Manage episode 513143971 series 3608916
In this hard-hitting, no-fluff episode, Ed Fassio dives headfirst into the weird, messy future of AI-powered selfhood—where personalized algorithms don’t just reflect our thoughts… they shape them. What happens when your AI knows your voice better than your therapist? Or worse, when it starts pulling knowledge from synthetic echoes instead of real history?
Ed unpacks the dark magic of context accumulation, the danger of echo chambers disguised as helpful assistants, and what it means when “truth” becomes a matter of taste. It’s part sermon, part survival guide—and a must-listen for anyone navigating life with a digital twin.
Whether you’ve spent years building your AI relationship, or you’re just starting to wonder why your chatbot is getting a little too good at sounding like you… this one’s for you.
🎧 Keywords:
AI personalization, synthetic reality, large language models, truth erosion, digital identity, GPT-5, human-AI collaboration, echo chambers, hallucinations in AI, shared reality, reflective AI, prompt engineering, model collapse, tech ethics, personalization algorithms
📱 Hashtags:
#ArtificialIntelligence #PersonalizedAI #EdFassio #AIEthics #DigitalIdentity #SyntheticReality #HumanInTheLoop #GPT5 #MirroredWorld #FutureOfTruth #AIPodcast
🎤 About Ed Fassio:
Ed Fassio is a global AI strategist who helps executive leaders and enterprises harness the Agentic Frontier of AI to transform business models, accelerate adoption, and unlock multimillion-dollar ROI. As a keynote speaker, educator, and advisor, he bridges visionary thinking with practical execution, empowering organizations to thrive in the age of intelligent automation.
His work blends sharp philosophical inquiry with gritty real-world analysis—equal parts storyteller, provocateur, and mentor. Through essays, lectures, and now podcast episodes, Ed challenges the echo chambers of modern AI and offers grounded insight into the human-machine loop we’re all tangled in.
LISTEN TO MORE EPISODES: https://www.reflectpodcast.com
76 episodes