Skip to Content

Artificial common sense: what it takes to get AI to actually understand

February 5, 2020
Man on stage at EmTech Digital
Man on stage at EmTech Digital

It may be difficult for us to imagine a world in which AI creates architectural drawings or controls robotics to perform medical surgeries.  However, it was once unfathomable that a computer could beat a human at chess or drive a car autonomously.  How far away are we from artificial general intelligence, and what obstacles must be overcome to get us there?

Explore in greater depth the complex issues around robust AI and the road to AGI at EmTech Digital next month in San Francisco.

Learn more.

Deep Dive

Artificial intelligence

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.

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.

What’s next for generative video

OpenAI's Sora has raised the bar for AI moviemaking. Here are four things to bear in mind as we wrap our heads around what's coming.

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.