Skip to Content

Why Twitter Just Bet Big on a Magic Pony

A London-based startup called Magic Pony is developing technology that could make it easier for Twitter to stream live.
June 20, 2016

Twitter announced Monday that it is acquiring an interesting AI company called Magic Pony.

Started by several graduates from Imperial College London, Magic Pony uses large neural networks to process visual information, and it specializes in using partly unsupervised learning to conjure up images based on previous training. In other words, after feeding on lots of video footage, its algorithms can automatically fill in a patchy video feed, or increase the resolution of a pixelated video game image.

The results aren’t always perfect, because the system has no idea what it is actually creating. But usually they are good enough to fool the human eye. And so Twitter’s interest is unsurprising, given how much it is investing in live video, as well as live video processing, which requires a huge expenditure on data storage and computing power. Magic Pony’s technology might allow it to reduce the cost of streaming live video significantly.

I was lucky enough to meet with the team from Magic Pony at Nvidia’s developer conference this March, where they were demoing their technology. I was impressed by their expertise in machine learning, and their demos—especially in which they turned one of Vincent Van Gogh’s famous self-portraits into a photorealistic image of the impressionist master.

And, in case you were wondering: the company’s somewhat bizarre name came from a meeting at which an investor said the technology seemed almost too good to be true.

(Sources: Twitter, “Artificial Intelligence Can Now Design Realistic Video and Game Imagery,” “Twitter’s Artificial Intelligence Knows What’s Happening in Live Video Clips”)

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.