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2. Viral video - Wikipedia

   en.wikipedia.org/wiki/Viral_video

   Modern viral videos tend to come from TikTok (rebrand of Musical.ly since 2018) and Instagram (2012) , TikTok hosts short form content in a portrait format, these short videos are often meant to be humorous, while others focus mainly on music, viral videos commonly came from music related short videos and popular dances, TikTok was a large ...

3. OpenAI releases AI video generator Sora to all customers - AOL

   www.aol.com/openai-releases-ai-video-generator...

   OpenAI releases AI video generator Sora to all customers. James Powel and Julia Gomez, USA TODAY. December 9, 2024 at 7:14 PM.

4. List of viral videos - Wikipedia

   en.wikipedia.org/wiki/List_of_viral_videos

   The video was one of the earliest examples of a viral video posted on YouTube, having received 23 million hits within 2 weeks of posting in mid-2006, and was marked as an example of low budget, user-generated content achieving broadcast television-sized audiences. [64] [65]

5. List of Internet phenomena - Wikipedia

   en.wikipedia.org/wiki/List_of_Internet_phenomena

   This is a dynamic list and may never be able to satisfy particular standards for completeness. You can help by adding missing items with reliable sources. Internet An Opte Project visualization of routing paths through a portion of the Internet General Access Activism Censorship Data activism Democracy Digital divide Digital rights Freedom Freedom of information Internet phenomena Net ...

6. Sora (text-to-video model) - Wikipedia

   en.wikipedia.org/wiki/Sora_(text-to-video_model)

   Sora is a text-to-video model developed by OpenAI. The model generates short video clips based on user prompts, and can also extend existing short videos. Sora was released publicly for ChatGPT Plus and ChatGPT Pro users in December 2024. [1] [2]

7. Text-to-video model - Wikipedia

   en.wikipedia.org/wiki/Text-to-video_model

   By utilizing a pre-trained image diffusion model as a base generator, the model efficiently generated high-quality and coherent videos. Fine-tuning the pre-trained model on video data addressed the domain gap between image and video data, enhancing the model's ability to produce realistic and consistent video sequences. [14]