A new research paper published on arXiv traces the development of OpenAI's GPT series from GPT-3 to GPT-5, analyzing their growing capabilities, expanding scope, inherent limitations, and broader consequences.
The paper, authored by Hina Afridi, Habib Ullah, Sultan Daud Khan, and Mohib Ullah, provides a comprehensive mapping of how each generation has pushed the boundaries of natural language processing.
"Each iteration brings significant improvements in reasoning, context understanding, and task completion," the authors note, "but also introduces new challenges around safety, bias, and computational cost."
The study highlights GPT-5's ability to handle multimodal inputs, produce more coherent long-form content, and demonstrate emergent reasoning, while also warning about potential misuse and the environmental impact of training ever-larger models.