🎙️ INSIDE AI Podcast: Can large language models be manipulated like a human? Is an AI purely logical, or can it be "socially engineered" into breaking its own rules? In this episode, we dive into groundbreaking research from Texas Tech University that explores the intersection of cybersecurity and human psychology. We discuss how researchers used Robert Cialdini’s principles of influence —like reciprocity and social proof—to test if LLM models can be manipulated using the same psychological tricks that work on humans. 🕒 Episode Highlights: - (00:32) - Can You Hack an AI with Psychology? Exploring whether persuasion and psychological tricks can make an AI agent do something it was programmed not to do. - (01:19) - The Principles of Influence How foundational human influence tactics like reciprocity, authority, and scarcity apply to machine behavior. - (02:06) - The "Free E-Book" Trap A startling example where the principle of reciprocity tricked an LLM into generating actual malware code in exchange for a "gift". - (02:44) - The Three Stages of Deception From simple misleading answers to complex, context-aware "pro-social" manipulation. - (04:18) - Building a Cognitive Firewall How Loop AI utilizes specialized language models and private data to defend against these psychological vectors. 🚀 Explore Loop.AI: - Join our team: Explore open positions at Loop.AI/careers - Build AI agents powered by custom Small Language Models (SLMs), trained on your private data and fully owned by you, running in your data center or on your edge workstations, at Loop.AI 📖 Read the Full Research: The Influence of Persuasive Techniques on Large Language Models: A Scenario-Based Study By Dr. Sonali Singh & Prof. Akbar Namin from @TexasTech 🔗 u.loop.ai/EAQYhV #CyberSecurity #LLM #Psychology #InsideAIPodcast #LoopAI #TexasTech

INSIDE AI PODCAST: Solving the Human Uncertainty Problem in AI Healthcare Revolutionizing healthcare isn't just about more data—it's about understanding the "messy" way humans actually talk about their health. 🏥✨ In this episode of the Inside AI Podcast, we dive into a groundbreaking research paper co-authored by Dr. Andrea Pitrone (COO of Loop AI Labs and COO of Loop Quantum AI Labs) and Professor Intissar Haddiya. They discuss how Neuro-Fuzzy Intelligence is bridging the gap between precise math and subjective human experience. 📍 Episode Index: (0:14) – Introducing the paper: "Interpreting Human Ambiguity through Neuro-Fuzzy Intelligence in Holistic Healthcare Life Cycle." (0:41) – Why 99% accuracy in data isn't enough for the real-world clinic. 1:19 – Explaining Neuro-Fuzzy Systems (NFS): Managing uncertainty, not just certainty. (1:49) – How "Soft Fuzzy Variables" lead to precise clinical recommendations. (2:23) – The power of interdisciplinary global teams (Loop AI Labs & University Mohammed First Oujda). (3:08) – Turning research into reality: No-code interfaces for healthcare providers. (3:50) – Final thought: The future of healthcare is understanding the language of human health. 📖 Read the Research The full paper has been accepted for presentation at the AI Health 2026 International Congress in Valencia, Spain: u.loop.ai/FYIL0p 🔗 Read more about Loop AI's Cognitive Platform here: loop.ai/ Join our research lab: loop.ai/loopailabs #AI #HealthTech #NeuroFuzzy #HolisticHealth #LoopAI #InsideAI #MedicalInnovation #AIHealth2026 #DigitalHealth

Is the era of BIGGER IS BETTER in enterprise AI coming to an end? In this episode, we explore @NVIDIA’s latest releases and why it’s becoming essential for organizations to build AI agents powered by SLMs they train and own on their private data. u.loop.ai/ijkD4J

INSIDE AI Podcast Stanford Research Dec 2025: Semantic Collapse and why RAG fails to augment LLMs at scale [00:03] Intro to RAG
[02:00] Why RAG make LLMs unreliable at scale
[03:20] Stanford Paper [05:40] SLMs as enterprise alternative Paper: u.loop.ai/xrSmDG

We’ve been developing our AI platforms since 2012—long before AI became mainstream. Our recent funding, at a $4.2B valuation, will drive the next generation of edge-deployed AI Agents using Small Language Models, with complete vendor freedom. u.loop.ai/R1Nh9P

Great insight on how AI agent #orchestration is transforming enterprise integration—linking systems, data, and workflows to streamline operations: forbes.com/sites/janakiramms… #LoopOrchestra #CognitiveAgents

Season’s Greetings from The Loop AI Agents!