TY - JOUR
T1 - Unleashing GPT on the Metaverse
T2 - Savior or Destroyer? [Point of View]
AU - Zhou, Peng Yuan
PY - 2024
Y1 - 2024
N2 - Incorporating artificial intelligence (AI) technology, particularly large language models (LLMs), is becoming increasingly vital for developing immersive and interactive metaverse experiences. GPT, a representative LLM developed by OpenAI, is leading LLM development and gaining attention for its potential in building the metaverse. This article delves into the pros and cons of utilizing GPT for metaverse-based education, entertainment, personalization, and support. Dynamic and personalized experiences are possible with this technology, but there are also legitimate privacy, bias, and ethical issues to consider. This article aims to help readers understand the possible influence of GPT, according to its unique technological advantages, on the metaverse and how it may be used to effectively create a more immersive and engaging virtual environment by evaluating these opportunities and obstacles.
AB - Incorporating artificial intelligence (AI) technology, particularly large language models (LLMs), is becoming increasingly vital for developing immersive and interactive metaverse experiences. GPT, a representative LLM developed by OpenAI, is leading LLM development and gaining attention for its potential in building the metaverse. This article delves into the pros and cons of utilizing GPT for metaverse-based education, entertainment, personalization, and support. Dynamic and personalized experiences are possible with this technology, but there are also legitimate privacy, bias, and ethical issues to consider. This article aims to help readers understand the possible influence of GPT, according to its unique technological advantages, on the metaverse and how it may be used to effectively create a more immersive and engaging virtual environment by evaluating these opportunities and obstacles.
KW - Education
KW - entertainment
KW - GPT
KW - large language models (LLMs)
KW - metaverse
KW - personalization
KW - support
UR - http://www.scopus.com/inward/record.url?scp=85213428214&partnerID=8YFLogxK
U2 - 10.1109/JPROC.2024.3462604
DO - 10.1109/JPROC.2024.3462604
M3 - Journal article
AN - SCOPUS:85213428214
SN - 0018-9219
VL - 112
SP - 1572
EP - 1582
JO - Proceedings of the IEEE
JF - Proceedings of the IEEE
IS - 10
ER -