Everybody’s raving about Apple’s new virtual assistant, called Siri, and for good reason.
The New York Times’ David Pogue called Siri "crazy good, transformative, category-redefining” and “unbelievable."
The Wall Street Journal’s Walt Mossberg wrote that Siri “has to be tried to be believed.”
Siri represents a massive breakthrough in consumer-friendly artificial intelligence (A.I.). Apple’s Siri is the product and technology that will make A.I. and virtual assistants mainstream in the same way that the original iPhone mainstreamed touch interfaces.
Friday, when Siri first becomes available on the iPhone 4s, we enter an entirely new phase of personal computing, one that has been depicted in countless sci-fi books and movies: We talk to the computer, and the computer goes and does things for us and talks back to us in a human-like voice.
So buy an iPhone 4s, if you’re so inclined. And enjoy it. But don’t get used to it. Eventually, you’ll fire Siri and hire Google as your all-purpose A.I. personal assistant. Here’s why.
It’s all about data
The biggest problem tackled by Siri is the A.I. part. Understanding random, colloquial human speech, placing input in context, and taking action on user requests -- these are very hard problems that Siri does better than anything on the market.
Siri is better than Google Voice Actions for Android, for example, a comparable and also impressive technology that launched in August of 2010. Siri recognizes better, responds better and is able to take more actions on behalf of the user. It’s also integrated more completely into the iPhone and its applications and services than Voice Actions is on Android phones.
But don’t let this temporary superiority lead you astray. The A.I. wars have just begun. And Google will ultimately prevail.
In the future, more people will find things out by talking to their virtual assistant than “Googling it.” And that’s why Google’s survival as a company depends upon transforming its Search service into the core data set for A.I. virtual assistants.
Siri, in short, is a frontal assault on Google’s core business -- advertiser supported search.
But eventually, human-like A.I. will be commonplace. Google, Microsoft and others will develop increasingly better A.I. Other companies will build A.I. and license it promiscuously.
In other words, Siri’s most impressive feats will become a banality within a year or two. Excitement about what Siri can do will be replaced by frustration about what Siri cannot do.
For example, the Siri of today can’t do anything with the following requests: “What should I buy my niece for her birthday?,” “Show me that web site about GPS dog collars I was looking at last week,” and “who should I hire as marketing manager?”
More importantly, Siri won’t be able to take the initiative by saying things like: “You told Paul you’d respond by October, so here’s a gentle reminder,” “I think you might want to have your car serviced,” or “I want to recommend a new book to you.”
These actions require data. And Google already has it.
Google already knows who your niece is and what her interests are. They know your web browsing history and what marketing people in your area are both looking for work and highly recommended. Google knows what you say on email, where you go and what you like to read.
But the collection of data is only one of Google’s unmatched strengths. The company is also very good at doing useful things with data -- including predicting things. Let me give you one small example.
A few years ago, Google wanted to minimize “brain drain” -- losing employees to rival companies. So they created an algorithm based on data about performance reviews, pay raises, promotion histories and other HR type data, and were able to predict which of their employees were most likely to quit -- and when. The system enables them to intervene before losing staff.
No major consumer-facing company in the world is as good as Google at turning massive data sets into meaningful information, including predictions. It’s in their DNA.
Another core competency of Google’s is learning via user behavior. Here’s just one very cool example. You know those CAPTCHA things that demand that you prove you’re human and not some spambot? Google acquired one years ago that was developed at Carnegie Mellon University. Called reCAPTCHA, the service performs double duty. It verifies that logins are being done by humans, and it also crowd-sources scanned words.
For years, Google has been scanning every page of millions of books, newspapers and magazines. Their optical character recognition (OCR), the technology that looks at a picture of a word and figures out what the word is, works great.