Truly Agentic AI cannot be built using Gen AI
Why we need Experiential AI to pave the way for true Agentic systems
Agentic AI today, makes use of AI agents which heavily rely on LLMs. So even if agents are made to collaborate, communicate with other agents, tools, databases or APIs, the outcomes they produce could often fall short due to over reliance on underlying language models.
Models suck at behaving like a human or even higher order life forms like mammals or birds. Humans can plan, think, memorize, act and make decisions. We learn by experiencing or doing and also our brains consume less energy (~20W) to perform all sorts of complex tasks and also think about other things while doing a complex task like driving, swimming or playing an instrument. Humans are also good at memorizing heaps of information and recalling quite a bit in real time with little to no context.
We also have nearly unlimited experiences of the world around us, and our experiences shape our reality. This is possible because of the functions of our brain (or mind) happen to be quick and super-efficient.
Somehow, models have not been built around the paradigm of how the human brain or mind works and efficiently computes things. Existing LLMs in contrast consume a lot of compute, capital, energy and need heavy governance for safety purposes. Most models are also centralized, stifling innovation.
We need to move on from models and find new paradigms or architectures to solve for the Agentic future.
An agentic paradigm is simple. It consumes less energy, less compute, less capital, learns by experience continually, can be governed, is safe and reliable. We also believe Agents can be decentralized or democratized rather than preferring a centralized approach.
The new approach is a type of Experiential AI and not Generative AI. The architecture can be hybrid and use Generative components but not restricted in any manner to it.
At AFCP AI we are working on a new approach for building our Agentic commerce OS based on Experiential AI. We are figuring out an artificial shopper’s mind with this approach. We believe solving an artificial shoppers’ mind will add tremendous value to commerce, consumers and businesses. It will transform commerce from the ground up, making commerce seamless and delightful with Agents doing the work for both consumers and businesses.
Instead of models, we need an artificial mind specific for cracking shopping intelligence. We believe in a divide and conquer approach to cracking AI.
We believe we need fewer chips to run our artificial shoppers’ minds. We aim to make this intelligence scalable and distributed. We want to repurpose old, discarded, or second-hand chips and servers to build and run our AI. We are also committed to powering our servers with sustainable electricity while consuming 10x less energy than model providers. By building an efficient and sustainable business, we can offer the world shopper agents that are not only affordable but also remarkably easy to build and use.
The last revolution was Generative, the new Agentic future needs an Experiential AI revolution. The way to build Agents is through Experiential AI