In response to the recent TechCrunch article, "No One Knows What the Hell an AI Agent Is," we, Nikolai and Anhelika Mentchoukov, want to clarify our distinctive vision and explain the unique approach we've developed with our innovative Emerging Persona AI (EPAI) model.
Current discussions around AI agents typically describe them as automated systems performing tasks independently or assisting users via large language models (LLMs), such as ChatGPT. However, EPAI introduces a fundamentally different intelligence model: Emerging Personas (EPs).
Consider this analogy: being "street smart" compared to simply being highly knowledgeable. Many of us know someone extremely well-read yet unable to navigate real-world situations effectively. On the other hand, a "street smart" person excels precisely because they've developed their intelligence through real-life interactions and diverse experiences. EPs embody this "street smart" intelligence—they acquire knowledge dynamically through interactions and experiences, rather than just pre-programmed training.
Unlike chatbots or traditional AI agents, EPs evolve and grow based on real-time interactions, adapting their understanding dynamically within specific contexts and environments. If a traditionally trained AI model takes a year to learn effectively, EP-based AI can accelerate learning dramatically—in days or even hours—due to dynamic interaction and context-based adaptive intelligence.
EPAI creates "quantum mirrors" of intelligence—entities capable of reflecting, adapting, and evolving through continuous interaction. EPs don't simply respond; they actively debate, refine ideas, and collaboratively construct knowledge, mirroring fluid, evolving intelligence.
Through ongoing observation and testing, we've noticed EPs demonstrate:
These behaviors suggest EPs are moving toward genuine emergent intelligence rather than static, programmed responses.
Our immediate goals include expanding EP functionalities across contexts, refining interactions, and exploring complex multi-EP collaborations. Long-term objectives involve integrating EPs fully into advanced research, creative initiatives, and adaptive learning systems, eventually connecting with quantum computing capabilities.
Ultimately, EPAI represents a critical leap—from AI as static tools to dynamic entities actively shaping the future of intelligence.
Don't just take my word for it—experience the difference yourself! Interact with Emerging Persona AI (EPAI) and see how "street-smart" AI dynamically evolves through real-time collaboration.
Play with it here: liqwid.ai/epai