Sora, an advanced AI model developed by OpenAI, has the capability to generate realistic and imaginative scenes based on textual instructions. This technology, built on Large Language Models (LLMs) and artificial video generation techniques, can revolutionize various fields, including ophthalmology. In ophthalmology, Sora can enhance patient education, surgical training, and the visualization of complex eye conditions. It can generate detailed visual simulations from textual descriptions, improving understanding and teaching of intricate ophthalmic concepts. Additionally, Sora can provide step-by-step surgical technique videos, which have been shown to increase confidence among surgical trainees. For patient education, video-based media can improve comprehension and empower patients with conditions like glaucoma. Public awareness campaigns can also benefit from Sora, helping to educate the general public about eye health and preventable vision impairments. However, limitations include potential inaccuracies in video generation and the need for anatomical accuracy. Future research should focus on improving accessibility and accuracy of AI-generated content. Overall, Sora has the potential to significantly enhance ophthalmic care and education.Sora, an advanced AI model developed by OpenAI, has the capability to generate realistic and imaginative scenes based on textual instructions. This technology, built on Large Language Models (LLMs) and artificial video generation techniques, can revolutionize various fields, including ophthalmology. In ophthalmology, Sora can enhance patient education, surgical training, and the visualization of complex eye conditions. It can generate detailed visual simulations from textual descriptions, improving understanding and teaching of intricate ophthalmic concepts. Additionally, Sora can provide step-by-step surgical technique videos, which have been shown to increase confidence among surgical trainees. For patient education, video-based media can improve comprehension and empower patients with conditions like glaucoma. Public awareness campaigns can also benefit from Sora, helping to educate the general public about eye health and preventable vision impairments. However, limitations include potential inaccuracies in video generation and the need for anatomical accuracy. Future research should focus on improving accessibility and accuracy of AI-generated content. Overall, Sora has the potential to significantly enhance ophthalmic care and education.