AI represents a new category of computing, distinct from traditional computers. While traditional computers process structured information through defined algorithms, AI processes unstructured information, simulating intuitive reasoning. Both types of computers organize storage based on access speed, capacity, and cost, but their components differ. Traditional computing relies on CPU registers, RAM, and disk storage, whereas AI utilizes transformer attention heads, context windows, and retrieval data. Future advancements in AI will require a cohesive integration of these components, enhancing memory hierarchies for better speed, cost, and reliability. Currently, AI systems like large language models (LLMs) utilize tools and retrieval linearly, but future iterations will enable continuous tool use and automated context management through AI kernels. This evolution raises questions regarding the nature of programming in AI and how it will differ from conventional software development, inviting exploration of new possibilities in AI program creation.
Source link
Share
Read more