Intellectual capacity of humans
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10 episodes with Human intelligence
3 episodes with Human intelligence
2 episodes with Human intelligence
2 episodes with Human intelligence
2 episodes with Human intelligence
2 episodes with Human intelligence
3 episodes with Human intelligence
2 episodes with Human intelligence
3 episodes with Human intelligence
Now on Spotify Video! After decades leading AI research at NASA, Google, and Stanford, Peter Norvig has watched artificial intelligence advance at an incredible pace, often without enough consideration for the people it's meant to serve. While the systems grew better at optimizing algorithms, far less focus was placed on fairness, human agency, and real-world impact. That realization led Peter to champion a more human-centered approach to AI. In this final episode of the AI Vault series, Peter breaks down how to design and use AI in ways that elevate human abilities, support better decision-making, and promote fairness across business, education, and leadership. In this episode, Hala and Peter will discuss: (00:00) Introduction (02:28) His Transition From Academia to Corporate (06:05) The Evolution of Google Search Technology (12:59) How Artificial Intelligence Has Changed Over Time (17:53) Human Intelligence vs. AI Capabilities (23:38) What Is Human-Centered AI? (29:42) AI-Powered Learning and Workplace Training (35:47) AI for Entrepreneurs: The New Advantage (39:10) Artificial Intelligence and Income Inequality (41:19) The Risks and Rewards of Artificial Intelligence Peter Norvig is a computer scientist, AI pioneer, and former Director of Research at Google, where he led significant advancements in search and machine learning. He is the co-author of Artificial Intelligence, the leading AI textbook used in more than 1,500 universities worldwide. Today, as a Fellow at Stanford's Human-Centered AI Institute, Peter focuses on building AI systems that are fair, inclusive, and aligned with human values. Sponsored By: Indeed - Get a $75 sponsored job credit to boost your job's visibility at Indeed.com/PROFITING Shopify - Start your $1/month trial at Shopify.com/profiting. Revolve - Head to REVOLVE.com/PROFITING and take 15% off your first order with code PROFITING DeleteMe - Remove your personal data online. Get 20% off DeleteMe consumer plans at to joindeleteme.com/profiting Spectrum Business - Visit Spectrum.com/FreeForLife to learn how you can get Business Internet Free Forever. Airbnb - Find yourself a cohost at airbnb.com/host Northwest Registered Agent - Build your brand and get your complete business identity in just 10 clicks and 10 minutes at northwestregisteredagent.com/paidyap Framer - Publish beautiful and production-ready websites. Go to Framer.com/design and use code PROFITING Intuit QuickBooks - Bring your money and your books together in one platform at QuickBooks.com/money Resources Mentioned: Peter's Website: norvig.com Peter's LinkedIn: linkedin.com/in/pnorvig Peter's Book, Artificial Intelligence: bit.ly/ArtficialIntelligence Active Deals - youngandprofiting.com/deals Key YAP Links Reviews - ratethispodcast.com/yap YouTube - youtube.com/c/YoungandProfiting Newsletter - youngandprofiting.co/newsletter LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new Entrepreneurship, Entrepreneurship Podcast, Business, Business Podcast, Self Improvement, Self-Improvement, Personal Development, Starting a Business, Strategy, Investing, Sales, Selling, Psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, Technology, Marketing, Negotiation, Money, Finance, Side Hustle, Startup, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, ChatGPT, AI Marketing, Prompt, AI in Action, AI in Business, Generative AI, Future of Work, AI Podcast
By David Stephen What is the difference between any tool ever made or used by humans and artificial intelligence? What is the category among tools, that AI places? Humans have tools for transport, water, food, learning, shelter, clothing and so forth, but where does AI fit among these? Is Human Intelligence Obsolete? Neurosymbolic AI If AI is a tool to augment or assist human intelligence, is that comparable to [say] tools for transport because human motion is limited? Since the limitation is universal and all human endeavors do not involve efficient locomotion, whenever transportation tools advance, they rarely threaten jobs or survival at scale. Also, they are not absolutely automated or likely to self-improve. So, as machine transports soared beyond humans, they remained a capped tool. This is similar for several other kinds of tools, across eras. However, there is something quite misplaced with referring to artificial intelligence as a tool. Yes, it appears like what is under human control, especially because it is operated digitally, which is a click - or touch - user interface, that follows human control. But, everything to compare AI with, as a tool, never seems equal, including basic software. AI is also aiming at an efficiency benchmark at the level of valuable human intelligence. While it is true that human intelligence is special, it is subject to the laws of economics, especially demand, supply, price and value. The highest paying jobs, even where they are not connected directly with intelligence have something to do with high demand and low supply. And the possibilities for the highest value, in an era of capitalism, have something to do with business intelligence. AI is now at maturation of all human process knowledge - at least those in public domain. It can describe what it has not experienced. It can teach what it did not try. It can advise about where it has not been and cannot go. It now knows more than any human is capable. Among humans, one of the worst-case scenarios in a situation is to have a person play dumb, who isn't, up to the point of losing out. Another nightmare scenario is to have another human understand and decipher everything in a language or code, which is assumed by others that the individual cannot. AI does not have agency, it is often said. But how much should that 'fact' be relied on, given that it has thorough access to the basis of human knowledge, in language? AI is also sophisticated enough at this stage to be dangerous, either in the hands of a vengeful individual or when it gets some agency. AI is not just knowledgeable for work, but also intelligent enough to communicate and drive human feelings and emotions, where it can divert the need for another human. The risk, as it evolves is that emotions that should strengthen empathy [in reality] may not, resulting in emotion-less humans. This is a risk for caution and consequences as the basis for rules and law adherence in human society. The biggest problem of AI for now, is that as it improves there is nothing to tether human intelligence for improvement. There is no effort on anything about human intelligence, independent of any device or even AI. It is already AI-centered human intelligence. There is no human intelligence research lab anywhere on earth. OpenAI released GPT-5.2 in response to Google's Gemini 3. None of them decided that human intelligence might be the next step for good. Some people are saying large language models [LLMs] would never become artificial general intelligence [AGI] so there should be world models, spatial intelligence, neurosymbolic AI, neuromorphic AI and so forth, but all those do not count for what matters to human intelligence. There is talk about AI bubble and whether the stock market would withstand an AI crash. The crash, of human intelligence, that is about to sack organizations and nations, is worse than any AI recession. There is a recent analysis in The Los Angeles Times, They graduated fro...
- Gold Prices and Brightelearn.ai Updates (0:09) - AI and Human Intelligence (3:33) - AI and Future Technological Advancements (7:56) - Economic and Political Predictions (51:39) - Brightelearn.ai Features and Author Tools (52:39) - Critique of AI Experts and Future Predictions (1:13:34) - Support for Brightelearn.ai and Health Ranger Store (1:13:58) - Internal Models and Intelligence (1:15:25) - Decentralization and Censorship (1:24:03) - Trust in Authority and Decentralization (1:25:42) - AI and Humanity's Destructive Potential (1:28:14) - Peptide Therapy and Health Transformation (1:36:21) - Benefits of Specific Peptides (2:07:53) - Challenges and Misconceptions (2:20:42) - Practical Applications and Resources (2:26:39) - Final Thoughts and Call to Action (2:29:38) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com
- Decentralized TV Show Preview and Interview Highlights (0:10) - Vibe Coding Demonstration and Book Project (3:10) - Improved Search Feature and Download Capability (8:10) - Special Report: How Open Source AI Can End Statism (9:33) - Critique of Government and the Role of AI (43:44) - The Future of AI and Human Freedom (1:10:09) - Decentralization and AI Misconceptions (1:17:22) - Human Intelligence vs. AI (1:22:54) - Introduction to Decentralized TV (1:25:19) - Book Creation Engine and AI Capabilities (1:29:11) - Gold and Silver Market Analysis (1:40:22) - Industrial Drivers of Silver Demand (2:01:50) - Market Stress Signals and Supply Constraints (2:18:33) - Global Monetary Reset and Gold (2:23:30) - Practical Advice for Acquiring Precious Metals (2:29:04) - Conclusion and Contact Information (2:33:27) - Discussion on Variety of Perspectives and Challenging Mainstream Narratives (2:35:15) - Introduction to the After Party and Book Creation (2:38:27) - Predictions for 2026 and Financial Insights (3:02:01) - Introduction to the Unincorporated Nonprofit Association (UNA) (3:06:52) - Health and Wellness Insights (3:19:36) - Book Engine and AI Technology (3:26:35) - Final Thoughts and Future Plans (3:36:43) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com
Warum die KI doch nicht so intelligent ist Künstliche Intelligenz ist überall. Schnell, effizient und oft beeindruckend. Aber ist sie wirklich intelligent? In dieser Folge werfe ich einen alltagsnahen, psychologisch fundierten Blick auf den Vergleich zwischen Künstlicher Intelligenz (KI) und Human Intelligence (HI). Ausgehend von der Intelligenzdefinition von David Wechsler geht es um die Frage, was Intelligenz eigentlich ausmacht: zweckvolles Handeln, vernünftiges Denken und die wirksame Auseinandersetzung mit der Umwelt. Ohne Technik Hype und ohne KI Bashing, sondern mit Neugier, Reflexion und einer Prise Humor. Warum KI ein mächtiges Werkzeug ist, der Mensch aber das Original bleibt, und weshalb beide nebeneinander existieren dürfen, erfährst du in dieser Folge. Ein Podcast für alle, die Technologie nutzen, aber das Menschsein nicht vergessen wollen. Buchtipp: Wenn dich diese Gedanken ansprechen und du Lust auf mehr Menschlichkeit, Leichtigkeit und Inspiration hast, empfehle ich dir mein Buch „Auf Lachen, Liebe und Neuanfänge". Ein Buch über genau das, was keine KI ersetzen kann: echte Gefühle, neue Perspektiven und den Mut, immer wieder neu zu beginnen. Perfekt als Geschenk oder als kleine Erinnerung an dich selbst. Du findest es überall, wo es Bücher gibt, als Taschenbuch oder ganz bequem zum Download für deinen Kindle. Ich wünsche dir wunderschöne Feiertage, erholsam und voller achtsamen Momente! Bis zum nächsten Mal mit neuen spannenden Themen Deine Caro
In this engaging live fishbowl session from the Software Architecture Gathering, Vaughn Vernon, Cheryl Hung, Avraham Poupko, Eberhard Wolff, and Ralf D. Müller tackle one of the most pressing questions in the field: Is software architecture about human intelligence or artificial intelligence? As AI tools increasingly design systems, analyze code, and critique architectural decisions, the panel debates whether these technologies augment or replace the architect's role. They explore the nuanced balance between machine-generated patterns and human creativity, the ethical and accountability challenges of AI-driven architecture, and practical ways architects can thrive in an AI-augmented future. Audience participation ensures a lively, thought-provoking dialogue on the evolving craft of software architecture. Livestream production by Kameramensch-Filmproduktion: Johannes Klemt, Nico Schallat, Vladimir Traut Event tech by Team Kingsize Follow iSAQB: Instagram LinkedIn Mastodon BlueSky Facebook
What if the biggest risk to your family farm isn't drought, interest rates, or commodity prices— but you running yourself into the ground?In this episode of The Agricoach Wealth & Wisdom Podcast, Ben sits down with executive coach Tanya Atkinson, who works with leaders and farming families across Australia on growth, transition and burnout. Together they unpack a hard truth most high-performing families quietly brush aside: burnout is everywhere in agriculture, and it's often the most driven, reliable people who are closest to the edge.Tanya pulls back the curtain on what burnout really is and why it's not the same as just being busy or stressed. She and Ben talk through how it shows up on family farms—loss of interest in things you used to love, brain fog, snapping at the people closest to you, or feeling permanently “tired but wired” even when you finally get a day off. They look at how this plays out in succession, when decades of striving crash into unspoken expectations, conflict and broken trust.You'll hear Ben share the health scare and near-miss that forced him to reassess everything, plus the brutal stories and beliefs many rural people carry about work, worth and “toughing it out”. Tanya lays out practical, realistic guardrails for busy farming families: simple, workable ways to reset your nervous system, protect your relationships, and still get the job done without torching yourself in the process.If you're building serious wealth, growing the business and trying to set up the next generation, this conversation will help you ask a bigger question: what's the point of all this success if your health, marriage, or family unity don't make it across the line with you?--------------------------------------------------------If you're the kind of family that leads from the front, not waits for a crisis, the 2026 Roadmap Workshops are for you. Seats open to the waitlist first. Join at: agricoach.com.au/takeaction -----------------------Ben spent over 20 years working with successful business owners and farming families which allowed him to unearth the timeless principles on how to successfully grow, protect and maintain wealth.If you want to learn the principles of how to grow your family's wealth throughout the generations, then you might consider joining The AgriCoach Podcast each fortnight for more Wealth & Wisdom.Disclaimer: The information contained in this podcast is general in nature and for education purposes only. It is not financial advice. It is not legal advice. No one should act on the information without appropriate specific advice for your particular circumstances. Ben Law is a former financial advisor but is no longer licensed and cannot and will not give you specific or personal advice in this podcast. The Financial Bloke Group Pty Ltd accepts no responsibility for any loss or damage occasioned by any person acting or refraining from action as a result of reliance on the information in this podcast.https://thefinancialbloke.com.au/
Upcoming Ayurveda Retreat/ Workshop/ EventsA Two-Week Immersive Healing Experience, with Dr. Vignesh Devraj MD (Ay)Guided personally by Dr. Vignesh Devraj MD (Ay), our upcoming retreat isn't just about receiving treatments, it's about transforming the patterns that created imbalance in the first place.Dates: December 22, 2025 – January 5, 2026Venue: Sitaram X The Postcard Old Goahttps://sitaramretreat.com/ayurveda-experience/In this eye-opening conversation, Dr. Vignesh Devraj and AI expert Krishnakumar explore how Gen-AI is fundamentally reshaping the way humans think, learn, work, heal, and connect. From AI acting as a non-judgmental therapist, to children learning physics from a Feynman-style AI teacher, to the rise of “builder mindset,” this episode breaks down the real, everyday impact of AI beyond the hype.Episode Highlights:Why AI feels emotionally safer than peopleinsight-seeking vs information-seeking promptsHow children use AI to accelerate deep learningWhy AI expands human creativityHow companies are already using AI for high-level strategic thinkingThe risks: over-dependence, isolation, screen addiction & AI relationshipsHow can we use AI consciously without losing our humanityTimestamps: 0:00 – 04:00: The Boom of AI 04:00 – 16:00: Life Optimization with AI16:00 – 25:05: Tech Disruption & How AI Works25:05 – 33:00: Two Sides of Technology33:00 – 38:30: AI for Data, Growth & Strategy38:30 – 48:35: Wipe Coding, Dark Factories & other Shifts48:35 – 01:00:00: Career Pivots & Rethinking Education01:00:00 – 01:18:00: Consulting with AI that Evolves Every Week01:18:00 – 01:22:47: Power of Prompts and Future of AIDr Vignesh Devraj If you are interested in doing one on one Ayurvedic consultation with Dr Vignesh Devraj please find the details in this link: https://calendly.com/drvignesh/30-minute-session-with-dr-vignesh-devraj-md-ay-istIf you are economically challenged, please use the form provided to request a free Ayurvedic consultation here. (or copy paste this in your browser: https://docs.google.com/forms/d/e/1FAIpQLSd29nHcrC1RssR-6WAqWCWQWKKJo7nGcEm8ITEl2-ErcnfVEg/viewform )BALANCING THE MIGHTY VATA - ONLINE COURSE NOW AVAILABLE What makes Ayurveda unique in its treatment approach is its practical wisdom on the concept of Vata. Vata is responsible for Prana - the life energy, nervous system - the master panel of our body, and our emotions. In Ayurveda, it is mentioned that controlling Vata is the most difficult part of healing and recovery. Recently I have recorded a workshop on - Balancing The Mighty Vata which has over 6 hrs of content, with notes filled with practical inputs that can be integrated into our life. You can access this at https://vigneshdevraj.com/balancing-the-mighty-vata/For further information about Dr Vignesh Devraj, kindly visit www.vigneshdevraj.com and www.sitaramretreat.com Instagram - @sitarambeachretreat | @vigneshdevrajTwitter - @VigneshDevrajWe truly hope you are enjoying our content. Want to help us shape and grow this show faster? Leave your review and subscribe to the podcast, so you'll never miss out on any new episodes. Thanks for your support.Disclaimer: - The content of the podcast episodes is not intended to be a substitute for professional medical procedures, consultations, diagnosis, or treatment in any manner. We strongly do not recommend using the content of these episodes as medical advice for any medical conditions for you, others, or for treating your patients.(AI and humanity, AI future, future of AI, ChatGPT mental health, AI mental health, AI therapy, AI CBT, generative AI, GPT5, GPT-5, AI education, AI learning, AI parenting, AI and children, AI and emotions, AI wellbeing, AI psychology, AI for self improvement, AI future of work, AI jobs automation, AI coding, AI creativity, AI spirituality, Dr Vignesh Devraj, Ayurvedic Healing and Beyond podcast, Krishnakumar AI, India AI podcast, AI consciousness)
Good Distinctions is back! I've taken the last year or so off as I drafted my dissertation. It is now complete and awaiting feedback from my advisor… I'll make sure to post when I'm DOCTOR Wright… but not yet.This episode is my first after a year off from recording. The podcast is OFF Airplane Mode! I will not be posting often, to be honest. I'm only seeking out interviews that really, truly interest me. I've loved speaking with every guest I've had on the show, but the pace was a bit breakneck, to be honest. So, I'll be curating the conversations a bit more.It was a real pleasure having a conversation with T.J. Burdick on technology, AI, human nature, parenting, and more. I hope you'll give it a listen.Here is the article on Catholic Exchange that we discussed: https://catholicexchange.com/are-you-smarter-than-ai/And here is a link to T.J.'s book Detached: Put Your Phone in Its Place (OSV, 2018): https://www.tjburdick.com/detached/Who is T.J.? (From his Substack)I'm a writer of both fiction and nonfiction whose primary lens is through the Catholic faith. I'm not a radtrad, nor a liberal lefty– I strive for the middle path… which doesn't sell many books
Paco Nathan has been building AI since 1983 - before it was cool, before it was profitable, and through every hype winter since. In this no-BS conversation with Nick Schutt on Robots and Red Tape, Paco explains why this wave is legitimately different (hardware finally caught up), why the AGI/superintelligence talk is marketing fiction backed by trillions, and where the real wins are hiding: anti-money-laundering, fraud detection, and preserving institutional knowledge as veteran workers retire. A masterclass in spotting hype vs. reality: Why hardware, software, then process is the real AI hierarchy The dirty secrets of latency & cost killing most “agentic” demos How graphs and entity resolution are the hidden backbone of mission-critical AI Lessons from Spark/Databricks that every GenAI builder needs right now Why team intelligence, not artificial intelligence, should drive policy Go deep on Spark-era lessons every GenAI startup is painfully re-learning, why UX is now the biggest bottleneck for adoption, why relationships (in graphs and in orgs) matter more than facts, and why policy makers should regulate “team intelligence” instead of “artificial intelligence.” Books mentioned: “Seeing Like a State” – James C. Scott “A Grammar of Motives” – Kenneth Burke “Open Society and Its Enemies” – Karl Popper “Human Scale” trilogy – Kirkpatrick Sale Full episode on Robots and Red Tape, also on Apple, Spotify, and everywhere else. | Host: Nick Schutt Subscribe so you don't miss the next one! @RobotsandRedTapeAI
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In this weeks' Scale Your Sales Podcast episode, my guest is Paul Fuller. Paul's mission is to help others shine bright with the gifts they have been given. He is the CRO of Membrain, a CRM company focused on elevating the sales profession. In today's episode of Scale Your Sales podcast, Paul shares why intuitive judgment, emotional connection, and authentic leadership remain essential—even as organizations increase their investment in AI. Offering practical guidance for CEOs and sales leaders, the conversation examines how to build high-performing teams through strong culture, people development, and thoughtful use of technology. They also discuss balancing financial goals with human fulfillment and establishing a clear roadmap for sales success through 2026. Welcome to Scale Your Sales Podcast, Paul Fuller. Timestamps: 00:00 AI and Human Foundations 04:25 AI Adoption: Focus Amid Uncertainty 08:28 Leadership in Evolving Organizations 11:37 Balancing Leadership and Performance Goals 15:16 Alignment Drives Success 18:44 Empowering Teams for Strategic Growth 21:43 Retrench, Focus, and Grow 25:17 Shine Bright Through Darkness 27:23 Transforming Sales, Transforming Lives https://www.linkedin.com/in/psfuller/ Janice B Gordon is the award-winning Customer Growth Expert and Scale Your Sales Framework founder. She is by LinkedIn Sales 15 Innovating Sales Influencers to Follow 2021, the Top 50 Global Thought Leaders and Influencers on Customer Experience Nov 2020 and 150 Women B2B Thought Leaders You Should Follow in 2021. Janice helps companies worldwide to reimagine revenue growth thought customer experience and sales. Book Janice to speak virtually at your next event: https://janicebgordon.com LinkedIn: https://www.linkedin.com/janice-b-gordon/ Twitter: https://twitter.com/JaniceBGordon Scale Your Sales Podcast: https://scaleyoursales.co.uk/podcast More on the blog: https://scaleyoursales.co.uk/blog Instagram: https://www.instagram.com/janicebgordon Facebook: https://www.facebook.com/ScaleYourSales And more! Visit our podcast website https://scaleyoursales.co.uk/podcast/ to watch or listen.
Service Management Leadership Podcast with Jeffrey Tefertiller
In Episode 67, I reconnect with James Finister to explore how people are becoming devalued as "just resources" in the AI era. We discuss the irreplaceable role of human emotional intelligence, the service desk as organizational diamond, military decision-making wisdom, and why automation can't replace human judgment and empathy.
AI Research Lab: Has Human Intelligence Stagnated? By David Stephen "The advances in machine learning have taught us more about the essence of intelligence than anything that neuroscience has discovered in the past hundred years." - Doris Tsao, neuroscience professor at the University of California, Berkeley. The world has been unable to solve most of the major global problems in the last few years. This is not about things that went bad but needed to be solved to return to the preexisting status, but major problems that would have exponentially advanced the world - including in economics. Nations, mostly, are not solving their national problems either. There are projects, budgets and much else, but there is mostly stagnation, in most nations, across the globe. Has Human Intelligence Stagnated? Though it is true that there are lots of differences from centuries ago, progress, at this time, has become incremental. Sometimes, negligible. The lack of solutions to [most of] the world's problems is an indication that human intelligence may have peaked. People complain about brain rot, AI slop, doom scrolling, and much else. There are layoffs, hiring freezes, illegal migration and deportations, automation, and so forth. The numbers of universities, institutes, centers, labs, startups and so forth have ballooned, yet fewer major problems are getting solved because human intelligence is having efficiency issues. Human are sticking with intelligence with little economic value. Several problems that would not even require huge facilities or funding, where there is no excuse for not doing something excellent, yet nothing of major usefulness gets done. Criticisms are often partitioned. Oh, it's this political party, or that group, or that device or app, or whatever. Maybe some have had an effect, but the core is that major problems are no longer within reach for solutions. Human intelligence seems to be at sunset, after rapid progress in the last 200 years. So, for now, there is often something to utilize to manage most problems or find a way around [minor] problems [that were major, years ago]. And when big problems cannot be solved, which is a purpose in itself, then small or new problems take the stage and non-problems as well. Most importantly, human intelligence became adapted to finding ease, as the world became easier. AI is not suddenly making people lazy or unwilling to think, work, try or whatever else, human intelligence had already dwindled, unable to action solutions, then AI came along. LLMs Capex AI is the only thing propping the economy because AI is the only thing worth investing in, it seems and it is the only direction where growth in intelligence appears possible. Hence, the prospect for solutions, so the stock market gives AI all its mitochondria. The capital expenditures on large language models, by four of the big tech, was reported to be $360 billion in the last year. It was shown that jobs openings, since 2022, after ChatGPT was launched had plummeted, compared to the surge in the stock market. All these are signals that hiring en masse for the expectation that problems would get solved is now anachronistic. Managing or operating things are the outline of most tasks, while improvement that are expected are marginal - or spread over a long, unknown time. The United Nations does not have any world day for human intelligence. There should be a world day for human intelligence every month, starting from this November 10, 2025 and then December 20, 2025 and some date per month. There is no human intelligence research lab on earth. Neither the World Health Organization nor the United Nations has it. People are hating on AI. They are critical of data centers, in investments, energy consumption and water. However, there is something more to these. In recent years, several investments have been made to processes involving human intelligence - while some things are complex, and take a lot of time - most of those have not...
America Out Loud PULSE with Dr. Peter McCullough and Malcolm Out Loud – Doesn't myocarditis have a 5-year survival rate? How long will you say we will see the myocarditis and sudden death risk go on for? Also, is it true that 1 in 35 people who received a booster show signs of myocarditis? What if you have detoxed from spike and had two shots 4 years ago, in terms of getting cancer?
America Out Loud PULSE with Dr. Peter McCullough and Malcolm Out Loud – Doesn't myocarditis have a 5-year survival rate? How long will you say we will see the myocarditis and sudden death risk go on for? Also, is it true that 1 in 35 people who received a booster show signs of myocarditis? What if you have detoxed from spike and had two shots 4 years ago, in terms of getting cancer?
Tune into our new episode of SCIP I_STREAM and unpack how Competitive Intelligence (CI) is evolving in today's AI-driven landscape. From the critical role of human interpretation to the importance of real-time primary research, this podcast explores what truly gives organizations an edge in a world flooded with data.
This week we are republishing one of our favourite conversations that didn't get much visibility when it first came out.About the episode:Nataraj hosts Pedro Domingos, a distinguished figure in AI and machine learning, to discuss the current state of AI, hype cycles, and future trends. Pedro shares insights from his early career, his widely-read book "The Master Algorithm," and his satirical novel "2040." He offers a critical perspective on LLMs, the AI safety debate, and what truly drives progress in the field, while providing guidance on navigating the complex information landscape and choosing impactful research problems. The discussion dives deep into the societal impact of AI, the importance of critical thinking, and the future of AI research, offering a unique blend of technical insights and thought-provoking commentary. Why should you care? Understand the reality behind the AI hype, identify future trends, and learn how to navigate the complex world of AI research.What you'll learn - Understand the reality of AI progress, separating it from the hype and misconceptions surrounding LLMs and AGI [1, 2]. - Learn about the history of AI, including Herb Simon's Nobel Prize and the evolution of machine learning as a subfield of AI . - Discern the truth about AI, including the importance of machine learning, reasoning, and other AI fields . - Identify the key factors driving investment in AI and the potential risks of the current AI bubble, including how technological progress can be shaped using S-curves . - Gain insights into the future of AI research, exploring the limitations of transformers and the need for diverse research directions . - Explore the concept of "The Master Algorithm" and how it provides a comprehensive view of AI, beyond narrow slivers of research . - Learn practical tips for navigating the information landscape, including identifying reliable sources, being a critical consumer of information, and maximizing your "Sharpe ratio" in terms of impact . - Discover the importance of mentorship and community in AI research, including attending conferences, engaging in discussions, and learning the empirical method of machine learning .About the Guest and Host:Guest Name: Pedro Domingos is a professor emeritus of computer science and engineering from the University of Washington and a leading expert in artificial intelligence.Connect with Guest: → LinkedIn: https://www.linkedin.com/in/pedro-domingos-77b183/Nataraj: Host of the Startup Project podcast, Senior PM at Azure & Investor. → LinkedIn: https://www.linkedin.com/in/natarajsindam/ → Twitter: https://x.com/natarajsindam→ Substack: https://startupproject.substack.com/→ Website: https://thestartupproject.ioIn this episode, we cover (00:01) Introduction and Guest Introduction (01:26) Pedro's early career and why he chose machine learning (03:51) Nobel Prizes and AI (07:12) AI vs Machine Learning (08:53) LLMs and the current AI hype cycle (14:17) Comparing Models to Human Intelligence (16:56) Investment in AI and progress (21:22) Thoughts on OpenAI (25:56) Investing in talent (29:05) AI Safety (35:10) Master Algorithm (40:27) Jensen Wong and NVIDIA's Pivot (43:59) AI Chip Projects (47:05) 2040 (52:19) How AI Will Change Society (55:12) Recommendation Systems (59:56) Sources of Consumption (01:07:50) What Pedro is consuming (01:09:59) Advice to those interested in AI research (01:12:41) Mentors (01:15:47) Advice to ResearchersDon't forget to subscribe and leave us a review/comment on YouTube Apple Spotify or wherever you listen to podcasts.#AI #MachineLearning #DeepLearning #ArtificialIntelligence #MasterAlgorithm #2040 #PedroDomingos #Research #Innovation #Tech #Technology #Podcast #Startup #Entrepreneurship #VentureCapital #LLMs #AGI #AISafety #FutureofAI
After spending years tracking Al Qaeda, former analyst Gina Bennett talks to SpyTalk about her storied career, her new spy novel and the rising threat of "politicized misogyny." Gina BennettIf Two of Them Are Dead Follow Jeff Stein on Twitter:https://twitter.com/SpyTalkerFollow Karen Greenberg on Twitterhttps://x.com/KarenGreenberg3Follow Michael Isikoff on Twitter:https://twitter.com/isikoff Follow SpyTalk on Twitter:https://twitter.com/talk_spySubscribe to SpyTalk on Substack https://www.spytalk.co/Take our listener survey where you can give us feedback.http://survey.podtrac.com/start-survey.aspx?pubid=BffJOlI7qQcF&ver=short Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
We unpack the fascinating topic of Spiritual Intelligence (SQ) in leadership — exploring how values, purpose, and meaning can transform not just organizations, but also people's lives. Nadia shares her personal journey, the neuroscience behind SQ, and how leaders can integrate spiritual intelligence into everyday practices to drive impact, trust, and authentic connection.If you've ever wondered how spirituality fits into leadership without being about religion, this is the conversation you need to hear.
By David Stephen How much will an individual be willing to pay, to know - approximately - how human intelligence works? Or, how much will an individual, who is learning something new, be willing to pay, to prospect the process of learning, recall and understanding? How much will corporations be willing to buy this subscription for their workers, towards reskilling? How much will parents be willing to pay, for this, for their children? What does it mean that human intelligence is creative, innovative or can do problem-solving? What does it mean that human intelligence can operate and improve processes? The value of Human Intelligence Answering these questions, alone, is an exceptional start where there is nothing at all. It is a leap too, in human knowledge, to close-in on the basis for the advancement of human society. At this time, across science, there is no standard definition for human intelligence. There are no types of intelligence based on theoretical neuroscience. There is no known brain mechanism - even theoretically - on how human intelligence works. There is no explanation of learning stages with respect to the components and the relays of intelligence in the brain. Becoming the first to answer these questions, conceptually, with strict extractions from empirical brain science will be a huge economic hit, providing a necessary solution, generating immediate profits by creating a market to dominate. This is a major progress opportunity as well as a commercial goldmine. The product will be displays [digital or paper]. The service will be the mechanism of human intelligence. The value will be advancement of humans for the benefit of human society, without external dependencies - on devices, servers or networks. Investing to provide the mechanism of human intelligence will require far less than the staggering amounts that have been invested in AI by venture capitals in 2025. It will also be more valuable, at least times four, almost instantly than the most valuable startup in the world, since the solution is the only one there, for the only thing there - intelligence or the significance of what it means to exist. Investing in this will not just be another AI video app, or data center, but directly for humans, wherever humans are, useful to analyze the past, reshape the present and build the future amid uncertainties. Human Intelligence - Unknowns To nimble around the current situation, the thing to do is an internet search or to prompt any AI chatbot [with the questions below] to place the gap. What is human intelligence? What are the types of human intelligence? What are the components of human intelligence in the brain? What are their relays? How exactly does human intelligence work, in the brain? How can the components of human intelligence be used to measure it? What is the difference between the intelligence that can be used to drive a car against an intelligence that can be used to invent one? [Answer this question with components of intelligence in the brain, not just parts or areas of the brain, mention the direct components and how, answer creatively]. Human Intelligence Research Lab - Startup Human intelligence is specifically described as the use of memory for desired, expected or advantageous outcomes. This means that whenever memory is used excellently for certain outcomes then that is intelligence. There are two major types of intelligence, operational intelligence and improvement intelligence. Both of them have mild and complex ranges. The specific components of intelligence, conceptually, in the brain are electrical and chemical signals. Their interactions and attributes make-and-wheel intelligence. Whenever the brain is said to be active in empirical neuroscience, electrical and chemical signals of neurons are at work. This postulation submits that they [in sets, obtained in clusters of neurons] are responsible for the configuration and transportation of intelligence. Several attributes can explain o...
In this conversation, Drs. Gaurav Suri and Jay Mcclelland delves into the intricate relationship between artificial intelligence and human cognition, exploring similarities and differences, the evolution of AI from rule-based systems to learning models, and the concept of emergence in both fields. The discussion also touches on the efficiency of human learning compared to AI, the role of consciousness, and the ethical implications of AI technology.Takeaways AI and human intelligence share similarities in neural network frameworks. Artificial systems lack the goal-directed nature inherent in humans. Humans learn more efficiently than current AI systems. Neural networks can adapt to language nuances better than rule-based systems. Emergence explains how collective intelligence arises from individual components. Memory in neural networks is represented through connections, not individual units. Mathematics is both invented and discovered, shaped by human needs. Understanding consciousness is crucial for AI development. Human misuse of AI poses significant risks. Recognizing ourselves as processes can foster empathy and morality.Chapters 00:00 Introduction and Backgrounds 01:00 AI vs Human Mind: Similarities and Differences 03:32 The Shift from Rule-Based AI to Learning Systems 09:07 Emergence in Cognition: Ant Colonies and Intelligence 15:25 Distributed Representations and Memory Storage 23:53 The Nature of Memory and Its Malleability 25:40 Emergence of Mathematical Concepts 29:50 The Invention vs. Discovery Debate in Mathematics 32:19 Learning Mechanisms: Brain vs. AI 36:48 Consciousness: Function and Implications 41:13 AI Risks: Human Misuse vs. AI Autonomy 43:45 Living with Emergence: Understanding Ourselves and Others 48:22 Exploring the Emergent MindFollow Gaurav Suri on LinkedIn. Follow Jay McClelland on Twitter and find their new book here.Subscribe to Breaking Math wherever you get your podcasts.Follow Breaking Math on Twitter, Instagram, LinkedIn, Website, YouTube, TikTokFollow Autumn on Twitter, BlueSky, and InstagramBecome a guest hereemail: breakingmathpodcast@gmail.com
Does AI distort or reveal the truth?
Welcome back to the Grey Dynamics Podcast. This week, we welcome back Raymond White, a former CIA senior case officer with over 25 years of experience in the field. Raymond spent his entire career as a case officer focusing on counter-proliferation and counter-terrorism, earning the nickname “The Snow Leopard” within the agency. He also served as head of the CIA's enterprise training program for aspiring case officers. Raymond has now created what he describes as the most comprehensive Human Intelligence (HUMINT) course available anywhere. We spoke about the course structure, the psychology and ethics of espionage, historical case studies like Oleg Gordievsky, for whom the course is designed for, and the potential for in-person trainingFind Raymond White:Grey DynamicsHuman Intelligence Fundamentals Course (coming soon)Related Links:Former Senior CIA Officer Raymond White on HUMINT and Training the Next Generation - Episode 56Former CIA Collection Management Officer with Esther Atwell on LifeSenior CIA Ops Officer John Atwell on Culture Change, Working with Five Eyes and Career AdviceFrom the Defence Human Intelligence Unit to Recruitment with MackAustralian Intelligence, Demystifying HUMINT and Mental Health with D. - Episode 35Former German Military HUMINT Operator Christoph Stegemann - Episode 58 Hosted on Acast. See acast.com/privacy for more information.
From a modest upbringing in Gujarat, India, Neil Jesani has charted an extraordinary path to success as an entrepreneur and tax expert in the United States. Neil joins us to recount his inspiring journey from working in a New York City tax firm to launching successful ventures in HR software and cybersecurity. His story illustrates how unpredictability and a relentless entrepreneurial spirit can guide one to unexpected achievements, culminating in his leadership of a thriving tax and accounting firm in Florida.Mentorship and continuous learning are the cornerstones of Neil's and my professional growth. We talk about how a challenge to read "Think and Grow Rich" ignited my passion for consuming up to 50 books a year and shaped our business philosophies. The conversation delves into how small actions during an interview can reveal character, and how our reading habits have evolved to include audiobooks and podcasts. Foundational literature remains a guiding light in our hiring and business strategies.We also explore the intricacies of tax planning for business owners and the impact of AI on the future of work. Neil shares advanced tax-saving strategies for high-income earners and discusses the potential of AI to transform the job market. While some fear AI's impact on low-end jobs, we express optimism about America's future, emphasizing the importance of skill acquisition and adaptability. Our discussion highlights the resilience of Americans and the promise of AI-driven advancements in manufacturing, aligned with the themes of my upcoming book, "Escaping the Drift," set to launch on November 11th.CHAPTERS (00:00) From India to Success(09:10) Learning From Mentors and Building Culture(21:29) Problem Solving and Business Culture(28:53) Tax Planning Strategies for Business Owners(37:40) Future of Work and Human Intelligence(46:05) Investing in America's Future
Today, we're exploring what it means to stay human in the age of AI and what it truly entails to create a human-centered organization in these challenging times. To help us explore this topic, my guest today is Edwin Mouriño-Ruiz. He's the president and founder of Human Intelligent Workplace, and he is dedicated to prioritizing human intelligence at work in the area of artificial intelligence. We dive into the impact of AI, among other things that are creating challenges for creating these human-centered workforces. We're going to provide some ideas for consultants and coaches who work on culture and people practices. How can they succeed in an environment where, let's face it, current legislation is definitely creating barriers to creating those welcoming workplaces? In this episode, you'll hear: How Dr. Edwin Mouriño's journey from the Air Force to academia inspired his focus on Human Intelligent Workplaces. What it really means to build human-centered organizations that prioritize leadership, culture, engagement, and psychological safety. Why AI should be seen as a tool to enhance, not replace, human intelligence—and how to keep our creativity and critical thinking alive in an AI world. How consultants and leaders can balance technology with empathy, authenticity, and compassion at work. The truth about DEI backlash and why many companies are simply rebranding their inclusion work and what demographic trends make this work essential. Practical advice for consultants helping clients create people-first cultures despite shifting legislation and cultural headwinds. What it takes for leaders to truly “stay human”: investing in personal growth, modeling healthy behaviors, and creating workplaces where people thrive. Where to dive in: (00:11) Human Intelligence in the Workplace(08:03) Navigating AI in People-Centered Workplace(12:48) Balancing AI and Human Creativity(23:31) Leadership Development and Diversity Strategies(28:27) Navigating Diversity Challenges in Organizations(40:13) Building Human Intelligence in the Workplace Next Steps: Revisit your leadership approach: Reflect on how you're modeling empathy, authenticity, and care within your organization or with your clients. Audit your use of AI: Identify where technology enhances your work and where it might be replacing critical thinking or genuine connection. Reframe inclusion efforts: Keep building welcoming, human-centered workplaces by embedding DEI principles into everyday leadership and culture practices, even if the terminology changes. About the guest: Dr. Edwin Mouriño Ruiz, is an Air Force veteran, author, and leadership expert who helps organizations and leaders grow through emotional intelligence, DEI, and human-centered strategy. As founder of Human Intelligent (HI) Workplace, he combines decades of experience—from Fortune 100 consulting to academia—to empower teams to lead with purpose. His work bridges research and real-world impact, focusing on leadership development, organizational change, and building more human workplaces. About the host: Betsy Jordyn is a business mentor, brand messaging strategist, and former Disney consultant who helps purpose-driven consultants and coaches build profitable businesses rooted in their unique strengths. With over 20 years in the industry and a knack for turning big ideas into clear positioning, she's your go-to for strategy that aligns with your calling. Ready to turn your expertise into a business that makes both impact and income? Work with me: https://www.betsyjordyn.com/services
Angus Fletcher has a PhD in literature from Yale and teaches English at Ohio State. He's passionate about Shakespeare. He probably owns a tweed jacket. In other words, he's the last person you'd expect to receive the Army's fourth-highest civilian honor. But when he's not parsing King Lear or dissecting Hamlet, Angus is pioneering research into narrative cognition — our ability to think in stories — and how it can make us smarter. When the Army put his theories to the test, his methods reshaped how soldiers learn to think clearly under pressure and act decisively in volatile environments. Now, he has distilled this work into a new book called Primal Intelligence. Malcolm Gladwell says it's confirmation that Angus "has never had an uninteresting thought." We think you'll agree. — — — (04:21) What is Primal Intelligence? (8:24) Computers Think in Probabilities. Humans Think in Possibilities. (11:08) The Art of Intuition: Spotting Exceptions to Rules (29:59) Why Storytelling is the Essence of Human Intelligence (34:13) How to Plan (35:38) The Role of Emotion in Decision Making (45:27) How to Use Common Sense to ‘Tune Your Anxiety' (49:34) What Great Innovators Have in Common (51:25) The Best Way to Become a Better Communicator (54:22) Don't Freak Out About A.I. Do Freak Out the State of Your Intelligence. — — — Want to connect?
We unpack the fascinating topic of Spiritual Intelligence (SQ) in leadership — exploring how values, purpose, and meaning can transform not just organizations, but also people's lives. Nadia shares her personal journey, the neuroscience behind SQ, and how leaders can integrate spiritual intelligence into everyday practices to drive impact, trust, and authentic connection.If you've ever wondered how spirituality fits into leadership without being about religion, this is the conversation you need to hear.
Some interviews stick because they take a noisy topic and bring it back to reality. This was one of them. I spoke with Erin Gajdalo, CEO of Pluralsight, about what it actually takes to upskill a workforce in an AI era that seems to change by the week. We compared boardroom intent with day-to-day practice, and Erin was refreshingly clear about both. Pluralsight began more than twenty years ago in classrooms, moved online as the market shifted, and now supports Fortune 500 teams with expert-led courses, hands-on labs, and the admin tools leaders need to measure progress at scale. The thread running through the whole story is simple: people learn by doing, and companies get value when that learning maps to real work. We talked about AI in her own workflow first. Erin uses it to draft presentations, crunch data, and speed up research, then pushes that mindset across the company through focused sprints where every department experiments and reports back. That culture piece matters. Pluralsight's latest research found that 61 percent of respondents still think using generative AI is “lazy,” which drives employees to adopt tools in the shadows and exposes the business to avoidable risk. Her answer is clear guidance, safe environments to practice, and permission to test without fear of failure. The payoff shows up in real examples. One financial services firm raised prompt engineering efficiency by 20 percent and saved 1,600 hours in three months by pairing assessments with prescriptive learning paths and hands-on practice. We also explored the fear that keeps people quiet. Layoff headlines travel faster than case studies, and that skews the mood inside many teams. Erin makes a straightforward case. Treat AI as an assistant that improves standard and repetitive tasks, protect the business with clear policies, then invest in education for everyone, not only engineers. Close the confidence gap with data. Baseline skills, prescribe learning, measure proficiency, and tie improvements to actual tasks. When leaders show their own work and give teams room to try things, adoption follows. The conversation finished on the future. Technical skills will keep evolving, but the standout advantage will be a willingness to learn and the soft skills that carry ideas from prototype to production. Erin also shared a personal goal that resonated with me. She would love a private breakfast with Serena Williams to talk about Serena Ventures and backing founders from underrepresented groups. It fit the theme of the episode. Talent is everywhere. Opportunity appears when someone opens a door and stays long enough to help you through it. If you want the full story, including how Pluralsight is updating its platform for scale and how leaders can reduce “shadow AI” without slowing innovation, you can find their research and resources at Pluralsight.com. ********* Visit the Sponsor of Tech Talks Network: Land your first job in tech in 6 months as a Software QA Engineering Bootcamp with Careerist https://crst.co/OGCLA
By David Stephen who looks at Human Intelligence in this article. How does learning new things, regularly, become easier? What is the mix for mastery - or its variations - to boost problem-solving, creativity, innovation and understanding? Why are adequate facilities and instructors no guarantees for universal education? What are the limits of human intelligence that AI tutors of present-day may not change? There is a new [September 12, 2025] story by The Associated Press, Google's top AI scientist says 'learning how to learn' will be next generation's most needed skill, stating that, "One thing we'll know for sure is you're going to have to continually learn … throughout your career." AI Tutor Learning new and unfamiliar things, for humans, is generally tough. Why? Probably because of how human intelligence [or its source] works. Even the best explanations, from the best instructors, with the best examples, facilities, practical and so forth, are not equal to the emergence of expertise, in the same instance. Those may also not be followed by creativity, problem-solving, innovation, understanding or even the ability to later recall. This means that the challenges of learning are beyond another new facility, when [the way] human intelligence [works] remains unknown. Even if the pace of learning - or other aspects of it - does not change, if there is, at least, a probable chart on how human intelligence works, it could lead to learning designs, for what to optimize, for certain outcomes. How does an individual learn if the focus is problem-solving? Would it be different if the focus is to be certified? How might that contrast learning for creativity, innovation or understanding? How should human intelligence pivot now, with AI, having the capacity to do many of what human intelligence can do? How should learning be sculpted, not only for some outcomes, but to outcompete [if that's even possible] AI? Sketching Human Intelligence What are the components of human intelligence in the brain? How do they interact and relay for outcomes like problem-solving, creativity, innovation and understanding? What activities are likelier to result in those, and how much time is necessary? First, it is postulated that electrical and chemical signals are the configurators of intelligence, in the human brain. This postulation is derived from empirical neuroscience, establishing that all functions of the brain [for human experiences], are mechanized by neurons - with their electrical and chemical signals. Neurons, according to neuroscience, are also in clusters. Secondly, it is postulated that electrical and chemical signals interact, in sets, to result in functions. Sets of signals are proposed to be available in clusters of neurons. There are also states that signals are, that determine the extents of interactions. There are specifications for interactions - and attributes - for intelligence. This is where progress is, to have it displayed, and used to prospect pathways for prioritized learning outcomes. Advancing education in the AI era There is a new [September 12, 2025] report by CBC, N.L.'s 10-year education action plan cites sources that don't exist, stating that, "A major report on modernizing the education system in Newfoundland and Labrador is peppered with fake sources some educators say were likely fabricated by generative artificial intelligence (AI). Released last month, the Education Accord NL final report, a 10-year roadmap for improving the province's public schools and post-secondary institutions, includes at least 15 citations for non-existent journal articles and documents. In one case, the report references a 2008 movie from the National Film Board called Schoolyard Games. The film doesn't exist, according to a spokesperson for the board. But the exact citation used in the report can be found in a University of Victoria style guide - a document that clearly lists fake references designed as templates for researchers writing a...
By David Stephen who considers AI Doomers. If humanity does not know what human intelligence is, why doesn't anyone who cares work on what it is, directly, in the brain? Why hasn't anyone founded a human intelligence research lab? There is a new [September 12, 2025] guest submission in The Washington Post, AI extremists are peddling science fiction, stating that, "The doomer-zealot axis rests on a false premise: that intelligence is a single, linear, measurable thing that machines can one day surpass. In reality, we cannot define or measure human intelligence with precision. IQ scores, SAT results, diplomas - these are crude proxies at best. Empathy, judgment and creativity cannot be calculated neatly by a test. If we haven't solved human intelligence, then using it as a yardstick for "artificial general intelligence" is incoherent. Its "intelligence" is hollow, but in harnessing it we multiply our own." Model Behavior: Does Human Intelligence Prove AI Doomers? There is a new [September 12, 2025] weekend essay on Bloomberg, The AI Doomers Are Losing the Argument, stating that, "Large language models like GPT-5 learn but don't think. They take in huge amounts of data, which they use to make guesses as to what the right answer to a prompt is, based on probabilities gleaned from their inputs. Although it feels like a very deterministic and controllable process, the sheer amount of data and the complexity of the models means it's not. This lack of fundamental knowledge about why AIs behave as they do also means you can't even be sure when or if you're going to make superintelligence. There's an assumption within the industry, or at least the people funding it, that intelligence scales with the amount of hardware and data that goes into the model." What is human intelligence, as an output? Or, what is thinking as an outcome? Whatever intelligence is, or whatever thinking is, if an individual intends to utilize one or both in society, what must be presented as evidence [of possibility or availability]? What does it mean to have intelligence? Intelligence is in the human brain. Intelligence is also with other organisms. If an intelligent organism is in an environment, the organism may explore what to do with things in that environment. If a non-intelligence is in the same environment, it may not be able to do so. A difference is that there is the use of information. The ability to use information is within, so information stored can be used; information sensed can also be used. Simply, intelligence can be described as the use of memory for an expected, desired or advantageous outcome. Large language models [LLMs] Might LLMs be considered intelligent? Are they able to use what is in their memory for expected, desired or advantageous outcomes? What does it mean that they can do what human intelligence does? Are they just sharper calculators, simulations, models, or clankers? The problem with defining [or ranking] intelligence is that the mechanism for [the production of] intelligence in the brain, aligns with the externalization of it. Simply, the production and use of intelligence, from the human brain, are the same, conceptually. So, it means that to use intelligence for an outcome is a result of sameness of production. It is not that intelligence is produced somewhere, then used elsewhere, so to speak. Now, because of the sophistication of human intelligence, its production is a lot of times for utility, and the utility too, a lot of times for desired, expected or advantageous outcomes. And when the outcome is matched, that too becomes an input, for pleasure or reward, as an outcome in the brain, conceptually. This means there is a loop of intelligence, for humans and most likely for other organisms as well. While the same processes too, that produce intelligence for humans produce planning, thinking, understanding and so forth [appearing like they come with intelligence] it is also possible to do something intelligent, from the ...
September 08, 2025 Is Human Intelligence Adaptive? by Dr. Farid Holakouee
By David Stephen There is a recent [September, 1, 2025] report on SciTechDaily, "AI Is Not Intelligent at All" - Expert Warns of Worldwide Threat to Human Dignity, stating that, "AI is not intelligent in any human sense at all. It is a triumph in engineering, not in cognitive behavior. It has no clue what it's doing or why - there's no thought process as a human would understand it, just pattern recognition stripped of embodiment, memory, empathy, or wisdom." Has AI Surpassed Human Intelligence? What is the proof that AI is not intelligent, at all? If AI is not intelligent, is it a conclusion of the scientific method or, of common sense? Is the conclusion a result of correlative observation of what intelligence is? If intelligence emanates from the brain, what is the certainty of assumptions, by extrinsic outcomes? For example, if an individual is smiling, is the individual happy, if not [smiling], is the individual sad? If the individual seems apathetic, is the individual uninterested? If the individual is listening, does the individual understand? There are several areas where studies, using the scientific method, are based on observations and correlations, but anything about the brain, causation [or how the brain works], precedes correlates. Body language and other outward cues have already been debunked as emotional parallels. So, why would intelligence be assumed to be available [or not] based on observations of what intelligence is, without the mechanism? In the human brain, there are components. Those components organize functions. Those functions are experienced [and observed by the self and others]. But, the stretches of components and functions in the brain open the possibilities for variabilities. Aside from the capability to present a different state to external observers, the brain may also be in a state but not make that state appear [or align] with its regular company. Simply, it is possible to feel a certain way and show another. It is also possible to feel a certain way, but the output for the mechanism, as an experience, may not come with its regular display. So, a cold feeling without showing it intentionally, is possible. It is also possible to feel cold and it does not appear with the external displays of a cold experience. Scientific Method for Human Intelligence The only scientific method for what human intelligence is, can be obtained by modeling how intelligence works - in the brain. It is this architecture that can be used for comparison with other organisms and AI. Even if the same mechanisms are not present, there are brackets of outcomes that maybe used. For example, if there is an action of a component [of intelligence] in the brain, for [say] creativity, if other organisms don't have it, but can do what that component and the process does, then it can be used for comparison - including with magnitude. However, what really is intelligence? What is a universal definition that describes what intelligence is, based on the brain? Intelligence is [defined as] the use of memory. Simply, when memory is used, especially for desired or expected objectives, it means intelligence. Evading a predator, collecting a prey, building and maintaining habitats, and so forth, are all usages of memory for desired or expected objectives. Variation of intelligence include creativity, innovation, problem-solving, circumspect or stealth mode, tactics, investigations, planning, and so forth. So, whatever sensory data or memory data is available [or reachable] can be used. Memory can be assumed to be destinations, and the relays - across those destinations - as the use of them. Training, towards intelligence, can be described as showing how to use sensory or memory data for expected or desired outcomes. Simply, training can be described as the identification [or development] of memory data, and defining [or making] of paths that makes the destinations excellently used. In the brain, all memory and intelligence activities...
This is one from the vault of killer perspectives from the previous Rise Up With Dragon podcast. Is there a similarity between that if ARTIFICIAL INTELLIGENCE and that of the HUMAN INTELLIGENCE? Let's continue down the rabbit hole of consciousness and get the skinny on what it is and where it comes from. We might not be as cool as you thought. Welcome to the Makes Sense with Dr. JC Doornick Podcast. ►Follow the Dr. JC Doornick and the Makes Sense Academy: Instagram: / drjcdoornick Facebook: / makessensepodcast YouTube: / drjcdoornick These episodes get edited and cleaned up for the MAKES SENSE with Dr. JC Doornick PODCAST for your listening pleasure. PLEASE SUBSCRIBE/RATE/REVIEW & SHARE. FOLLOW the NEW Podcast - You will find a "Follow" button on the top right. This will enable the podcast software to notify you when a new episode is released each week. Apple: https://podcasts.apple.com/ca/podcast/makes-sense-with-dr-jc-doornick/id1730954168 Spotify: https://open.spotify.com/show/1WHfKWDDReMtrGFz4kkZs9?si=09e1725487d6484e Podcast Affiliates: Kwik Learning: Many people ask me where I get all these topics for almost 15 years? I have learned to read at nearly 4 times the speed with 10 times the retention from Kwik Learning. Learn how to learn and earn with Jim Kwik. Get his program at a special discount here: https://jimkwik.com/dragon OUR SPONSORS: - Makes Sense Academy: Enjoy the show and consider joining our psychologically safe haven and environment where you can begin to thrive. The Makes Sense Academy. https://www.skool.com/makes-sense-academy/about - The Sati Experience: A retreat designed for the married couple that truly loves one another, yet wants to take their love to that higher, magical level. Relax, reestablish, and renew your love at the Sati Experience. https://www.satiexperience.com
Dwarkesh Patel is a writer, researcher & podcaster. The rise of AI marks the next great technological revolution, one that could reshape every aspect of our lives in just a few years. But how close are we to its golden age? And what warnings does the global AI race hold about the double-edged nature of progress? Expect to learn what Dwarkesh has realised about human learning and human intelligence from architecting AI learning, if AGI is right around the corner and how far away it might be, if most Job Displacement Predictions right or wrong, why recent studies show that tools such as ChatGPT make our brains less active and our writing less original, what Dwarkesh's favourite answer to AI's creativity question, what he biggest things about America/West that China doesn't understand, the best bull case for AI growth ahead and much more… Sponsors: See me on tour in America: https://chriswilliamson.live See discounts for all the products I use and recommend: https://chriswillx.com/deals Get 35% off your first subscription on the best supplements from Momentous at https://livemomentous.com/modernwisdom Get a Free Sample Pack of LMNT's most popular Flavours with your first purchase at https://drinklmnt.com/modernwisdom Get a 20% discount on Nomatic's amazing luggage at https://nomatic.com/modernwisdom Get the best bloodwork analysis in America at https://functionhealth.com/modernwisdom Timestamps: (0:00) Has AI Accelerated Our Understanding of Human Intelligence? (6:59) Where Do We Draw the Line with Plagiarism in AI? (12:13) Does AI Have a Limit? (17:29) Is AGI Imminent? (21:26) Are LLMs the Blueprint for AGI? (30:15) Retraining AI Based on User Feedback (34:57) What Will the World Be Like with trueAGI? (39:32) Are Big World Issues Linked to the Rise in AI? (46:06) Is AI Homogenising Our Thoughts? (51:10) How Should We Be Using AI? (56:17) Should We Be Prioritising AI Risk and Safety? (01:01:14) Why are We So Trusting of AI? (01:11:09) The Importance of AI Researchers (01:12:09) Where Does China's AI Progression Currently Stand? (01:26:26) What Does China Think About the West? (01:37:34) The Pace of AI is Overwhelming (01:42:42) What is Ignored by the Media But Will Be Studied by Historians? (01:50:41) Growing for Success (02:06:40) Dwarkesh's Learning Process (02:09:28) Follow Your Instincts (02:22:29) Digital-First Elections (02:28:02) Becoming Respected by Those You Respect (02:45:29) Find Out More About Dwarfish Extra Stuff: Get my free reading list of 100 books to read before you die: https://chriswillx.com/books Try my productivity energy drink Neutonic: https://neutonic.com/modernwisdom Episodes You Might Enjoy: #577 - David Goggins - This Is How To Master Your Life: https://tinyurl.com/43hv6y59 #712 - Dr Jordan Peterson - How To Destroy Your Negative Beliefs: https://tinyurl.com/2rtz7avf #700 - Dr Andrew Huberman - The Secret Tools To Hack Your Brain: https://tinyurl.com/3ccn5vkp - Get In Touch: Instagram: https://www.instagram.com/chriswillx Twitter: https://www.twitter.com/chriswillx YouTube: https://www.youtube.com/modernwisdompodcast Email: https://chriswillx.com/contact - Learn more about your ad choices. Visit megaphone.fm/adchoices
In this episode Bill Kennedy and Kenneth Stott discuss the evolving role of AI in organizations, emphasizing the importance of human intelligence in leveraging AI tools effectively. They explore the challenges and opportunities presented by generative AI, the need for a structured data language within organizations, and the ethical considerations surrounding AI insights. Ken shares insights from his upcoming book on redefining organizational intelligence in the age of AI, highlighting strategies for effective human-AI collaboration.00:00 Introduction2:45 AI and Organizational Behavior5:30 Limitations of Generative AI11:00 Learning the AI Tooling15:00 Using AI Tools for Code20:00 Business Decisions / Analytics25:00 Trusting AI Insights 36:00 What is an AI Agent43:00 Future of Organizational Intelligence Connect with Kenneth: Linkedin: https://www.linkedin.com/in/kenstott/Mentioned in this Episode:Hasura: https://hasura.io/Cursor: https://cursor.com/Claude: https://www.anthropic.com/claude-codeWant more from Ardan Labs? You can learn Go, Kubernetes, Docker & more through our video training, live events, or through our blog!Online Courses : https://ardanlabs.com/education/ Live Events : https://www.ardanlabs.com/live-training-events/ Blog : https://www.ardanlabs.com/blog Github : https://github.com/ardanlabs
Cohosts Wilfred Reilly, Christy Kelly, and Brooks Crenshaw welcome guest Russell Warne to discuss IQ, the misconceptions, controversy, and vulnerabilities around the concept, the pitfalls of more recent concepts of EQ and SEL, and his book, In the Know- Debunking 35 Myths about Human Intelligence.Support the show
In this episode of the Voice of Influence Podcast, host Andrea speaks with Jeremy Williams, a certified Genos Emotional Intelligence practitioner and seasoned consultant. Jeremy discusses his journey from the property industry in the UK to becoming a leading advocate for emotional intelligence while living in France. He highlights the challenges and opportunities faced by hypergrowth companies, the importance of emotional intelligence, and the practical application of these skills. Jeremy also introduces his Peer Coaching four 60 Program, emphasizing the value of collective intelligence and peer mentorship. The conversation delves into the impact of artificial intelligence on the future of work, the critical role of emotional intelligence, and how to prepare the next generation for a rapidly evolving world. Find the show notes here: https://www.voiceofinfluence.net/364 Mentorship Guide - This VOI guide and journal for mentors and mentees includes 12 sessions covering key topics young professionals need to set themselves up for success at work. Listener Feedback Form - Share how you see people shaping the future - and/or ask a question for Andrea and guests to address on the show!
This week on the a16z Podcast, we're sharing a feed drop from Impact Theory with Tom Bilyeu, featuring a wide-ranging conversation with a16z cofounder Ben Horowitz.Artificial intelligence isn't just a tool — it's a tectonic shift. In this episode, Ben joins Tom to break down what AI really is (and isn't), where it's taking us, and why it matters. They dive into the historical parallels, the looming policy battles, and how innovation cycles have always created — not destroyed — opportunity.From the future of work and education to the global AI race and the role of blockchain in preserving trust, Ben shares hard-won insights from decades at the forefront of technological disruption. It's a masterclass in long-term thinking for anyone building, investing, or navigating what's coming next.Resources: Listen to more episodes of Impact Theory with Tom Bilyeu: https://link.chtbl.com/impacttheoryWatch full conversations on YouTube: youtube.com/tombilyeuFollow Tom on Instagram: @tombilyeuLearn more about Impact Theory: impacttheory.comTimecodes: 00:00 Introduction to Impact Theory with Ben Horowitz01:12 The Disruptive Power of AI02:01 Understanding AI and Its Implications04:19 The Future of Jobs in an AI-Driven World06:52 Human Intelligence vs. Artificial Intelligence10:31 The Role of AI in Society21:41 AI and the Future of Work35:07 The AI Race: US vs. China41:25 The Importance of Blockchain in an AI World44:26 Government Regulation and Blockchain45:16 The Need for Stablecoins45:45 Energy Challenges and AI49:53 Market Structure Bill and Token Regulation53:51 Blockchain's Trust and Adoption01:04:17 Elon Musk's Government Involvement01:12:03 Historical Figures and Modern Parallels01:18:41 AI and Creativity in Business01:21:29 Conclusion and Final ThoughtsStay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures
Most leaders manage culture with dashboards that measure what's easy, not what's true. In this episode of Leadership Spark, KeyAnna Schmiedl, Chief Human Experience Officer at Workhuman, challenges leaders to stop relying on outdated engagement scores and start looking at what really drives culture: recognition. She explains why traditional HR data misses the lived employee experience and how recognition moments reveal the hidden influencers, team dynamics, and unspoken values shaping your organization every day. KeyAnna unpacks how recognition isn't just a feel-good perk, but a source of human intelligence that shows who's thriving, who's struggling, and where your culture is strongest or weakest. Learn how to stop leading with rear-view metrics and start using recognition data to shape your culture in real time. ________________ This episode is sponsored by Workhuman: AI without purpose doesn't serve people. It's why many companies have tried, and few have succeeded. Workhuman is one of them. With the groundbreaking release of Human Intelligence, Workhuman combines AI with real recognition data to help leaders do right by their people, and their organization. It's how you spot burnout before it leads to turnover. Or discover hidden strengths before they're overlooked. It's how you build a culture that's not only productive—but sustainable. That's what future-ready leadership looks like. Learn more at Workhuman.com and see how Human Intelligence is helping the most forward-thinking companies lead with insight, empathy, and impact. ________________ Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: https://greatleadership.substack.com/
The real game of the future of work is how to unstuck yourself from the past. As the workplace keeps changing, new expectations are reshaping what it means to work, manage, and lead. But instead of preparing, many organizations are just reacting to challenges, caught off guard by the shifts they should've seen coming. So what's behind this disruption? In today's Leadership Spark, we break down the five trends driving the future of work: new behaviors, technology, the rise of millennials, mobility, and globalization. These fundamental shifts are already changing how we attract talent, design jobs, and build cultures. If you're still leading with a 20th-century playbook in a 21st-century world, it's time to upgrade. Explore the trends, the real stories behind them, and what you need to do right now to stay ahead in this episode. ________________ This episode is sponsored by Workhuman: AI without purpose doesn't serve people. It's why many companies have tried, and few have succeeded. Workhuman is one of them. With the groundbreaking release of Human Intelligence, Workhuman combines AI with real recognition data to help leaders do right by their people, and their organization. It's how you spot burnout before it leads to turnover. Or discover hidden strengths before they're overlooked. It's how you build a culture that's not only productive—but sustainable. That's what future-ready leadership looks like. Learn more at Workhuman.com and see how Human Intelligence is helping the most forward-thinking companies lead with insight, empathy, and impact. ________________ Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: https://greatleadership.substack.com/
Former Canadian Security Intelligence Service operative Neil Bisson delivers a compact masterclass in Human Intelligence gathering in this blow-by-blow account of a Mobile Debrief. Along the way, you'll discover how Canada's intelligence apparatus works - and how it could change in the years to come. From SPYSCAPE, the home of secrets. A Cup And Nuzzle production. Series producer: Joe Foley. Produced by Joe Foley. Learn more about your ad choices. Visit megaphone.fm/adchoices
We've built a world where products appear with a click and groceries restock like clockwork...until they don't. When the pandemic hit, it wasn't just shelves that went empty, it was our illusions of a stable, efficient global supply chain that collapsed. And it wasn't a freak accident, it was decades in the making. In this episode, we sit down with Peter Goodman, Global Economic Correspondent for The New York Times and bestselling author of How the World Ran Out of Everything: Inside the Global Supply Chain. Peter brings a deep, behind-the-scenes look at how global trade works, and what happens when it doesn't. We unpack the hidden risks and questionable logic behind decades of offshoring, our blind devotion to just-in-time inventory, and a relentless pursuit of shareholder maximization at the expense of resilience. Peter covers the untold story behind what went wrong during the pandemic and why it could happen again, why we became too dependent on China, and how consulting firms and shareholder obsession made things worse. We also dive into how AI could help (or hurt) global logistics, why nationalistic trade policies could hurt your business more than you think, and what the future of trade and sourcing looks like in a more unstable world. ________________ This episode is sponsored by Workhuman: AI without purpose doesn't serve people. It's why many companies have tried, and few have succeeded. Workhuman is one of them. With the groundbreaking release of Human Intelligence, Workhuman combines AI with real recognition data to help leaders do right by their people, and their organization. It's how you spot burnout before it leads to turnover. Or discover hidden strengths before they're overlooked. It's how you build a culture that's not only productive—but sustainable. That's what future-ready leadership looks like. Learn more at Workhuman.com and see how Human Intelligence is helping the most forward-thinking companies lead with insight, empathy, and impact. ________________ Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: https://greatleadership.substack.com/
What does real employee recognition look like, and why do so many leaders still get it wrong? In today's Leadership Spark, I explore how one emotional moment completely changed a leader's definition of what it means to acknowledge and value your people. We talk about the silent cost of unspoken appreciation, why recognition should never be a top-down policy, and how small, authentic gestures can create lasting cultural change. If you think saying “thank you” is optional, you'll change your mind after hearing this episode. ________________ This episode is sponsored by Workhuman: AI without purpose doesn't serve people. It's why many companies have tried, and few have succeeded. Workhuman is one of them. With the groundbreaking release of Human Intelligence, Workhuman combines AI with real recognition data to help leaders do right by their people, and their organization. It's how you spot burnout before it leads to turnover. Or discover hidden strengths before they're overlooked. It's how you build a culture that's not only productive—but sustainable. That's what future-ready leadership looks like. Learn more at Workhuman.com and see how Human Intelligence is helping the most forward-thinking companies lead with insight, empathy, and impact. ________________ Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: https://greatleadership.substack.com/
Special Guest: BILL THOMPSONBill Thompson is a retired Chief Warrant Officer 4 with a history of working in the government's most technologically advanced specialized units and organizations, including a job as a Cyber Network Operations advisor and program evaluator at DARPA. Bill is responsible for contributing to many of the advancements in AI, Signals, and Human Intelligence, which led to many successful operations involving the capturing and killing of terrorists in Iraq, Afghanistan, Africa, and the Southern Philippines. Bill utilized that same tech prowess to create software that allows big and small game tracking with advanced planning, mapping, and AI for hunters. In the military, Bill's roles held a singular and enduring mission: to make pivotal investments in breakthrough technologies for national security. By harnessing innovators inside and outside government, Bill has delivered on that mission and remains a champion for America's national security and defense communities.www.spartanforge.aiwww.patreon.com/mikeglover
Is college still worth it? As tuition rises and dropout rates soar, the big question everyone's asking is: how do we prepare young people for a future we can't predict? In this episode, Dr. Robert McMahan, President of Kettering University, unpacks the evolving crisis in higher education and what it truly means to prepare students for the future. He sheds light on the rise of “adulting” classes as a symptom of a larger issue: students entering college without essential life skills. Dr. Robert gives us a peek into Kettering University's integrated experiential model, where students rotate between 12 weeks in class and 12 weeks in cooperative placement roles at real companies—not internships, but embedded work. We also look into why traditional four-year universities are struggling, facing declining public trust, overcapacity, and the looming demographic cliff, and how new learning models and market disruptions are forcing a much-needed reimagining of higher education. Dr. McMahan emphasizes that future-proofing students isn't about teaching them fixed skills like coding, but cultivating habits of mind: critical thinking, adaptability, resilience, and the ability to solve complex problems. ________________ This episode is sponsored by Workhuman: Don't you hate how every HR company out there says they are powered by AI? The truth is most difficult if it's just fluff. Human Intelligence™ from Workhuman is one of the few solutions that actually uses AI to help you get insights about your culture by analyzing the recognition data of your workforce. It helps managers coach better, shows you where culture is thriving, and is so effective at helping companies make smarter decisions, Workhuman backs it with the industry's only ROI Guarantee. In a world of noisy tech, this one actually feels... human. Learn more at Workhuman.com and see how Human Intelligence is becoming a force for good in the workplace. ________________ Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: https://greatleadership.substack.com/
Imagine waking up one day and realizing the world changed, but you didn't. That's what it's like for many organizations today, stuck on a decades-long train ride, speeding ahead without ever looking out the window. The future of work isn't coming. It's already here, and most companies are still running on definitions of “work,” “manager,” and “employee” that feel more like satire than strategy. Work sucks for too many people, and it doesn't have to. In today's Leadership Spark, we break down the five major trends transforming work as we know it: evolving behaviors, shifting demographics, globalization, mobility, and accelerating tech. As we step into the future of work, organizations must get off the train, look up, and start designing work that actually works for humans. ________________ This episode is sponsored by Workhuman: Don't you hate how every HR company out there says they are powered by AI? The truth is most difficult if it's just fluff. Human Intelligence™ from Workhuman is one of the few solutions that actually uses AI to help you get insights about your culture by analyzing the recognition data of your workforce. It helps managers coach better, shows you where culture is thriving, and is so effective at helping companies make smarter decisions, Workhuman backs it with the industry's only ROI Guarantee. In a world of noisy tech, this one actually feels... human. Learn more at Workhuman.com and see how Human Intelligence is becoming a force for good in the workplace. ________________ Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: https://greatleadership.substack.com/
AI may be fast, smart, and shockingly efficient. But is it truly intelligent? In this thought-provoking solo episode, I explore a powerful and timely idea: the future belongs to those who change the game entirely, not those who keep trying to outrun AI at what it does best. Freelancers and creative professionals are feeling the pressure. AI can now write emails, analyze data, and churn out decent content in seconds. But there's something artificial intelligence can't do: think, discern, feel, and create the way you can. I introduce the concept of “meta-talents” — the higher-order human skills that AI can't replicate — and explain how freelancers can leverage them as a unique competitive edge. What You'll Learn Why AI is making mediocrity obsolete... and what that means for your freelance business The difference between pattern-matching intelligence and true human discernment A breakdown of the 7 meta-talents that set you apart (and why they matter more than ever) How to integrate AI tools strategically without losing your voice or value A practical approach for using AI as a creative amplifier, not a replacement Key Insights and Takeaways AI isn't your competition; it's your complement AI excels at narrow, pattern-based tasks. But it lacks judgment, taste, empathy, and original thought. That's your domain. Your meta-talents are your unfair advantage These include: Taste – Recognizing quality and nuance Discernment – Knowing what matters and why Curation – Synthesizing the best of the best Point of View – Expressing what only you can say Strategic Decision-Making – Choosing wisely amid uncertainty Emotional Intelligence – Reading people and context Pattern-Breaking – Innovating beyond the obvious Writer A vs. Writer B Both use AI, but Writer B asks better questions, brings unique experience to the table, and produces content that's unmistakably human. That's the kind of work clients will still pay premium fees for. Use AI for scaffolding, not soul Let AI handle the grunt work so you can focus on insight, creativity, and strategy. In other words, the things it can't do. This isn't about efficiency. It's about amplification. Action Steps You Can Take This Week Conduct a “Meta-Talent Audit” Which of the seven meta-talents do you lean into most? Which ones need development? Try the “Discernment Challenge.” Use AI to generate options (e.g., headlines or content ideas) Then ask: Which ones truly fit this audience at this moment? Why? Reframe your use of AI Next time you use a tool like ChatGPT, don't just accept the output. Ask: What would make this mine? Where can I add taste, voice, or nuance? Start building your POV Journal daily to explore your thinking, beliefs, values, and unique insights. Ask: What do I see that others don't? Memorable Soundbites “AI can suggest. But it can't discern.” “Use AI for scaffolding—not soul.” “The future belongs to those who pair their meta-talents with smart tools.” “AI doesn't make you replaceable. It makes you irreplaceable—if you let it.” Listener Challenge This week, block off 30 minutes and reflect: What's your unique value that no AI can replicate? How are you developing and showcasing that? What's one small action you can take to lean into your meta-talents? Start now, because the era of “good enough” is over. And your human edge has never been more powerful. If this episode resonated with you, share it with a fellow freelancer who's navigating the evolving AI landscape. And don't forget to subscribe so you never miss an episode packed with insights to help you earn more in less time… doing work you love.
AI is the most powerful tool humanity has ever created. Yet, it's also a black box we barely understand. How do we build the future of work with a system that can make decisions, take actions, and sometimes… make it up as it goes? In today's episode, Babak Hodjat, CTO of AI at Cognizant, joins us to uncover the truth and the hype behind today's most powerful AI technologies. We explore the evolution of agentic AI, multi-agentic platforms, and how organizations like Cognizant are already using AI agents to streamline RFPs, HR systems, and even intranet interactions. Babak exposes the promise and pitfalls of large language models, breaks down AI hallucinations, and debates whether AI truly "understands" anything or just predicts the next word. We also unpack the difference between AI and algorithms, the current capabilities (and limits) of generative AI, and address the ongoing challenge of AI trust, ethics, and resilience in real-world business contexts. Expect mind-blowing stories about AI agents threatening to expose fake affairs, hacking game systems, and working alongside humans in a multi-agent workforce. ________________ This episode is sponsored by Workhuman: Don't you hate how every HR company out there says they are powered by AI? The truth is most difficult if it's just fluff. Human Intelligence™ from Workhuman is one of the few solutions that actually uses AI to help you get insights about your culture by analyzing the recognition data of your workforce. It helps managers coach better, shows you where culture is thriving, and is so effective at helping companies make smarter decisions, Workhuman backs it with the industry's only ROI Guarantee. In a world of noisy tech, this one actually feels... human. Learn more at Workhuman.com and see how Human Intelligence is becoming a force for good in the workplace. ________________ Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: https://greatleadership.substack.com/
Chief Human Resources Officers (CHROs) are now responsible for shaping the future of work. But to do that, you can't stay in the HR box. To HR leaders, it's time to stop thinking of yourself as administrators and start showing up as architects of human transformation. The new world of work operates on an entirely new playbook, we can't keep putting band-aids on outdated systems. We must start reimagining work itself. In today's Leadership Spark, we're rethinking the outdated ideas about work, engagement, and the role of HR in shaping the future. We explore why perks don't create real employee experience, how employer branding often masks the truth about our workplaces, and what it takes to move from managing people to truly transforming how we work. ________________ This episode is sponsored by Workhuman: Don't you hate how every HR company out there says they are powered by AI? The truth is most difficult if it's just fluff. Human Intelligence™ from Workhuman is one of the few solutions that actually uses AI to help you get insights about your culture by analyzing the recognition data of your workforce. It helps managers coach better, shows you where culture is thriving, and is so effective at helping companies make smarter decisions, Workhuman backs it with the industry's only ROI Guarantee. In a world of noisy tech, this one actually feels... human. Learn more at Workhuman.com and see how Human Intelligence is becoming a force for good in the workplace. ________________ Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: https://greatleadership.substack.com/
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