The Emergent AI podcast

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تمت الإضافة منذ eighteen أسبوع

المحتوى المقدم من Justin Harnish. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Justin Harnish أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

Everyday AI Podcast – An AI and ChatGPT Podcast

1
EP 570: ChatGPT’s Agent Mode Overview: 5 things you should know 32:40

منذ 4 أيام32:40

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32:40

ChatGPT Agent is here! ↳ What the heck is it? ↳ How does it work? ↳ What do you need to know? Glad you asked, shorties. Join us for the answers. Square keeps up so you don't have to slow down. Get everything you need to run and grow your business—without any long-term commitments. And why wait? Right now, you can get up to $200 off Square hardware at square.com/go/jordan. Run your business smarter with Square. Get started today. Newsletter: Sign up for our free daily newsletter More on this Episode: Episode Page Join the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn. Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup Website: YourEverydayAI.com Email The Show: info@youreverydayai.com Connect with Jordan on LinkedIn Topics Covered in This Episode: ChatGPT Agent Mode Overview & Naming Live ChatGPT Agent Demo Walkthrough ChatGPT Agent Mode Availability & Pricing Operator vs. Deep Research Capabilities Explained ChatGPT Agent Virtual Computer Functions Spreadsheet and PowerPoint Generation in ChatGPT Mini RAG-Ready Agents with Data Connectors ChatGPT Agent Security and Biological Risk Classification Timestamps: 00:00 "Introducing ChatGPT Agent" 03:41 Potential Delay for Paid Plan Rollout 09:24 "Chat GPT Agent: New Tools Overview" 12:44 OpenAI-Microsoft Tensions Over Software Overlap 16:42 "ChatGPT's New RAG Feature Unveiled" 21:55 AI Agent with Weapon Risk 23:31 Agent Models: Boon or Bane? 29:05 "Agent Mode: Seamless Editing Integration" Keywords: ChatGPT Agent, Agent Mode, OpenAI, virtual computer, Agentic skills, Operator, Deep Research, browsing websites, web research, synthesizing information, Microsoft competitor, PowerPoint creation, Excel spreadsheet creation, terminal access, public API integration, connectors, data analysis, image generation, multi-agent environments, retrieval augmented generation, mini RAG, AI operating system, human-in-the-loop, security concerns, biology classifier, biological weapons classification, chemical weapons classification, O3 model, Google Gemini 2.5 Pro, agentic models, AI workflows, editable slide deck, Microsoft Office alternative, AI-powered presentations, spreadsheet automation, cloud-based agents, AI task automation, calendar integration, Gmail connector, Google Drive connector, Outlook connector, team collaboration, premium AI features, desktop to browser transition, file creation, terminal commands, workflow automation Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Try Gemini 2.5 Flash! Sign up at AIStudio.google.com to get started.…

The Emergent AI

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Welcome to The Emergent, the podcast where two seasoned AI executives unravel the complexities of Artificial Intelligence as a transformative force reshaping our world. Each episode bridges the gap between cutting-edge AI advancements, human adaptability, and the philosophical frameworks that drive them. Join us for high-level insights, thought-provoking readings, and stories of collaboration between humans and AI. Whether you’re an industry leader, educator, or curious thinker, The Emergent is your guide to understanding and thriving in an AI-powered world.

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The Emergent AI

updated منذ عام واحد

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The Emergent AI

1
The Alignment Problem (Part 2): Machine Consciousness 1:32:25

منذ 10 weeks1:32:25

1:32:25

Can machines become conscious? And if they do, what kind of moral relationship should we have with them? In this second installment on the AI Alignment Problem, Justin and Nick delve into the philosophy, neuroscience, and mysticism surrounding machine consciousness . They explore whether AI systems could possess a subjective inner life—and if so, whether alignment should be reimagined as moral resonance instead of mere goal matching . Along the way, they discuss how mindfulness, memory, embodiment, and suffering shape our understanding of what it means to be sentient—and how we might recognize or construct such capacities in artificial systems. You’ll leave this episode with a deeper understanding of consciousness—from the perspective of both humans and machines—and what it might mean to extend moral standing to synthetic minds. Topics Covered: What is consciousness and how do we define it? Can artificial systems host genuine subjective experience? The neuroscience and computational theories of consciousness The “Hard Problem” and the possibility of virtualizing consciousness Ethical standing of sentient AI systems Machine consciousness and Buddhist moral development The role of embodiment, memory, and collective cognition in consciousness Panpsychism, fungal networks, and plant sentience AI as a mirror to human moral behavior Key Quote: “Alignment may not be instruction—but invitation.” Reading List: Justin’s Bookshelf: Meaning in the Multiverse – Justin Harnish A framework for emergent meaning and the evolution of consciousness—central to understanding alignment as co-development. Waking Up – Sam Harris Neuroscience, meditation, and the illusion of self. Feeling and Knowing – Antonio Damasio Emotion, embodiment, and consciousness—critical for thinking about AI without a body. Mindfulness – Joseph Goldstein Practical tools for present-moment ethics and self-awareness. Reality+ – David J. Chalmers Virtual realism and consciousness in simulation. The Case Against Reality – Donald Hoffman Conscious agents and perceptual interface theory. On Having No Head – Douglas Harding A first-person meditation on the illusion of self. I Am a Strange Loop – Douglas Hofstadter Recursion, identity, and consciousness emergence. Supplemental & Thematically Resonant: The Feeling of Life Itself – Christof Koch Integrated Information Theory and the measure of consciousness. Moral Tribes – Joshua Greene Dual-process moral reasoning, tribalism, and AI ethics. The Ethical Algorithm – Michael Kearns & Aaron Roth Engineering ethics into AI decision-making. The Nature of Consciousness – Alan Watts (Waking Up App) “You are it”: Consciousness as the universe reflecting on itself. The Soul of an Octopus – Sy Montgomery Comparative consciousness in non-human animals and implications for synthetic minds. Referenced Thinkers & Frameworks: Thomas Nagel – “What is it like to be a bat?” David Chalmers – The Hard Problem of Consciousness, Reality+ Max Tegmark – Life 3.0 , consciousness as information processing Giulio Tononi – Integrated Information Theory (IIT) Douglas Hofstadter – Strange loops and emergent identity Antonio Damasio – Embodiment and proto-consciousness Donald Hoffman – Conscious realism and perceptual interface Sam Harris – Non-duality and mindful self-inquiry John Locke – Consciousness as “the perception of what passes in a man’s own mind” Buddhist Philosophy – The Four Noble Truths and Eightfold Path as alignment map Quote from the Hosts: “Generative AI is our James Webb Telescope for the mind.”…

The Emergent AI

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The Alignment Problem (Part 1) 1:16:39

منذ 13 weeks1:16:39

1:16:39

Episode Summary In this episode, Justin and Nick dive into The Alignment Problem —one of the most pressing challenges in AI development. Can we ensure that AI systems align with human values and intentions? What happens when AI behavior diverges from what we expect or desire? Drawing on real-world examples, academic research, and philosophical thought experiments, they explore the risks and opportunities AI presents. From misaligned AI causing unintended consequences to the broader existential question of intelligence in the universe, this conversation tackles the complexity of AI ethics, governance, and emergent behavior. They also discuss historical perspectives on automation, regulatory concerns, and the possible future of AI—whether it leads to existential risk or a utopian technological renaissance. Topics Covered Understanding the AI Alignment Problem – Why AI alignment matters and its real-world implications. Why Not Just ‘Pull the Plug’ on AI? – A philosophical and practical discussion. Emergent AI & Unpredictability – How AI learns in ways we can’t always foresee. Historical Parallels – Lessons from past industrial and technological revolutions. The Great Filter & The Fermi Paradox – Could AI be part of humanity’s existential challenge? The Ethics of AI Decision-Making – The real-world trolley problem and AI’s moral choices. Can AI Ever Be Truly ‘Aligned’ with Humans? – Challenges of defining and enforcing values. Industry & Regulation – How governments and businesses are handling AI risks. What Happens When AI Becomes Conscious? – A preview of the next episode’s deep dive. Reading List & References Books Mentioned: The Alignment Problem – Brian Christian Human Compatible – Stuart Russell Superintelligence – Nick Bostrom The Second Machine Age – Erik Brynjolfsson & Andrew McAfee The End of Work – Jeremy Rifkin The Demon in the Machine – Paul Davies Anarchy, State, and Utopia – Robert Nozick Academic Papers & Reports: Clarifying AI Alignment – Paul Christiano The AI Alignment Problem in Context – Raphaël Millière Key Takeaways AI alignment is crucial but deeply complex—defining human values is harder than it seems. AI could be an existential risk or the key to ending scarcity and expanding humanity’s potential. Conscious AI might be necessary for true alignment, but we don’t fully understand consciousness. Industry and government must work together to create effective AI governance frameworks. We may be at a pivotal moment in history—what we do next could define our species’ future. Pick of the Pod 🔹 Nick’s Pick: Cursor – An AI-powered coding assistant that enhances development workflows. 🔹 Justin’s Pick: Leveraging Enterprise AI – Make use of company-approved AI tools for efficiency and insight. Next Episode Preview In Part 2 of “The Alignment Problem” , we’ll explore: 🔹 Can an AI be truly conscious, and would that change alignment? 🔹 What responsibilities would we have toward a sentient AI? 🔹 Could AI help us become better moral actors? The Emergent AI website Subscribe & stay tuned! Join the Conversation! We want to hear your thoughts on our aligned future! Justin’s Homepage - https://justinaharnish.com Justin’s Substack - https://ordinaryilluminated.substack.com Justin’s LinkedIn - https://www.linkedin.com/in/justinharnish/ Nick’s LinkedIn - https://www.linkedin.com/in/nickbaguley/ Like, Subscribe & Review on your favorite podcast platform! Final Thought: Are we heading toward an AI utopia or existential risk? The answer may depend on how we approach alignment today.…

The Emergent AI

1
Human-AI Symbiosis 1:00:59

منذ 15 weeks1:00:59

1:00:59

Episode 3: Human-AI Symbiosis The Emergent AI Podcast with Justin Harnish & Nick Baguley Episode Summary: Today on The Emergent AI Podcast , Justin and Nick explore the future of human-AI collaboration and what it means to live and work alongside dynamic, reasoning AI systems. From agentic AI workflows in healthcare, finance, and creativity, to the philosophical and existential questions surrounding AI’s role in society, this episode dives deep into how humans and AI can thrive together in a rapidly evolving landscape. We tackle the fears of job displacement, the promise of eliminating drudgery, and the bold vision of achieving human flourishing through AI augmentation — not replacement. And we tee up the critical conversation for next time: alignment between human well-being and AI goals. Featured Reading List: Books: The Master Algorithm – Pedro Domingos Superintelligence – Nick Bostrom Human Compatible – Stuart Russell The Alignment Problem – Brian Christian The Future of Work – Darrell West AI 2041 – Kai-Fu Lee & Chen Qiufan Competing in the Age of AI – Marco Iansiti & Karim Lakhani Reprogramming the American Dream – Kevin Scott Articles & Papers: The Role of AI in Augmenting Human Capabilities – MIT Tech Review The Rise of Agentic AI – Stanford AI Lab AI and the Future of Decision Making – McKinsey Report Key Takeaways: Agentic AI Workflows: How modern AI models, organized into multi-agent “crews,” reason, act, and augment human capabilities in fields like healthcare, finance, and creative arts. Breaking Down Fears: Is AI replacing humans? Or freeing us from drudgery so we can focus on creativity, leadership, and strategy. Real-World Examples: AI-assisted diagnostics in medicine Fraud detection in finance AI co-authors in creative fields The Existential Questions What happens when AI develops its own goals? How do human values and AI objectives align (or diverge)? Can we ensure AI enhances, rather than harms, human flourishing? Big Ideas Discussed: Human-AI Symbiosis is not about opposition; it’s about fractal augmentation — a shared space where human goals and machine goals co-evolve The evolution from simple automation to complex, reasoning agents that manage workflows and even other agents. Emergence of AI’s reasoning capabilities: from curve-fitting language models to goal-oriented reasoning engines. The future of work: abundance through automation vs. existential economic risks. Aligning AI goals with human survival and well-being as the defining challenge of our time. What’s Next: Teaser for Episode 4: “The Alignment Problem: How Do We Align Superintelligent AI with Human Goals?” Join us as we dive into philosophy, policy, technology, and new approaches to guide the future of AI — and humanity. Stay Connected: We want to hear your thoughts on the future of Human-AI collaboration! Justin’s Homepage - https://justinaharnish.com Justin’s Substack - https://ordinaryilluminated.substack.com Justin’s LinkedIn - https://www.linkedin.com/in/justinharnish/ Nick’s LinkedIn - https://www.linkedin.com/in/nickbaguley/ Share the show and leave us a review!…

The Emergent AI

1
The Linguistic Singularity – How Language Shapes Intelligence 1:09:59

منذ 17 weeks1:09:59

1:09:59

🎙️ Episode 2: The Linguistic Singularity – How Language Shapes Intelligence What if the key to intelligence isn’t circuits, but language itself ? 🤯 In this episode, Justin Harnish and Nick Baguley dive into the profound relationship between human language and artificial intelligence. They explore how neural networks didn’t just evolve—they emerged —when they cracked the code of human language. 🔥 In This Episode: 🚀 Why language is a complex adaptive system 🧠 How neural networks learn language—and what emerges when they do 📈 The moment AI stopped being autocomplete and started reasoning ✍️ Real-world AI applications: ChatGPT, Claude, Bard, and beyond ⚖️ The ethical dilemmas of AI-generated language 🧑‍💻 Featured Topics & Guests: • The science of language acquisition and how AI models compare • Steven Pinker’s The Stuff of Thought – language as a window into cognition • The transformer revolution – how models like GPT-4 changed the game • Metaphor as intelligence – how AI and humans both build meaning through analogy • Emergent properties – what happens when AI begins to “think” in context? 🛠️ Tools & Companies Mentioned: • ChatGPT, Bard, Claude – leaders in generative AI • Modern BERT, Transformer Models – the evolution of language models • Crew AI – AI-driven multi-agent automation • Vector Stores & RAG Systems – next-gen AI memory systems • Boston Dynamics & AI Robotics – where neural networks meet real-world action 📚 Resources & Further Reading: • 📄 Generative Pre-training of a Transformer-Based Language Model (Alec Radford et al.) • 📄 Generative Linguistics and Neural Networks at 60 (Joe Pater) • 📄 Unveiling the Evolution of Generative AI (Zarif Bin Akhtar) • 📖 The Stuff of Thought – Steven Pinker • 📖 Artificial Intelligence: A Guide for Thinking Humans – Melanie Mitchell • 📖 Was Linguistic AI Created by Accident? – The New Yorker • 📖 The GPT Era is Already Ending – The Atlantic 🎧 Join the Conversation: 💡 What’s your take on AI and language? Are we co-creating intelligence, or are we just really good at making pattern machines? Send us your thoughts! 🚀 Next Episode Teaser : Can humans and machines co-create the future together? We explore the next frontier of human-AI collaboration! 🎙️ Subscribe, rate, and leave us a review!…

The Emergent AI

1
What Is Emergence and Why It Matters for AI? 57:10

منذ 18 weeks57:10

57:10

In this inaugural episode of The Emergence Podcast , hosts Justin Harnish and Nick Baguley dive into the concept of emergence — a fascinating phenomenon where complex systems arise from simple interactions. They explore how emergence shapes everything from natural systems like flocks of birds to modern AI systems that learn and adapt beyond their initial programming. 🔑 Key Topics Discussed: What is emergence and why it’s a game-changer for understanding AI? How selection pressures shape complex systems in both nature and technology. The evolution of artificial intelligence from basic algorithms to generative AI that surprises even its creators. Why culture , society , and even human intelligence are forms of emergent behavior. Ethical considerations and the alignment problem in AI development. 📚 Books Mentioned: The Stuff of Thought by Steven Pinker – Discusses how language reflects human nature and shapes thought, which ties into understanding the emergent properties of AI. The Fabric of Reality by David Deutsch – Explores the theory of knowledge and how scientific progress emerges through explanation and understanding. Programming the Universe by Seth Lloyd – A groundbreaking look at the universe as a quantum computer and how information processes shape reality. The Beginning of Infinity by David Deutsch – Explains how solving problems leads to infinite progress and the emergence of new knowledge. The Survival of the Friendliest by Brian Hare and Vanessa Woods – Highlights how friendliness and cooperation drive evolution and human success. 🛠 Apps and Tools Mentioned: Crew AI – A platform that allows users to create virtual agents, build organizations with AI managers, and establish collaborative AI workforces. OpenAI – Mentioned in the context of its innovations in generative AI, including text-to-video models and multimodal systems. 💡 Key Quotes: “Emergence happens when simple systems interact to create something more complex than the sum of their parts.” “AI systems are starting to exhibit emergent behaviors that even their creators can’t predict. This is both fascinating and a little terrifying.” “Culture itself is an emergent behavior — it arises from millions of interactions across societies and evolves over time.” 🔎 What’s Next? In the next episode, we’ll explore human-AI collaboration and how emergent systems can unlock unprecedented innovation. Subscribe and stay tuned!…

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EP 570: ChatGPT’s Agent Mode Overview: 5 things you should know 32:40

The Emergent AI

The Emergent AI

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كل الحلقات

1
The Alignment Problem (Part 2): Machine Consciousness 1:32:25

1
The Alignment Problem (Part 1) 1:16:39

1
Human-AI Symbiosis 1:00:59

1
The Linguistic Singularity – How Language Shapes Intelligence 1:09:59

1
What Is Emergence and Why It Matters for AI? 57:10

مرحبًا بك في مشغل أف ام!

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The Emergent AI

The Emergent AI

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مرحبًا بك في مشغل أف ام!

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The Let Them Theory: A Life-Changing Tool That Millions of People Can't Stop Talking About

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The Let Them Theory: A Life-Changing Tool That Millions of People Can't Stop Talking About

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