Skip to Content
Uncategorized

EmTech: Some Wisdom from Joi Ito

The head of MIT’s Media Lab extols the benefits of being a “now-ist.”
October 25, 2012

On stage at MIT Technology Review’s EmTech conference this morning, MIT Media Lab director Joi Ito was asked a great question from a member of the audience: what will be the three most important technological trends in the next few years?

Ito had an even better answer: essentially, today’s trends don’t matter.

“I’m going to give you a nonanswer,” Ito said. “I don’t really believe in futurists. I don’t believe in the ability of people to predict the future that well. We usually get it wrong.”

Earlier in his discussion on stage with Jason Pontin, Ito had said that because the Internet and computing have made it much easier for small startups to create innovative products and services, the world has gotten more complex. With more innovation happening at “the edges,” out of the control of large institutions, life is less predictable. So the audience member’s question gave Ito a chance to explain how this phenomenon affects his worldview.

“I’m a now-ist,” he said.” Now-ists “don’t think about trends. We think about being resilient and being prepared for anything.” As an example, he cited last year’s massive earthquake and nuclear disaster in his native Japan, which struck while he was in Cambridge interviewing for the Media Lab job. In the aftermath of the quake, “everyone with a plan failed,” Ito observed. Meanwhile, using Twitter and other online connections, Ito was able to quickly organize a response to the nuclear crisis: a volunteer operation that coordinated Geiger counter readings from volunteers all over Japan.

The lesson: be agile and be willing to try new things, even if it means discarding the way things have always been done before.

“I think that the most interesting things that are going to happen in the next couple of years,” he said, “are things that we don’t know.”

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.