit: Michael Springer
“AI is obviously the dominant topic in tech lately, and I think occasionally there's AI that's nonsense, and occasionally there's AI that's great. I love finding new proteins for medicine and so on. I don't think we serve ourselves well when we put our own technology up as if it were a new God that we created. I think we're really getting a little too full of ourselves to think that. This goes back to Alan Turing, the main founder of computer science, who had this idea of the Turing test. In the test, you can't tell whether the computer has gotten more human-like or the human has gotten more computer-like. People are very prone to becoming more computer-like. When we're on social media, we let ourselves be guided by the algorithms, so we start to become dumb in the way the algorithms want us to. You see that all the time. It's really degraded our psychologies and our society.”Jaron Lanier is a pioneering technologist, writer, and musician, best known for coining the term “Virtual Reality” and founding VPL Research, the first company to sell VR products. He led early breakthroughs in virtual worlds, avatars, and VR applications in fields like surgery and media. Lanier writes on the philosophy and economics of technology in his bestselling book Who Owns the Future? and You Are Not a Gadget. His book Dawn of the New Everything: Encounters with Reality and Virtual Reality is an inventive blend of autobiography, science writing, and philosophy. Lanier has been named one of TIME's 100 most influential people and serves as Prime Unifying Scientist at Microsoft's Office of the CTO—aka “Octopus.” As a musician, he's performed with Sara Bareilles, Philip Glass, T Bone Burnett, Laurie Anderson, Jon Batiste, and others.Episode Websitewww.creativeprocess.info/podInstagram:@creativeprocesspodcastPhoto credit: Michael Springer
“AI is obviously the dominant topic in tech lately, and I think occasionally there's AI that's nonsense, and occasionally there's AI that's great. I love finding new proteins for medicine and so on. I don't think we serve ourselves well when we put our own technology up as if it were a new God that we created. I think we're really getting a little too full of ourselves to think that. This goes back to Alan Turing, the main founder of computer science, who had this idea of the Turing test. In the test, you can't tell whether the computer has gotten more human-like or the human has gotten more computer-like. People are very prone to becoming more computer-like. When we're on social media, we let ourselves be guided by the algorithms, so we start to become dumb in the way the algorithms want us to. You see that all the time. It's really degraded our psychologies and our society.”Jaron Lanier is a pioneering technologist, writer, and musician, best known for coining the term “Virtual Reality” and founding VPL Research, the first company to sell VR products. He led early breakthroughs in virtual worlds, avatars, and VR applications in fields like surgery and media. Lanier writes on the philosophy and economics of technology in his bestselling book Who Owns the Future? and You Are Not a Gadget. His book Dawn of the New Everything: Encounters with Reality and Virtual Reality is an inventive blend of autobiography, science writing, and philosophy. Lanier has been named one of TIME's 100 most influential people and serves as Prime Unifying Scientist at Microsoft's Office of the CTO—aka “Octopus.” As a musician, he's performed with Sara Bareilles, Philip Glass, T Bone Burnett, Laurie Anderson, Jon Batiste, and others.Episode Websitewww.creativeprocess.info/podInstagram:@creativeprocesspodcastPhoto credit: Michael Springer
“AI is obviously the dominant topic in tech lately, and I think occasionally there's AI that's nonsense, and occasionally there's AI that's great. I love finding new proteins for medicine and so on. I don't think we serve ourselves well when we put our own technology up as if it were a new God that we created. I think we're really getting a little too full of ourselves to think that. This goes back to Alan Turing, the main founder of computer science, who had this idea of the Turing test. In the test, you can't tell whether the computer has gotten more human-like or the human has gotten more computer-like. People are very prone to becoming more computer-like. When we're on social media, we let ourselves be guided by the algorithms, so we start to become dumb in the way the algorithms want us to. You see that all the time. It's really degraded our psychologies and our society.”Jaron Lanier is a pioneering technologist, writer, and musician, best known for coining the term “Virtual Reality” and founding VPL Research, the first company to sell VR products. He led early breakthroughs in virtual worlds, avatars, and VR applications in fields like surgery and media. Lanier writes on the philosophy and economics of technology in his bestselling book Who Owns the Future? and You Are Not a Gadget. His book Dawn of the New Everything: Encounters with Reality and Virtual Reality is an inventive blend of autobiography, science writing, and philosophy. Lanier has been named one of TIME's 100 most influential people and serves as Prime Unifying Scientist at Microsoft's Office of the CTO—aka “Octopus.” As a musician, he's performed with Sara Bareilles, Philip Glass, T Bone Burnett, Laurie Anderson, Jon Batiste, and others.Episode Websitewww.creativeprocess.info/podInstagram:@creativeprocesspodcastPhoto credit: Michael Springer
AI Unraveled: Latest AI News & Trends, Master GPT, Gemini, Generative AI, LLMs, Prompting, GPT Store
On April 1st, 2025, the AI landscape experienced significant activity, with OpenAI announcing its first open-weights model in years amidst competitive pressures and securing a massive $40 billion investment, despite ongoing debate around its structure. Other notable developments included SpaceX's inaugural crewed polar mission and Intel's strategic realignment focusing on core semiconductor and AI technologies. Furthermore, advancements in AI video generation from Runway, AI browser agents from Amazon, and brain-to-speech technology highlighted rapid innovation, while regulatory challenges for Meta in Europe and power constraints for Musk's xAI supercomputer underscored the complexities of AI's growth. A study indicated GPT-4.5 surpassing humans in a Turing test, and new AI tools are aiding protein decoding and enhancing features in Microsoft's Copilot Plus PCs. Additionally, various companies launched new AI products and secured substantial funding, demonstrating the continued dynamism of the AI sector across different applications.
It's a bit surprising to hear a writer known for building worlds that incorporate deep historical research and elaborate technological details extol the virtues of play, but Ken Liu tells critic Rose Casey and host Sarah Wasserman that if “your idea of heaven doesn't include play, then I'm not sure it's a heaven people want to go to.” It turns out that Ken—acclaimed translator and author of the “silkpunk” epic fantasy series Dandelion Dynasty and the award-winning short story collection The Paper Menagerie—is deeply serious about play. Speaking about play as the key to technological progress, Ken and Rose discuss the importance of whimsy and the inextricable relationship between imagination and usefulness. For Ken, whose Dandelion Dynasty makes heroes of engineers instead of wizards or knights, precise machinery and innovative gadgets are born, like novels, of imagination. Ken himself might be best described as a meticulous, dedicated tinkerer—a writer playing with the materials and stories of the past to help us encounter new worlds in the present. So even if trying to explain his craft is “like asking fish how they swim,” Ken jumps in and discusses how he writes at such different lengths (hint: the longer the book, the more elephantine) and what he makes of different genre labels, from fantasy to historical fiction. We also learn why Ken is a fan of Brat Summer and still thinking about the Roman Empire. Mentioned in this episode: Ken Liu, Speaking Bones (2022), The Veiled Throne (2021), The Wall of Storms (2017), The Grace of Kings (2016), The Paper Menagerie and Other Stories (2016) Cixin Liu, The Three-Body Problem (2014) Rose Casey, Jessica Wilkerson, Johanna Winant, “An Open Letter from Faculty at West Virginia University” (2023) Rose Casey, “In Defense of Higher Education” (2024) Ursula K. LeGuin, “The Ones Who Walk Away from Omelas” (1973) Homer, The Odyssey Virgil, The Aeneid John Milton, Paradise Lost A.M. Turing, “Computing Machinery and Intelligence” (1950) Brat Summer 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 a bit surprising to hear a writer known for building worlds that incorporate deep historical research and elaborate technological details extol the virtues of play, but Ken Liu tells critic Rose Casey and host Sarah Wasserman that if “your idea of heaven doesn't include play, then I'm not sure it's a heaven people want to go to.” It turns out that Ken—acclaimed translator and author of the “silkpunk” epic fantasy series Dandelion Dynasty and the award-winning short story collection The Paper Menagerie—is deeply serious about play. Speaking about play as the key to technological progress, Ken and Rose discuss the importance of whimsy and the inextricable relationship between imagination and usefulness. For Ken, whose Dandelion Dynasty makes heroes of engineers instead of wizards or knights, precise machinery and innovative gadgets are born, like novels, of imagination. Ken himself might be best described as a meticulous, dedicated tinkerer—a writer playing with the materials and stories of the past to help us encounter new worlds in the present. So even if trying to explain his craft is “like asking fish how they swim,” Ken jumps in and discusses how he writes at such different lengths (hint: the longer the book, the more elephantine) and what he makes of different genre labels, from fantasy to historical fiction. We also learn why Ken is a fan of Brat Summer and still thinking about the Roman Empire. Mentioned in this episode: Ken Liu, Speaking Bones (2022), The Veiled Throne (2021), The Wall of Storms (2017), The Grace of Kings (2016), The Paper Menagerie and Other Stories (2016) Cixin Liu, The Three-Body Problem (2014) Rose Casey, Jessica Wilkerson, Johanna Winant, “An Open Letter from Faculty at West Virginia University” (2023) Rose Casey, “In Defense of Higher Education” (2024) Ursula K. LeGuin, “The Ones Who Walk Away from Omelas” (1973) Homer, The Odyssey Virgil, The Aeneid John Milton, Paradise Lost A.M. Turing, “Computing Machinery and Intelligence” (1950) Brat Summer 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 such an honor to welcome Giuseppe Longo to the pod! Professor Giuseppe Longo is the Research Director Emeritus at Centre National de la Recherche Scientifique at the École Normale Supérieure in Paris. His work spans mathematics, computer science, biology, especially through the connective theoretical tissue of epistemology. Our conversation orbits around the limitations (or specific capacities) of computation, especially as computation becomes more and more central to mainstream theories of thought, being, life, and even physics. Longo pushes back on computationalism, grounding his critique in the sciences and in mathematics, especially as it becomes more and more established as an ideological foundation underneath applied biological research. No, for Longo the body is not a computer, the brain is not a computer, the world is not a computer, and the universe is not a computer — a computer is something altogether very specific, and should be afforded the dignity of its specificity. The title of this episode (imperative pythagoreanism) refers to pythagoreanism (the ancient worship of numbers in the 6th-4th century cult of Pythagorus, specifically the idea that the universe is fundamentally made of and reducible to numbers) and the imperative mode of computation (a determinative command structure).
Hidden in the 1950 academic paper that launched the famous 'Turning Test' of machine intelligence, is a strange mystery. British cryptographer Alan Turning argued that humans might always be able to outsmart machines, because we have supernatural powers like ESP, telepathy, and telekinesis. Turing's belief in the paranormal is just one part of the spooky side of AI. Like hauntings or seances, artificial intelligence is an exercise in self-deception; we imagine intelligence from computation and data, just like we imagine ghosts from strange lights and bumps in the night.
MISES EN SCENE le mercredi et vendredi à 9h30 et 18h30. Chronique théâtrale animée par Sonia Jucquin ou Géraldine Elbaz qui traite de l'actualité des pièces de théâtre. Cette semaine, Géraldine nous parle de la pièce "Le Secret des Secrets" de Benoît Solès au théâtre Rive Gauche. Après "La Machine de Turing" et "La Maison du loup", Benoit Solès vous convie à une nouvelle découverte ! D'après une histoire vraie, de Londres à Moscou, aux frontières de la science et des arts occultes, remontez le temps et la connaissance pour une chasse au trésor hors du commun. Percerez-vous le secret des secrets ? Informations : https://www.theatre-rive-gauche.com/a-l-affiche-le-secret-des-secrets.html © Presse Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.
As AI companies race to improve the accuracy of large language models (LLMs) and apps built on top of them, a startup that has emerged as a key partner in that effort is announcing a significant round of funding. Turing, which works with armies of engineers to contribute code to AI projects Learn more about your ad choices. Visit podcastchoices.com/adchoices
Federico Barbero (DeepMind/Oxford) is the lead author of "Transformers Need Glasses!". Have you ever wondered why LLMs struggle with seemingly simple tasks like counting or copying long strings of text? We break down the theoretical reasons behind these failures, revealing architectural bottlenecks and the challenges of maintaining information fidelity across extended contexts.Federico explains how these issues are rooted in the transformer's design, drawing parallels to over-squashing in graph neural networks and detailing how the softmax function limits sharp decision-making.But it's not all bad news! Discover practical "glasses" that can help transformers see more clearly, from simple input modifications to architectural tweaks.SPONSOR MESSAGES:***CentML offers competitive pricing for GenAI model deployment, with flexible options to suit a wide range of models, from small to large-scale deployments. Check out their super fast DeepSeek R1 hosting!https://centml.ai/pricing/Tufa AI Labs is a brand new research lab in Zurich started by Benjamin Crouzier focussed on o-series style reasoning and AGI. They are hiring a Chief Engineer and ML engineers. Events in Zurich. Goto https://tufalabs.ai/***https://federicobarbero.com/TRANSCRIPT + RESEARCH:https://www.dropbox.com/s/h7ys83ztwktqjje/Federico.pdf?dl=0TOC:1. Transformer Limitations: Token Detection & Representation[00:00:00] 1.1 Transformers fail at single token detection[00:02:45] 1.2 Representation collapse in transformers[00:03:21] 1.3 Experiment: LLMs fail at copying last tokens[00:18:00] 1.4 Attention sharpness limitations in transformers2. Transformer Limitations: Information Flow & Quantization[00:18:50] 2.1 Unidirectional information mixing[00:18:50] 2.2 Unidirectional information flow towards sequence beginning in transformers[00:21:50] 2.3 Diagonal attention heads as expensive no-ops in LAMA/Gemma[00:27:14] 2.4 Sequence entropy affects transformer model distinguishability[00:30:36] 2.5 Quantization limitations lead to information loss & representational collapse[00:38:34] 2.6 LLMs use subitizing as opposed to counting algorithms3. Transformers and the Nature of Reasoning[00:40:30] 3.1 Turing completeness conditions in transformers[00:43:23] 3.2 Transformers struggle with sequential tasks[00:45:50] 3.3 Windowed attention as solution to information compression[00:51:04] 3.4 Chess engines: mechanical computation vs creative reasoning[01:00:35] 3.5 Epistemic foraging introducedREFS:[00:01:05] Transformers Need Glasses!, Barbero et al.https://proceedings.neurips.cc/paper_files/paper/2024/file/b1d35561c4a4a0e0b6012b2af531e149-Paper-Conference.pdf[00:05:30] Softmax is Not Enough, Veličković et al.https://arxiv.org/abs/2410.01104[00:11:30] Adv Alg Lecture 15, Chawlahttps://pages.cs.wisc.edu/~shuchi/courses/787-F09/scribe-notes/lec15.pdf[00:15:05] Graph Attention Networks, Veličkovićhttps://arxiv.org/abs/1710.10903[00:19:15] Extract Training Data, Carlini et al.https://arxiv.org/pdf/2311.17035[00:31:30] 1-bit LLMs, Ma et al.https://arxiv.org/abs/2402.17764[00:38:35] LLMs Solve Math, Nikankin et al.https://arxiv.org/html/2410.21272v1[00:38:45] Subitizing, Railohttps://link.springer.com/10.1007/978-1-4419-1428-6_578[00:43:25] NN & Chomsky Hierarchy, Delétang et al.https://arxiv.org/abs/2207.02098[00:51:05] Measure of Intelligence, Chollethttps://arxiv.org/abs/1911.01547[00:52:10] AlphaZero, Silver et al.https://pubmed.ncbi.nlm.nih.gov/30523106/[00:55:10] Golden Gate Claude, Anthropichttps://www.anthropic.com/news/golden-gate-claude[00:56:40] Chess Positions, Chase & Simonhttps://www.sciencedirect.com/science/article/abs/pii/0010028573900042[01:00:35] Epistemic Foraging, Fristonhttps://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2016.00056/full
Marcelo Finger, um dos principais nomes em IA no País, aborda o tema e seus desdobramentos quase que diários, todas as 6ªs, às 8h, no Jornal Eldorado.See omnystudio.com/listener for privacy information.
It feels like 2010 again - the bloggers are debating the proofs for the existence of God. I found these much less interesting after learning about Max Tegmark's mathematical universe hypothesis, and this doesn't seem to have reached the Substack debate yet, so I'll put it out there. Tegmark's hypothesis says: all possible mathematical objects exist. Consider a mathematical object like a cellular automaton - a set of simple rules that creates complex behavior. The most famous is Conway's Game of Life; the second most famous is the universe. After all, the universe is a starting condition (the Big Bang) and a set of simple rules determining how the starting condition evolves over time (the laws of physics). Some mathematical objects contain conscious observers. Conway's Life might be like this: it's Turing complete, so if a computer can be conscious then you can get consciousness in Life. If you built a supercomputer and had it run the version of Life with the conscious being, then you would be “simulating” the being, and bringing it into existence. There would be something it was like to be that being; it would have thoughts and experiences and so on. https://www.astralcodexten.com/p/tegmarks-mathematical-universe-defeats
The Scoop's host, Frank Chaparro, was joined by Ryze Labs Founder and Managing Partner Matthew Graham. In this episode, Chaparro and Graham discussed the intersection of the crypto market, AI, and robotics, with Graham highlighting several key technological advancements that could have a profound impact on how the markets function and alter humanity's role in them. OUTLINE 00:00 Introduction and market overview 1:30 AI x Crypto: current trends 08:16 The Turing test 12:19 The future of AI companions 18:33 The human edge in an AI world 19:54 The AI economy 24:46 Robotics 30:33 Investigating and investing in hardware 39:36 Looking ahead and conclusion GUEST LINKS Matthew Graham - https://www.linkedin.com/in/mattysino/ Matthew Graham on X - https://x.com/mattyryze Ryze Labs - https://x.com/RyzeLabs Ryze Labs on X - https://www.ryzelabs.io/en/home
Turing just raised a $14 million Series A to further develop its Artificial Intelligence solutions applied to ware. Curious about the full story? Listen to this!More #water insights? Connect with me on Linkedin: https://www.linkedin.com/in/antoinewalter1/Big thanks to my sponsor, SimpleLab: https://gosimplelab.com/#️⃣ All the Links Mentioned in this Video #️⃣Turing's Series A: https://theturingcompany.com/turing-secures-14-million-to-scale-ai-powered-water-management-solutions/Hiep Le's Linkedin: https://www.linkedin.com/in/hiep-le-187a7a14/Prakash Govindan's appearance on the podcast: https://smartlink.ausha.co/dont-waste-water/s11e1-an-unpopular-challenging-yet-true-take-on-venture-capital-in-water
Stephen Wolfram answers questions from his viewers about the history of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaQuestions include: - Can you talk about the history of pi? - "Pi day of the century." - Is pi still being researched today? Or is it a solidified concept? - Was there always a connection between "pi" and "pie"? - Can pi be used for data compression? - Is the only reason pi shows up more than tau because we USE pi more often? - If we used tau, it would have been 24/tau^2 instead of 6/pi^2, right? - How was your experience with slide rules? Did Leibniz or Newton use tools like a slide rule? - My 8th-grade (1983-ish) teacher didn't allow calculators, but he let me use my slide rule. - Would you rather be stuck with just a slide rule or just an abacus? - What is your favorite "artifact from the past" that you own... any interesting stories? - What's your favorite artifact from the future? - Many key ideas in computer science existed before we had the hardware to implement them (Turing's computer, neural networks in the 1940s). What ideas today do you think are ahead of their time in the same way? - Technology has progressed at an incredible rate during the last two centuries. That seems quite unusual relative to other periods in history. Are we bound to enter a new era of stagnation or regression? Or can we just keep going? - How would you think about cellular automata if you were born in, say, ancient Greece/Rome or Egypt? Or even the 1800s? - Is there a history of people discovering the concept of the ruliad and thinking about it from a different perspective (mathematical, scientific, religious or otherwise)? - I would be interested in hearing about the bug of Alan Turing. - It seems like our definitions of "science" and "technology" have evolved over the years. Are they historically the same thing?
A new history of human intelligence that argues that humans know themselves by knowing their machines.We imagine that we are both in control of and controlled by our bodies—autonomous and yet automatic. This entanglement, according to David W. Bates, emerged in the seventeenth century when humans first built and compared themselves with machines. Reading varied thinkers from Descartes to Kant to Turing, Bates reveals how time and time again technological developments offered new ways to imagine how the body's automaticity worked alongside the mind's autonomy. Tracing these evolving lines of thought, An Artificial History of Natural Intelligence offers a new theorization of the human as a being that is dependent on technology and produces itself as an artificial automaton without a natural, outside origin.Buy the book from Wellington Square Bookshop - https://www.wellingtonsquarebooks.com/book/9780226832104
Stephen Wolfram answers questions from his viewers about the history of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaQuestions include: When was complexity science invented? Was there a further back history than digital? - They always forget Aristarchus. - What role did category and type theory play for mathematics? - How would you think about approaching alchemical literature, knowing that it mostly employed coded language rather than being about literal transmutation into gold? - Was Newton not an alchemist? - The real secret is it's tungsten that can be turned into gold, hence the name "Wolfram Research." - Dirac, Einstein, Turing and Feynman are sitting in a room. What is the single word they all immediately agree on? - So... Dirac answered in Dirac delta function style?
AI in Public Health & Medicine For more information checkout: (1) Turing, A. M. (1950). Computing Machinery and Intelligence. Mind, 59(236), 433–460. DOI (2) Wiener, N. (1948). Cybernetics: Or Control and Communication in the Animal and the Machine. MIT Press. (3) McCarthy, J., Minsky, M. L., Rochester, N., & Shannon, C. E. (1955). A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence. (4) Newell, A., & Simon, H. A. (1956). The Logic Theory Machine—A Complex Information Processing System. IRE Transactions on Information Theory, 2(3), 61–79. DOI (5) Weizenbaum, J. (1966). ELIZA—A Computer Program for the Study of Natural Language Communication Between Man and Machine. Communications of the ACM, 9(1), 36–45. DOI (6) Crevier, D. (1993). AI: The Tumultuous History of the Search for Artificial Intelligence. Basic Books. (7) Feigenbaum, E. A., & McCorduck, P. (1983). The Fifth Generation: Artificial Intelligence and Japan's Computer Challenge to the World. Addison-Wesley. (8) Campbell, M., Hoane, A. J., & Hsu, F. H. (2002). Deep Blue. Artificial Intelligence, 134(1–2), 57–83. DOI (9) Silver, D., et al. (2016). Mastering the game of Go with deep neural networks and tree search. Nature, 529(7587), 484–489. DOI (10) Brown, T., et al. (2020). Language Models are Few-Shot Learners. Advances in Neural Information Processing Systems. (11) Ramesh, A., et al. (2021). Zero-Shot Text-to-Image Generation. OpenAI. (12) Binns, R. (2018). Fairness in Machine Learning: Lessons from Political Philosophy. Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. DOI (13) Statista Research Department. (2023). Daily Per Capita Data Interactions Worldwide. (14) "AI in Health Care: Applications, Benefits, and Examples" Authors: Coursera Team Published: October 2024 (15) "AI in Healthcare: Benefits and Examples" Authors: Cleveland Clinic Health Essentials Published: September 2024 (16) "AI in Healthcare: The Future of Patient Care and Health Management" Authors: Mayo Clinic Press Published: March 2024 (17) "10 Top Artificial Intelligence (AI) Applications in Healthcare" Authors: VentureBeat Staff Published: August 2022 (18) "10 Real-World Examples of AI in Healthcare" Authors: Philips News Center Published: November 2022 (19) "AI in Healthcare: Uses, Examples & Benefits" Authors: Built In Staff Published: November 2024 (20) "Artificial Intelligence in Health Care: Benefits and Challenges of Machine Learning in Drug Development" Authors: U.S. Government Accountability Office Published: December 2020 (21) "Integrated Multimodal Artificial Intelligence Framework for Healthcare Applications" Authors: Luis R. Soenksen, Yu Ma, Cynthia Zeng, Leonard D. J. Boussioux, Kimberly Villalobos Carballo, Liangyuan Na, Holly M. Wiberg, Michael L. Li, Ignacio Fuentes, Dimitris Bertsimas Published: February 2022 (22) "Remote Patient Monitoring Using Artificial Intelligence: Current State, Applications, and Challenges" Authors: Thanveer Shaik, Xiaohui Tao, Niall Higgins, Lin Li, Raj Gururajan, Xujuan Zhou, U. Rajendra Acharya Published: January 2023 (23) Artificial Intelligence in Medicine and Healthcare: A Review and Classification of Current and Near-Future Applications and Their Ethical and Social Impact" Authors: Emilio Gómez-González, Emilia Gómez, Javier Márquez-Rivas, Manuel Guerrero-Claro, Isabel Fernández-Lizaranzu, María Isabel Relimpio-López, Manuel E. Dorado, María José Mayorga-Buiza, Guillermo Izquierdo-Ayuso, Luis Capitán-Morales Published: January 2020 (24) Parums DV. Editorial: Infectious Disease Surveillance Using Artificial Intelligence (AI) and its Role in Epidemic and Pandemic Preparedness. Med Sci Monit. 2023;29:e941209. Published 2023 Jun 1. doi:10.12659/MSM.941209 (25) Chen, S., Yu, J., Chamouni, S. et al. Integrating machine learning and artificial intelligence in life-course epidemiology: pathways to innovative public health solutions. BMC Med 22, 354 (2024). (26) Abdulkareem M, Petersen SE. The Promise of AI in Detection, Diagnosis, and Epidemiology for Combating COVID-19: Beyond the Hype. Front Artif Intell. 2021;4:652669. Published 2021 May 14. doi:10.3389/frai.2021.652669 (27) Hamilton AJ, Strauss AT, Martinez DA, et al. Machine learning and artificial intelligence: applications in healthcare epidemiology. Antimicrob Steward Healthc Epidemiol. 2021;1(1):e28. Published 2021 Oct 7. doi:10.1017/ash.2021.192
durée : 01:49:02 - Les Grandes Traversées - par : Amaury Chardeau - "Très rapidement, il est tombé dans l'oubli, jusqu'à ce qu'on le réveille, comme Blanche-Neige, par un baiser. Cinquante ans plus tard, le monde reconnait enfin le grand penseur qu'il fut" David Lagercrantz - réalisation : Yvon Croizier - invités : Laurent Lemire Journaliste; Andrew Hodges Mathématicien et auteur, en 1983, de la première biographie d'Alan Turing; Anastasia Christophilopoulou Conservatrice au Fitzwilliam Museum de Cambridge; Dermot Turing Juriste et expert en histoire du décodage, neveu d'Alan Turing; Arnaud Delalande Écrivain et scénariste; Jonathan Swinton Chercheur en histoire des mathématiques et des théories biologiques à Manchester; David Lagercrantz Écrivain; Nadine (le prénom a été modifié) Historienne à la DGSE; Pierre Mounier-Kuhn Historien, chercheur au CNRS et à l'Université Paris-Sorbonne; James Sumner Historien des technologies à l'université de Manchester; Bill Burgwinkle Professeur de littérature française au King's College de Cambridge; Jean Lassègue Philosophe et épistémologue, chargé de recherche CNRS et membre statutaire du LIAS (LInguistique Anthropologique et Sociolinguistique).; Jean-Gabriel Ganascia Professeur d'informatique à la faculté des sciences de Sorbonne Université et membre senior de l'Institut Universitaire de France; Cédric Villani Mathématicien français et ancien député, médaillé Fields en 2010; Olivier Bousquet Directeur de recherches en Intelligence Artificielle chez Google; Gérard Berry Informaticien, Professeur au Collège de France, membre de l'Académie des sciences; Siri Hustvedt Écrivaine et essayiste; Jean-François Peyret Metteur en scène; Eva Navarro-Lopez Chercheuse en informatique à Manchester; Rodolphe Burger Compositeur, guitariste et chanteur français
durée : 01:49:02 - Les Grandes Traversées - par : Amaury Chardeau - En 1939, la guerre vient d'éclater et Alan Turing, jeune mathématicien britannique sorti de Cambridge, rejoint Bletchley Park où, dans le plus grand secret, les Britanniques tentent de percer les communications ennemies. - réalisation : Yvon Croizier - invités : François Kersaudy Historien; Bruno Fuligni Historien et essayiste; Andrew Hodges Mathématicien et auteur, en 1983, de la première biographie d'Alan Turing; Jean Lassègue Philosophe et épistémologue, chargé de recherche CNRS et membre statutaire du LIAS (LInguistique Anthropologique et Sociolinguistique).; Arnaud Delalande Écrivain et scénariste; Cédric Villani Mathématicien français et ancien député, médaillé Fields en 2010; Pierre Mounier-Kuhn Historien, chercheur au CNRS et à l'Université Paris-Sorbonne; David Kenyon Historien à Bletchley Park; Anastasia Christophilopoulou Conservatrice au Fitzwilliam Museum de Cambridge; Dermot Turing Juriste et expert en histoire du décodage, neveu d'Alan Turing; Nadine (le prénom a été modifié) Historienne à la DGSE; Elliot (le prénom a été modifié) Cryptanalyste à la DGSE
durée : 01:49:02 - Les Grandes Traversées - par : Amaury Chardeau - En 1945, après son apport décisif dans le cassage des codes de l'Enigma allemande pendant la guerre, Turing poursuit ses travaux sur les machines et contribue à la naissance de l'informatique. Retour aux origines d'une intelligence hors-normes. - réalisation : Yvon Croizier - invités : Cédric Villani Mathématicien français et ancien député, médaillé Fields en 2010; Andrew Hodges Mathématicien et auteur, en 1983, de la première biographie d'Alan Turing; Anastasia Christophilopoulou Conservatrice au Fitzwilliam Museum de Cambridge; Jean Lassègue Philosophe et épistémologue, chargé de recherche CNRS et membre statutaire du LIAS (LInguistique Anthropologique et Sociolinguistique).; Laurent Lemire Journaliste; Jean-Gabriel Ganascia Professeur d'informatique à la faculté des sciences de Sorbonne Université et membre senior de l'Institut Universitaire de France; Gérard Berry Informaticien, Professeur au Collège de France, membre de l'Académie des sciences; Pierre Mounier-Kuhn Historien, chercheur au CNRS et à l'Université Paris-Sorbonne; Bill Burgwinkle Professeur de littérature française au King's College de Cambridge; James Sumner Historien des technologies à l'université de Manchester
durée : 01:49:02 - Les Grandes Traversées - par : Amaury Chardeau - Le 8 juin 1954 est découvert dans sa maison des environs de Manchester le corps sans vie d'Alan Turing. A ses côtés, posée sur son lit, une pomme enduite de cyanure. - réalisation : Yvon Croizier - invités : David Lagercrantz Écrivain; Jean Lassègue Philosophe et épistémologue, chargé de recherche CNRS et membre statutaire du LIAS (LInguistique Anthropologique et Sociolinguistique).; Laurent Lemire Journaliste; James Sumner Historien des technologies à l'université de Manchester; Pierre Mounier-Kuhn Historien, chercheur au CNRS et à l'Université Paris-Sorbonne; Dermot Turing Juriste et expert en histoire du décodage, neveu d'Alan Turing; Andrew Hodges Mathématicien et auteur, en 1983, de la première biographie d'Alan Turing; Laurent Alexandre Chirurgien, expert en nouvelles technologies et intelligence artificielle.; Gérard Berry Informaticien, Professeur au Collège de France, membre de l'Académie des sciences; Jean-Gabriel Ganascia Professeur d'informatique à la faculté des sciences de Sorbonne Université et membre senior de l'Institut Universitaire de France; Eva Navarro-Lopez Chercheuse en informatique à Manchester; Mike Cruchten Etudiant à Manchester; Jonathan Swinton Chercheur en histoire des mathématiques et des théories biologiques à Manchester
Se você tem preocupação com a censura e o acesso restrito a conteúdos internacionais, a solução é usar uma VPN. Ao buscar liberdade e segurança na navegação, use a NordVPN, que permite acessar conteúdos globais, encontrar melhores preços e navegar sem rastros. Acesse https://nordvpn.com/cafebrasil para obter um desconto e quatro meses extras grátis, além da opção de reembolso em 30 dias. A Board Academy, referência na formação de conselheiros, tem o Board Club, maior ecossistema de conselheiros da América Latina, que oferece networking, conteúdos exclusivos e eventos conectados às melhores oportunidades. Acesse https://BoardBr.com/CafeBrasil e descubra como dar o próximo salto na sua carreira. Alan Turing foi um gênio matemático que ajudou a vencer a Segunda Guerra Mundial, mas sua inteligência o isolava socialmente. Schopenhauer dizia que pessoas muito inteligentes tendem à solidão, pois enxergam o mundo em profundidade enquanto muitos permanecem na superfície. Será que Turing enfrentou esse dilema? Neste episódio, exploramos como a genialidade pode afastar as pessoas e refletimos sobre a solidão dos cimos: o preço de enxergar além da névoa. Bem-vindo ao Café Brasil.See omnystudio.com/listener for privacy information.
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