I indexed Yann LeCun's A Path Towards Autonomous Machine Intelligence with Weaviate hooked into OpenAI and then asked it about code that lives: > It seems that

I indexed Yann LeCun's A Path Towards Autonomous Machine Intelligence with Weaviate hooked into OpenAI and then asked it about code that lives: > It seems that you are interested in some form of artificial coding strategies that could live or persist in some way. There are a number of research papers which explore this concept. For example, the articles "Robust coding over noisy overcomplete channels", "Emergence of simple-cell receptive field properties by learning a sparse code for natural images", and "Learning latent dynamics for planning from pixels" have been published in IEEE Transactions on Image Processing, Nature, and arXiv respectively. > More generally, the idea of coding has been a prominent concept in cognitive science, neuroscience, and artificial intelligence research. In the brain, the pre-motor cortex is responsible for storing and coordinating motor plans, while principles such as efficient coding, predictive coding, and self-supervised learning are closely related. > In robotics, the design of the intrinsic cost module determines the behavior of the agent, and its energy output can integrate feelings of pleasure, pain, hunger, curiosity, and exploration. Meanwhile, the world model module is capable of making predictions about the potential future state of the object being modelled. Finally, writable memory can be used to maintain the state of the world in cases where an agent's action only change a portion of the environment.