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  2. Deepfake - Wikipedia

    en.wikipedia.org/wiki/Deepfake

    Photo manipulation was developed in the 19th century and soon applied to motion pictures. Technology steadily improved during the 20th century, and more quickly with the advent of digital video . Deepfake technology has been developed by researchers at academic institutions beginning in the 1990s, and later by amateurs in online communities.

  3. Subways Are Their Own Separate World And These 50 Photos ...

    www.aol.com/88-times-people-just-had-060631649.html

    Alternatively, if you want a more candid, honest, and 'raw' photo, there's merit to taking a photo without anyone knowing. A lot depends on your philosophy as a photographer. #28 Showtime, Folks.

  4. Help:Talk pages - Wikipedia

    en.wikipedia.org/wiki/Help:Talk_pages

    The talk page associated with a page in another namespace is named by adding "talk" after the namespace label; for example, the talk page for Wikipedia:About is called Wikipedia talk:About. When viewing an article (or any other non-talk page) on the Wikipedia, a link to the corresponding talk page appears on the "Talk" tab at the top of the page.

  5. Photograph manipulation - Wikipedia

    en.wikipedia.org/wiki/Photograph_manipulation

    Photo manipulation has been used in advertisements for television commercials and magazines to make their products or the person look better and more appealing than how they look in reality. [62] Some tricks that are used with photo manipulation for advertising are: fake grill marks with eye-liner, using white glue instead of milk, or using ...

  6. AOL Help

    help.aol.com

    Get answers to your AOL Mail, login, Desktop Gold, AOL app, password and subscription questions. Find the support options to contact customer care by email, chat, or phone number.

  7. Dream Machine (text-to-video model) - Wikipedia

    en.wikipedia.org/wiki/Dream_Machine_(text-to...

    Dream Machine is a text-to-video model created by Luma Labs and launched in June 2024. It generates video output based on user prompts or still images. Dream Machine has been noted for its ability to realistically capture motion, while some critics have remarked upon the lack of transparency about its training data.

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