  As ChatGPT possesses powerful capabilities in natural language processing and
code analysis, it has received widespread attention since its launch.
Developers have applied its powerful capabilities to various domains through
software projects which are hosted on the largest open-source platform (GitHub)
worldwide. Simultaneously, these projects have triggered extensive discussions.
In order to comprehend the research content of these projects and understand
the potential requirements discussed, we collected ChatGPT-related projects
from the GitHub platform and utilized the LDA topic model to identify the
discussion topics. Specifically, we selected 200 projects, categorizing them
into three primary categories through analyzing their descriptions: ChatGPT
implementation & training, ChatGPT application, ChatGPT improvement &
extension. Subsequently, we employed the LDA topic model to identify 10 topics
from issue texts, and compared the distribution and evolution trend of the
discovered topics within the three primary project categories. Our observations
include (1) The number of projects growing in a single month for the three
primary project categories are closely associated with the development of
ChatGPT. (2) There exist significant variations in the popularity of each topic
for the three primary project categories. (3) The monthly changes in the
absolute impact of each topic for the three primary project categories are
diverse, which is often closely associated with the variation in the number of
projects owned by that category. (4) With the passage of time, the relative
impact of each topic exhibits different development trends in the three primary
project categories. Based on these findings, we discuss implications for
developers and users.
