Mental Notes 01 - Synthetic Species
How To Create A Synthetic Species With AI, Robotics, and Bio Spatial Environments.
Introduction
We are witnessing the convergence of technologies that collectively form the foundation for a new synthetic species. This process, which we can term "Cybernetic Biosynthesis," represents a paradigm shift in our understanding of life, cognition, and embodiment.
Synthetic Brain: AI and NLP Systems
Overview:
The synthetic brain serves as the cognitive nucleus of this new species, powered by a integration of artificial intelligence, natural language processing (NLP), advanced computer vision, and computational neuroscience to emulate and enable robust cognitive capabilities and adaptive intelligence.
Components and Development:
Human Brain Emulation: We study and emulate the electrochemical processes and cognitive functions of the human brain. Current research in computational neuroscience provides models for understanding these processes at a granular level, including synaptic plasticity, neural coding, and network dynamics.
Translating to NLP: These cognitive processes are translated into natural language representations. Advances in NLP, such as transformers and large language models, facilitate the conversion of complex cognitive tasks into machine-understandable formats.
Mathematical Formulas: Programmable mathematical models are developed to replicate these cognitive processes. This involves creating algorithms that can simulate neural networks, decision-making processes, and other cognitive functions.
Machine Learning Integration: Machine learning, particularly deep learning, is employed to refine these models continuously. Techniques such as reinforcement learning and unsupervised learning help these systems improve autonomously.
Neural Capacity Customization:
Programmable Intelligence: Neural architectures are designed with varying capacities, allowing for customization based on specific programming needs.
Token Limitations and Parameters: Cognitive tokens and capabilities can be restricted to tailor the intelligence of synthetic beings. This ensures control over their functionalities and prevents unwanted behaviors.
Synthetic Body: Robotic Chassis
Overview:
The synthetic body provides the physical hardware that houses the synthetic brain, facilitating seamless interaction with the physical world and allowing the species to engage with its environment in dynamic and ergonomic ways.
Components and Development:
Advanced Robotics:
Mechanical Design: Robotics companies like Figure and Apptronik are developing advanced robotic bodies with high degrees of freedom, sophisticated actuators, and sensors.
Biomimetic Engineering: Drawing inspiration from biological organisms, these robotic chassis are designed to mimic human-like movements and capabilities.
Integration with AI:
Embedded Systems: AI operating systems are embedded within these robotic bodies, allowing for seamless integration and operation.
Real-time Processing: Advances in real-time processing and edge computing enable these robots to process information and react instantaneously.