How does supply meet demand?
Valuable supply of something is created for demand of value for solving a problem: people need cleanliness, people sell soap.
In a typical fashion, people create businesses to capitalize on this value.
They do some form of “need-finding”—making sense of the world through the lens of some population of people, their Ideal Customer Profile (ICP).
And those ICPs, do the same thing.
They watch commercials, they see products and services, they read reviews, they try things out to solve their problems.
This is match making of supply and demand. That is a frame in which we view the hyper-personalization problem: how can we eliminate friction to that “need-finding”?
Could reshaping how we model human beliefs revolutionize our approach to AI and longevity?
Could we help people get healthier faster, hyper-personalized to them? (supply meets demand)
The answers to the above depend on accurately modeling belief systems.
Because it is our beliefs that shape our perceptions, that are a function of that hyper-personalization problem.
In this episode of "ABCs for Building The Future," join hosts Robert, Jonathan, and Deen as they explore the intricate dance between human belief systems and artificial intelligence.
Fresh from the "Don't Die" summit hosted by Bryan Johnson, they dive into transformative insights at the intersection of philosophy and cutting-edge technology.
Here’s What You Can Expect..
The Power of Philosophical Alignment: The episode explores how philosophical beliefs can serve as a foundation for AI systems. During a pivotal interaction with Bryan Johnson, known for his "Don't Die" philosophy focused on longevity, the team highlights the alignment of his views with the mission of Epistemic Me. "We're modeling human belief systems in a way that mirrors philosophical insights, aiming to create AI that truly understands human values," as Robert shares.
Hyper-Personalization in AI: Jonathan, Deen, and Robert discuss the potential of hyper-personalization, emphasizing its importance in creating AI that not only meets but anticipates user needs. Hyper-personalization is not just about utility but about deeply understanding belief systems to provide nuanced interactions across various industries, from health to finance.
Building a Collaborative Future: A key theme throughout the podcast is the vision of making Epistemic Me a global open-source project that empowers users and developers alike. The team envisions an ecosystem where AI development is transparent and driven by diverse, collaborative efforts, much needed in today's ever-evolving tech landscape.
Why It Matters
“How can AI understand us if we don’t fully understand ourselves?”
We solve for this by create programmatic models of self, modeling belief systems, which we believe are the basis of defense against existential risk.
In the longevity tech space, we create tools that meet users where they are, helping them make better decisions, form healthier habits, and align with their deepest values.
Can’t get enough? Check out the companion newsletter to this podcast.
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Get Involved
Epistemic Me is building the foundational tools to make this vision a reality—and we’re doing it in the open. Here’s how you can join the movement:
* Check out the GitHub repo to explore our open-source SDK and start contributing.
* Subscribe to the podcast for weekly insights on technology, philosophy, and the future.
* Join the community. Whether you’re a developer, researcher, or someone passionate about the intersection of AI and humanity, we want to hear from you.
FAQs
Q: What is Epistemic Me?
A: It’s an open-source SDK designed to model belief systems and make AI more human-aligned.
Q: Who is this podcast for?
A: Entrepreneurs, builders, developers, researchers, and anyone who’s curious about the intersection of technology, philosophy, and personal growth. If you’ve ever wondered how to align AI with human values—or just how to understand yourself better—this is for you.
Q: How can I contribute?
A: Visit epistemicme.ai or check out our GitHub to start contributing today.
Q: Why open source? A: Transparency and collaboration are key to building tools that truly benefit humanity.
Q: Why focus on beliefs in AI?A: Beliefs shape our understanding of the world. Modeling them enables AI to adapt to human nuances and foster shared understanding.
Q: How does Epistemic Me work?
A: Our open-source SDK uses predictive models to help developers create belief-driven, hyper-personalized solutions for applications in health, collaboration, and personal growth. Think of it as a toolkit for understanding how people think and making better tools, apps, or decisions because of it.
Q: How is this different from other AI tools?
A: Most AI tools are about predictions and automation. Epistemic Me is about understanding—building models that reflect the nuances of human thought and behavior. And it’s open source!
Q: How can I get involved?
A: Glad you asked! Check out our GitHub.
Q: Who can join?
A: Developers, philosophers, researchers, scientists and anyone passionate about the underpinnings of human beliefs, and interested in solving for AI Alignment.
Q: How to start?
A: Visit our GitHub repository, explore our documentation, and become part of a project that envisions a new frontier in belief modeling.
Q: Why open-source?
A: It’s about harnessing collective intelligence for innovation, transparency, and global community involvement in shaping belief-driven solutions.
P.S. Check out the companion newsletter to this podcast, ABCs for Building The Future, where I also share my own written perspective of building in the open and entrepreneurial lessons learned.
And if you haven’t already checked out my other newsletter, ABCs for Growth—that’s where I have personal reflections on personal growth related to applied emotional intelligence, leadership and influence concepts, etc.
P.S.S. Want reminders on entrepreneurship, growth, leadership, empathy, and product?
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