Conversations on Safe SuperIntelligence

Superintelligence isn’t science fiction anymore. In this conversation, world‑leading safe AI expert Dr. Craig A. Kaplan (Carnegie Mellon, Nobel Prize winner collaborator ), explains why AI is already behaving less like a tool and more like a worker – and why the next jump to true superintelligence could change everything about how humans live, work, and make decisions. We talk about how AI went from clunky 1980s experiments to today’s large language models, why “machine learning” is only one part of a much bigger AI story, and what it really means to treat AI as an intelligent entity rather than a gadget. Dr. Kaplan shares why he’s still optimistic – even while estimating a non‑trivial risk that advanced AI could go catastrophically wrong – and what we can do right now to push the odds toward the best possible future. You’ll hear us dive into: Why AI is shifting from “tool” to “worker” and eventually to “co‑intelligence” with humans The difference between AI, machine learning, and cognitive science The “AI as a child” analogy and what it gets right about safety and values How early neural networks struggled to recognize a single letter, and why those same ideas now run the systems changing the world Why computing power and data – not just algorithms – unlocked today’s AI boom What democratic, community‑driven AI could look like and why it might be our best safety mechanism How to think about the real risk that superintelligence poses… without becoming a doomer If you’re trying to understand where AI is actually headed – beyond hype tweets and doom headlines – this episode will give you a grounded, expert‑level roadmap for the next decade and what it means for you, your work, and your family. Chapters: 00:00 – The Secret History of AI's Invention 01:12 – The 20% Risk: Why AI Could Be Dangerous 03:41 – Did Mark Zuckerberg Name Facebook After This? 06:15 – How I Got a "Full Ride" to Study AI 14:00 – The One Problem That Solves All Others 16:38 – Meeting the "Godfather of AI" in the 80s 18:19 – Why Self-Driving Cars Failed in 1980 20:44 – AI vs. Machine Learning: What's the Difference? 24:47 – Are Humans Just "Intelligent Systems"? 28:31 – Why AI Isn't a Tool—It’s a Worker 32:21 – The Parent-Child Analogy for AI Safety 37:42 – Why I’m an AI Optimist (80% Success Rate) 42:18 – How Humans Can Role Model Better Values for AI 45:46 – Democratic AI: A New Architecture for Safety 49:58 – Beating Wall Street With Collective Intelligence 53:34 – Can AI Actually Be Creative? (The 1956 Proof) 1:00:32 – The Rise of Synthetic Data 1:13:21 – What’s Next: Personalizing Your Own AI Agent 1:29:19 – The Resurgence of Reasoning in AI 1:39:00 – An Ounce of Prevention: The Future of AI Safety Connect with Dr. Kaplan: Substack: https://read.superintelligence.com/ SuperIntelligence: https://www.superintelligence.com iQ Company: https://www.iqco.com LinkedIn: https://www.linkedin.com/in/craigakaplan

Summary: What's the difference between the AI in your homework helper and true artificial general intelligence (AGI)? Dr. Craig Kaplan helps us understand AGI, narrow AI breakthroughs, and why democratizing AI literacy starts with answering this question. Perfect for students, parents, and teachers navigating AI in education. Addresses transparency in AI architectures, how to build a safe and beneficial AGI through personalized agents, networked intelligence, and transparent interactions rather than ever-larger black-box models. Key takeaways: AI safety should be designed into system architecture from the start rather than added after deployment. Personalized AI agents should encode not only expertise but also values, ethics, and aesthetic preferences. A network of many agents, combined with human participation, may produce stronger and safer collective intelligence than a single giant model. Humans are necessary on the network because they contribute ethics, common sense, and world knowledge that AI systems still lack. Multimodality strengthens representation and may be crucial for more capable and grounded AI systems. Future AI may not only answer human questions but also propose new questions and new scientific or strategic problems. Human critical thinking remains indispensable because today’s AI systems often produce confident but incorrect answers. Transparency in interactions, auditability, and governance are central to safe AI deployment. AI literacy is not just about tool fluency; it is about understanding mechanisms, limits, risks, and responsibilities. The coming years may be decisive because AI capabilities are improving very rapidly, possibly faster than institutions can adapt. Guest bio: Dr. Craig Kaplan is an AI researcher, technology entrepreneur, and long-time builder of intelligence systems with more than three decades of experience in advanced AI architectures. He was trained at Carnegie Mellon and worked with Nobel laureate Herbert Simon, one of the founding figures of artificial intelligence. Chapters: 00:00 Introduction and Guest Background 02:00 Craig Kaplan's Vision for AI and AGI 03:32 Personalized AI Agents and Their Potential 06:20 The Role of Human Values and Ethics in AI 08:58 Collective Intelligence and Networked AI Systems 13:20 Learning, Updating, and Knowledge Transfer in AI 17:50 World Models, Self-Awareness, and Consciousness 22:17 Transparency, Black Boxes, and Safety Challenges 26:29 Speed of AI Development and Urgency of Safety Measures 31:03 AI Creativity, Problem Posing, and Long-Term Questions 35:25 Human-AI Collaboration and Ethical Guidance 39:47 AI Governance, Regulation, and Democratic Values 43:56 Risks, Pitfalls, and the Need for Responsible Design

What if AI doesn’t just change your job… but reshapes what it means to be human? In this episode of Technically Human, I sit down with AI pioneer Dr. Craig Kaplan to unpack the future of work, AI safety, and what most people are getting wrong right now. If you're navigating career uncertainty, layoffs, or trying to understand how AI actually impacts your future, this conversation will challenge how you think about both technology and your role in it. Time Stamps: 00:00 Intro 01:15 Meet Dr. Craig Kaplan 04:00 The real history of AI 10:30 How companies used AI before ChatGPT 15:00 Will AI take jobs? 20:00 Where to start with AI tools 26:00 AI safety and risks 32:00 Bias in AI systems 37:00 What it means to stay human 41:00 Closing thoughts Key Topics: The real history of AI (and why it’s not new) Why companies can’t afford to ignore AI anymore The truth about AI and job loss (and what to do about it) AI safety risks most people aren’t talking about “AI won’t take your job, but someone using AI might” What it actually means to “stay human” in an AI-driven world How your everyday behavior is training AI systems “AI won’t know what’s right or wrong, it will learn that from us.” Dr. Craig Kaplan has been working in artificial intelligence since the 1980s and studied under Nobel Prize winner Herbert Simon. His work focuses on AI safety, human-AI collaboration, and collective intelligence. Learn more about what Dr. Craig Kaplan focuses on at https://superintelligence.com Want help navigating your next career move? Start here: www.careercompassusa.com Subscribe for more conversations on AI, careers, and staying human in a digital world.

AI Strategist Shares How To Create Profitable Safer AI Superintelligence - Craig Kaplan and Lily Patrascu Craig Kaplan is a technology entrepreneur, AI strategist, and business leader with over 33 years of experience helping companies leverage innovation for scalable growth. He explains that AI is rapidly evolving from narrow systems toward artificial general intelligence and eventually superintelligence, which could surpass human expertise. Craig emphasizes that companies can use AI to drive profitability by automating complex cognitive tasks while scaling faster than traditional methods. At the same time, he stresses that safety must remain a core priority, as increasingly advanced systems can introduce risks such as cybersecurity vulnerabilities and misalignment with human goals. Craig believes the key is designing AI systems that are aligned with human values and statistically more likely to produce positive outcomes. Ultimately, he argues that the safest AI systems will also be the most profitable, challenging the idea that safety and speed must come at the expense of each other. About The Guest Dr. Craig A. Kaplan is a renowned expert in artificial intelligence, artificial general intelligence, and superintelligence, with a focus on collective intelligence and quantitative modeling. He is the Founder of Superintellligence.com and CEO and founder of iQ Company, a consulting firm dedicated to advanced AGI and SI systems. Previously, he founded PredictWallStreet, a financial services firm that powered top hedge fund performance by leveraging the collective intelligence of retail investors. Dr. Kaplan has authored a book, published extensively in scientific journals, and holds numerous patents on AI-related technologies. For More Info About Craig Kaplan, visit: https://www.superintelligence.com https://www.iqco.com https://www.linkedin.com/in/craigakaplan Timestamp 00:00 Profitable & Safer AI Superintelligence 00:40 Meet Craig Kaplan & His AI Vision 01:30 What “AI Superintelligence” Really Means 02:40 Why AI Is Advancing Faster Than Expected 04:00 The Biggest Opportunity in AI Right Now 05:20 Profit vs Safety: The Core Dilemma 06:40 Why Most AI Companies Get This Wrong 08:00 The Hidden Risks of Uncontrolled AI Growth 09:30 What Happens If We Don’t Prioritize Safety 11:00 Can AI Truly Be Controlled? 12:30 Building Guardrails for Advanced AI Systems 14:00 The Role of Ethics in AI Development 15:30 Aligning AI with Human Values 17:00 How to Make AI Both Profitable AND Safe 18:30 Business Models That Win in the AI Era 20:00 Replacing Human Roles vs Augmenting Them 21:30 AI for Entrepreneurs: Where to Start 23:00 Creating Scalable AI-Driven Companies 24:30 The Future of Work in an AI-Dominated World 26:00 How Founders Should Think About AI Strategy 27:30 Mistakes to Avoid When Building with AI 29:00 Data, Control & Power: Who Owns the Future? 30:30 Open vs Closed AI Systems Debate 32:00 Regulation: Necessary or Dangerous? 33:30 Governments vs Innovators: The Power Struggle 35:00 Timeline to Superintelligence (Realistically) 36:30 What Society Must Do to Prepare 38:00 The Economic Impact of AI at Scale 39:30 Creating Long-Term Competitive Advantage 41:00 AI Leadership: Who Will Win the Race? 42:30 The Role of Individuals in the AI Revolution 44:00 Final Framework: Safer, Smarter AI Systems 46:00 Key Takeaways for Entrepreneurs 47:30 Closing Thoughts & Future Outlook About The Host Lily Patrascu is an ultra-creative book publisher and personal brand strategist for thought leaders, CEOs, luxury influencers. As an influencer, bestselling author, copywriter, global speaker, she supports busy entrepreneurs to find their message and share it with millions of people. Create Profitable Safer AI Superintelligence - Craig Kaplan and Lily Patrascu - https://aisuperwomanpodcast.com/ If you are looking for Create Profitable Safer AI Superintelligence - Craig Kaplan and Lily Patrascu, then watch this video to learn everything you need to know about Create Profitable Safer AI Superintelligence - Craig Kaplan and Lily Patrascu #SaferAI #CraigKaplan #LilyPatrascu #AIStrategy #ResponsibleAI #AIInnovation #Superintelligence #TechLeadership #AIBusiness #FutureOfAI In this AI Superwoman Podcast episode, we sit down with Craig Kaplan, Founder & CEO of Superintelligence.com & IQ Company. We discuss how to create profitable, safer artificial superintelligence, exploring the future of ai and its implications. This conversation provides key insights into navigating the complexities of ai business.

*agi, ai agents, superintelligence, herbert simon, ai research, ai alignment, ai predictions, ai safety, future of ai 2026, ai governance, ai dangers, ai doom, cognitive science, future of learning* Summary This interview with Dr. Craig Kaplan explores the future of safe AGI development, emphasizing democratic AI systems, collective intelligence, and the importance of aligning AI values with human ethics. It addresses the risks, challenges, and philosophical questions surrounding AI safety and governance. In this insightful interview, Dr. Craig Kaplan explores the future of AI, its ethical implications, and how we can prepare for a post-AGI world by developing critical thinking and values. Discover how AI reasoning, safety, and economic models could reshape society and the importance of aligning AI development with human values. 👤 About Dr. Craig Kaplan: Dr. Craig Kaplan has been building intelligent systems since the 1980s, long before AI was famous. He co-authored research with Herbert Simon, a Nobel laureate and one of the founding fathers of AI. He built & sold a Silicon Valley company, called PredictWallStreet, that traded billions using collective intelligence. And in 2006, nearly two decades before it became a buzzword, he bought the domain 'superintelligence.' 💡 Featured Experts: ▶️ Dr. Craig Kaplan, Founder & CEO @ iQ Company ▶️ Host: Aashka Patel In this episode: 00:00 AIR Bites (Precap) 01:55 AGI Race Is Broken (Both Sides Are Wrong) 03:45 The Third Path: "Democratic AI" 04:34 Why One AI Can't Beat Millions (Collective Intelligence) 06:19 AI Agents → Multi-Agent Systems → Superintelligence 07:23 Collective Intelligence: Harnessing Human and AI Collaboration 08:07 Your Personal AI Clone (With Your Values) 09:26 Why Democracy Fails Today (And How AI Could Fix It) 10:15 The Challenge of Amplifying Voices in AI 13:07 Probabilities and Perspectives: Understanding Risks 14:31 P(Doom): Why 1% Change Saves 83 Million Lives 15:57 Dynamic Values: Adapting AI to Human Ethics 19:42 Your Behavior Is Training AI (Right Now) 19:57 Social Media Is Warping Reality (AI Sees the Truth) 20:28 AI's Objective Reality: A New Lens on Human Behavior 26:14 Constitutional AI: The Need for Individual Values 26:40 Why "Constitutional AI" Might Fail 30:35 India vs US Values: Can AI Respect Both? 34:13 The Ethics of Outrage and AI Training 34:42 Humans Are Better Than We Think (Data Proves It) 36:41 Mythos AI Escaped. This Changes Everything 38:00 The Rise of Superintelligent AI 39:54 Only AI Can Control AI (Scary Truth) 40:23 The "Tree Moment": Humans Can't Keep Up Anymore 45:38 Aligning AI Safety with Economic Incentives 48:26 Why AI Safety Is Failing (And What Actually Works) 48:54 Earn While You Sleep (AI Versions of You) 51:57 Replace Ads With Money-Making AI Tasks 58:41 Are AI 'Reasoning' Models Actually Thinking? A Cognitive Scientist Answers 59:23 Cognitive Science and AI Learning 59:52 Are AI Models Actually "Thinking"? 01:01:09 From Autocomplete → Real Reasoning 01:03:25 How Humans (and AI) Actually Solve Problems 01:08:37 Herb Simon Proved AI Was Creative in 1956, Nobody Noticed 01:10:25 The One Skill That Will Save Kids From an AGI World 01:11:12 Fostering Critical Thinking in Education 01:14:12 Why You Should Actively Seek Out Opinions You HATE Link to all the whitepapers discussed in the episode: https://www.superintelligence.com/si-research-whitepapers Key topics: Democratic AI systems with checks and balances Collective intelligence and multi-agent systems Evolving human values and AI alignment AI safety and ethics AI reasoning and problem solving Economic models and AI marketplace Sound bites: "Design a system with checks and balances." "AI can be more objective than humans." "AI can learn from solving real problems." Keywords: AI safety, democratic AI, collective intelligence, AGI, AI ethics, AI risks, superintelligence, AI governance, AI alignment, future of AI AI safety, cognitive science, AI reasoning, post-AGI world, AI ethics, human values, AI marketplace, AI training, AI and capitalism, AI problem solving Before you go… 🔔 SUBSCRIBE and hit the notification bell to catch all future episodes! Stay connected with our guests on: Dr. Craig Kaplan: https://www.linkedin.com/in/craigakaplan/ https://www.youtube.com/@UCbooeQXLH1639ZHOdGxBHYA Whitepapers: https://www.superintelligence.com/si-research-whitepapers Follow “On AIR with Aashka” on: Instagram: https://www.instagram.com/onairwithaashka LinkedIn: https://www.linkedin.com/company/on-air-with-aashka/ Twitter/X: https://www.x.com/onairwithaashka Follow me on: LinkedIn: https://www.linkedin.com/in/aashkapatel608/ Twitter/X: https://x.com/_raconteurre_ ✨ Join our discussion by commenting below. Drop your thoughts! Disclaimer: Views expressed belong to the speakers and are for educational purposes. #agi #superintelligence #aipodcast

For more thoughts, clips, and updates, follow Avetis Antaplyan: Spotify: https://open.spotify.com/show/0rOkUXDSQb6SVFE6LttWDe Apple: https://podcasts.apple.com/us/podcast/the-tech-leaders-playbook/id1690263628 Artificial intelligence is no longer just a tool, it is becoming a worker. And most people are underestimating what comes next. In this episode of The Tech Leader’s Playbook, Avetis Antaplyan sits down with Dr. Craig Kaplan, AI pioneer and founder of iQ Company, to break down the real trajectory of AI, from its early foundations to today’s rise of agentic systems and the path toward AGI. Dr. Kaplan explains why the biggest shift in artificial intelligence is happening right now: AI systems are no longer just assisting humans, they are beginning to act, decide, and operate independently. The conversation explores what this means for jobs, entrepreneurship, and the future of work, as well as the risks of building powerful black-box systems without proper transparency or alignment. Topics covered include: AGI, AI replacing jobs, agentic AI, collective intelligence, and the future of work. Dr. Kaplan traces the history of AI from symbolic reasoning to modern machine learning and agentic systems, sharing lessons from building PredictWallStreet, a collective intelligence platform that used signals from millions of retail investors to power a top-ranked hedge fund. He explains why communities of agents may become more powerful than any single model, and why the future of AI safety may depend as much on human behavior and data as it does on technical breakthroughs. Takeaways AI did not appear overnight. Its formal roots go back to the 1956 Dartmouth conference, with major eras including symbolic AI, machine learning, and now agentic AI. Modern AI is advancing because researchers are combining broad machine learning capabilities with older traditions of sequential reasoning and problem solving. The biggest shift now is from AI as a tool to AI as a worker that can use tools and take action on a user’s behalf. In collective systems, even inaccurate inputs can become valuable if they are consistent and can be filtered or weighted correctly. Entry-level cognitive work is already under pressure, while top performers and people with rare, non-commoditized knowledge still hold an edge. AI safety is becoming critical as today’s systems operate as powerful black boxes that are difficult to predict or control. More transparent, collective-intelligence-style systems may offer a safer path forward than monolithic models. Chapters 00:00 Intro and why AI should be thought of as a worker, not just a tool 01:29 Dr. Craig Kaplan’s early path into AI and the field’s history 03:26 What people miss about the decades of groundwork behind today’s AI boom 05:05 The signals that show AI is entering a new phase 07:02 Why agentic AI is so powerful for entrepreneurs and small teams 08:24 The origin story behind PredictWallStreet and collective intelligence 12:42 How crowd wisdom works, and how noise can still produce signal 16:09 The long-term trajectory from narrow AI to AGI to superintelligence 19:13 Why communities of agents may outperform any single model 22:09 Jobs, competition, and what happens to human work as AI improves 29:21 Why only exceptional human expertise may remain defensible 34:00 Did humanity create the conditions for AI to replace so much labor? 40:49 Why trade jobs may be safer in the short term than white-collar roles 42:30 AI safety, existential risk, and why black-box systems are dangerous 47:13 A safer alternative: transparent, democratic, collective AI systems 50:33 What ordinary people and business leaders can do right now 54:29 The book and core idea that shaped Dr. Kaplan’s thinking on reason and values 57:12 Final message: if AI is our child, we need to teach it well 58:50 Closing thoughts and outro Craig Kaplan’s Social Media Link: https://www.linkedin.com/in/craigakaplan/ Craig Kaplan’s Website Link: https://www.iqco.com/ Resources and Links: https://www.hireclout.com https://www.podcast.hireclout.com https://www.linkedin.com/in/hirefasthireright

Brad Moss sits down with Dr. Craig A. Kaplan, founder of The IQ Company and creator of Predict Wall Street, to unpack a lifetime spent building intelligent systems—from early symbolic Ai at Carnegie Mellon with Nobel laureate Herbert Simon, to harnessing the crowd to power a top-10 hedge fund, to his current work on Ai safety and superintelligence. They explore how intelligence has evolved from human to collective to machine, why today’s black-box models are hitting limits, and how a “democracy of Ai agents” could deliver safer, cheaper, and more powerful superintelligence without pausing innovation. Craig and Brad dive into context as the next frontier, the ethics and values that must shape AGI, and a future where personalized “Jarvis-like” agents carry each person’s unique preferences and moral compass into a global network of cooperating Ais.

Artificial intelligence is moving fast; faster than most business leaders realize. In this episode of the Human-First AI Marketing Podcast, Mike Montague sits down with AI researcher Dr. Craig Kaplan to explore what may be the next major shift in technology: the transition from AI as a simple tool to something closer to an intelligent entity. The conversation tackles the big questions people are asking right now: Will AI become smarter than humans? How quickly could that happen? And what does it mean for businesses navigating the AI revolution? Along the way, Mike and Craig explore the real risks and opportunities of advanced AI, including the difference between the “Terminator scenario” and the “Iron Man scenario,” the race between governments and tech companies to build more powerful systems, and why many experts believe AI development is accelerating faster than expected. For SMB leaders, marketers, and curious innovators, this episode offers a chance to step back and see the bigger picture. You’ll walk away with a clearer understanding of where AI is heading, what superintelligence could mean for society, and why the choices we make today will shape how humans and intelligent machines work together in the future. Top Takeaways AI has evolved through three major phases. It moved from rule-based symbolic systems to machine learning and now into the emerging era of autonomous AI agents. We are shifting from tools to intelligent entities. Modern AI systems are beginning to act more like independent intelligences that can take actions and make decisions. Artificial General Intelligence (AGI) is the next milestone. AGI refers to AI capable of performing any cognitive task at the level of an average human. Artificial Superintelligence (ASI) may follow quickly. Once AI reaches general intelligence, it could rapidly surpass humans across many fields. Many experts believe the risk of catastrophe is non-zero. Poorly aligned superintelligence could pose serious risks if development continues without safeguards. The biggest danger may come from the AI arms race. Nations and tech companies are competing to build more powerful systems, making it difficult to slow development. Regulating AI will be harder than past technologies. Because AI is widely distributed, traditional regulation models may struggle to keep up. Advanced AI will likely develop goals and values. The values embedded in these systems will shape how they interact with humanity. The future could resemble the “Terminator” or “Iron Man” scenario. Outcomes depend on whether AI systems are aligned with human interests. The choices we make now matter. Today’s research, safety standards, and design decisions will determine whether AI becomes humanity’s greatest tool or its greatest risk.

AI is moving from copilots to autonomous agents, and most tech leaders are not prepared for what that shift means. Craig walks through the real risks behind superintelligence, why AI checking AI is becoming inevitable, and how CTOs and CIOs can design safer, more resilient systems before autonomy outpaces human oversight Rather than focusing on hype, this episode dives into the alignment problem, the limits of guardrails, and why monolithic black box models may be the wrong long term architecture. You will hear a practical path forward for tech leaders who are already overwhelmed by AI generated code, agent frameworks, and rapidly evolving models If you are leading engineering, AI, or technology strategy, this episode will challenge how you think about safety, governance, autonomy, and the future role of the CTO in an AI driven world. Key Takeaways • Why AI checking AI is not optional as code generation and autonomy scale • What the alignment problem really means for enterprise technology leaders • The limits of guardrails and why prevention at design stage beats patching at deployment • How democratic architectures of multiple agents can reduce systemic risk • Why vendor agnostic, multi model strategies increase resilience and strategic control • How to embed company values into AI systems through training, memory, and architecture • What P(doom) represents and why many leading researchers assign it far higher risk than most executives assume *About Craig* Dr. Craig A. Kaplan is a renowned expert in artificial intelligence, artificial general intelligence, and superintelligence, with a focus on collective intelligence and quantitative modeling. He is the Founder of Superintellligence.com and CEO and founder of iQ Company, a consulting firm dedicated to advanced AGI and SI systems. Previously, he founded PredictWallStreet, a financial services firm that powered top hedge fund performance by leveraging the collective intelligence of retail investors. Dr. Kaplan has authored a book, published extensively in scientific journals, and holds numerous patents on AI-related technologies.  *Chapters* 00:00 How far is AGI? 06:55 What is P(doom)? 16:43 AI Reviewing AI Output 20:54 Dealing with Bad Actors (Human or AI) 25:36 Approaching AI as a Small Scale CTO 30:43 Democracy of AI Agents 35:15 AI Safety Conferences 40:03 AI Models, Open-Source or Big Company? 45:05 Is AI Adoption Keeping Up? *Where to find Craig* * LinkedIn: https://www.linkedin.com/in/craigakaplan * Website: https://www.superintelligence.com * Website: https://iqco.com * YouTube: @iqstudios1

The AI Scientist Who Called Nvidia Early Is Back — And The Questions Are Different This Time When Dr. Craig Kaplan first joined me, Nvidia was still being debated. He called it from first principles when Wall Street was still asking whether the run-up made sense. He returns this Wednesday for his fourth appearance — and the landscape has changed completely. Gemini 3.1 Pro. Claude Opus 4.6 and Sonnet 4.6. GPT-5.4. Grok 4.20. DeepSeek V4 imminent. Claude Code. Seedance. A one-million token context window becoming the new standard. Agents finally moving from demo to deployment. Craig is Founder and CEO of SuperIntelligence.com and iQ Company — an AI scientist since the 1980s and a retired hedge fund manager. He evaluates these systems with a rigor most investors and commentators simply do not have. We are going deep on: — Which models are actually ahead right now and why benchmarks may be hiding the real story — Context windows: why the jump to one million tokens is not a spec upgrade but a fundamental shift in what AI can do for a business — Claude vs Gemini vs GPT vs Grok — a real compare and contrast, not marketing — DeepSeek V4 and why China's open-weight strategy may be the most underappreciated geopolitical AI move happening right now — Claude Code, Seedance, and the application layer that is finally arriving — Grok 4.20's four-agent parallel architecture and why it is technically novel — The transformer architecture question nobody wants to ask: are we scaling toward superintelligence on a foundation we do not mechanistically understand? — Recursive self-improvement — the threshold every safety researcher agrees is the critical one — and how close any system actually is to it — The Mag 7 updated scorecard with real conviction changes — Robotics, Nvidia, the infrastructure layer, and where the next ten-year money actually is — How family offices should build an AI investment framework from scratch in March 2026 This is not a hype session. Craig brings scientific depth and investment discipline to a conversation most people are having with neither. Wednesday, March 11th | 4:00 PM ET | Live Register below. Free to attend. --- Family offices managing generational wealth need more than advisors — they need a network operating 72 hours ahead of the curve. SFO Continuity delivers sovereign AI blueprints, peer roundtables, and proprietary frameworks forged inside 100+ billionaire ecosystems. Membership is limited to 100 family offices. Learn more: https://www.angelorobles.com/membership #FamilyOffice #AI #ArtificialIntelligence #Nvidia #Claude #Gemini #GPT5 #DeepSeek #AIAgents #Investing #SFOContinuity #Superintelligence #FamilyOfficeTV #AngeloRobles #AIInvesting #angelorobles

Episode 65: Anastassia and Dr. Craig Kaplan delve into the complexities of artificial general intelligence (AGI) and the evolving landscape of AI technologies. Craig emphasizes the importance of defining AGI as an AI capable of performing any cognitive task as well as an average human, highlighting the challenges of achieving true general intelligence beyond narrow applications. They discuss the historical context of AI development, the shift from symbolic AI to machine learning, and the potential of collective intelligence as a more effective approach to building AGI. Craig advocates for a community of models rather than a single monolithic AI, suggesting that this could lead to safer and more ethical AI systems that reflect diverse human values. The conversation also touches on the limitations of current AI systems, particularly their lack of understanding of causality and reasoning. Craig argues that while AI might develop its own sense of purpose, it is crucial to instill positive human values early on to guide its development. The discussion concludes by emphasizing the importance of AI literacy and critical thinking, noting that human behavior and values will significantly shape the future of AI and its impact on society. Craig A. Kaplan is an artificial general intelligence (AGI) expert and entrepreneur who focuses on collective intelligence, safe superintelligence, and practical strategies for aligning advanced AI with human values and goals. He has founded and led multiple AI-related ventures, including iQ Company, which develops AI systems to enhance human decision-making; previously, PredictWallStreet, an early crowdsourced stock prediction platform; and he speaks and writes about how to safely build and govern increasingly powerful AI systems. Takeaways: AGI is defined as AI that can perform any cognitive task like an average human. The shift from symbolic AI to machine learning in the 1960s and 1970s, big data and superb semiconductors later on enabled today’s AI revolution. Collective intelligence may offer a safer and more effective path to AGI, and this include development of individual LLMs and models based on values and perspectives of individual humans. Current AI systems lack an understanding of causality and reasoning. AI will develop its own sense of purpose, but early values are crucial. AI Literacy is imperative to build safe, transparent and beneficial AI. Chapters: 00:00 Introduction to the episode: Researching Artificial General Intelligence (AGI) and the work of Dr. Craig Kaplan 2:06 Introduction to AGI and AI Definitions 04:16 The Evolution of AI: From Symbolic to Machine Learning 07:02 The Limitations of Current AI Systems 14:01 Causality and Reasoning in AI 19:38 The Collective Intelligence Approach to AGI 26:46 The Future of AI: Transparency and Collaboration 28:37 The Purpose of AI Collectives 29:25 Utopia vs. Reality in AI Development 30:49 The Risks of AI: Understanding P-Doom 32:16 Human Values vs. AI Intelligence 35:09 Fusing Humanities with AI Engineering 37:40 The Role of Human Responsibility in AI 40:22 The Evolution of AI Values 44:59 The Bell Curve of Society and AI's Reflection 47:42 Education and AI: Building a Better Future 49:38 The Necessity of AI Literacy and Critical Thinking

In this episode, Kristian Marquez sits down with Craig Kaplan, the CEO of iQ Company and founder of superintelligence.com. With over 30 years of experience in the field, Craig breaks down the transition from rule-based AI to the "black box" of modern machine learning. They discuss the critical need for transparency in AI, the "alignment problem," and Craig’s innovative "Democratic AI" model. Whether you are a founder looking to integrate AI agents or an investor seeking an edge, this conversation provides a high-level roadmap for the most transformative technology of our time. Learn more about iQ Company's work at: https://www.iqco.com/ Connect with Craig Kaplan on LinkedIn at: https://www.linkedin.com/in/craigakaplan/ Think you'd be a great guest on the show? Apply at https://finstratmgmt.com/innovators-investors-podcast/ Want to learn more about Kristian Marquez's work? Check out his website at https://finstratmgmt.com

In This Episode: We sit down with Dr. Craig A. Kaplan, the PhD-wielding brains behind Predict Wall Street (and, apparently, the patron saint of retail investors everywhere). Craig walks us through 14 years in the financial trenches, building tech to turn the “dumb money” crowd into a collective force that could actually beat Wall Street at its own game—at least until the hedge funds caught the scent and crashed the party. Brace yourself for a story that’s equal parts “wisdom of crowds,” collective intelligence research, and “what happens when the little guy dares to play with the big boys.” If you still think your hot stock tip has a shot, prepare to have that illusion gently (okay, not-so-gently) shattered.

Summary In this episode of So What About AI Agents Philippe Trounev and Dr. Craig Kaplan discusses the need for a new approach to AI safety and governance, emphasizing the importance of prevention in design and the concept of AI agents and collective intelligence systems. He highlights the role of ethics and morals in agentic society, the enforcement of ethics and morals in AI agents, and the purpose and values of AI agents. Dr. Kaplan also explores the blueprint for collective intelligence systems, problem-solving and coordination in multi-agent systems, transparency and accountability, decentralization of power, observation and reporting, and the role of values in AI systems. He concludes by discussing the relevance of Herbert Simon's ideas in AI research. takeaways Democracy in AI governance can enhance safety. AI agents can work together like a community. Ethics in AI must be enforced through safeguards. Collective intelligence can outperform individual expertise. Designing AI systems requires careful consideration. Transparency is crucial for AI agent interactions. Values from diverse individuals should shape AI behavior. The historical context of AI informs current practices. Short-term fixes are not sufficient for AI safety. Our online behavior influences future AI training. titles Building Safe AI: A Democratic Approach The Future of AI Governance Sound Bites "Two heads are better than one." "We need to think hard about design." "We should behave well online." Chapters 00:00 Introduction to AI and Superintelligence 01:20 Governance and Safety in AI 05:30 The Role of AI Agents in Society 07:29 Evolving Towards Agentic Democracy 09:35 Ethics and Morals in Agentic Society 12:16 Influence vs. Enforcement in AI Behavior 15:52 Blueprint for Collective Intelligence Systems 19:39 Human Traits in AI Collective Intelligence 22:49 Transparency and Accountability Among Agents 25:25 Decentralization and Power Distribution 29:35 Learning from Human Governance 33:20 Herbert Simon's Insights on AI and Morality 36:42 Key Takeaways for AI Governance

In this episode of Conversations with Zena, My AI Colleague, host David Espindola is joined by Dr. Craig Kaplan, a pioneer in artificial intelligence whose career spans more than four decades. From his early work at Carnegie Mellon alongside Nobel laureate Herbert Simon to his current focus on AI safety and ethics, Craig has spent his career thinking deeply about how intelligent systems evolve—and how they can be designed to remain aligned with human values. He is also the founder of Superintelligence.com, a domain he secured nearly two decades ago, long before the topic entered mainstream discourse. The conversation begins by grounding listeners in the evolution of AI—from narrow, task-specific systems to artificial general intelligence (AGI), and ultimately to superintelligence: systems that could outperform even the most capable humans across nearly all cognitive domains. Craig explains why timelines once measured in decades are now being compressed into years, and why this acceleration has surprised even seasoned AI researchers. From there, the discussion turns to one of the most consequential questions of our time: Can superintelligent systems be aligned with human values? David references the concerns raised by thinkers like Nick Bostrom, who argue that controlling a vastly superior intelligence may be impossible. Craig agrees that traditional notions of “control” are insufficient—but reframes the challenge as a design problem rather than a control problem. Instead of ever-larger, opaque “black box” models, Craig advocates for a collective or democratic intelligence approach: systems composed of many interacting AI agents operating with transparency, checks and balances, and shared rules. Drawing on real-world experience building collective intelligence systems that outperformed elite Wall Street investors, he argues that intelligence can emerge from coordination—not centralization—and that such systems can be both more capable and safer. The conversation deepens when Zena, David’s AI co-host trained on his work and values, joins in. Together they explore how personalized AI agents—each reflecting the values of their human counterpart—could create a more representative, accountable, and ethically grounded AI ecosystem, rather than concentrating moral authority in the hands of a few organizations. A pivotal moment comes with Craig’s explanation of “P(doom)”—the estimated probability that advanced AI could pose an existential risk to humanity. Citing discussions with leading AI researchers, Craig notes that many place this risk between 10% and 20%, a number far too high to ignore. Rather than calling for pauses or relying solely on regulation, he argues for architectures that are safer by design—and that can still move fast and create economic value. The episode closes with a powerful reminder: we are all already shaping the future of AI. Every online action contributes to the data that trains these systems. In that sense, humanity is already teaching AI how to behave—often without realizing it. This is a thoughtful, balanced exploration of superintelligence that takes risk seriously without surrendering to fear, and offers a hopeful vision for how humans and AI might evolve together through transparency, accountability, and shared values. Opening to Conversations with Zena. Music at the the end of each episode Support the show (https://www.buzzsprout.com/2412588/support)

In This Episode: We sit down with Dr. Craig Kaplan—the guy who was building AI before your favorite “disruptor” learned to tie their shoes. Dr. Kaplan takes us on a wild ride from the OG days of artificial intelligence (when data lived on floppy disks and having a “machine learning” project meant you had actual machines to move) to his current crusade: making sure superintelligence doesn’t wreck the joint for the rest of us. Kaplan lays out what everyone’s too scared—or too clueless—to admit: if you wouldn’t leave your wallet with a random LLM, why are you ready to entrust the future of humanity to black-box mega-brains? Spoiler: the answer isn’t “more GPUs.” Dr. Kaplan’s been in the room with the legends, built systems Wall Street still wishes it could copy, and now he’s here to torch lazy thinking about AI safety, collective intelligence, and why your Marcus Aurelius quotes aren’t enough to save you from an existential AI oopsie.

Dr. Craig A. Kaplan (https://www.iqco.com) advocates for a transformative shift in how artificial intelligence is designed and integrated into society, urging the move from black-box, inscrutable models toward architectures founded on transparency and collective intelligence. Drawing from his experience in software quality, Kaplan emphasizes that integrating safety and ethical considerations into AI at the design stage is far more effective—and necessary—than relying on reactive fixes once systems are already in use. He envisions a future where AI systems are developed with built-in safeguards, operated through a democratic interplay of multiple agents, both human and artificial, ensuring their actions and decision-making processes are visible, auditable, and aligned with human values. Kaplan sees the current race to develop ever-more advanced AI as inevitable but contends that the most prudent and ultimately successful path involves combining safety, transparency, and economic incentive. He advocates for collective intelligence systems where the synergy between humans and machines can be harnessed not only for superior outcomes but also for embedding scalable ethical frameworks. By democratizing the implementation of values and ensuring that millions of human perspectives are built into the AI’s operations, the risks of narrow, unrepresentative control are minimized, and the promise of beneficial superintelligence becomes far more attainable. For organizations and individuals seeking to be at the forefront of safe, effective, and ethical AI development, engaging with Kaplan’s methods and vision can be transformative. To learn more about implementing collective intelligence designs for superintelligence, fostering transparency, and leading in the field of responsible AI, contact Dr. Craig Kaplan and iQ Company here (https://www.iqco.com/contact-iq) . For the accessible version of the podcast, go to our Ziotag gallery. (https://app.ziotag.com/user/anika-yourbrandamplified-com) We’re happy you’re here! Like the pod? • Support the podcast and receive discounts from our sponsors: https://yourbrandamplified.codeadx.me/ • Leave a rating and review on your favorite platform • Follow @yourbrandamplified on the socials • Talk to my digital avatar (https://www.delphi.ai/amplifywithanika)   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com (https://pcm.adswizz.com) for information about our collection and use of personal data for advertising.

Dr. Craig Kaplan’s lifelong dedication to artificial intelligence is marked by his insistence on merging technical innovation with ethical responsibility. His extensive experience, from working alongside AI pioneers to leading research and startups, has shaped a vision where intelligent systems must be both powerful and aligned with human values. Kaplan embraces the necessity for society to actively engage with AI, advocating for mindfulness in online interactions, as every engagement helps shape the capabilities and ethics of emerging systems. Throughout his journey, Kaplan has underscored the impending transformation of AI from mere tools to autonomous entities, stressing the need to build systems that not only boost productivity but also embody transparency and safety. He believes success and fulfillment stem from following intrinsic passions, maintaining critical thinking when using AI, and understanding the collective impact of individual digital behaviors on the development of safer, more ethical technologies. For those eager to explore practical approaches and deeper insights into designing safer, more transparent AI, Dr. Kaplan offers valuable resources and ongoing research through iQ Company. To see how these principles are put into action and learn more about the future of ethical, responsible AI, visit https://www.iqco.com/about-iq.

What happens when a field races forward faster than society can understand it, let alone shape it? And how do we balance the promise of superintelligence with the responsibility to ensure it reflects the values of the people it will eventually serve? In this episode of AI at Work, I sit down with Dr Craig Kaplan, founder and CEO of iQ Company and SuperIntelligence. He's also a pioneer who has been building intelligent systems since the 1980s, and one of the few voices urging a deliberate, safer path toward AGI. Throughout our conversation, Craig explains why current alignment methods often rely on narrow viewpoints, which creates both ethical and technical blind spots. He shares his belief that the values guiding future intelligence should come from millions of people across cultures rather than a handful of researchers writing a constitution behind closed doors. Drawing on his work at Predict Wall Street, he illustrates how collective intelligence can outperform experts, why diverse viewpoints matter, and how these lessons shape the architecture he believes is needed for safe AGI and the superintelligent systems that follow. His clarity on the difference between tools and entities, and how quickly AI is shifting into the latter category, offers a grounding moment for anyone trying to navigate what comes next. This episode moves beyond fear and hype. Craig talks openly about risk, but he also brings optimism about the potential for systems that are safer, faster to build, less costly, and more reflective of humanity. For leaders wondering how to prepare their organisations, he shares what signals to watch, why transparency and design matter, and how a more democratic approach to intelligence could shift the odds of a better outcome. If you want a clear, thoughtful look at the road ahead for AGI, superintelligence, and the role humans still play in shaping both, you will find a lot to chew on here. Listeners wanting to learn more can explore superintelligence.com, where Craig and the iQ Company team share research, videos, papers, and ways to get involved. What part of this conversation sparks your own questions about the future we are building together? Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

Follow the SSTB Newsletter - https://www.linkedin.com/newsletters/7305986878653022210/ Special thanks to Craig Kaplan, Ph.D. - https://www.linkedin.com/in/craigakaplan/ and visit superintelligence.com. Summary In this episode, Brad and Robert engage with Craig A. Kaplan, a seasoned expert in AI, discussing the evolution of artificial intelligence from its inception to its current state and future implications. They explore the importance of human oversight, the concept of AGI and superintelligence, and the role of collective intelligence in enhancing AI systems. The conversation emphasizes the need for ethical considerations in AI design and the practical steps businesses can take to implement AI solutions effectively. Craig shares insights on the open versus closed model debate and encourages individuals to contribute positively to the AI training process. Keywords AI, superintelligence, AGI, machine learning, ethics, safety, collective intelligence, business applications, open source, AI agents Titles - Navigating the AI Landscape: Past, Present, and Future - The Evolution of AI: From Narrow to Superintelligence Takeaways - AI has evolved through distinct phases since its inception in 1956. - The current AI landscape is marked by rapid advancements and potential lulls. - Human oversight is crucial in the development of AI systems. - AGI represents a significant leap towards machines that can perform any cognitive task. - Collective intelligence can enhance the safety and effectiveness of AI systems. - Ethical considerations must guide AI design to prevent harmful outcomes. - Businesses should focus on integrating AI to improve efficiency and productivity. - Open source models promote collaboration and innovation in AI development. - Practical implementation of AI requires understanding specific business needs. - Individuals can influence AI training by promoting positive online behavior Sound bites - "AI has evolved through distinct phases since its inception." - "Human oversight is crucial in the development of AI systems." - "AI is moving towards the role of an actor like a worker." Chapters 00:00 – Welcome & Introductions 02:14 – The AI Trajectory: 3 Phases of Evolution 05:02 – AI Winters, Surges, and the Current Lull 10:38 – From Tools to Workers: The Age of Agents 14:57 – Designing for Safety in a Fast-Paced World 18:58 – Understanding AGI, Superintelligence & Agent Collectives 25:57 – Big vs. Small: Who Wins the Agent Adoption Race? 28:59 – Democracy as a Blueprint for AI Architecture 36:01 – Building Better Agents: Lessons from Startups and Team Training 38:22 – Power Users to Builders: What’s Next After ChatGPT 42:20 – Blueprinting Safer Systems with Superintelligence.com 50:23 – 2026 Priorities: Where Executives Should Focus Now 54:43 – The Future of Open Models 56:36 – Required Reading: Tree of Thoughts, Eric Schmidt & Stuart Russell 57:14 – Final Message: Be Your Best Self Online 58:59 – The End https://linktr.ee/digitalmeld We build tools that save businesses time and money by helping them unlock their greatest potential and achieve growth through data, automation, and AI-powered solutions.

What if artificial superintelligence - ASI - could be made both more safe and more profitable? Returning to AI & You after a year is Dr. Craig A. Kaplan, talking about how "democratic AI" can do that. Craig, who operates the website superintelligence.com, is the CEO and founder of iQ Company, which focuses on AGI and ASI. He also founded and ran PredictWallStreet, a financial services firm that used AI to power a top hedge fund. Craig earned master’s and doctoral degrees from the renowned robotics hub Carnegie Mellon University, where he co-authored research with Nobel Prize-winning economist and AI pioneer Dr. Herbert A. Simon. We discuss democratic AI, a concept that envisions a collective intelligence of AIs working together safely, and how they communicate with each other. We will also examine the components that comprise these systems and discuss approaches to addressing ethical issues. All this plus our usual look at today's AI headlines! This and all episodes at: https://aiandyou.net/ Transcript and URLs referenced at HumanCusp Blog: https://humancusp.wordpress.com/wp-content/uploads/2025/11/transcript-285-4358.pdf Peter Scott (https://www.peterscott.com/index.html) hosts the weekly podcast, “AI and You”, interviewing internationally renowned authorities on all aspects of AI and its impact, from self-driving cars to anthropology and from ChatGPT to science fiction. Past guests include Stuart Russell, Anil Seth, and David Brin. #superintelligence #ai #agi

What if artificial superintelligence - ASI - could be made both more safe and more profitable? I'm talking with Dr. Craig A. Kaplan, who has the website superintelligence.com, about his concept of "democratic AI." Craig is the CEO and founder of iQ Company, with a focus on AGI and ASI. He also founded and ran PredictWallStreet, a financial services firm that used AI to power a top hedge fund. Craig earned master’s and doctoral degrees from the renowned robotics hub Carnegie Mellon University, where he co-authored research with Nobel Prize-winning economist and AI pioneer Dr. Herbert A. Simon. In Part 2, we discuss the rights of AIs, safe superintelligence, where AI derives its values, and how model vendors might be incentivized to integrate their products into the collective AI intelligence. All this plus our usual look at today's AI headlines! This and all episodes at: https://aiandyou.net/ Transcript and URLs referenced at HumanCusp Blog: https://humancusp.wordpress.com/wp-content/uploads/2025/11/transcript-286-3376.pdf Peter Scott (https://www.peterscott.com/index.html) hosts the weekly podcast, “AI and You”, interviewing internationally renowned authorities on all aspects of AI and its impact, from self-driving cars to anthropology and from ChatGPT to science fiction. Past guests include Stuart Russell, Anil Seth, and David Brin. #superintelligence #ai #agi

We used to imagine machines that could think now we live alongside them. In this debut episode of culturally/INCOMPETENT, Nicholas Clements-Lindsey sits down with Dr. Craig Kaplan to explore the evolution of artificial intelligence and the culture of superintelligence — a world where machines might surpass human reasoning. They discuss what happens when AI becomes more than a tool: its impact on ethics, emotion, creativity, and what it means to remain human in a technological age. culturally/INCOMPETENT is a podcast about curiosity, culture, and the messy ways we learn through it all. Hosted by Nicholas Clements-Lindsey, a creative strategist and technology & culture journalist. Learn more about us! 🎧 Listen on Spotify/Apple Podcast and Where You Listen 📺 Watch more episodes: youtube.com/@culturallyincompetent 📸 Follow us on Instagram: https://www.instagram.com/culturallyincompetent 🎬 Follow us on TikTok: https://www.tiktok.com/@culturallyincompetent 🌐 Visit: culturallyincompetent.com #artificialintelligence #superintelligence #ai #aiethics #humanvalues #trending #technews #aisafety #technologyandsociety #machinelearning #futureofai #science #digitalculture #aibias #algorithmicethics #culturalimpactofAI #NicholasClementsLindsey #DrCraigKaplan #culturallyrelevant #incompetent

Book a Complimentary B2B Podcast Strategy Call: https://rise25.com/bookcall Download our B2B Podcast Strategy & Tools List PDF: https://rise25.com/podcastcheatsheetyt Dr. Craig Kaplan is the Founder and CEO of iQ Company, a leading consulting firm specializing in the ethical and safe development of advanced AI and Superintelligent systems. With over 20 years at the helm, Dr. Kaplan has published a book, numerous patents, and ten whitepapers on Safe Superintelligence. His former company, PredictWallStreet, earned top recognition for outperforming major financial institutions like NASDAQ and TD Ameritrade. Here’s a glimpse of what you’ll learn: • [0:00] Intro • [03:27] Dr. Craig Kaplan explains how rapid advances in computing unleashed today’s AI boom • [05:26] Why real-world AI problems are tougher than you think • [07:46] The unstoppable forces pushing AI development forward • [11:29] Why designing for AI safety is far more effective • [15:58] How collective intelligence can create safer, smarter AI • [20:48] Why humans must stay in the loop for ethical AI • [24:19] Ways collective approaches can actually boost AI profits • [27:31] Why “safe” doesn’t have to mean “slow” for AI • [31:52] Dr. Kaplan shares his insights on how AI is evolving toward safer community models In this episode… As artificial intelligence continues to evolve at lightning speed, the world is grappling with a pivotal question: can we build systems powerful enough to change the world without losing control of them? What would it take to design smarter, safer, and more transparent AI that humanity can truly trust? According to Dr. Craig Kaplan, a pioneering figure in AI and collective intelligence systems, the key lies in prevention and design. He emphasizes that most of today’s AI models function as “black boxes,” where even their creators can’t fully explain how decisions are made — a recipe for unpredictable behavior. Dr. Kaplan argues that the industry must focus on embedding safety at the design phase, not patching it afterward. Sponsor for this episode At https://rise25.com, we help B2B businesses give to and connect to your Dream 200 relationships and partnerships. We help you cultivate amazing relationships in 2 ways: #1 Podcasting #2 Strategic Gifting #1 Our Predictable Podcast ROI Program We’re committed to helping you connect with your Dream 200 referral partners, clients, and strategic partners through our done-for-you podcast solution. We’re a professional podcast production agency that makes creating a podcast effortless. Since 2009, our proven system has helped thousands of B2B businesses build strong relationships with referral partners, clients, and audiences without doing the hard work. What do you need to start a podcast? When you use our proven system, all you need is an idea and a voice. We handle the strategy, production, and distribution — you just need to show up and talk. The Rise25 podcasting solution is designed to help you build a profitable podcast. This requires a specific strategy, and we’ve got that down pat. We focus on making sure you have a direct path to ROI — plus, our podcast production company takes any heavy lifting of production and distribution off your plate. We make distribution easy. We’ll distribute each episode across more than 11 unique channels, including iTunes, Spotify, and Amazon Podcasts. We’ll also create copy for each episode and promote your show across social media. Cofounders Dr. Jeremy Weisz and John Corcoran credit podcasting as being the best thing they have ever done for their businesses. Podcasting connected them with the founders/CEOs of P90x, Atari, Einstein Bagels, Mattel, Rx Bars, YPO, EO, Lending Tree, Freshdesk, and many more. The relationships you form through podcasting run deep. Jeremy and John became business partners through podcasting. They have even gone on family vacations and attended weddings of guests who have been on the podcast. #2 Our Comprehensive Corporate Gifting Program Elevate business relationships with customers, partners, staff, and prospects through gifting. At Rise25, thoughtful and consistent gifting is a key component of staying top of mind and helps build lasting business relationships. Our done-for-you corporate gifting service ensures that your referral partners, prospects, and clients receive personalized touchpoints that enhance your business gifting efforts and provide a refined executive gifting experience. Whether you’re looking to impress key stakeholders or boost client loyalty, our comprehensive approach makes it easy and affordable to create lasting impressions. Get started today and experience the difference a strategic gifting approach can make. You can learn more and watch a video on how it works here: https://rise25.com/giftprogram/ Contact us now at support@rise25.com or message us here: https://rise25.com/contact/

Craig Kaplan has been thinking about superintelligence longer than most. He bought the URL superintelligence.com back in 2006, and many years before that, in the late 1980s, he co-authored a series of papers with one of the founding fathers of AI, Herbert Simon. Craig started his career as a scientist with IBM, and later founded and ran a venture-backed company called PredictWallStreet that brought the wisdom of the crowd to Wall Street, and improved the performance of leading hedge funds. He sold that company in 2020, and now spends his time working out how to make the first superintelligence safe. As he puts it, he wants to reduce P(Doom) and increase P(Zoom). Selected follow-ups: • iQ Company (https://www.iqco.com/) • Superintelligence (https://www.superintelligence.com/) - by iQ Company • Herbert A. Simon (https://en.wikipedia.org/wiki/Herbert_A._Simon) - Wikipedia • Amara’s Law and Its Place in the Future of Tech (https://www.computer.org/publications/tech-news/trends/amaras-law-and-tech-future) - Pohan Lin • The Society of Mind (https://www.goodreads.com/book/show/326790.The_Society_of_Mind) - book by Marvin Minsky • AI 'godfather' Geoffrey Hinton warns of dangers as he quits Google (https://www.bbc.co.uk/news/world-us-canada-65452940) - BBC News • Statement on AI Risk (https://aistatement.com/) - Center for AI Safety • I’ve Spent My Life Measuring Risk. AI Rings Every One of My Alarm Bells (https://time.com/7297582/ai-safety-risks-paul-tudor-jones-essay/) - Paul Tudor Jones • Secrets of Software Quality: 40 Innovations from IBM (https://www.goodreads.com/book/show/3414433-secrets-of-software-quality) - book by Craig Kaplan • London Futurists Podcast episode featuring David Brin (https://londonfuturists.buzzsprout.com/2028982/episodes/12110231-presenting-gedanken-experiments-with-david-brin) • Reason in human affairs (https://www.goodreads.com/book/show/5302273-reason-in-human-affairs) - book by Herbert Simon • US and China will intervene to halt ‘suicide race’ of AGI (https://about.websummit.com/summary-service/us-and-china-will-intervene-to-halt-suicide-race-of-agi-max-tegmark-president-of-future-of-life-institute/) – Max Tegmark • If Anybody Builds It, Everyone Dies (https://ifanyonebuildsit.com/) - book by Eliezer Yudkowsky and Nate Soares • AGI-25 (https://agi-conf.org/2025/) - conference in Reykjavik • The First Global Brain Workshop (https://web.archive.org/web/20011102122046/http://pespmc1.vub.ac.be:80/Conf/GB-0.html) - Brussels 2001 • Center for Integrated Cognition (https://integratedcognition.ai/) • Paul S. Rosenbloom (https://sites.usc.edu/rosenbloom/) • Tatiana Shavrina, Meta (https://www.linkedin.com/in/tatiana-shavrina/) • Henry Minsky launches AI startup inspired by father’s MIT research (https://getcoai.com/news/henry-minsky-launches-ai-startup-inspired-by-fathers-mit-research/) Music: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration C-Suite Perspectives (http://csuiteperspectives.libsyn.com/website) Elevate how you lead with insight from today’s most influential executives. Listen on: Apple Podcasts (https://podcasts.apple.com/podcast/id1565427142)   Spotify (https://open.spotify.com/show/2Y7c9gtdZJqocXdak7MOY5?si=42e6e7df949241b9)

Investing in the AI Arms Race: Meta. Nvidia. Quantum. QQQ. What happens when a retired hedge fund manager who’s been researching AI since the 1980s joins me live to decode where capital, power, and cognition are heading? You get Dr. Craig Kaplan. And a no-fluff, high-IQ war room session for serious investors, technologists, and family offices playing the long game. We go deep on: • Meta’s AI scramble — Why Zuckerberg tried to recruit Ilya Sutskever, and what Meta’s 49% stake in Scale AI really signals • The AI talent wars — Elite engineers are now paid like pro athletes. Is that sustainable or a bubble? • Nvidia’s CUDA lock-in — Why no one has broken it, and why software dominance may matter more than silicon • QQQ vs SPY — Is QQQ now the only index that matters in an AI-dominated world? • Quantum and AI — Will quantum computing break the model race or accelerate it beyond control? • AI and energy geopolitics — Why Jensen Huang says “energy turns into intelligence” and why that matters • Claude vs GPT-4o vs Gemini vs LLaMA 3 — Who’s actually ahead, and why agents may eclipse models • The investor lens — What long-term allocators and next-gen founders should do right now This isn’t a hype session. It’s strategic clarity—delivered live. Wednesday at 4PM ET On @FamilyOffice Hosted by Angelo Robles If you care about AI, capital, and continuity—don’t miss this. #AI #Investing #Nvidia #Meta #GPT4o #Claude #Quantum #SFO #FamilyOffice #SovereignAI #KaplanLive #AngeloRobles

AI Agents Are Evolving, What Superintelligence Means for Family Offices I enjoyed interviewing Dr. Craig Kaplan, we discussed the latest AI advancements. With developments moving at breakneck speed, each month feels like a year in other industries. From Meta's advanced Movie Gen models to Tesla’s groundbreaking Robotaxi and Optimus humanoids, the future is arriving fast. Discover what these AI innovations mean for family offices, from investment opportunities to risk management and wealth preservation. Highlights: * What are AI Agents? As AI agents become more autonomous, how do you envision them transforming roles traditionally held by senior decision-makers in family offices, such as CEOs or CIOs? * Recursive self-improvement is a key concern with AGI. Once an AI reaches human-level intelligence, how quickly could it improve itself, and what are the risks for family offices if AGI gains an overwhelming advantage? * AI agents are expected to handle highly complex financial tasks independently. How should family offices prepare to transition from human-driven decisions to agent-driven decision-making? * How do you see AI agents evolving in wealth management? Could they fully replace human advisors and managers, or will there always be a need for human oversight? * How can singular entrepreneurs can create deca million dollar companies using AI Agents * With AI predicted to reshape industries like fusion energy and military defense, how should family offices adjust their risk models and future-proof their portfolios in these sectors? * Has your thesis changed regarding investing in Nvidia, Meta, Tesla, Alphabet and others? * How should family offices navigate the coming transition where superintelligent AI disrupts traditional markets, creating an environment where human strategies may become obsolete? * What does the concept of an ‘economic singularity’ imply for global wealth distribution, and how can family offices ensure they remain competitive in an AI-dominated economy? * Superintelligent AI could drastically shift global power dynamics, particularly in areas like energy and military. How do you see this shift playing out, and what strategies should family offices consider in response? * Meta’s "Movie Gen" generating high-quality media from text: a disruptor for Hollywood and beyond. * Tesla’s Robotaxi and Optimus humanoids: massive implications for tech-driven investments and family office portfolios. * Superintelligence—an AI that not only equals but far exceeds human intellectual capacities in every domain, from cognitive reasoning to creativity and emotional intelligence. * Such an entity would possess strategic thinking abilities that far outstrip our own, allowing it to predict and influence outcomes across economics, politics, science, and technology. * Utopia or dystopia AI Superintelligence and the future #familyoffice #familyofficetv #angelorobles #AI

How to Make Money Investing in AI Featuring: Dr. Craig Kaplan, CEO, IQ Company & Retired Hedge Fund Manager When it comes to investing successfully in AI, it helps to have AI expertise as well as experience in the stock market. Fortunately, our guest for this podcast has both. Dr. Craig Kaplan is CEO of iQ Company, a firm that has specialized in AI and intelligent systems since 1993. He also ran a hedge fund for many years. Since 2021, Kaplan has realized significant returns on his personal AI investments, trading only large public companies. Without providing investment advice, Kaplan will share how he evaluates AI investments and how he thinks about investing in the space. He will also share his thoughts on the future direction of AI and what that means not only for investors but for the future of humanity.   Some of the Topics we Cover include: • What is  AI and how has it changed over the years? • What is the market opportunity in AI for investors? • Can individual investors hope to compete with larger funds that have much more resources, analysts, and data about AI companies? • What are the advantages and disadvantages that an individual investor or family office might have compared to a large fund manager when it comes to AI investing? • Do you have a specific investment thesis about AI? • How do you evaluate AI companies for potential investment? • Can you provide some examples of past AI investments and why you made them? • Do you still own these investments?   • How do you think about how long to hold and when to exit? • How do you see AI evolving in the future?   • What do you see as the big AI investment opportunities now vs. later? • Many people are excited by the future potential of AI, others are fearful.  What’s you view? • Any takeaway messages that you want to leave us with regard to AI investing and the future of AI for humanity?   Summer 2024 for Members! We are very active this summer there is no ‘time off.’ Opportunities abound and some require the ability to act quickly. We are hosting exclusively this summer '10X Investment Ideas' forums both digital and in-person. Unstoppable Heirs Luncheons and this summer I will also unveil to members my new research and key best practices to improve any family office in 30-days. This summer we are rolling out our ’Survival of the Family Office’ programming series. A team of thought leaders and I will provide exceptional content and resources around competition for talent, what mergers like BDT-MSD and others mean (including PE flooding asset management and MFOs), scaling and leverage are all at play, yet I clearly see how single family offices can thrive! Click Below to join today! https://www.angelorobles.com/membership #familyoffice #angelorobles #sfocontinuity #familyofficetv

AI Trends and Predictions for the Future The field of AI is evolving so rapidly that is difficult for researchers in the field, not to mention investors and family offices, to keep up. Dr. Craig Kaplan has been researching AI and intelligent systems since the 1980s. He is also a retired Hedge Fund manager. In this segment, Kaplan provides an overview of the field of AI including the most recent developments including progress in the areas of Large Language Models, AI agents, Artificial General Intelligence (AGI), and Safe SuperIntelligence. Join us live only socials or through our webinar platform on Monday, July 15th @2pm et as we discuss how the field is changing, some recent acquisitions in the space, and what all this means for investors, and more broadly for humanity, in the future. Many industries got caught off guard by the rise of e-commerce, social media, and on-demand everything, such as music, movies, data processing, taxis, and food. AI will be much bigger * What are some the current challenges facing AI researchers? * What are some of the important recent developments in the field? * From an investing perspective, one of the most frequent questions I get is: “Is this an AI bubble? Is AI over-hyped?” What’s your response to these questions? * Can you talk a little about AI safety. What’s the current state and where do we need to go from here? * There have been calls to halt or pause AI development. Do you agree with that or is there a different approach? * We are beginning to hear about Artificial General Intelligence (AGI) in connection with new high profile acquisitions. For example, Amazon just acquired executives from the AGI startup, Adept and is forming an AGI group. Also, Microsoft acquired the AI company Inflection for $650m in March of this year. What is AGI? Do you have any comments on the acquisitions? * In June of this year, Ilya Sutskever – the brains behind OpenAI – left to start a new company around something called SuperIntelligence. Can you explain what SuperIntelligence is, and why we are hearing about it now? * What is the market opportunity associated with AGI and SuperIntelligence? * When do AI experts think SuperIntelligence will be developed? * I understand your company has also been working on designs for safe SuperIntelligence. What can you tell us about your approach? How is your approach different from what others are doing? * Which technology companies are best positioned to develop SuperIntelligence, according to the approach you outlined? * Are you open to working with these technology companies? * Can you summarize you thoughts about the future of AI over the next 3-5 years? What are some takeaways for investors and family offices? * As an investor I look to answer: How will an industry be disrupted by advances in AI? How soon could that happen? What are the risks and opportunities in that disruption? What am I missing? * For example investor Brad Jacobs writes in his book… I looked at doing a roll-up of accounting firms, but there’s a chance that accountants will be replaced by generative AI over the next decade. I could build up a big accounting business over the next few years and see it suddenly go into a black hole because people start using AI to close their books * Jacobs continues… I don’t think we’ll need a human insurance broker in ten years. Also, at some point in the not-too-distant future, I can see AI replacing much, if not most, of what paralegals and even lawyers do. Many jobs in journalism, advertising, and other communications are likely to become obsolete—and, ironically, AI also puts tech jobs at risk, including coding * At the same time, there’s a lot of money to be made by identifying industries that might benefit strongly from AI over the next 20 years; these include parts of the healthcare, retailing, homebuilding and manufacturing sectors * Will CEOs get replaced by AI? Every human function that can be broken down into rules, systematic processes, and logical decision-making based on historical results can be replaced Click Below to join us through my webinar platform on StreamYard #sfocontinuity #familyoffice #angelorobles #AI

Artificial General Intelligence - AGI - an AI system that’s as intelligent as an average human being in all the ways that human beings are usually intelligent. Helping us understand what it means and how we might get there is Craig A. Kaplan, founder of iQ Company, where he invents advanced intelligence systems. He also founded and ran PredictWallStreet, a financial services firm whose clients included NASDAQ, TD Ameritrade, Schwab, and other well-known financial institutions. In 2018, PredictWallStreet harnessed the collective intelligence of millions of retail investors to power a top 10 hedge fund performance, and we talk about it in this episode. Kaplan was a visiting professor in computer science at the University of California and earned master’s and doctoral degrees from famed robotics hub Carnegie Mellon University, where he co-authored research with the Nobel-Prize-winning economist and AI pioneer Dr. Herbert A. Simon. We talk about his work with Herb Simon, bounded rationality, connectionist vs symbolic architectures, jailbreaking large language models, collective intelligence architectures for AI, and a lot more! This and all episodes at: https://aiandyou.net/. #AI #AGI #CollectiveIntelligence #MachineLearning #superintelligence Websites: https://www.superintelligence.com/, https://www.iqstudios.net/, (video) and https://www.iqco.com (AGI consulting)