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For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this episode of The Tech Leader's Playbook, Avetis Antaplyan delivers a solo recap of the last five conversations on the show, connecting themes across AI, category creation, biotech, enterprise technology, and leadership psychology into one bigger narrative. Drawing on insights from guests including Dr. Craig Kaplan, Kevin Maney, Pranav Lal, and Alok Tayi from Vibe Bio, Avetis explores what it takes to build durable companies in a time of rapid technological change. He explains why AI is evolving from a simple productivity tool into an active collaborator, why great companies do not just chase product-market fit but redefine markets altogether, and why weak systems become even more exposed as technology accelerates. He also reflects on the power of mission-driven companies, sharing the compelling example of parents driven to solve rare disease challenges, and makes the case that culture, appreciation, and human connection remain essential competitive advantages. Throughout the episode, Avetis argues that while technology may be moving faster than ever, leadership, judgment, architecture, and mission still determine who wins. It is a thoughtful and practical synthesis for leaders trying to think clearly, build wisely, and lead well in an AI-shaped future.TakeawaysAI is shifting from a passive software tool to a more active collaborator that can support decisions and workflows.Speed without clarity creates expensive mistakes, especially when AI is introduced into critical workflows.Category-defining companies win by reshaping demand, not just by building slightly better products in existing markets.Founders should pay close attention to shifts in technology, consumer behavior, economics, regulation, and expectations to spot new opportunities.AI can accelerate execution, but it cannot fix poor architecture, messy data, or weak thinking.Scale does not only come from breadth; it can also come from going deep into a problem that truly matters.Strong cultures are built when appreciation flows in every direction, not just from the top down.The companies that win in the future will not just move faster with AI, they will think better, build better, and lead better.Chapters00:00 Intro and the Big Idea Behind the Last Five Episodes01:10 Technology Is Accelerating, but Fundamentals Still Win02:16 AI as a Collaborator, Not Just a Tool04:28 Why Great Companies Shape Demand and Create Categories06:54 Product-Market Fit vs. Building a New Market08:03 AI Amplifies Strong Foundations and Exposes Weak Ones09:12 Why Enterprise Readiness Still Depends on Architecture and Trust10:01 Mission-Driven Innovation and the Rare Disease Story11:34 Why Meaningful Problems Create Deeper Commitment12:12 People Still Matter More Than Systems13:00 Recognition vs. Appreciation in Leadership14:40 Building Cultures Where People Feel Valued16:17 The Big Lessons Across All Five Conversations17:10 Why the Future Belongs to Leaders Who Think Clearly18:20 Outro and Final Leadership ChallengeResources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright
For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Dr. Craig Kaplan, an AI pioneer, founder of IQ Company, and a four-decade veteran in artificial intelligence and collective intelligence systems, for a wide-ranging conversation on where AI is actually headed and why most people are still underestimating what is coming. Dr. Kaplan traces the history of AI from its roots in symbolic reasoning and machine learning to today's agentic systems, explaining why the shift from AI as a tool to AI as a worker is such a major turning point. He shares lessons from building PredictWallStreet, a collective intelligence platform that used signals from millions of retail investors to power a top-ranked hedge fund, and uses that story to argue that communities of agents may become more powerful than any single model. The discussion also dives into jobs, entrepreneurship, AI-driven productivity, superintelligence, and the growing risk of building powerful black-box systems without enough transparency or alignment. Perhaps most compellingly, Dr. Kaplan makes the case that the future of AI safety is not only in the hands of researchers, but in the behavior, values, and data humans feed these systems every day.TakeawaysAI 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.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 “bad” or inaccurate inputs can become valuable if they are consistent and can be weighted, filtered, or inverted intelligently.Entry-level cognitive work is already under pressure, while top performers and people with rare, non-commoditized knowledge still hold an edge, at least for now.AI safety becomes urgent because today's systems are often black boxes, making them powerful but hard to predict, govern, or reliably align with human values.Dr. Kaplan believes safer AI will come from more transparent, democratic, collective-intelligence-style architectures rather than monolithic black-box systems.Chapters00:00 Intro and why AI should be thought of as a worker, not just a tool01:29 Dr. Craig Kaplan's early path into AI and the field's history03:26 What people miss about the decades of groundwork behind today's AI boom05:05 The signals that show AI is entering a new phase07:02 Why agentic AI is so powerful for entrepreneurs and small teams08:24 The origin story behind PredictWallStreet and collective intelligence12:42 How crowd wisdom works, and how noise can still produce signal16:09 The long-term trajectory from narrow AI to AGI to superintelligence19:13 Why communities of agents may outperform any single model22:09 Jobs, competition, and what happens to human work as AI improves29:21 Why only exceptional human expertise may remain defensible34:00 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 roles42:30 AI safety, existential risk, and why black-box systems are dangerous47:13 A safer alternative: transparent, democratic, collective AI systems50:33 What ordinary people and business leaders can do right now54:29 The book and core idea that shaped Dr. Kaplan's thinking on reason and values57:12 Final message: if AI is our child, we need to teach it well58:50 Closing thoughts and outroCraig 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.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright
This and all episodes at: https://aiandyou.net/ . What if artificial superintelligence - ASI - could be made both more safe and more profitable? I'm talking with Craig Kaplan, who has the website superintelligence.com, about his concept of "democratic AI." Craig is CEO and founder of iQ Company, focused on AGI and ASI. He also founded and ran PredictWallStreet, a financial services firm which used AI to power a top hedge fund. Craig is a former 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. In part 2, we talk about rights of AIs, safe superintelligence, where AI gets its values, and how model vendors might be incentivized to put their products into the collective AI intelligence. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.
This and all episodes at: https://aiandyou.net/ . What if artificial superintelligence - ASI - could be made both more safe and more profitable? Returning to the show after a year is Craig Kaplan, talking about how "democratic AI" can do that. Craig, who has the website superintelligence.com, is CEO and founder of iQ Company, focused on AGI and ASI. He also founded and ran PredictWallStreet, a financial services firm which used AI to power a top hedge fund. Craig is 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 democratic AI, a kind of a hive mind of AIs that combine to work together safely, and how do they talk to each other, what are they made up of, and we'll also talk about systems for solving ethical problems. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.
Dr. Craig A. Kaplan 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. For the accessible version of the podcast, go to our Ziotag gallery.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 platformFollow @yourbrandamplified on the socialsTalk to my digital avatar Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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. 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. Drawing from decades in AI and software quality, he highlights how systems designed with human oversight, transparency, and collective intelligence can be both safer and more profitable, ensuring accountability while maintaining innovation's momentum. Tune in to this episode of the Smart Business Revolution Podcast as John Corcoran interviews Dr. Craig Kaplan, Founder and CEO of iQ Company, about designing safer and more transparent AI systems. They explore the flaws in current AI training, the promise of collective intelligence, and the urgent need for ethical frameworks. Dr. Kaplan also shares why smarter design (not slower development) is the path to both safety and progress.
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 CompanyHerbert A. Simon - WikipediaAmara's Law and Its Place in the Future of Tech - Pohan LinPredict Wall StreetThe Society of Mind - book by Marvin MinskyAI 'godfather' Geoffrey Hinton warns of dangers as he quits Google - BBC NewsStatement on AI Risk - Center for AI SafetyI've Spent My Life Measuring Risk. AI Rings Every One of My Alarm Bells - Paul Tudor JonesSecrets of Software Quality: 40 Innovations from IBM - book by Craig KaplanLondon Futurists Podcast episode featuring David BrinReason in human affairs - book by Herbert SimonUS and China will intervene to halt ‘suicide race' of AGI – Max TegmarkIf Anybody Builds It, Everyone Dies - book by Eliezer Yudkowsky and Nate SoaresAGI-25 - conference in ReykjavikThe First Global Brain Workshop - Brussels 2001Center for Integrated CognitionPaul S. RosenbloomTatiana Shavrina, MetaHenry Minsky launches AI startup inspired by father's MIT researchMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
In this insightful interview, Craig Kaplan from Zenlayer explores the transformative power of AI-powered edge solutions in emerging markets. Learn about the unique opportunities AI brings to revolutionize digital experiences in underserved regions like South America and Africa. Find out how AI and edge computing are reshaping industries such as gaming, fintech, and healthcare and more about the future of AI in edge computing.
Professor of Biological sciences, Craig Kaplan, calls in to talk about PITT losing another million in research funding.
Biology Professor at Pitt, Craig Kaplan calls in to talk about NIH
Craig Kaplan, Biology Professor at Pitt University calls in to talk about NIH funding
In this episode of Fundraising Radio, Craig Kaplan, Venture Partner at NextGen Venture Partners explains the importance of initial sales, explains how to speed up the process and how to make sure you don't get stuck in awfully long sales cycles which bankrupted many startups. And of course, we talked about the fundraising process - specifically for early stage startups. NextGen Venture Partners: https://nextgenvp.com/
Craig Kaplan is the creative mastermind behind Hashtag Multimedia. His uncanny ability to connect with people on a personal and professional level has translated into a long successful history of producing effective marketing strategies for high-profile clients in the greater Philadelphia area. Drawing from his considerable experience, Craig has developed a sixth sense for increasing brand awareness and negotiating endorsements. His passion for advertising has provided an inexhaustible energy for developing sound marketing and branding strategies for professional athletes creating successful charitable events and retail businesses. Listen to this candid and upbeat interview. www.hashtagmultimedia.com --- Send in a voice message: https://anchor.fm/aliveradio/message Support this podcast: https://anchor.fm/aliveradio/support
Hosting a referral-driving event in a big city can be intimidating. Traffic, parking, venue selection, competing events can all be barriers to hosting a successful event. On this episode of Referrals Podcast, we welcome Craig Kaplan and Marco Gomez and discuss why they hesitated to host and how they overcame it. http://www.referralspodcast.com
Episode: 44 Title: Big City, Big Impact Events Host: Michael J. Maher Guests: Craig Kaplan and Marco Gomez Description: Hosting a referral-driving event in a big city can be intimidating. Traffic, parking, venue selection, competing events can all be barriers to hosting a successful event. On this episode of Referrals Podcast, we welcome Craig Kaplan and Marco Gomez and discuss why they hesitated to host and how they overcame it. (7L) Referral Strategies and Podcast Topics: Special Offer: Visit: www.ReferralLibrary.com
Craig Kaplan discusses origami, tiling patterns and other areas of art where mathematics and computers have had a significant impact. The lecture, entitled Mathematical Art and Artistic Mathematicians, was deliverd at the Quantum to Cosmos Festival.
Craig Kaplan discusses origami, tiling patterns and other areas of art where mathematics and computers have had a significant impact. The lecture, entitled Mathematical Art and Artistic Mathematicians, was deliverd at the Quantum to Cosmos Festival.
Craig Kaplan discusses origami, tiling patterns and other areas of art where mathematics and computers have had a significant impact. The lecture, entitled Mathematical Art and Artistic Mathematicians, was deliverd at the Quantum to Cosmos Festival.