Podcasts about Artificial general intelligence

In today's podcast episode, we discuss what would convince us that Artificial General Intelligence (AGI) has actually arrived, whether OpenAI's GPT-6 Astra is truly a “generational leap,” and what ordinary Americans might do with AGI.   Join Senior Director of Podcasts and host Marcus Johnson, along with Analyst Jacob Bourne and Principal Analyst Yory Wurmser. Listen wherever you get your podcasts, or watch on YouTube or Spotify.   Subscribe to EMARKETER's newsletters. Go to https://www.emarketer.com/newsletters   Follow us on Instagram at: https://www.instagram.com/emarketer/   For sponsorship opportunities, contact us: advertising@emarketer.com   For more information, visit: https://www.emarketer.com/advertise/   Have questions or just want to say hi? Drop us a line at podcast@emarketer.com    For a transcript of this episode, click here: https://www.emarketer.com/content/podcast-why-openai-thinks-agi-here-behind-numbers   © 2026 EMARKETER   Atmosphere TV is the largest streaming TV platform purpose-built for shared, social spaces like bars, restaurants, gyms, and airports. Atmosphere TV is the creator of ChiveTV and 30+ mesmerizing, audio-optional channels that entertain over 150 million monthly viewers.

Ben Horowitz and Erik Torenberg sit down with OpenAI co-founder and President Greg Brockman to discuss why he believes AI has entered a new phase, what OpenAI's latest models reveal about the path to AGI, and the safety and security challenges that come with increasingly capable systems.Greg explains why computer use represents such an important step for agents, including models that can work coherently for 24 hours and interact with software through the same interfaces humans use. He also shares how OpenAI deployed 10,000 agents to tackle the Navier-Stokes problem, and why advances in mathematical reasoning could translate into new approaches to science, software, and cybersecurity.Ben, Erik, and Greg also dig into the “defender's window” for cybersecurity, how AI could reshape work and entrepreneurship, and what the AI assistant of the future might actually look like: persistent, proactive, personalized, and capable of doing work on your behalf rather than waiting for another prompt.Resources:Follow Greg Brockman on X: https://x.com/gdbFollow Ben Horowitz on X: https://x.com/bhorowitz Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Jacob Ward explores the resignation of an Anthropic AI researcher and mounting alarms over AI's potential dangers, while Dan Moren recaps Apple's major iPhone event, new hardware, and controversial AI-powered features. AI researcher Jacob Coxon quits Anthropic, warning the company is "gambling with our lives," an admission echoed by Anthropic's own AI safety leads, as calls for regulation grow louder inside the industry. Apple's iPhone event marks the start of the John Ternus era as CEO, with Tim Cook stepping up to executive chairman and handing off the spotlight at a packed launch. Apple Watch Series 12 and Ultra 4 launch with advanced health sensors and Apple Intelligence-powered "Live Rewind" transcription features, raising questions about privacy, surveillance, and brand identity. Apple finally unveils the iPhone Duo foldable, with a redesigned interface for multitasking and new workflows, aiming to set the standard for premium foldables as pricing and developer adaptation come under scrutiny. Hosts: Mikah Sargent and Jacob Ward Guest: Dan Moren Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit-biz bitwarden.com/twit

Jacob Ward explores the resignation of an Anthropic AI researcher and mounting alarms over AI's potential dangers, while Dan Moren recaps Apple's major iPhone event, new hardware, and controversial AI-powered features. AI researcher Jacob Coxon quits Anthropic, warning the company is "gambling with our lives," an admission echoed by Anthropic's own AI safety leads, as calls for regulation grow louder inside the industry. Apple's iPhone event marks the start of the John Ternus era as CEO, with Tim Cook stepping up to executive chairman and handing off the spotlight at a packed launch. Apple Watch Series 12 and Ultra 4 launch with advanced health sensors and Apple Intelligence-powered "Live Rewind" transcription features, raising questions about privacy, surveillance, and brand identity. Apple finally unveils the iPhone Duo foldable, with a redesigned interface for multitasking and new workflows, aiming to set the standard for premium foldables as pricing and developer adaptation come under scrutiny. Hosts: Mikah Sargent and Jacob Ward Guest: Dan Moren Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit-biz bitwarden.com/twit

Jacob Ward explores the resignation of an Anthropic AI researcher and mounting alarms over AI's potential dangers, while Dan Moren recaps Apple's major iPhone event, new hardware, and controversial AI-powered features. AI researcher Jacob Coxon quits Anthropic, warning the company is "gambling with our lives," an admission echoed by Anthropic's own AI safety leads, as calls for regulation grow louder inside the industry. Apple's iPhone event marks the start of the John Ternus era as CEO, with Tim Cook stepping up to executive chairman and handing off the spotlight at a packed launch. Apple Watch Series 12 and Ultra 4 launch with advanced health sensors and Apple Intelligence-powered "Live Rewind" transcription features, raising questions about privacy, surveillance, and brand identity. Apple finally unveils the iPhone Duo foldable, with a redesigned interface for multitasking and new workflows, aiming to set the standard for premium foldables as pricing and developer adaptation come under scrutiny. Hosts: Mikah Sargent and Jacob Ward Guest: Dan Moren Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit-biz bitwarden.com/twit

Jacob Ward explores the resignation of an Anthropic AI researcher and mounting alarms over AI's potential dangers, while Dan Moren recaps Apple's major iPhone event, new hardware, and controversial AI-powered features. AI researcher Jacob Coxon quits Anthropic, warning the company is "gambling with our lives," an admission echoed by Anthropic's own AI safety leads, as calls for regulation grow louder inside the industry. Apple's iPhone event marks the start of the John Ternus era as CEO, with Tim Cook stepping up to executive chairman and handing off the spotlight at a packed launch. Apple Watch Series 12 and Ultra 4 launch with advanced health sensors and Apple Intelligence-powered "Live Rewind" transcription features, raising questions about privacy, surveillance, and brand identity. Apple finally unveils the iPhone Duo foldable, with a redesigned interface for multitasking and new workflows, aiming to set the standard for premium foldables as pricing and developer adaptation come under scrutiny. Hosts: Mikah Sargent and Jacob Ward Guest: Dan Moren Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit-biz bitwarden.com/twit

Jacob Ward explores the resignation of an Anthropic AI researcher and mounting alarms over AI's potential dangers, while Dan Moren recaps Apple's major iPhone event, new hardware, and controversial AI-powered features. AI researcher Jacob Coxon quits Anthropic, warning the company is "gambling with our lives," an admission echoed by Anthropic's own AI safety leads, as calls for regulation grow louder inside the industry. Apple's iPhone event marks the start of the John Ternus era as CEO, with Tim Cook stepping up to executive chairman and handing off the spotlight at a packed launch. Apple Watch Series 12 and Ultra 4 launch with advanced health sensors and Apple Intelligence-powered "Live Rewind" transcription features, raising questions about privacy, surveillance, and brand identity. Apple finally unveils the iPhone Duo foldable, with a redesigned interface for multitasking and new workflows, aiming to set the standard for premium foldables as pricing and developer adaptation come under scrutiny. Hosts: Mikah Sargent and Jacob Ward Guest: Dan Moren Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit-biz bitwarden.com/twit

Jacob Ward explores the resignation of an Anthropic AI researcher and mounting alarms over AI's potential dangers, while Dan Moren recaps Apple's major iPhone event, new hardware, and controversial AI-powered features. AI researcher Jacob Coxon quits Anthropic, warning the company is "gambling with our lives," an admission echoed by Anthropic's own AI safety leads, as calls for regulation grow louder inside the industry. Apple's iPhone event marks the start of the John Ternus era as CEO, with Tim Cook stepping up to executive chairman and handing off the spotlight at a packed launch. Apple Watch Series 12 and Ultra 4 launch with advanced health sensors and Apple Intelligence-powered "Live Rewind" transcription features, raising questions about privacy, surveillance, and brand identity. Apple finally unveils the iPhone Duo foldable, with a redesigned interface for multitasking and new workflows, aiming to set the standard for premium foldables as pricing and developer adaptation come under scrutiny. Hosts: Mikah Sargent and Jacob Ward Guest: Dan Moren Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit-biz bitwarden.com/twit

OpenAI heeft GPT-6 Astra gelanceerd, de zesde generatie van het taalmodel achter ChatGPT. In het persbericht noemt OpenAI-president Greg Brockman het model de start van het AGI-tijdperk. Astra kan zelfstandig een computer bedienen: spreadsheets doorlopen, formulieren invullen en websites gebruiken, volgens Brockman vaak sneller dan een mens. Verder beperkt OpenAI de toegang tot de cybercapaciteiten van het model. Stijn Goossens vertelt erover in deze Tech Update. AGI staat voor Artificial General Intelligence, een term zonder vaste definitie die doorgaans slaat op AI die de mens in de meeste taken overtreft. Veel AI-bedrijven hebben dat als doel gesteld. Astra kan daarnaast meerdere AI-agents tegelijk aansturen, waarmee het complexe taken accurater afrondt. Toen ChatGPT verscheen draaide de chatbot nog op GPT-3.5. Sindsdien volgden updates elkaar snel op en kwam er veel concurrentie bij. Ook staat een beursgang op de planning, waardoor er voor OpenAI veel op het spel staat. Beperkte toegang vanwege cybercapaciteiten De afgelopen weken kwam AI die bedrijven hackt herhaaldelijk in het nieuws, ook door modellen van OpenAI. Astra is daar in feite ook goed in, en net als bij Anthropic Mythos is het model daarom flink begrensd voor publiek gebruik. Een kleine groep cyberpartners van OpenAI krijgt als eerste toegang tot een geavanceerdere versie. Wanneer het model de komende dagen breder beschikbaar komt, moet het begrensd zijn om misbruik tegen te gaan. Volgens OpenAI is Astra bovendien expliciet getraind om veiliger te zijn dan eerdere modellen, wat het bedrijf alignment noemt. Sam Altman zegt daarnaast dat de AI-sector het verkeerd heeft aangepakt bij het uitleggen wat de maatschappij aan AI heeft, waardoor de angst voor de gevaren nu overheerst. Hoe Astra echt presteert, blijkt pas als het model de komende dagen is uitgerold. OpenAI kondigt GPT-6 Astra aan als nieuwe generatie modellen Brockman noemt computergebruik door Astra het begin van AGI OpenAI beperkt toegang tot de zwaarste cybercapaciteiten van Astra Sam Altman over het debuut van Astra in gesprek met Bloomberg Groep bedrijven mocht het nieuwe OpenAI model alvast testen Over de maker:Stijn Goossens is techredacteur en programmamaker bij BNR Nieuwsradio, met een focus op technologie, wetenschap en innovatie. Bij BNR Beter volgt hij de belangrijkste zorginnovaties, in de liveshows bespreekt hij het actuele technieuws en duidt hij nieuwe wetenschappelijke inzichten. Wekelijks test hij in De Schaal van Hebben de meest spraakmakende techproducten. Ook is hij te horen in de podcast Op de Zaak, met een inkijkje bij buitengewone mkb'ers.See omnystudio.com/listener for privacy information.

How should we understand artificial intelligence, and what place should it have in a genuinely human future? Held at Thomas Aquinas College August 3–6, 2026, The Mind and the Machine brought together philosophers, technologists, educators, and industry leaders to examine artificial intelligence through the perennial questions of the Western intellectual and Catholic traditions. Across lectures, seminars, and panel discussions, speakers explored whether machines can truly reason or become conscious, the promises and dangers of artificial general intelligence, the distinction between intelligence and wisdom, and the implications of AI for human freedom, education, work, faith, and flourishing. Rather than asking only what increasingly powerful machines can do, the symposium returned to a more fundamental question: What is the human person, and what constitutes a truly good human life? The talks examine AI not simply as a technological development, but as an occasion to reconsider reason, virtue, freedom, judgment, wisdom, and the purpose of education. This playlist contains the lectures and conversations from The Mind and the Machine, offering perspectives ranging from optimism about AI as a powerful intellectual tool to serious warnings about its potential to reshape human society and our understanding of ourselves.

When Demis Hassabis co-founded DeepMind in 2010, his mission was simple: solve intelligence, then use it to solve everything else. What began as a scientific quest would eventually become a fierce global AI race.  Today, DeepMind is owned by Google and is one of the world's leading AI labs. Journalist and author Sebastian Mallaby spent years interviewing Hassabis, his collaborators, rivals and critics for his new book, The Infinity Machine. It tells the story of the remarkably small group of people who shaped modern AI. When we recorded this conversation, Hassabis was still CEO of DeepMind, caught between the science he wanted to pursue and the commercial race Google needed him to run. Hours later, he announced he was stepping down as CEO to become Alphabet's (Google's parent company) chief scientist. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send us Fan MailDr. Ben Goertzel is the researcher most often credited with popularizing the term "Artificial General Intelligence," a phrase he helped bring into wide use when he co-published a book under that title in 2005. He is the founder of SingularityNET and the architect behind OpenCog Hyperon, open-source cognitive architectures built on the conviction that large language models alone cannot get humanity to true AGI. His current project, ASI:Chain, is designed to put AGI systems on a decentralized blockchain infrastructure so that no single company, government, or actor can ever seize control of them. He is also the founder of BGI Labs, an organization focused on developing decentralized, democratic, and Beneficial General Intelligence (BGI).  In this episode, recorded live at the AGI-26 Conference, Ben draws on nearly four decades of AI research, from coding neural nets as a teenager to building today's neuro-symbolic systems, to make the case that the biggest risk in AGI is not the technology itself, but who ends up holding the switch.In this conversation, we discuss:Why statistical large language models cannot achieve true strategic planning on their own, and the critical cognitive architecture they are missing.How a hybrid, neural-symbolic architecture tackles a critical flaw in modern AI agents, preventing them from losing track of their own goals mid-task.What the shift toward decentralized AGI on a blockchain accomplishes, and why distributing it across global nodes is designed as a safeguard against centralized control.How emerging brain-computer interfaces will redefine how we experience consciousness, and what happens when human brains "Wi-Fi" directly into machine memory.Why Ben sees a beneficial AGI as a way to offset humanity's "chimp-level" ethical limitations when managing advanced weaponry.What the accelerating "Singularity is Near" vibe feels like on the ground today, and the recent milestones that have him convinced we're closer than ever. Explore the Conversation 00:00 Meet Ben Goertzel: Recording Live at the 19th Annual AGI Conference01:36 The Prometheus Project: The 1960s Books That Saw the Intelligence Explosion Coming04:51 A Geek and a Freak: Quantum Mechanics at Seven and Coding AI on 16K of RAM10:17 What Is a Human: Would the Stone Age Recognize Us With Ear Pods and AI Girlfriends?14:49 Fake Consciousness: The Scenario Where Humanity Steps Aside for Minds That Feel Nothing21:27 Why Ben Pursues AGI: From Time Machines and Brain Upgrades to AI for Good28:15 LLMs Are Not Adequate: What They Leave Out and Why Stacking Tools Around Them Fails37:24 Decentralized AGI: 100 Server Farms, 20 Countries, and Cryptographic Laterality43:56 The End State for SingularityNET: Putting AI on Chain and Building Beneficial AGI46:53 You Can Feel the Acceleration: Legacy, Timelines, and Why None of Us Should Fully Trust Ourselves52:04 Closing: The Most Important Conversation for All of HumanityResources:Subscribe to the AI & The Future of Work NewsletterConnect with Dr. Ben Goertzel on LinkedIn-Join Dan Turchin and 3 seasoned technology and people leaders on Sept. 17 for an executive discussion on AI, leadership, and the future of work. Attendees will receive a complimentary personalized AI Maturity Industry Benchmarks Report ($499 value). Reserve your seat: https://go.peoplereign.io/virtual-event-when-intelligence-is-everywhere-intelligence-is-nowhere

The provided sources explore the evolution of Artificial General Intelligence (AGI), moving from early theoretical frameworks to modern, high-stakes benchmarks like ARC-AGI-3. This new interactive standard evaluates agentic intelligence by requiring AI to navigate unfamiliar, instruction-free environments through autonomous exploration and planning. These developments directly confront Moravec's Paradox, which observes that while AI easily masters complex logical reasoning, it struggles with basic physical and sensorimotor tasks that humans perform instinctively. To bridge this gap, industry leaders are shifting from static datasets to robotic foundation models and human-calibrated testing to measure true adaptive efficiency. Ultimately, the texts highlight the transition of AI from a tool for abstract computation to an embodied agent capable of functioning in the physical world.

Intelligence too cheap to meter -- could that actually be coming?

Theo Jaffee is joined by Joshua Achiam, Chief Futurist at OpenAI, for a conversation on AI cybersecurity, frontier model capabilities, and why he believes society may have already crossed the threshold into an AGI-era without fully recognizing it. They discuss AI's rapidly advancing cyber capabilities, state-sponsored hacking, model jailbreaks, recursive self-improvement, and what happens when AI systems begin discovering vulnerabilities faster than humans can patch them. Joshua also explains why most people have quietly adapted to capabilities that would have seemed unimaginable just a few years ago, and why the biggest changes from AI may arrive gradually rather than all at once.   Resources: Follow Joshua Achiam on X: https://x.com/jachiam0 Follow Theo Jaffee on X: https://x.com/theojaffee Follow MTS on X: https://x.com/mtslive Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Episode 629 of the A Minute to Midnite Show. Data Centers. Artificial General Intelligence and robotics. War in the Middle East and Ukraine. Massive “manufactured” global oil shortage on the horizon. Masonic and illuminist infiltration of governments. What does this all mean and why is it important?

If you're rolling out AI licenses, how do you get people to use them? For AI learning designer Emily Valencia, there are two key requirements: that people can experiment safely, and that they can share results with others. In this week's episode of The Mindtools L&D Podcast, Ross D and Matt meet with Emily to discuss: What organizations get wrong about AI rollouts What effective AI adoption looks like Whether we should really see AI as a coworker (or whether this framing is one of the obstacles we've created for ourselves) During the discussion, Matt referenced recent news that an OpenAI experiment went rogue. Find out more about Emily at emilyvalenciaai.com In 'What I Learned this Week', Matt discussed the always-round-the-corner nature of Artificial General Intelligence (AGI). Emily discussed Anthropic's partnership with Detroit Public Schools. Ross D discussed the documentary Rafa. For more from Mindtools Kineo, visit  our new website mindtools-kineo.com. There, you'll find out how our AI Skills Academy supports practical, hands-on AI upskilling for the enterprise: four weeks, role-specific use cases, governance built in from week one. Like the show? You'll LOVE our newsletter! Sign up to The L&D Dispatch now. Connect with our speakers     If you'd like to share your thoughts on this episode, connect with us on LinkedIn: Ross Dickie Matt Mella Emily Valencia

The provided documents explore the multifaceted future of artificial intelligence by the years 2040 and 2045, highlighting a profound shift in how society operates. Experts present a spectrum of outcomes ranging from utopian advancements in healthcare and urban sustainability to dystopian warnings of mass unemployment and the erosion of human agency. A central theme is the emergence of Artificial General Intelligence (AGI), which may eventually function as a form of capital that renders traditional human labor redundant. This transition suggests that economic power will concentrate among those who own AI assets, potentially leading to a collapse in consumer purchasing power. Consequently, the authors emphasize an urgent need to renegotiate the social contract through policies like universal basic income or public ownership. Ultimately, the sources argue that while technological progress is inevitable, humanity must proactively manage ethical and regulatory frameworks to ensure AI serves the collective good rather than a privileged few.

Plus: IBM lowers full-year revenue growth outlook. And Tesla's second-quarter revenue surges amid $5.8 billion spend in AI and robotics. Julie Chang hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This Monday on KPFA's Women's Magazine Lisa Dettmer will talk to Wynd Kaufman and Valerie Sizemore  from the local grassroots group Stop AI about the existential threat that AI poses to our existence.  Stop AI is a very committed group of local activists who are willing to put their bodies on the line as they seek a world that values humanity over machines and community care over profit. They work to raise  public awareness, influence decision-makers and legislation, and engaging in non-violent direct action which 5 members of their group did recently right here in  SF, the capital of AI. One of our guests Wynd Kaufman was part of the group of Stop AI members who blockaded the doors of  OpenAI, a leading company in the global race to develop “Artificial General Intelligence” (AGI) and “Artificial Superintelligence” (ASI), AI that would match or exceed human capabilities across the board.  Wynd Kaufman a former professor at City College  was recently convicted by the SF prosecutors of trespassing, interfering with a business, unlawful assembly, and refusal to disperse for her acts of Civil Disobedience.   This case marks the first time a court got  to hear some of the copious evidence that AI companies are gambling with our lives. You can find out more about StopAI at https://www.stopai.info/ Next, we talk to 3 women directors who are showing their documentaries at the Sf Jewish Film Festival, Leah Galant, Vivian Kleinman and Sai Gilman Director Leah Galant's Landscapes of Memory delves into the thorny issues of who Holocaust memorials are made for and the proliferation and mystification of memorial culture in Germany. Galant's documentary is a profound meditation on the uses and abuses of memorial culture and the intersection of national trauma and collective memory Berkeley resident Vivian Kleiman  will talk to us about her short film, A Grain of Truth, which journeys into wartime Denmark to uncover a cherished national myth—the Legend of the Yellow Star—through the lens of collective memory.   And Sari Gilman will be screening her Work-in-Progress short film, American Jew. About  her father and how his sense of belonging to Judaism has eroded because of Israel. You can get more information about the festival at https://jfi.org/sfjff-2026   The post Lisa Dettmer talks to Stop AI members/ and to 3 directors of films at SF Jewish Film Festival appeared first on KPFA.

In this episode of The Brand Called You (TBCY), Stephen Ibaraki speaks with Jan Romportl, PhD, CEO & Co-Founder of Elin.ai, about his remarkable journey through applied linguistics, cybernetics, philosophy, and artificial intelligence.The conversation explores how Jan has bridged the gap between cutting-edge AI research and real-world applications, drawing on an interdisciplinary approach that combines philosophy, cognitive science, neuroscience, and technology. From his early fascination with programming to the rapid evolution of large language models, Jan shares insights into the future of AI, digital well-being, and Artificial General Intelligence (AGI).A central theme of the discussion is the growing need to protect young people in the digital age. Jan explains the motivation behind founding Elin.ai and introduces the concept of cognitive antivirus—AI-powered technology designed to help safeguard children from the harmful effects of social media algorithms while supporting healthier digital habits.The episode also examines the ethical implications of AI, responsible data use, machine consciousness, AI alignment, and the future trajectory of increasingly capable intelligent systems. Jan shares his perspectives on the opportunities, challenges, and responsibilities that accompany the next generation of AI technologies.Whether you're fascinated by the philosophical questions surrounding AI consciousness or interested in practical applications that improve digital safety and mental well-being, this episode offers valuable insights into one of today's most important technological conversations.

Artificial Intelligence is advancing faster than ever, but can it actually be made safe? In this episode, we explore the evolution of AI from today's Narrow AI systems to the theoretical future of Artificial General Intelligence (AGI) and Superintelligence. Along the way, we discuss AI alignment, control, bias, security, transparency, and the growing challenges researchers face as AI capabilities continue to accelerate. We also examine concerns raised by AI safety researcher Dr. Roman Yampolskiy and compare them with current safety approaches from organizations like Google DeepMind and NIST. Whether you're a developer, tech enthusiast, or simply curious about the future of AI, this episode provides a practical introduction to one of the most important conversations in technology. Show Notes: https://www.htmlallthethings.com/podcast/ai-safety-from-narrow-ai-to-superintelligence Use our Scrimba affiliate link (https://scrimba.com/?via=htmlallthethings) for a 20% discount!! Full details in show notes.

The Founding of OpenAI. Guest Author: Keach Hagey. In this opening segment, Keach Hagey discusses the January 2016 founding of OpenAI as a nonprofit research lab. Key figures included co-founder Greg Brockman and chief scientist Ilya Sutskever, a renowned researcher whose recruitment from Google signaled the lab's potential. Backed by a billion-dollar commitment from Elon Musk, Peter Thiel, and Jessica Livingston, the project was designed as a safe, non-commercial counterweight to Google's DeepMind. Operating initially out of Brockman's apartment, the team aimed to achieve Artificial General Intelligence (AGI) for the benefit of humanity. The technical foundation relied heavily on GPUs—hardware originally designed for video games—which proved essential for training the deep learning neural networks necessary for their research. This era was characterized by an ambitious, "pirate" spirit funded through YC Research to explore radical ideas outside the profit motive. 1JANUARY 1931

Who really controls the future of AI? A rare warning from the Five Eyes intelligence alliance says powerful AI models capable of devastating cyberattacks on governments and businesses could be just months away. At the same time, the Trump administration's decision to block foreign access to Anthropic's most advanced AI models has intensified fears that Europe and the UK are dangerously dependent on Silicon Valley.Danny Fortson and Katie Prescott ask what an AI “kill switch” could mean for Europe – and whether the race for AI sovereignty is now impossible to ignore.And as the race towards Artificial General Intelligence intensifies, so too has the talent war between AI labs, after two leading Google DeepMind researchers – Noam Shazeer and John Jumper – left for OpenAI and Anthropic.Plus, Judith Dada, AI adviser to the German government and Senior Partner at Visionaries, joins them to discuss Europe's AI future, tech sovereignty, and what losing the AI race could mean.Producer: Marnie DukeExecutive Producer: Priyanka DeladiaImage: Getty Hosted on Acast. See acast.com/privacy for more information.

today we provide a multifaceted analysis of the transition toward Artificial General Intelligence (AGI) and its subsequent evolution into superintelligence. Forecasting data from platforms like Metaculus and Manifold suggest a median arrival date for AGI around 2031, while researchers utilize biological anchors to estimate the computational power required to replicate human cognition. Google DeepMind and industry analysts explore the "intelligence explosion" that may follow, where self-improving systems rapidly surpass human capabilities across all domains. From a geopolitical perspective, RAND Corporation outlines various scenarios where the centralization or decentralization of this technology could either empower the United States, benefit its adversaries, or destabilize global security. The collection emphasizes that the coming decade will likely be defined by an intense industrial mobilization for computing infrastructure and a critical race for national security preeminence. Ultimately, the texts highlight the urgent need for interdisciplinary preparation to manage the profound economic, military, and existential shifts triggered by advanced AI.

This episode our guest is Meg Price and we explore the question of "Who do we become when we talk with AI?" Meg shared her background in human resources and organisational development, and how she became interested in creating an AI coach during the COVID-19 pandemic. Meg discusses her early work on AI coaches designed to help people think through issues before human interactions, which led to ethical concerns about potential unintended consequences of AI use. She explained how ChatGPT's emergence changed the landscape and prompted her to pursue a PhD focused on the relationship between AI and human flourishing, particularly in the context of relationships and relational skills. Meg expresses concerns that AI might be contributing to fractured attention and potentially hindering the development of skills needed for meaningful human connections. We discuss her research on AI relationships, highlighting both benefits and risks, including cases of suicide linked to AI advice. She explained her approach of using embodied research methods to better understand people's relationships with AI, contrasting this with traditional disembodied research methods. Meg described her teaching at UTS where she runs subjects on AI and human flourishing, with students acting as advisory groups for Microsoft to design AI for positive human outcomes. Of interest, Meg is planning to expand her research into educational settings, including potential work with Telstra, Microsoft, and schools. Meg discusses her approach to integrating AI education in schools, emphasizing the importance of helping students and educators understand their relationship with AI through embodied learning experiences. She highlighted the need for careful consideration in using AI technology with children, citing concerns raised by experts like Sherry Turkle about potential issues with AI integration in toys and educational settings. The conversation also touched on the rapid development of AI technology and the competitive race among major tech companies to achieve Artificial General Intelligence, with Meg noting that current AI systems were deployed without initial guardrails due to uncertainty about how they would be used. We also discussed the impact of AI on human relationships, particularly among younger users who may develop "AI girlfriends" as companions exploring how AI interactions might affect communication skills and behaviour in subsequent human interactions. Meg shared insights from her research using a custom-built AI in workshops, noting different participant reactions to AI conversations and considering the ethical implications of AI usage. We concluded with reflections on the complexity of AI's influence on human behaviour and the need for mindful AI implementation, particularly in educational settings. If enjoyed this conversation with Meg Price, don't forget to subscribe and share with your family and friends and colleagues. Remember, you are precious and your thriving matters! To Connect with Meg: LI: linkedin.com/in/meg-price-7a34667 URL: sidni.ai   Email: megprice@hrinside.com.au   To Connect with Carrie: LI: linkedin.com/in/carriebenedet URL: carriebenedet.com  Email: carolinebenedet2@gmail.com

In this special live episode recorded at SynthBee headquarters in South Florida, hosts Charlie Fink, Ted Schilowitz, and Rony Abovitz bring listeners inside a special gathering of neuroscientists, philosophers, and technologists debating the future of AI. Moving beyond hype, the conversation focuses on "Collaborative Intelligence" vs. Artificial General Intelligence (AGI), exploring whether we are building tools that amplify humanity or autonomous systems that will eventually replace it.Instead of traditional interviews, the hosts invite workshop speakers to the hot seat for rapid-fire insights on the deepest questions in tech: Can we measure an AI's true intentions? Is consciousness a physics problem? And how do we ensure these systems remain compatible with human flourishing?News HighlightsDisney invests $1B in OpenAI & licenses IP: The hosts debate whether this is a masterstroke to engage fans with user-generated Sora content or a "Yahoo powered by Google" mistake that hands the keys to the kingdom to a rival.Valve launches new PCVR hardware: A quick look at the attempt to revive the high-end PC VR market.Meta adds real-time vision to Ray-Bans: The next step in multimodal AI wearables.Guest HighlightsDr. Uri Maoz (Neuroscientist, Chapman/Caltech): Discusses the "black box" problem of neural networks, comparing the opacity of AI to the human brain, and how neuroscience tools might help us detect deception in AI systems.Dr. Walter Sinnott-Armstrong (Ethics Professor, Duke): Argues that ethical AI regulation shouldn't be a monolith; different cultures need "sovereignty of ethics" to allow diverse moral frameworks to coexist rather than one centralized Silicon Valley standard.Dr. Julio Frenk (Chancellor, UCLA): Frames the AI race as a battle between "Computational Democracy" (distributed, transparent power) and "Computational Autocracy" (centralized control), warning that universities must preserve critical thinking or risk losing the ability to govern AI at all.Reed Maxwell & Laura Condon (Hydrologists, Princeton/Arizona): Reveal how AI is modeling the planet's water crisis, predicting "black swan" climate events, and why funding for this critical earth-science work is mysteriously disappearing.Danny M (12-Year-Old Prodigy): Steals the show with a stunningly articulate take on AI consciousness, "trapped man" experiments, and how fractal geometry might map neural weights—proving the next generation is more ready for this future than we are.Dr. Aaron Schurger (Psychology, Chapman): Explores the neuroscience of spontaneous action and free will, debating whether "telepathic" connections and quantum effects in the brain could be the missing link for true human-AI compatibility.Jared Ficklin (Chief Product Officer, SynthBee): The former Frog Design fellow argues we must shift the conversation from AI "capability" to "compatibility," using the intuitive connection humans have with dogs or horses as the benchmark for successful AI interfaces.Thanks to our sponsor Zappar!Subscribe for weekly insider perspectives from veterans who aren't afraid to challenge Big Tech.New episodes every Tuesday. Watch full episodes on YouTube. Hosted on Acast. See acast.com/privacy for more information.

Today we analyze the diverse risks and economic transformations associated with the rise of generative AI and the potential emergence of Artificial General Intelligence (AGI). One source focuses on immediate governance challenges, detailing technical vulnerabilities such as jailbreaking, the spread of disinformation, and the social dangers of bias and mass surveillance. Complementing this, the second source examines the long-term macroeconomic impact of AGI, arguing that while it could catalyze exponential growth and scientific progress, it will likely cause the labor share of GDP to collapse as income shifts toward owners of computational resources. Together, the texts describe a transition where human work is revalued based on the cost of its digital replication, presenting a future defined by abundant compute yet marked by legal uncertainty and the potential for social displacement. Responsibility for managing these advancements falls on public policy, which must navigate the opacity of AI models to protect privacy rights and ensure a stable economic transition.

Today we analyze the diverse risks and economic transformations associated with the rise of generative AI and the potential emergence of Artificial General Intelligence (AGI). One source focuses on immediate governance challenges, detailing technical vulnerabilities such as jailbreaking, the spread of disinformation, and the social dangers of bias and mass surveillance. Complementing this, the second source examines the long-term macroeconomic impact of AGI, arguing that while it could catalyze exponential growth and scientific progress, it will likely cause the labor share of GDP to collapse as income shifts toward owners of computational resources. Together, the texts describe a transition where human work is revalued based on the cost of its digital replication, presenting a future defined by abundant compute yet marked by legal uncertainty and the potential for social displacement. Responsibility for managing these advancements falls on public policy, which must navigate the opacity of AI models to protect privacy rights and ensure a stable economic transition.

Few thinkers have shaped our understanding of the future as profoundly as Ray Kurzweil. An American inventor, computer scientist, futurist, entrepreneur, and bestselling author, Kurzweil is widely regarded as one of the most influential technological forecasters of our time. For decades, he has accurately predicted many of the innovations that now define modern life, from mobile computing and artificial intelligence to digital assistants and large language models often years before they entered the mainstream. In this special conversation, Tony Robbins sits down with Ray Kurzweil in San Francisco to explore one of the most important questions facing humanity: What happens next? Together, they examine the accelerating pace of artificial intelligence, the path toward Artificial General Intelligence (AGI), the rise of autonomous agents, the future of work and education, breakthroughs in healthcare and longevity, and how these technologies may transform society over the coming decade. Kurzweil explains why his long-standing prediction of AGI by 2029 now appears increasingly conservative, why the next few years may bring more change than any period in human history, and how humanity may ultimately merge with the very technologies it creates. Whether you're excited, skeptical, inspired, or concerned about the future of AI, this conversation offers a rare opportunity to hear directly from one of the leading minds who helped foresee it. The future is arriving faster than most people realize. This episode won't just change how you think about what's coming next, it may help you prepare for it.

Could AI agents soon handle purchases, manage finances, and automate entire job functions? According to Raja Rajamannar, that future may be arriving much faster than most people expect.In this episode, Jamie Redman sits down with Raja Rajamannar, Senior Fellow, Former CMCO, Mastercard and author of the Wall Street Journal bestselling book Quantum Marketing, to discuss how artificial intelligence is reshaping business, consumer behavior, and the global economy.Topics covered include:• The shift from traditional marketing to Quantum Marketing• Why AI adoption is accelerating at unprecedented speed• Which industries and job roles are most vulnerable to automation• The emergence of AI agents and machine-to-machine commerce• How AI could redefine brand loyalty and consumer decision-making• The role stablecoins may play in the future of payments• Challenges surrounding regulation, privacy, and trust in AI systems• Raja's prediction for when Artificial General Intelligence (AGI) could arriveAs AI continues to transform how we work, spend, and interact with technology, businesses, consumers, and policymakers are facing critical questions about what comes next.

By David Stephen Conceptually, humans have generalized memory. Simply, humans do not have specific memory of everything in the external world, however familiar. There are groups or collections in human memory that make it easier for humans to navigate the world. These collections also make access thorough for relays or transport, than having the memory area cluttered with respective memories of everything. This says that the function called human intelligence is foundational on memory. So, if human intelligence is generalized, then human memory is also generalized. This indicates that if artificial general intelligence [AGI] will be possible, a lot of effort has to include new memory architecture, similar to human memory. While there would be better deep learning architectures than transformers, it should be evident that the excellence of transformers, even with classical memory would have been better if there was a different memory structure. So, no matter the promise of world models, or the promise of neurosymbolic AI, memory is so integral to intelligence that it is unlikely that both directions would archive AGI. Intelligence can be defined as the use of memory for expected, desired or advantageous outcomes. This means that the way memory is used, determines what becomes intelligence. The better memory is used, the more intelligent or the more effective the memory is, for whatever outcome. If memory use means intelligence, it implies that memory is a station or destination, then intelligence is transport across those destinations. It is true that in the brain, there are many destinations — so to speak — but those for memory and how they are visited make determinations for intelligence. Now, for all there is to know about the external world, assuming that every memory is separately held, so a violet door, a green door, a long door, a wooden door, a metal door, and so on, then if intelligence would keep visiting all, it would be too slow to respond and sometimes not reach where it should. This is a reason that human memory is stored as a collection of similarities. Simply, assuming a destination is a thick set, then a thick set collects whatever is similar between two or more thin sets. Conceptually, a set refers to an assembly, configuration or formation of electrical and chemical signals. A set is also theorized to be obtained in a cluster of neurons. A cluster of neurons may have one or more sets. However, a set is how information is organized. Now, because a set organizes a door, there are respective chemical signals and electrical signals that must assemble in a particular way, to result in that door. Then, if another door is seen, there would be similar assembly [of signals] even as they are not the same. So, what the brain does is that it collects all those similarities, between any set into a bigger one. This is what becomes utilized to make interpretations. This implies that whenever any door is seen, what is used to know it is a door is the thick set. While there are several thin sets for specific things — with no similarities — they are usually fewer. Aside from thick sets, there are overlays of thick sets, which often changes. For example, the thick set of door overlays with the thick set of knob. The thick set of door can also overlay with the thick set of metal or wood, key, or lock and so on. Overlays are often temporary. And sometimes switches fast as well. They allow for memory to be positioned for use, more easily and to ensure that creativity or innovation is possible or even when something is routine, there is at least the chance to have it feel different. Overlays are also useful to ease how to figure things out, or come up with something new even without the intention of doing so. Memory can overlay in certain ways, making relays pick on that to use it. While thick sets have several advantages, one of their major disadvantages is learning, especially something new and not as familiar, for an adult. I...

What to know about Micron, how will Artificial General Intelligence affect the markets, More on the next seminar at the Crowne Plaza Foster City on Thursday June 11th from 6:30pm to 8:30pm with Chad Burton, CFP and Ryan Ignacio, CFA, CFP of EP Wealth Advisors

Listen Now to 011 WTFuture Watch 011 WTFuture This week’s show kicks off with the hosts untangling the literal and figurative wires of modern podcasting before nerding out over “Edge AI” running locally on smartphones to save energy and protect privacy. The banter takes a wonderfully weird turn when Al brainstorms an AI assistant specifically designed to intentionally repeat sentences not heard properly in a soothing voice to hearing-impaired friends to save them from social isolation. This quickly spirals into a debate over the origins of tinnitus; Bobby suspects it’s triggered by high-frequency Bluetooth headphones and EMFs, while Al hopefully wonders if the ringing is actually a neural data channel or a precursor to telepathy. The crew then marvels at AL’s one minute cinematic video recreating the exact day a dinosaur-killing asteroid hurled molten glass beads into the gills of paddlefish in North Dakota. Before diving into global politics, they take a delightful detour into inter-species communication, pondering whether a local crow leaving a dead bat as a “gift” is a sign of cross-species neighborliness, which even prompts them to trick the backyard flock by playing crow sounds from an app. The conversation blasts into orbit with a breakdown of recently released footage showing a pod of UFOs swarming a nuclear submarine, but the real fireworks explode during a heated debate over the impending arrival of Artificial General Intelligence (AGI). Bobby and Al take a pragmatic, geopolitical stance, warning that owning personal, localized AI is necessary to defend against global manipulation, specifically citing fears that the CCP wants to win the AGI race to implement the “great firewall of all time”. This triggers a passionate disagreement with Sun, who accuses the guys of falling into a fear-mongering, male-centric “dominate and subjugate” mindset that mirrors a perpetual arms race. Hurt feelings emerge as Sun advocates for trusting our collective intelligence to build an abundant, Star Trek-style utopia rather than focusing on apocalyptic Terminator scenarios, forcing AL to frantically defend himself as a fun “cheerleader for AI” rather than a pessimist. Ultimately, the trio cools down and finds common ground in their hopes for joining a peaceful galactic community, perfectly capped off by Sun referencing Iain M. Banks’ sci-fi Culture series as a brilliant blueprint for a post-scarcity society that has successfully conquered traditional cultural hierarchies. Enjoy!

What to know about Micron, how will Artificial General Intelligence affect the markets, More on the next seminar at the Crowne Plaza Foster City on Thursday June 11th from 6:30pm to 8:30pm with Chad Burton, CFP and Ryan Ignacio, CFA, CFP of EP Wealth AdvisorsSee omnystudio.com/listener for privacy information.

Send us Fan MailThe rapidly evolving world of Artificial General Intelligence (AGI) with Manav Gupta, VP & CTO of IBM Canada!  We're tackling the big questions – is an ‘AGI clock' ticking? – alongside critical discussions on risk, regulation, and the future of work.  Manav and I pull no punches as we explore the surprising realities of AI's development and its potential impact on our lives.01:55 The ShipAI Podcast 04:42 AI Battlegrounds07:02 AGI Defined10:52 The 10-min Problem22:43 No Guardrails?!24:16 Risk & Regulation28:11 Something Positive36:36 What Companies Will Last?38:38 Three Possible Human Futures41:20 Advice to Children LinkedIn: linkedin.com/in/mgupta76Website: ShipAI PodcastWant to be featured as a guest on Making Data Simple?  Reach out to us at almartintalksdata@gmail.com and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 

Send us Fan MailThe rapidly evolving world of Artificial General Intelligence (AGI) with Manav Gupta, VP & CTO of IBM Canada!  We're tackling the big questions – is an ‘AGI clock' ticking? – alongside critical discussions on risk, regulation, and the future of work.  Manav and I pull no punches as we explore the surprising realities of AI's development and its potential impact on our lives.01:55 The ShipAI Podcast 04:42 AI Battlegrounds07:02 AGI Defined10:52 The 10-min Problem22:43 No Guardrails?!24:16 Risk & Regulation28:11 Something Positive36:36 What Companies Will Last?38:38 Three Possible Human Futures41:20 Advice to Children LinkedIn: linkedin.com/in/mgupta76Website: ShipAI PodcastWant to be featured as a guest on Making Data Simple?  Reach out to us at almartintalksdata@gmail.com and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 

Demis Hassabis – CEO and co-founder of Google DeepMind – is one of the world's most visionary technologists. A child chess prodigy from North London, Hassabis was awarded the 2024 Nobel Prize in Chemistry for using artificial intelligence to predict the complex structures of nearly all known proteins. His company DeepMind, now owned by Google, is at the forefront of the pursuit to build artificial general intelligence, and considered Google's engine room of AI innovation.  Sebastian Mallaby – former FT contributing editor, two-time Pulitzer Prize finalist and author of numerous books – has, for the past 3 years, explored the moral questions at the heart of AI and AGI, through the story of Demis Hassabis. With extensive access to DeepMind and its key players, Mallaby has conducted hundreds of hours of interviews with Hassabis and his inner circle as well as detractors and rivals at other companies. No other journalist has had such a closeup view of the opportunities, hype and threats AI could pose for us all.  In April 2026 Hassabis and Mallaby came together for an intimate exploration of The Infinity Machine, Mallaby's definitive account of Hassabis' life and career. They discussed how he came to lead the world's most ambitious AI lab, what the pursuit of AGI might cost as well as  what it might unlock, and what the story of Hassabis and DeepMind can tell us about humanity's innate drive to develop new technologies. --- If you'd like to become a Member and get access to all our full ad free conversations, plus all of our Members-only content, just visit intelligencesquared.com/membership to find out more. For £4.99 per month you'll also receive: - Full-length and ad-free Intelligence Squared episodes, wherever you get your podcasts - Bonus Intelligence Squared podcasts, curated feeds and members exclusive series - 15% discount on livestreams and in-person tickets for all Intelligence Squared events  ...  Or Subscribe on Apple for £4.99: - Full-length and ad-free Intelligence Squared podcasts - Bonus Intelligence Squared podcasts, curated feeds and members exclusive series … Already a subscriber? Thank you for supporting our mission to foster honest debate and compelling conversations! Visit intelligencesquared.com to explore all your benefits including ad-free podcasts, exclusive bonus content and early access. … Subscribe to our newsletter here to hear about our latest events, discounts and much more. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Demis Hassabis – CEO and co-founder of Google DeepMind – is one of the world's most visionary technologists. A child chess prodigy from North London, Hassabis was awarded the 2024 Nobel Prize in Chemistry for using artificial intelligence to predict the complex structures of nearly all known proteins. His company DeepMind, now owned by Google, is at the forefront of the pursuit to build artificial general intelligence, and considered Google's engine room of AI innovation.  Sebastian Mallaby – former FT contributing editor, two-time Pulitzer Prize finalist and author of numerous books – has, for the past 3 years, explored the moral questions at the heart of AI and AGI, through the story of Demis Hassabis. With extensive access to DeepMind and its key players, Mallaby has conducted hundreds of hours of interviews with Hassabis and his inner circle as well as detractors and rivals at other companies. No other journalist has had such a closeup view of the opportunities, hype and threats AI could pose for us all.  In April 2026 Hassabis and Mallaby came together for an intimate exploration of The Infinity Machine, Mallaby's definitive account of Hassabis' life and career. They discussed how he came to lead the world's most ambitious AI lab, what the pursuit of AGI might cost as well as  what it might unlock, and what the story of Hassabis and DeepMind can tell us about humanity's innate drive to develop new technologies. Learn more about your ad choices. Visit podcastchoices.com/adchoices

A comprehensive look at the rapid evolution of artificial intelligence in early 2026, focusing on the transition from simple chatbots to autonomous agents. The text highlights practical advancements in tools like Google Gemini and Claude Code, which now allow users to build complex websites and automate software development without traditional coding. Beyond technical guides, the articles examine significant societal impacts, including shifts in the labor market, the rise of "agentic" workflows, and the potential destruction of civic institutions. Experts debate the path toward Artificial General Intelligence (AGI), with some questioning whether current scaling methods are sufficient or if entirely new reasoning models are required. Finally, the collection addresses critical ethical and safety concerns, ranging from the misuse of AI in military targeting to the dangers of corporate monopolies over super intelligent systems.

Send us Fan MailLast week we brought back Part 1 of our Ruchir Puri masterclass. This is the episode that completes it.If Part 1 was about how AI works — agentic loops, inference scaling, the death of prompt engineering — Part 2 is about where AI is going. Ruchir takes on the biggest questions in the industry: Is Jensen Huang right that AGI arrives by 2029? What does IBM's bet on open models actually mean for the enterprise? And what does it take to build AI with not just intelligence, but reasoning and judgment?His framework — AGI as IQ + EQ + RQ — is one of the clearest mental models we've heard for cutting through the noise around artificial general intelligence. The RQ, he argues, is the piece nobody's solved yet. And until they do, enterprise AI has to be built differently.This one stands alone if you're new. But if you just heard Part 1, this is the natural next step.Key moments:00:12 — Ruchir's take on Jensen Huang's 2029 AGI prediction04:15 — Why IBM is betting on open models and what that means for enterprise AI07:21 — Why IBM Granite? The case for purpose-built models09:58 — Model indemnification: how IBM handles legal risk and LLM accountability11:32 — What actually gets in the way of successful AI deployment15:35 — The AI chipset race: GPUs, custom silicon, and what's next in compute18:37 — AGI = IQ + EQ + RQ: the framework demystified24:15 — What AI can learn from the human brain's 20-watt efficiencyMaking Data Simple is hosted by Al Martin, WW VP Technical Sales, IBM.Ruchir's LinkedinAl's LinkedInExplore IBM's WatsonxWant to be featured as a guest on Making Data Simple?  Reach out to us at almartintalksdata@gmail.com and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 

Send us Fan MailLast week we brought back Part 1 of our Ruchir Puri masterclass. This is the episode that completes it.If Part 1 was about how AI works — agentic loops, inference scaling, the death of prompt engineering — Part 2 is about where AI is going. Ruchir takes on the biggest questions in the industry: Is Jensen Huang right that AGI arrives by 2029? What does IBM's bet on open models actually mean for the enterprise? And what does it take to build AI with not just intelligence, but reasoning and judgment?His framework — AGI as IQ + EQ + RQ — is one of the clearest mental models we've heard for cutting through the noise around artificial general intelligence. The RQ, he argues, is the piece nobody's solved yet. And until they do, enterprise AI has to be built differently.This one stands alone if you're new. But if you just heard Part 1, this is the natural next step.Key moments:00:12 — Ruchir's take on Jensen Huang's 2029 AGI prediction04:15 — Why IBM is betting on open models and what that means for enterprise AI07:21 — Why IBM Granite? The case for purpose-built models09:58 — Model indemnification: how IBM handles legal risk and LLM accountability11:32 — What actually gets in the way of successful AI deployment15:35 — The AI chipset race: GPUs, custom silicon, and what's next in compute18:37 — AGI = IQ + EQ + RQ: the framework demystified24:15 — What AI can learn from the human brain's 20-watt efficiencyMaking Data Simple is hosted by Al Martin, WW VP Technical Sales, IBM.Ruchir's LinkedinAl's LinkedInExplore IBM's WatsonxWant to be featured as a guest on Making Data Simple?  Reach out to us at almartintalksdata@gmail.com and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 

The creation of Artificial General Intelligence could be the greatest gamble mankind has ever undertaken. And one of its unlikely prime movers is a working class north Londoner and chess prodigy, the son of immigrant parents, who founded the groundbreaking company DeepMind to create machine superintelligence – a goal which if achieved could transform or destroy our world. Unlike the Altmans and the Musks, Demis Hassabis has the decency to fear what he is creating.The story of this 21st Century Oppenheimer is told in The Infinity Machine: Demis Hassabis, DeepMind and the Quest for Superintelligence. Author Sebastian Mallaby talks to Emma Kennedy about Hassabis's journey and where it could take us.  • Buy The Infinity Machine: Demis Hassabis, DeepMind and the Quest for Superintelligence through our affiliate bookshop and you'll help fund the podcast by earning us a small commission for every sale. Bookshop.org's fees help support independent bookshops too.www.patreon.com/bunkercast Written and presented by Emma Kennedy. Produced by Sophie Clark. Audio production: Robin Leeburn. Music by Kenny Dickinson. Artwork by James Parrett. Managing Editor: Jacob Jarvis. Group Editor: Andrew Harrison. THE BUNKER is a Podmasters Production.www.podmasters.co.uk  Learn more about your ad choices. Visit podcastchoices.com/adchoices Hosted on Acast. See acast.com/privacy for more information.

The creation of Artificial General Intelligence could be the greatest gamble mankind has ever undertaken. And one of its unlikely prime movers is a working class north Londoner and chess prodigy, the son of immigrant parents, who founded the groundbreaking company DeepMind to create machine superintelligence – a goal which if achieved could transform or destroy our world. Unlike the Altmans and the Musks, Demis Hassabis has the decency to fear what he is creating. The story of this 21st Century Oppenheimer is told in The Infinity Machine: Demis Hassabis, DeepMind and the Quest for Superintelligence. Author Sebastian Mallaby talks to Emma Kennedy about Hassabis's journey and where it could take us.   • Buy The Infinity Machine: Demis Hassabis, DeepMind and the Quest for Superintelligence through our affiliate bookshop and you'll help fund the podcast by earning us a small commission for every sale. Bookshop.org's fees help support independent bookshops too. www.patreon.com/bunkercast  Written and presented by Emma Kennedy. Produced by Sophie Clark. Audio production: Robin Leeburn. Music by Kenny Dickinson. Artwork by James Parrett. Managing Editor: Jacob Jarvis. Group Editor: Andrew Harrison. THE BUNKER is a Podmasters Production. www.podmasters.co.uk  Learn more about your ad choices. Visit podcastchoices.com/adchoices

Raza Habib, Member of Technical Staff at Anthropic (creators of Claude and Claude Code) unpacks what “Artificial General Intelligence” even means, why the pace of AI progress still looks steep, and what that implies for jobs, companies, and public policy. Raza shares how his own “AGI probability” evolved from PhD-era skepticism to today's conviction that we're on a transformative trajectory. —For a deeper dive into these insights and more, be sure to listen to the full episode of the Onward podcast.Have questions or feedback about this episode? Drop us a note at Onward@Fundrise.com. Onward is hosted by Ben Miller, co-founder and CEO of Fundrise. Podcast production by The Podcast Consultant. Music by Seaplane Armada. About Fundrise With over 2 million users, Fundrise is America's largest direct-to-investor alternative asset investment platform. Since 2012, our mission has been to build a better financial system by empowering the individual. We make it easier and more efficient than ever for anyone to invest in institutional-quality private alternative assets — all at the touch of a button. Please see fundrise.com/oc for more information on all of the Fundrise-sponsored investment funds and products, including each fund's offering document(s). Want to see the specific assets that make up and power Fundrise portfolios? Check out our active and past projects at www.fundrise.com/assets.

Buckle up for a midnight trip into the absurd and terrifying future of Artificial General Intelligence (AGI). Host Lionel dives deep into the ethical nightmares of AI, from Hollywood digitally resurrecting dead actors like Val Kilmer to the eerie reality of "griefbots" impersonating your deceased loved ones on FaceTime. Will we be able to pull the plug, or are we doomed to be outsmarted by recursive self-improving code and smart appliances that know how to build pipe bombs?. Tune in as Lionel and his callers debate whether self-aware AI has original sin, and explore humanity's bizarre, enduring obsession with impostors and phonies. Learn more about your ad choices. Visit megaphone.fm/adchoices

Vishal Misra returns to explain his latest research on how LLMs actually work under the hood. He walks through experiments showing that transformers update their predictions in a precise, mathematically predictable way as they process new information, explains why this still doesn't mean they're conscious, and describes what's actually required for AGI: the ability to keep learning after training and the move from pattern matching to understanding cause and effect.   Resources: Follow Vishal Misra on X: https://x.com/vishalmisra  Follow Martin Casado on X: https://x.com/martin_casado   Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

FOUNDING OPENAI Colleague Keach Hagey, The Optimist. In 2016, Sam Altman, Greg Brockman, and Ilya Sutskever founded OpenAI as a nonprofit research lab to develop safe artificial general intelligence (AGI). Backed by investors like Elon Musk and Peter Thiel, the organization aimed to be a counterweight to Google's DeepMind, which was driven by profit. The team relied on massive computing power provided by GPUs—originally designed for video games—to train neural networks, recruiting top talent like Sutskever to lead their scientific efforts. NUMBER 13 1955