Jackreece Ejini

 The most successful approach to modern AI has been the data-oriented version. Using statistical learning methods, we have created systems that can recognize, and generate information. While there are numerous benefits to these paradigms as can be seen obviously many new techniques that have become commonplace in daily life, from more accurate recommendation systems to text and image generation systems that make it easier to retrieve human knowledge in a compressed form, these methods are limited in the sense that they depend on human-generated data to be "intelligent". The main issue arises from our understanding of what intelligence requires. Our educational systems have conditioned us to think that intelligence requires the absorption and retrieval of information, and so we have created systems that do these actions to a greater or lesser degree.  If this is what we consider intelligence, then the  LLMs and image generation systems of today are the totality of what tha...