Skip to Content
Uncategorized

Is 4Chan Founder’s Canvas the Next Twitter?

Canvas is different enough that its success or failure is beyond any pundit’s predictive power
September 6, 2011

Canvas, the image sharing-and-remix site built by the founder of infamously freewheeling Internet hangout / message board 4chan (picture Mos Eisley Cantina, but with more porn) is not the next Twitter. (“The next Twitter” would be Instagram. But I digress.)

But that doesn’t really matter, because Canvas is something pretty interesting all on its own: A super slick, super fast way to share and remix images in the childish, bizzaro-to-anyone-older-than-18 way that is so popular among all those young people who will some day control the nukes. Just a brief visit to the site will reveal a visual chaos not seen since the heydey of MySpace, and that’s deliberate: Canvas is for creating and sharing visual messages, memes and jokes.

The difference between Canvas and other sites like it is simply that Canvas is really, really good. It’s so fast and easy that it made me wish it was a little more amenable to conventional image editing tasks, the kind that bloggers like myself perform over and over again until we’re rheumy-eyed and wishing we’d stuck with the medschool track.

Canvas is so foreign to conventional social networks – it includes features like groups, replies, and badges / points – that it’s impossible to tell in advance if it will take off. Tumblr was like that too – seemed like just another blogging site, until its social features made it go viral. So here, in the spirit of the general chaos that Canvas borrows from 4chan but has hopefully sanitized for a wider audience (Canvas requires a Facebook login to force people to keep their posts clean) is the core of my review of the site:

This took about 2 minutes on Canvas

You’re welcome. Feel free to add your own reply here.

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

The problem with plug-in hybrids? Their drivers.

Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

How scientists traced a mysterious covid case back to six toilets

When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.