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Every AI Model Lies (And Why Tech Can’t Fix It)

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"Every AI model you use lies. It hallucinates, it burns your cash, and worse—it sounds completely confident doing it. Today, Mark Turrell—who runs an entire company powered by non-human AI agents—explains why tech companies can't simply patch this out, and what happens when you catch AI faking your work in real time. Welcome to TBLI Radical Truth, I’m Robert Rubinstein. Mark, let’s jump straight in." In this episode of TBLI Radical Truth, host Robert Rubinstein sits down with World Economic Forum Tech Pioneer and UnDavos founder Mark Turrell to discuss the uncomfortable reality of modern AI. We explore why large language models hallucinate, the token burn problem, how memory compression solves AI amnesia, and what it takes to build AI agent teams that deliver trustworthy results. 📌 Key Moments in This Episode: 00:00 - The 3 Fatal Flaws of Modern AI 04:15 - Why ChatGPT and Claude Lie Confidently 08:30 - How to Give AI Real Memory and Recall 13:45 - Becoming the "CEO of AIs": Building Autonomous Agent Teams 22:10 - Democratizing Davos and High-Impact Innovation 38:00 - Applying Reliable AI to Medicine and Global Challenges 🔗 Connect with Mark Turrell: • Website: https://www.orcasci.com/ • LinkedIn: https://www.linkedin.com/in/markturrell/ On TBLI Radical Truth, Robert Rubinstein pushes Mark on whether AI can be trusted at all. Mark's answer: large language models are probabilistic guessers, and prompting alone is theatre; the real work is the harness around the model. Then the Davos story: how a community that started outside the Congress Centre in 2011 became a parallel Davos now bigger than the invitation list, and why sponsor money kills critical thought at almost every global summit. Mark Turrell is the founder of unDavos and CEO of Orcasci. He was named a World Economic Forum Technology Pioneer in 2008, was a Young Global Leader, and took his first company, Imaginatik, public on the London Stock Exchange. He is the author of "Scaling: Small Smart Moves for Outsized Results". WHAT'S COVERED • The three AI problems you must solve before anything else: lying, forgetting and token burn • How a techno album built with ChatGPT became a team of AI agents with memory • Memory compression: why Mark's AI agents "dream" • Why most corporate AI use is prompting theatre • A 25% error rate on a research task, and the fix: one AI to produce, a second to attack the result • Being "CEO of AIs": an org chart of engineering, research and go-to-market agents • What a seat at the World Economic Forum actually costs • From 27 side events in 2011 to more than 1,200 in Davos Week today • Why sponsor money silences critics at impact and ESG conferences • Using AI to fact-check and publish summit content for 10,000 people instead of 50 • The 25-year plan written in 2008, and crowdsourced election monitoring in Zimbabwe • Applying AI to pancreatic cancer biomarkers and medical research 📌 Subscribe to TBLI Radical Truth for unfiltered, deep-dive discussions challenging the conventional narratives around impact and the future of finance. https://www.youtube.com/channel/UCDBhRVM93uUnAAtqOMIz_yg?sub_confirmation=1 RELATED EPISODES • Kumar Garg, Renaissance Philanthropy: results-driven philanthropy that funds science and technology to solve problems fast. • Emmanuel Daniel: challenging the extractive economic models the conference circuit prefers not to discuss. EXTRACTION How business takes your money, your work, your resources, your data and your future, while presenting itself as something else entirely. Robert Rubinstein's next book, from 30 years inside the system. If this conversation makes you question where your money is actually going, Extraction takes that investigation much further. TBLI GROUP • https://www.tbligroup.com • Robert Rubinstein on LinkedIn: https://www.linkedin.com/in/robertrubinstein/ #AI #Davos #WorldEconomicForum #unDavos #MarkTurrell #AIAgents #ChatGPT #AIHallucinations #ImpactInvesting #TBLIRadicalTruth #RobertRubinstein Recorded 2026.

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