Pioneering the Future of First-Principles AI

In 2023, Gartner’s AI Hype Cycle recognized First-Principles AI (FPAI) as an innovative emerging technology. Unlike generative AI, FPAI is grounded in the fundamental principles underlying the physical laws that govern self-organization in biological adaptive systems like brains. Consequently, FPAI offers inherent advantages over regular generative AI, such as the absence of uncorrected hallucinations, explainability, and real-time adaptation to a changing environment. In short, the robust scientific foundation of FPAI will unlock the potential for self-organizing AI agents to venture into the world, assisting in problem-solving as situations unfold under real-world conditions.

Need

AI breakthroughs have always been critically supported by the availability of the right infrastructure and software engines. For instance, Computer Vision technology surged ahead through the availability of OpenCV , and more recently, the breakthroughs in Generative AI would not have been possible without services like Azure , AWS , HuggingFace and the right toolboxes such as TensorFlow and PyTorch . Similarly, a powerful, user-friendly toolbox that supports the development of deployable FPAI agents is needed to propel FPAI to a mature and impactful technology. Lazy Dynamics is committed to providing the tools and knowledge that will enable a broad community to develop cutting-edge deployable FPAI agents.

Vision

Supporting the need for FPAI agents that are immersed in their environments, Lazy Dynamics’ support stack focuses on four key aspects: smart data selection, low-power operation, real-time processing and structural model adaptation. Departing from traditional dependencies on large datasets, we prioritize support for agents that extract maximum insights from minimal, relevant data sets that are selected on-the-fly. Our approach, inspired by Reactive Principles and the physics of the Free Energy Principle , ensures robust and efficient real-time processing. As outlined in a recent key research paper , this strategy guarantees that our FPAI agents are equipped to thrive throughout their lifespan in dynamic and unpredictable real-world environments.

Mission

Lazy Dynamics is dedicated to fostering strong partnerships with experts and enthusiasts in the field of FPAI. We plan to leverage RxInfer to develop intelligent FPAI agents for real-world applications. Our immediate strategy involves initiating pilot projects with select clients to showcase the practicality and strengths of our approach. Concurrently, we intend to keep collaborating with the academic BIASlab research team to enhance the research version of RxInfer, nurturing a vibrant community of innovators and researchers in typical application fields such as immersive hearing technology, autonomous drones, safe robotics and smart cities. This dual approach underscores our mission to advance technology through collaboration and practical innovation.

Benefits

Lazy Dynamics is set to create RxInfer-Pro, a professional, licensed version of the toolbox designed for companies and individuals that aim to develop and deploy cutting-edge FPAI agents. This premium version will emphasize facilitating real-time inference and advanced lifelong structural adaptation for agents deployed in the field. We firmly believe that the true potential and optimization of FPAI models can only be realized through direct field applications, where dynamic real-world data and conditions serve to test and refine the FPAI agent’s capabilities.

Timeline