Sam Harris speaks with Stuart Russell and Gary Marcus about recent developments in artificial intelligence and the long-term risks of producing artificial general intelligence (AGI). They discuss the limitations of Deep Learning, the surprising power of narrow AI, ChatGPT, a possible misinformation apocalypse, the problem of instantiating human values, the business model of the Internet, the meta-verse, digital provenance, using AI to control AI, the control problem, emergent goals, locking down core values, programming uncertainty about human values into AGI, the prospects of slowing or stopping AI progress, and other topics. If the Making Sense podcast logo in your player is BLACK, you can SUBSCRIBE to gain access to all full-length episodes at samharris.org/subscribe. Learning how to train your mind is the single greatest investment you can make in life. That’s why Sam Harris created the Waking Up app. From rational mindfulness practice to lessons on some of life’s most important topics, join Sam as he demystifies the practice of meditation and explores the theory behind it.

AI skeptic Gary Marcus discusses the dangers of being distracted by generative AI hype, emphasizing the need for a thoughtful approach to AI development. The podcast explores discrepancies between AI capabilities and limitations, risks associated with AI progress, and challenges in industries like medicine and robotics.

Gary Marcus, a cognitive psychologist and computer scientist with a successful AI startup, shares his critical views on generative AI. He argues that society is unprepared for the risks associated with current AI technologies. The conversation emphasizes the need for stringent regulations, drawing parallels to aviation safety. Marcus discusses the dangers of misinformation and deepfakes, advocating for an independent agency to oversee AI developments. He calls for public engagement in shaping ethical AI practices, ensuring technology works for humanity.

Whether we like it or not, artificial intelligence is increasingly empowered to take control of various aspects of our lives. While some tech companies advocate for self-regulation regarding long-term risks, they conveniently overlook critical current concerns like the rampant spread of misinformation, biases in A.I. algorithms, and even A.I.-driven scams. In this episode, Adam is joined by cognitive scientist and esteemed A.I. expert Gary Marcus to enumerate the short and long-term risks posed by artificial intelligence. SUPPORT THE SHOW ON PATREON: https://www.patreon.com/adamconoverSEE ADAM ON TOUR: https://www.adamconover.net/tourdates/SUBSCRIBE to and RATE Factually! on:» Apple Podcasts: https://podcasts.apple.com/us/podcast/factually-with-adam-conover/id1463460577» Spotify: https://open.spotify.com/show/0fK8WJw4ffMc2NWydBlDyJAbout Headgum: Headgum is an LA & NY-based podcast network creating premium podcasts with the funniest, most engaging voices in comedy to achieve one goal: Making our audience and ourselves laugh. Listen to our shows at https://www.headgum.com.» SUBSCRIBE to Headgum: https://www.youtube.com/c/HeadGum?sub_confirmation=1» FOLLOW us on Twitter: http://twitter.com/headgum» FOLLOW us on Instagram: https://instagram.com/headgum/» FOLLOW us on TikTok: https://www.tiktok.com/@headgumSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI is amazing… or terrifying, depending on who you ask. This is a technology that elicits strong, almost existential reactions. So, as a Memorial Day special, we're running an episode of Recode Media with Peter Kafka that digs into the giant ambitions and enormous concerns people have about the very same tech.First up: Joshua Browder (@jbrowder1), a Stanford computer science dropout who tried to get an AI lawyer into court.Then: Microsoft's CTO Kevin Scott (@kevin_scott) pitches a bright AI future. Plus: hype-deflator, cognitive scientist and author Gary Marcus (@GaryMarcus) believes in AI, but he thinks the giants of Silicon Valley are scaling flawed technology now—with potentially dangerous consequences. Subscribe for free to Recode Media to make sure you get the whole series: https://bit.ly/3IOpWuBPivot will return on Friday! Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this discussion, AI expert Prof. Gary Marcus critiques the current state of artificial intelligence, spotlighting its limitations and potential dangers. He expresses concerns about the profit-driven motives of major tech companies, warning that technology could exacerbate issues like fake news and privacy violations. Marcus emphasizes the need for responsible AI development and regulation to protect society from misinformation and erosion of trust. He urges the public to advocate for better AI standards before it’s too late.

Support us! https://www.patreon.com/mlst MLST Discord: https://discord.gg/aNPkGUQtc5 Twitter: https://twitter.com/MLStreetTalk In a historic and candid Senate hearing, OpenAI CEO Sam Altman, Professor Gary Marcus, and IBM's Christina Montgomery discussed the regulatory landscape of AI in the US. The discussion was particularly interesting due to its timing, as it followed the recent release of the EU's proposed AI Act, which could potentially ban American companies like OpenAI and Google from providing API access to generative AI models and impose massive fines for non-compliance. The speakers openly addressed potential risks of AI technology and emphasized the need for precision regulation. This was a unique approach, as historically, US companies have tried their hardest to avoid regulation. The hearing not only showcased the willingness of industry leaders to engage in discussions on regulation but also demonstrated the need for a balanced approach to avoid stifling innovation. The EU AI Act, scheduled to come into power in 2026, is still just a proposal, but it has already raised concerns about its impact on the American tech ecosystem and potential conflicts between US and EU laws. With extraterritorial jurisdiction and provisions targeting open-source developers and software distributors like GitHub, the Act could create more problems than it solves by encouraging unsafe AI practices and limiting access to advanced AI technologies. One core issue with the Act is the designation of foundation models in the highest risk category, primarily due to their open-ended nature. A significant risk theme revolves around users creating harmful content and determining who should be held accountable – the users or the platforms. The Senate hearing served as an essential platform to discuss these pressing concerns and work towards a regulatory framework that promotes both safety and innovation in AI. 00:00 Show 01:35 Legals 03:44 Intro 10:33 Altman intro 14:16 Christina Montgomery 18:20 Gary Marcus 23:15 Jobs 26:01 Scorecards 28:08 Harmful content 29:47 Startups 31:35 What meets the definition of harmful? 32:08 Moratorium 36:11 Social Media 46:17 Gary's take on BingGPT and pivot into policy 48:05 Democratisation

Gary Marcus is a professor emeritus at NYU, founder of Robust.AI and Geometric Intelligence, the latter is a machine learning company acquired by Uber in 2016. He is the author of several books on natural and artificial intelligence, including his new book Rebooting AI: Building Machines We Can Trust. Gary has been a critical voice highlighting the limits of deep learning and discussing the challenges before the AI community that must be solved in order to achieve artificial general intelligence. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on iTunes or support it on Patreon. Here’s the outline with timestamps for this episode (on some players you can click on the timestamp to jump to that point in the episode): 00:00 – Introduction 01:37 – Singularity 05:48 – Physical and psychological knowledge 10:52 – Chess 14:32 – Language vs physical world 17:37 – What does AI look like 100 years from now 21:28 – Flaws of the human mind 25:27 – General intelligence 28:25 – Limits of deep learning 44:41 – Expert systems and symbol manipulation 48:37 – Knowledge representation 52:52 – Increasing compute power 56:27 – How human children learn 57:23 – Innate knowledge and learned knowledge 1:06:43 – Good test of intelligence 1:12:32 – Deep learning and symbol manipulation 1:23:35 – Guitar

Gary Marcus, an AI expert and psychologist, delves into the current state of generative AI and its limitations. He highlights the disconnect between hype and reality in AI advancements, questioning the economic sustainability of AI companies. The discussion touches on the importance of ethical AI development and risk management, as well as the potential for breakthroughs through neuromorphic AI and biomimicry. They advocate for a serious reevaluation of AI governance to mitigate societal impacts, emphasizing the need for meaningful regulatory measures.

Gary Marcus, a prominent AI professor and thought leader, returns to critique the limitations of current large language models. He points out their unreliability and the diminishing returns of merely scaling data and compute. Advocating for a hybrid AI approach that integrates deep learning with symbolic reasoning, he emphasizes the need for systems to truly understand concepts like causality. Marcus also raises ethical concerns about unregulated AI deployment and the possibility of an impending 'AI winter' due to overhyped expectations and lack of accountability.

Gary Marcus, a professor emeritus of psychology and neural science at NYU and the author of “Rebooting AI,” joins Scott to discuss artificial intelligence including the overall hype cycle, ChatGPT, and useful applications. Follow Gary on Twitter, @GaryMarcus.Scott opens with his thoughts on CEO pay, specifically Tim Cook’s pay cut. He then wraps up by discussing a recent partnership between Walmart and Salesforce.Algebra of Happiness: your body is an instrument, not an ornament.  Learn more about your ad choices. Visit podcastchoices.com/adchoices

It’s poised to “change our world.” That’s according to Bill Gates, referencing an advanced AI chatbot called ChatGPT, which seems to be all the rage. The tool, which was developed by OpenAI and backed by a company Gates founded, Microsoft, effectively takes questions from users and produces human-like responses. The "GPT" stands "Generative Pre-trained Transformer," which denotes the design and nature of the artificial intelligence training. And yet despite the chatbot’s swelling popularity, it’s also not without controversy. Everything from privacy and ethical questions to growing concerns about the data it utilizes, has some concerned about the effects it will ultimately have on society. Its detractors fear job loss, a rise in disinformation, and even the compromising long-term effects it could have on humans’ capacity for reason and writing. Its advocates tout the advantages ChatGPT will inevitably lend organizations, its versatility and iterative ability, and the depth and diversity of the data from which it pulls. Against this backdrop, we debate the following question: Will ChatGPT do more harm than good? Arguing "Yes" is Gary Marcus (Author of "Rebooting AI: Building Artificial Intelligence We Can Trust" and Professor Emeritus of Psychology and Neural Science at New York University)Arguing "No" is Keith Teare (Entrepreneur, Author, and CEO & Founder at SignalRank Corporation)Emmy award-winning journalist John Donvan moderates. Take our podcast listener survey here: tinyurl.com/IQ2podcastsurvey Learn more about your ad choices. Visit podcastchoices.com/adchoices

AI skeptic Gary Marcus discusses the dangers of believing in generative AI hype, emphasizing the need for a balanced perspective. They explore the limitations of current AI technology, potential risks like deepfakes, and the importance of AI regulation. The conversation delves into the challenges of achieving Artificial General Intelligence, fact-checking mechanisms, and the balance between skepticism and techno-optimism.

Artificial intelligence is everywhere around us. Deep-learning algorithms are used to classify images, suggest songs to us, and even to drive cars. But the quest to build truly “human” artificial intelligence is still coming up short. Gary Marcus argues that this is not an accident: the features that make neural networks so powerful also prevent them from developing a robust common-sense view of the world. He advocates combining these techniques with a more symbolic approach to constructing AI algorithms.Support Mindscape on Patreon.Gary Marcus received his Ph.D. in cognitive science from MIT. He is founder and CEO of Robust.AI, and was formerly a professor of psychology at NYU as well as founder of Geometric Intelligence. Among his books are Rebooting AI: Building Machines We Can Trust (with Ernest Davis).Web siteWikipediaTwitterAmazon.com author pageSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Gary Marcus, cognitive scientist and AI researcher, discusses the recent advances and risks of generative AI. He explains the limitations of large language models like ChatGPT, their difficulty with truth, and the potential impact on society. Marcus explores future advancements, challenges in technology, and the essential role of humans in AI. He emphasizes the need for effective governance and regulation to ensure transparency and safety in AI systems.

Investor interest in generative AI technology has surged. But is the hype and market pricing around the technology warranted? In this episode of Goldman Sachs Exchanges, Conviction’s Sarah Guo, NYU’s Gary Marcus and Goldman Sachs Research’s Kash Rangan and Eric Sheridan discuss the technology’s disruptive potential. 

Sam Harris speaks with Stuart Russell and Gary Marcus about recent developments in artificial intelligence and the long-term risks of producing artificial general intelligence (AGI). They discuss the limitations of Deep Learning, the surprising power of narrow AI, ChatGPT, a possible misinformation apocalypse, the problem of instantiating human values, the business model of the Internet, the meta-verse, digital provenance, using AI to control AI, the control problem, emergent goals, locking down core values, programming uncertainty about human values into AGI, the prospects of slowing or stopping AI progress, and other topics. Stuart Russell is a Professor of Computer Science at the University of California at Berkeley, holder of the Smith-Zadeh Chair in Engineering, and Director of the Center for Human-Compatible AI. He is an Honorary Fellow of Wadham College, Oxford, an Andrew Carnegie Fellow, and a Fellow of the American Association for Artificial Intelligence, the Association for Computing Machinery, and the American Association for the Advancement of Science. His book, Artificial Intelligence: A Modern Approach, co-authored with Peter Norvig, is the standard text in AI, used in 1500 universities in 135 countries. Russell is also the author of Human Compatible: Artificial Intelligence and the Problem of Control. His research covers a wide range of topics in artificial intelligence, with a current emphasis on the long-term future of artificial intelligence and its relation to humanity. He has developed a new global seismic monitoring system for the nuclear-test-ban treaty and is currently working to ban lethal autonomous weapons. Website: https://people.eecs.berkeley.edu/~russell/ LinkedIn: www.linkedin.com/in/stuartjonathanrussell/   Gary Marcus is a scientist, best-selling author, and entrepreneur. He is well-known for his challenges to contemporary AI, anticipating many of the current limitations decades in advance, and for his research in human language development and cognitive neuroscience. He was Founder and CEO of Geometric Intelligence, a machine-learning company acquired by Uber in 2016. His most recent book, Rebooting AI, co-authored with Ernest Davis, is one of Forbes’s 7 Must Read Books in AI. His podcast Humans versus Machines, will come later this spring. Website: garymarcus.com Twitter: @GaryMarcus   Learning how to train your mind is the single greatest investment you can make in life. That’s why Sam Harris created the Waking Up app. From rational mindfulness practice to lessons on some of life’s most important topics, join Sam as he demystifies the practice of meditation and explores the theory behind it.

Blake Lemoine is the ex-Google engineer who concluded the company's LaMDA chatbot was sentient. Gary Marcus is an academic, author, and outspoken AI critic. The two join Big Technology Podcast to debate the utility of AI chatbots, their dangers, and the actual technology they're built on. Join us for a fascinating conversation that reveals much about the state of this technology. There's plenty to be learned from the disagreements, and the common ground as well.---Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice.For weekly updates on the show, sign up for the pod newsletter on LinkedIn: https://www.linkedin.com/newsletters/6901970121829801984/Questions? Feedback? Write to: bigtechnologypodcast@gmail.com

Gary Marcus and John Lanchester join David to discuss all things AI, from ChatGPT to the Turing test. Why is the Turing test such a bad judge of machine intelligence? If these machines aren’t thinking, what is it they are doing? And what are we doing giving them so much power to shape our lives? Plus we discuss self-driving cars, the coming jobs apocalypse, how children learn, and what it is that makes us truly human.Gary’s new podcast is Humans vs. Machines.Read Turing’s original paper here.Sign up to LRB Close Readings:Directly in Apple: https://apple.co/3pJoFPqIn other podcast apps: lrb.supportingcast.fm Hosted on Acast. See acast.com/privacy for more information. Learn more about your ad choices. Visit megaphone.fm/adchoices

Artificial intelligence has become ambient in our daily lives, scooting us from place to place with turn-by-turn navigation, assisting us with reminders and alarms, and guiding professionals from lawyers and doctors to reaching the best possible decisions with the data they have on hand. Domain-specific AI has also mastered everything from games like Chess and Go to the complicated science of protein folding. Since the debut of ChatGPT in November by OpenAI however, we have seen a volcanic interest in what generative AI can do across text, audio and video. Within just a few weeks, ChatGPT reached 100 million users — arguably the fastest ever for a new product. What are its capabilities and perhaps most importantly given the feverish excitement of this new technology, what are its limitations? We turn to a stalwart of AI criticism, Gary Marcus, to explore more. Marcus is professor emeritus of psychology and neural science at New York University and the founder of machine learning startup Geometric Intelligence, which sold to Uber in 2016. He has been a fervent contrarian on many aspects of our current AI craze, the topic at the heart of his most recent book, Rebooting AI. Unlike most modern AI specialists, he is less enthusiastic about the statistical methods that underlie approaches like deep learning and is instead a forceful advocate for returning — at least partially — to the symbolic methods that the AI field has traditionally explored. In today’s episode of “Securities”, we’re going to talk about the challenges of truth and veracity in the context of fake content driven by tools like Galactica; pose the first ChatGPT written question to Marcus; talk about how much we can rely on AI generated answers; discuss the future of artificial general intelligence; and finally, understand why Marcus thinks AI is not going to be a universal solvent for all human problems.

AI researcher Gary Marcus discusses the urgent risks of untrustworthy AI technology and advocates for a global nonprofit organization to regulate it. He highlights the dangers of misinformation machines, biases in AI systems, and the need for reliable and ethical AI development. The podcast also includes a Q&A with TED's head, Chris Anderson.

Gary Marcus, Professor emeritus at NYU and AI expert, shares his insightful and cautious perspective on the future of artificial intelligence. He humorously recounts the errors of AI tools like ChatGPT while emphasizing the urgent need for responsible development. Marcus advocates for citizen action, including boycotting irresponsible companies and pushing for a regulatory agency for AI. He also discusses the implications of Section 230 in addressing misinformation amid the 2024 election, highlighting the complexities of reform in the face of tech lobbying.

AI safety discussed by Eliezer Yudkowsky, Gary Marcus, and Scott Aaronson. Topics include alignment problem, human extinction due to AI, notion of singularity, and more. Conversation brings something fresh to the topic.

AI has captured the imagination of Silicon Valley seemingly overnight. And in all this excitement, it's hard to tell what's really going on. What is this technology, how does Silicon Valley plan to change our world with it, and what exactly has a bunch of smart people very worried?I'm doing a special series to figure that all out. Over the next three weeks, I'll talk to true AI believers and its sharpest detractors to get the real story about where this technology stands, and what it might mean for us. First up: I meet Joshua Browder (@jbrowder1), a Stanford computer science dropout who tried to get an AI lawyer into court.Then: Microsoft's CTO Kevin Scott (@kevin_scott) pitches me on a bright AI future. (5:10)Plus: I talk to hype-deflator, cognitive scientist and author Gary Marcus (@GaryMarcus). He believes in AI, but he thinks the giants of Silicon Valley are scaling flawed technology now—with potentially dangerous consequences. (25:30)Subscribe for free to Recode Media to make sure you get the whole series.  Learn more about your ad choices. Visit podcastchoices.com/adchoices

Dr. Gary Marcus, a prominent AI scientist and industry critic, shares his insights on the shortcomings of current AI systems. He stresses the urgent need for AI regulation, likening its importance to immigration and financial policies. Marcus challenges the hype around AI capabilities, arguing that true understanding of human intelligence remains elusive. Additionally, he highlights the global AI race and the imperative for international cooperation to ensure ethical governance of AI technologies.

In this insightful discussion, Gary Marcus, an author and advocate for responsible AI development, highlights the critical moral implications of artificial intelligence. He argues that tech companies should be held accountable for the societal harms caused by their products, such as misinformation and cybercrime. Marcus emphasizes the need for stronger governance, proposing a dedicated digital agency and policy innovations to ensure AI benefits democracy rather than jeopardizing it. His call for collective consumer action against unethical practices in AI sets the stage for a more responsible technological future.

In this discussion, Gary Marcus, a prominent AI researcher and author, shares his concerns about AI's potential to both advance society and pose existential threats. He highlights the dangers of unchecked AI power, urging vigilance against Big Tech’s influence on policy. Marcus provides eight solutions to prevent disaster, including strict oversight and data rights. The conversation also delves into moral implications, misinformation, the need for international governance, and how citizens can advocate for responsible AI development. Are we ready for the AI future?

Gary Marcus, a cognitive scientist and tech critic, dives into the deceptive allure of Silicon Valley's promises. He argues that exaggerated tech claims have misled both policymakers and the public. Urging for government intervention, Marcus discusses the necessity of a national AI regulatory agency as election discussions heat up. He emphasizes that AI companies must be held accountable for their societal impact, advocating for ethical practices in technology development and encouraging citizen activism to demand regulation.

Gary Marcus, an author and leading voice on artificial intelligence, joins to delve into his new book, 'Taming Silicon Valley.' He discusses the skepticism surrounding AI and its societal implications, including disinformation and market manipulation. Marcus also critiques the limitations of AI in replicating human perception and the challenges it poses. They explore the intersection of friendship and technology, highlighting the complex dynamics in our modern relationships. The conversation is a compelling look at what AI means for our future.

Gary Marcus, a leading voice in artificial intelligence and advocate for responsible AI, discusses the current generative AI landscape. He addresses the skepticism surrounding the hype and questions whether the AI investment bubble is set to burst. The conversation touches on OpenAI's precarious position amid leadership changes and competition, and the ethical implications of evolving business strategies. Marcus calls for stronger regulations to safeguard user privacy as the tech industry faces potential correction.

Cognitive scientist Gary Marcus challenges AI capabilities, advocating for strict legislation. The podcast delves into debates on AI limitations, data rights for creators, legal liability, and the need for regulations to ensure responsible AI development.