AI Or Not AI // Dietmar's Opinion

79% of failures are completely invisible - Moritz Sudhof Explains

Artificial Intelligence is getting smarter every month. Models can pass exams, write code, summarize documents, and even outperform humans in specific tasks. Yet according to Moritz Sudhof, one of the biggest risks in AI today has very little to do with intelligence. Moritz is the co-founder of BigSpin.ai and a former VP of AI at BetterUp, where he helped build AI-powered coaching systems. His research focuses on a surprising problem: most AI failures are not obvious. In fact, BigSpin's research found that 79% of AI failures are invisible to users. The AI appears helpful, sounds confident, and produces convincing outputs, but users often walk away with incorrect assumptions, incomplete information, or entirely wrong conclusions without realizing it. In this episode, we explore why AI hallucinations are only part of the problem. Moritz explains why the real challenge lies in the interaction between humans and AI. He shares how conversational failures emerge, why expert AI users actually encounter more failures than beginners, and why trust may become the defining challenge of the AI era. 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠ [https://beginnersguide.nl/] 📧💌📧 We also discuss the seven hidden failure patterns that appear repeatedly across AI systems, including the Confidence Trap, Death Spiral, Silent Walk Away, and other interaction failures that impact AI agents, copilots, and enterprise AI deployments. Towards the end of the conversation, we explore a fascinating question: what is the real long-term risk of AI? Moritz argues that the biggest danger may not be superintelligent machines taking over the world, but humans gradually outsourcing their judgment and decision-making to systems they trust too much. In this episode, you'll learn: • Why 79% of AI failures go unnoticed • The difference between AI intelligence and AI trust • Why hallucinations are often caused by interaction failures • How AI agents create new risks for businesses • The seven most common invisible AI failure modes • Why expert users encounter more AI failures • The role of human-in-the-loop systems • How enterprises can improve AI reliability • Why observability matters more than perfection • The future of trust, verification, and AI governance If you're building AI products, deploying AI agents, or simply trying to understand where AI is heading, this conversation provides a practical framework for thinking about AI reliability, AI trust, and the future of human-AI collaboration. Chapters 00:00 Why AI Failures Matter 08:00 Why Hallucinations Really Happen 12:25 The 7 Invisible AI Failure Modes 19:30 Why AI Literacy Beats Better Prompting 25:25 Human-in-the-Loop and AI Trust 39:50 Claude Code, Agentic AI and Trust Problems 46:00 The Real AI Risk: Dependence vs Judgment Top Three Quotes • "79% of failures in AI conversations are invisible." • "The real thing AI is shipping is not a model. It's an interaction." • "The negative future is people abdicating their own judgment." 🌐 WHERE TO FIND MORITZ SUDHOF 🔹 BigSpin AI https://bigspin.ai [https://bigspin.ai/] Learn more about BigSpin's research on AI reliability, invisible failures, and human-AI interaction. 🔹 Personal Website https://msudhof.com [https://msudhof.com/] Moritz shares his latest writing, research, and publications on AI, language, and human-centered technology. 🔹 LinkedIn https://linkedin.com/in/sudhof [https://linkedin.com/in/sudhof] About Dietmar Fischer: Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at argoberlin.com [https://argoberlin.com/] ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

AI Or Not AI // Dietmar's Opinion

🤖 AI or Not AI: Why Businesses Cannot Ignore AI Without Losing Their Edge AI is no longer a futuristic question for businesses. It is already part of how companies write, research, plan, automate, market, and make decisions. But the real question is not simply whether to use AI. The real question is how to use AI without becoming dependent on it, without ignoring its costs, and without letting it weaken human judgment. In this episode of Beginner’s Guide to AI, Dietmar Fischer takes a personal and critical look at the question: AI or not AI? The answer is not a naive “yes” and not a nostalgic “no.” AI is a powerful tool, and businesses that ignore it may end up like organizations that ignored computers, printing presses, or other major technologies. But using AI blindly creates its own risks. The episode looks at the environmental impact of AI, including energy and water use, the possible effects of AI on jobs and inequality, and the political consequences of large-scale unemployment. It also explores why AI ethics cannot be reduced to simple slogans. Bias, discrimination, monopolies, and concentration of power are real problems, but banning AI is not a serious business strategy. A central theme is AI deskilling. If people ask AI everything, they may slowly lose the ability to think, evaluate, and decide for themselves. For business leaders, marketers, and founders, this is not a minor issue. AI can improve productivity, but it can also hide errors, produce convincing nonsense, and make teams less critical if they stop questioning the output. Key highlights from the episode: 🤖 Why businesses cannot simply ignore AI ⚡ The ecological cost of AI and why sustainable AI matters 👥 How AI may affect jobs, inequality, and reskilling 🧠 Why AI literacy and critical thinking are now business skills ⚠️ The risk of AI deskilling and hidden AI errors 🏢 Why responsible AI adoption matters for companies and SMEs 📚 What history teaches us about refusing important technologies 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠ [https://beginnersguide.nl/] 📧💌📧 Quotes from the Episode: * “There’s no way around AI, so you have to use AI.” * “You should not ask AI everything.” * “Don’t stop thinking.” Chapters: 00:00 AI or Not AI: The Core Question 02:17 The Environmental Cost of AI 04:05 Jobs, Inequality, and Political Risk 06:25 Why Businesses Cannot Simply Refuse AI 08:48 Deskilling, Hidden Errors, and Human Judgment 11:56 Technology Adoption and the China Lesson About Dietmar Fischer: Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at argoberlin.com [https://argoberlin.com/] Music credit: "Modern Situations" by Unicorn Heads ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

Can You Trust Your AI? Vasant Dhar on Robot Taxis vs. Robot Doctors // REPOST

🤖🧠 Thinking with Machines with Vasant Dhar What happens when AI stops being a tool and starts becoming a collaborator and an agent? In this episode, NYU Stern professor and AI pioneer Vasant Dhar takes us through the real story behind modern AI, and the practical frameworks we need for AI trust, AI governance, and the coming era of agentic AI. 🚀 What you will learn - Why “thinking with machines” is a bigger idea than “thinking machines” - How the automation frontier separates low-risk automation from high-stakes human control - Why healthcare has lots of data but still struggles to make good decisions - Why mental health is a dangerous place to outsource empathy to machines - What edge cases in AI mean and why they matter for self-driving cars - How AI agents change the governance conversation, from obligations to restrictions to rights 📌 Key highlights - A practical definition of trust in AI based on error rates and consequences - AI in healthcare data: turning medical trails into usable decision intelligence - The future of work: AI as an amplifier, not a substitute, unless you let it become a crutch - Governance questions that no one gets to avoid once agents can act in the world 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠ [https://beginnersguide.nl⁠⁠⁠⁠] 📧💌📧 About Dietmar Fischer: Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at argoberlin.com [https://argoberlin.com] Quotes from the Episode 💬 “Trust depends on how often a machine makes mistakes and the consequences of those mistakes.” “In physical health, I’m very optimistic. In mental health, not so.” “It’ll likely lead to a bifurcation of humanity… skills get amplified… or people rely on the machine as a crutch.” Chapters ⏱️ 00:00 Vasant Dhar’s origin story in AI and early expert systems 05:08 A Brave New World warning and why optimism still needs guardrails 07:26 AI in healthcare vs mental health and why feelings change the rules 12:37 The trust heat map and the automation frontier in real life 18:21 Edge cases, bounded rationality, and what machines pay attention to 26:03 The future of work and why AI amplifies both skill and decline 36:23 Governance, AI agents, and how much agency we should allow 44:05 AI wow moments and the next frontier: integrated machine senses 47:15 Where to find the book, podcast, and newsletter Where to find Vasant Dhar 🔎 - Visit Vasant's Website, also to find all the links to shops with "Thinking with Machines", his book: vasantdhar.com [https://vasantdhar.com] - Listen to his Podcast: bravenewpodcast.com [https://bravenewpodcast.com] - and get his Newsletter: vasantdhar.substack.com [https://vasantdhar.substack.com] Music credit: "Modern Situations" by Unicorn Heads` ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

🧑🏻‍🎓 Why AI Literacy Will Matter More Than Coding

AI IS NOT JUST A TECHNOLOGY. IT IS A SOCIO-TECHNICAL TOOL.  Artificial intelligence is becoming one of the defining technologies of our time. Yet understanding AI is no longer just a technical skill. It is becoming a life skill. In this episode, AI researcher and entrepreneur Taniya Mishra explains why AI literacy, AI ethics, and AI fluency will become essential for students, professionals, and leaders alike. From founding SureStart in 2020 before the AI boom to helping schools build AI curricula and policies, Taniya has been preparing the next generation for an AI-driven future long before ChatGPT entered the mainstream. We discuss how AI already influences our decisions, why schools need clear AI policies, what humans still do better than machines, and why responsible AI use must be taught alongside technical skills. 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠subscribe to our Newsletter⁠⁠⁠: https://beginnersguide.nl [https://beginnersguide.nl] 📧💌📧 🔥 Quotes from the Episode * "Every person has to know about AI or it will negatively impact their careers and lives." * "If AI takes away human agency, accountability and oversight, then it becomes a parasite." * "The things that make us most human are exactly what AI is not very good at." ⏱ Chapters 00:00 Taniya Mishra's Journey Into AI 08:31 Why AI Literacy Matters For Everyone 17:12 AI Is Already Shaping Daily Life 21:58 Is AI A Parasite Or A Partner? 29:11 Teaching Responsible AI In Schools 36:00 What Humans Still Do Better Than AI 45:00 AI Regulation, Ethics And The Future 49:28 Where To Find Taniya Mishra 🌐 Where to Find Taniya: LinkedIn: linkedin.com/in/taniya-mishra-phd/ [https://www.linkedin.com/in/taniya-mishra-phd/] Website: mysurestart.com [https://mysurestart.com] 🎧 About Dietmar Fischer Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at https://argoberlin.com [https://argoberlin.com] ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

The Scariest AI Scenario Isn't Terminator, Dr. Mark Khater Says

🎙️ Why AI Could Make Smart Teams Dangerously Alike Artificial intelligence is changing how we work, think, and make decisions. But what if the biggest risk isn't that AI becomes smarter than humans? What if the real danger is that humans become too similar to each other? In this episode, Mark Khater joins me to discuss one of the most fascinating AI concepts I've heard recently: Silent Coordination Failure. As more people use the same AI systems, access the same information, and reach the same conclusions, organizations may unknowingly lose diversity of thought. Faster decisions can become worse decisions. Alignment can become groupthink. And highly intelligent teams can end up making catastrophic mistakes together. We also discuss AI governance, regulation, investment management, human judgment, diversity of thought, and why trust remains uniquely human. 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to ⁠⁠subscribe to our Newsletter⁠⁠: https://beginnersguide.nl [https://beginnersguide.nl] 📧💌📧 👨‍💻 About Dietmar Fischer Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at https://argoberlin.com/ [https://argoberlin.com/] 🎯 Quotes from the Episode • "Machines think fast, but humans think deep." • "Trust is a human trait. It's not between a man and a machine." • "If we're all highly aligned on the wrong page, it's catastrophic." ⏱ Chapters 00:00 Mark's AI Journey Since 1994 04:45 Why Universities Matter In The AI Era 12:20 AI Regulation, Europe And The Infrastructure Debate 19:00 AI In Investing And Human In The Loop Systems 28:20 Silent Coordination Failure And The Loss Of Diversity 39:00 Why Human Intelligence Still Matters 🔗 Where To Find Dr. Mark Mohamed Khater LinkedIn: linkedin.com/in/dr-mohamed-mark-k/ [https://www.linkedin.com/in/dr-mohamed-mark-k/] Website: aqm2.ai [https://aqm2.ai/] ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.