Google didn’t change much when it ripped off Amazon’s idea of making a compact home speaker with a voice-activated assistant inside.
Just like Amazon’s Echo, Google Home, released today, has microphones tuned to hear from across the room. Both devices can be asked to cue up music on Spotify and other services, set alarms and timers, and pose factual queries. And both companies say their devices will gain powers as other companies integrate their services, letting you do things like order takeout from your couch.
But Google has a crucial advantage in the race to prove out that idea. It’s been working on technology that answers people’s questions for a long time, and has invested more heavily in machine learning than its rivals.
Early reviews suggest that advantage is already apparent. People who compared Echo, and its Alexa assistant, with Google Home found the latter to be significantly better at understanding language and answering questions.
The New York Times’ reviewer describes Google Home as “preternaturally smarter.” The Verge’s sums it up like this: “Home has something that the Echo doesn’t: a wealth of knowledge about the world, my personal preferences, and my habits.”
That doesn’t mean Google is about to prove the thesis that an intelligent speaker can become a universal helper and companion.
Like Echo, Google Home performs well at only certain things, like controlling music. It doesn’t plug into many other devices or services yet. And just like Amazon’s product, it is limited by being tied to a single account and unable to recognize individuals, preventing customized responses that draw on a person’s other data.
Google’s determination to make its assistant the future of search on mobile, too, and its investments in machine learning give it a better shot at solving those limitations. And Amazon knows it. The company is investing in machine learning research and is even considering unusual ideas such as giving Alexa the ability to recognize emotions.
The contest between the two companies—perhaps to be joined by Apple—could produce a much needed jump in the power of virtual assistants. They have become much more polished since Siri was first launched in 2009, but have yet to attain the power and flexibility needed to make them a dominant way to interact with computers.
DeepMind’s cofounder: Generative AI is just a phase. What’s next is interactive AI.
“This is a profound moment in the history of technology,” says Mustafa Suleyman.
What to know about this autumn’s covid vaccines
New variants will pose a challenge, but early signs suggest the shots will still boost antibody responses.
Human-plus-AI solutions mitigate security threats
With the right human oversight, emerging technologies like artificial intelligence can help keep business and customer data secure
Next slide, please: A brief history of the corporate presentation
From million-dollar slide shows to Steve Jobs’s introduction of the iPhone, a bit of show business never hurt plain old business.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.