Crazy Wisdom
Episode #416: AI, Attention, and the Battle for Reality: A Mind-Bending Journey with Eric Fisher
- AI & Agents
- Future of Work
- AI
- large language models
- LLMs
- spirituality
- education
- algorithmic feeds
- attention economy
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Timestamps
Key Insights
Eric Fisher highlights the dual potential of AI as both a tool for human advancement and a source of unforeseen challenges. Drawing from his experience at Facebook, he explains how algorithmic feeds designed to increase engagement eventually led to widespread issues like polarization and misinformation. This echoes in today’s world of LLMs (Large Language Models), where AI’s utility as a tool for learning, troubleshooting, and content creation exists alongside the risk of biased or manipulative outputs. The key takeaway is that technology, like a rock, is neutral — its impact depends on how it is used and who is using it.
Attention has become a central currency in the modern economy, and Fisher points out that the concept of "attention economy" wasn't even part of public discourse a few decades ago. Today, with the rise of LLM-driven AI companions and algorithmic feeds, attention is being sliced and sold with increasing precision. This shift raises questions about how much of human autonomy is being traded away in favor of frictionless convenience. As AI becomes more adept at predicting and shaping user behavior, the concept of "free will" within an attention-driven economy becomes murkier.
Both Stewart Alsop and Eric Fisher recognize the potential for AI to revolutionize education. Instead of the traditional classroom model, self-directed learning with AI-driven tutors could allow for personalized, one-on-one learning experiences for every student. Fisher notes that tools like ChatGPT have already enabled him to troubleshoot complex home systems, like his geothermal cooling system, without needing to call a specialist. This self-sufficiency could be mirrored in education, where AI assistants offer instant, tailored guidance to students across a range of subjects.
A provocative idea discussed in the episode is the possibility of AI-generated personalized realities. Through augmented reality (AR) glasses or VR headsets, individuals could project and experience personalized versions of reality. Fisher points out that, in many ways, people already live in "personalized mental realities" shaped by language, perception, and cultural narratives. AI could make this more literal, with each person living in a bespoke, algorithmically generated world. While this concept sounds thrilling, it also hints at a future where shared consensus reality — the "real world" — becomes more fragmented than ever.
Tracing the legacy of figures like FDR and LBJ, Fisher reflects on how America shifted from a society that valued the working class to one that prioritizes business interests. While earlier eras emphasized worker rights, health care, and public welfare, today's economy is focused on empowering small businesses and startups. Everyone is now expected to be a "business of one," as independent creators, gig workers, and personal brands become the dominant paradigm. The result is a world where individual workers act like micro-businesses, managing their own healthcare, retirement, and financial stability — often with no safety net.
With Meta and OpenAI releasing LLMs and synthetic AI models into the open-source community, Fisher expresses concern about the fragmentation of "truth." As more people train and deploy their own AI models, the risk of misinformation rises. Just as search engines can prioritize certain content over others, decentralized AI models may be subtly — or overtly — biased. This issue becomes even more concerning if companies start inserting ad-driven recommendations into AI responses, giving users the illusion of objectivity when, in fact, they’re being guided toward a commercial end.
The episode touches on a cyclical view of history, where moments of collapse often lead to periods of rebirth. Fisher compares this to the aftermath of the bubonic plague, which killed half of Europe’s population but led to the Renaissance and an era of cultural flourishing. He speculates that a similar phenomenon could play out today. Whether through demographic decline, AI-driven disruption, or a collapse of old economic models, humanity could experience a dramatic contraction. Paradoxically, such a collapse might bring about an "age of spaciousness" where fewer people, better technology, and renewed humanism create a richer and more thoughtful way of life.
Episode transcript
Welcome to the Crazy Wisdom Podcast. This podcast is for you. If you have an insane drive to find the truth of things, it's not the good answers that we seek, but the good questions. I interview a range of different guests from many different fields, all with the intention to uncover the simple truths that are hidden in plain sight. Most people don't want to go there. I go there, my guests go there, and you benefit. Please let me know if you enjoy these episodes and as always, subscribe on itunes, Spotify, or wherever you listen to the podcasts.
Welcome to the Crazy Wisdom Podcast. It's been many, many years since the last time I interviewed Eric. Last time, we both did a. A double interview with Eric Levin and Eric Fisher together. But you were actually one of the first people that I interviewed for my Crazy Wisdom podcast in the very beginning. I think you were one of the first four or five episodes and learned a lot, and we became friends. And now I'm down in Buenos Aires and excited to talk to you about what you think is going on with A.I. not only that, but also just any sort of spiritual understandings you have come to in the last few years, the last time we've done it. So welcome to the show.
And then we did the last one in Boulder in that awesome house overlooking that. That with the beautiful view of the mountains and the trampoline in the background or in the back. And now are you. You're in the mountains right now, aren't you?
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