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This page was redesigned at the edge.

Cloudflare fetched the original article and streamed it through HTMLRewriter to apply an entirely new visual system without rebuilding the source page.

// request.cf · coarse context

A page that knows where it met you.

Only coarse request metadata is shown. This demo does not display or persist visitor IP addresses.

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Talk:Quick, Draw!

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Vandalism

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Has anyone got any suggestions about how to handle all of this vandalism? There's been a lot of it, seemingly. Almost every other recent edit is a vandalism revert. SeparateTitan92 (talk) 08:48, 15 July 2022 (UTC)Reply

Wiki Education assignment: Jour303 Editing for Digital Media

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This article was the subject of a Wiki Education Foundation-supported course assignment, between 12 January 2026 and 7 May 2026. Further details are available on the course page. Student editor(s): Not mycircus605 (article contribs). Peer reviewers: BigRedSjo, 06763557josie.

— Assignment last updated by Not mycircus605 (talk) 22:05, 30 April 2026 (UTC)Reply

Ideas for Edits

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Hello!

I was thinking of adding some context around the specific people who made "Quick, Draw!" as mentioned in this video in the "About" section on their site. I'd like to break down how the developers at Google started with training their AI to recognize symbols used in different languages and how that brought about the idea for this simple game. I also wanted to give the creators themselves credit, as the article only mentions the umbrella "Google LLC" as the creators while the site lists individual people along with the specific team that worked on this.

From their site:

"Built by Jonas Jongejan, Henry Rowley, Takashi Kawashima, Jongmin Kim, Nick Fox-Gieg, with friends at Google Creative Lab and Data Arts Team."

I would also like to find a way to incorporate their site where they showcase their dataset, here. Not mycircus605 (talk) 02:02, 6 April 2026 (UTC)Reply