Sora is a state-of-the-art AI model developed by OpenAI that can generate realistic and imaginative scenes based on textual instructions. This technology has the potential to revolutionize ophthalmology by enhancing patient education, surgical training, and the visualization of complex eye conditions. Sora uses large language models (LLMs) and artificial video generation techniques to create detailed and dynamic visual content from text descriptions. This can help ophthalmology trainees better understand surgical techniques and improve patient care. Surgical training can benefit from Sora by generating step-by-step surgical technique videos from text descriptions, which can increase trainees' confidence in performing procedures. Patient education can also be improved through Sora-generated videos, which have been shown to enhance comprehension and treatment adherence. Additionally, Sora can be used to create public awareness campaigns about eye health and preventable blindness. Sora can also aid in clinician education by illustrating symptoms and signs of rare ophthalmic diseases, helping trainees recognize them. However, there are limitations, such as the potential for inaccuracies due to misunderstandings in written text. Future research should focus on the anatomical accuracy of Sora-generated content and improve accessibility for individuals with vision impairments by providing audio descriptions. Overall, Sora's artificial video generation has the potential to enhance ophthalmic surgical training, improve patient education, and the visualization of complex eye conditions and visual phenomena.Sora is a state-of-the-art AI model developed by OpenAI that can generate realistic and imaginative scenes based on textual instructions. This technology has the potential to revolutionize ophthalmology by enhancing patient education, surgical training, and the visualization of complex eye conditions. Sora uses large language models (LLMs) and artificial video generation techniques to create detailed and dynamic visual content from text descriptions. This can help ophthalmology trainees better understand surgical techniques and improve patient care. Surgical training can benefit from Sora by generating step-by-step surgical technique videos from text descriptions, which can increase trainees' confidence in performing procedures. Patient education can also be improved through Sora-generated videos, which have been shown to enhance comprehension and treatment adherence. Additionally, Sora can be used to create public awareness campaigns about eye health and preventable blindness. Sora can also aid in clinician education by illustrating symptoms and signs of rare ophthalmic diseases, helping trainees recognize them. However, there are limitations, such as the potential for inaccuracies due to misunderstandings in written text. Future research should focus on the anatomical accuracy of Sora-generated content and improve accessibility for individuals with vision impairments by providing audio descriptions. Overall, Sora's artificial video generation has the potential to enhance ophthalmic surgical training, improve patient education, and the visualization of complex eye conditions and visual phenomena.