A Q&A with the Creators of IBM’s Watson

Reddit has a fascinating Q&A with the guys who created the machine that will one day enslave us all, AKA Watson. The most interesting part of this discussion is how Watson interacted with the buzzer. I’ve seen lots of accusation on the internetz about how unfair it was that humans were being pitted against a machine in terms of knowledge AND response time. Here’s what the creators had to say:

Jeopardy! and IBM tried to ensure that both humans and machines had equivalent interfaces to the game. For example, they both had to press down on the same physical buzzer. IBM had to develop a mechanical device that grips and physically pushes the button. Any given player however has different strengths and weakness relative to his/her/its competitors. Ken had a fast hand relative to his competitors and dominated many games because he had the right combination of language understanding, knowledge, confidence, strategy and speed. Everyone knows you need ALL these elements to be a Jeopardy! champion.

Both machine and human got the same clues at the same time — they read differently, they think differently, they play differently, they buzz differently but no player had an unfair advantage over the other in terms of how they interfaced with the game. If anything the human players could hear the clue being read and could anticipate when the buzzer would enable. This allowed them the ability to buzz in almost instantly and considerably faster than Watson’s fastest buzz. By timing the buzz just right like this, humans could beat Watson’s fastest reaction. At the same time, one of Watson’s strength was its consistently fast buzz — only effective of course if it could understand the question in time, compute the answer and confidence and decide to buzz in before it was too late.

The clues are in English — Brad and Ken’s native language; not Watson’s. Watson analyzes the clue in natural language to understand what the clue is asking for. Once it has done that, it must sift through the equivalent of one million books to calculate an accurate response in 2-3 seconds and determine if it’s confident enough to buzz in, because in Jeopardy! you lose money if you buzz in and respond incorrectly. This is a huge challenge, especially because humans tend to know what they know and know what they don’t know. Watson has to do thousands of calculations before it knows what it knows and what it doesn’t. The calculating of confidence based on evidence is a new technological capability that is going to be very significant in helping people in business and their personal lives, as it means a computer will be able to not only provide humans with suggested answers, but also provide an explanation of where the answers came from and why they seem correct.

Also, this:

Watson contains state-of-the-art parallel processing capabilities that allow it to run multiple hypotheses – around one million calculations – at the same time. Watson is running on 2,880 processor cores simultaneously, while your laptop likely contains four cores, of which perhaps two are used concurrently. Processing natural language is scientifically very difficult because there are many different ways the same information can be expressed. That means that Watson has to look at the data from scores of perspectives and combine and contrast the results. The parallel processing power provided by IBM Power 750 systems allows Watson to do thousands of analytical tasks simultaneously to come up with the best answer in under three seconds.

A Random Dude in Massachusetts

There’s a lot that’s encouraging and amusing about the fact that Detroit was able to raise enough money to erect a Robocop statue in 6 days. But my favorite bit in this NYTimes story is how this whole thing began:

The unusual fund-raising effort sprang from a question posed to Detroit’s mayor on Twitter last week by “a random dude in Massachusetts,” who proposed that the city celebrate “RoboCop” the same way Philadelphia does “Rocky,” according to the project’s Web site. The first-term mayor, Dave Bing, replied: “There are not any plans to erect a statue to RoboCop. Thank you for the suggestion.”

Hey! I’M a random dude in Massachusetts too! I can only hope that one of my off-handed tweets ends up one day capturing the nation’s imagination.

What It’s Like To Let Down Humanity

Legendary Jeopardy! contestant Ken Jennings writes on what it’s like to lose to a machine (via Linda Holmes):

Indeed, playing against Watson turned out to be a lot like any other Jeopardy! game, though out of the corner of my eye I could see that the middle player had a plasma screen for a face. Watson has lots in common with a top-ranked human Jeopardy! player: It’s very smart, very fast, speaks in an uneven monotone, and has never known the touch of a woman. But unlike us, Watson cannot be intimidated.

She Married a Murderer

Amy Friedman has written an article for every one of us who’s ever heard of a woman marrying a convict in prison and wondered, “What was she thinking?”

I don’t regret it, but being married to Will was hard and painful. Being a prisoner’s wife requires mighty resistance — to the mind-numbing, bureaucratic prison system itself, but even more, to those who so casually dismiss us as less than, those who see us not as people who deserve support and respect but who deserve contempt.

It’s a touching, well-written piece that certainly does a lot to inform my conception of these marriages. But I feel like the story was just getting interesting right as it was ending. Still, worth your time.

When They’re Gone, But Not Yet Passed

Lillian B. Rubin has written a heartbreaking account of what it’s like to live with her husband who suffers from severe dementia:

[M]ourning a real death is quite different from mourning a living one. Whatever one believes about death — it’s a passage into a kinder world, it’s entry into nothingness, or anything in between — it’s still an undeniable fact. Death is finite; life, as we know it, is over. Yes, I know, people awaken with visions of visitations, but eventually we come to accept death as an end to life. But when the brain dies and leaves the body intact, there is no end.

Steve Jobs: Hope for a Secular World

I really love this essay by Andy Crouch about the hope that Steve Jobs brings to the world. Jobs, you may know, recently took a medical leave of absence for an indefinite period of time. Crouch speculates on what the world would be like if he never returned:

Steve Jobs’s medical leave of absence is the top story in today’s newspapers. The Wall Street Journal says his brief and poignant memo raises “uncertainty over his health and the future of the world’s most valuable technology company.” These two questions—Jobs’s health and Apple’s health—are the focus of almost all the coverage today. But I’m interested in the health of our culture, and what will happen to it when (not if) Steve Jobs departs the stage for the last time.

As remarkable as Steve Jobs is in countless ways—as a designer, an innovator, a (ruthless and demanding) leader—his most singular quality has been his ability to articulate a perfectly secular form of hope. Nothing exemplifies that ability more than Apple’s early logo, which slapped a rainbow on the very archetype of human fallenness and failure—the bitten fruit—and made it a sign of promise and progress.