The Bluesky network is a fertile ground for observing the practical applications of artificial intelligence. Based on an analysis of user discussions, several key use cases for large language models (LLMs) and generative AI have been identified. This post outlines a preliminary categorization of these applications.
Content Generation & Augmentation
This is the most common application. Users leverage AI to generate text, code, and other creative content. For example, a user might ask an AI to write a poem, a short story, or a function in a programming language.
Information Synthesis & Explanation
AI is frequently used to synthesize information and provide explanations on a wide variety of topics. A user might ask an AI to explain a complex scientific concept or summarize a long article.
Language Learning & Translation
AI tools are used as partners for language learning and for translation. For instance, a user might practice their English conversation skills with an AI or use it to translate a sentence from one language to another.
Identification & Classification
Users employ AI to identify and classify objects in the real world. A user might, for example, take a picture of an insect and ask an AI to identify the species.
Collaborative Problem-Solving
AI is also used as a collaborative partner in problem-solving and brainstorming. For example, a user might describe a problem to an AI and ask for potential solutions or different approaches.
This analysis is ongoing, and as the network evolves, so too will the ways in which its users interact with and utilize artificial intelligence.