Blab Droids -- Self-Learning Social Cloud Robots: Alex Reben at TEDxBeaconStreet
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0:16 - 0:19So, we're becoming evermore
integrated with technology. -
0:19 - 0:20It's everywhere.
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0:20 - 0:22But technology is really
what we make of it. -
0:23 - 0:26And, we should really
bring it to the next level. -
0:27 - 0:29And I think the way we can do this,
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0:29 - 0:32is ask the question,
"how can technology learn from us?" -
0:32 - 0:34And the way it can learn from us,
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0:34 - 0:35is that we can teach it.
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0:35 - 0:36We can teach about humanity.
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0:36 - 0:39And by doing so,
it can make us more human. -
0:39 - 0:42Lack of understanding
knowledge and empathy, -
0:42 - 0:45is the root cause
of many human problems. -
0:45 - 0:47And I believe we could use technology,
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0:47 - 0:49to increase our level of understanding.
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0:49 - 0:51We can get knowledge from places
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0:51 - 0:53like the Internet,
but the Internet in itself -
0:53 - 0:55is not inquisitive.
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0:56 - 0:57These are the BlabDroids.
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0:57 - 1:01And they are robots created
to learn about people. -
1:01 - 1:03And they do this by going around,
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1:03 - 1:05and asking people questions,
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1:05 - 1:08as most of us do when we want to learn.
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1:08 - 1:10And you can see they are very cute,
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1:10 - 1:13and made to be very friendly.
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1:13 - 1:15Because if you want to have
a relationship with a robot, -
1:15 - 1:16it better be pretty nice .
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1:16 - 1:18(Laughter)
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1:18 - 1:20So, next you'll see a couple of examples
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1:20 - 1:21of the BlabDroids asking some people
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1:21 - 1:24somewhat difficult questions.
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1:25 - 1:27Robot: if you could give someone any gift,
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1:27 - 1:29what would it be?
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1:29 - 1:32Woman: Give my mother the gift
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1:32 - 1:35of not worrying about me
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1:36 - 1:37before she dies.
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1:38 - 1:40And she wants me to lose,
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1:40 - 1:41like a ton of weight,
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1:41 - 1:43and get really really healthy.
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1:44 - 1:46And she needs to see that,
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1:47 - 1:48before she dies,
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1:48 - 1:52For her to feel like I am going
to be Ok when she is not here, -
1:52 - 1:54and I wish I could give her that.
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1:54 - 1:56And I am not positive I can.
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1:58 - 1:59You asked!
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2:01 - 2:04Robot: if you died tomorrow,
what would you regret the most? -
2:05 - 2:08Woman: I switched out her shampoo
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2:08 - 2:11for a Nair hair remover
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2:11 - 2:12when she wasn't looking,
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2:12 - 2:16and clumps of her hair fell out.
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2:16 - 2:18I felt like she deserved it,
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2:18 - 2:20it's very much still justified .
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2:21 - 2:23And I would do it again to her
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2:23 - 2:24in a heartbeat.
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2:24 - 2:25I still don't like her.
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2:25 - 2:26So these are the types of things
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2:26 - 2:28that you may not tell a person
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2:28 - 2:31who is coming up to you with questions,
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2:31 - 2:36but the robots in fact got those answers.
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2:36 - 2:37So, the ideas are these robots will become
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2:37 - 2:42a tangible manifestation
of cloud intelligence -
2:42 - 2:44that can both learn and teach.
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2:44 - 2:45And as I said before,
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2:45 - 2:48the Internet in itself
doesn't necessarily learn, -
2:49 - 2:51but these robots can be made in a way
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2:51 - 2:55that we want to interact with them
on a very high level. -
2:55 - 2:58Think of them as if you had
a dog in your house -
2:58 - 2:59that asked you questions,
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2:59 - 3:02but you could also ask it questions.
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3:03 - 3:04So how do we make
something like this happen? -
3:04 - 3:07Well the first step is making it,
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3:07 - 3:08and we partnered with a few people like
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3:08 - 3:10Dragon innovation to do manufacturing
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3:10 - 3:12and bolt to form a company around us.
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3:14 - 3:15The idea is that these Robots,
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3:15 - 3:18will connect to the cloud
through your cell phone -
3:18 - 3:19using bluetooth.
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3:19 - 3:21So we're all carrying around
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3:21 - 3:22these devices in our pockets
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3:22 - 3:24that are basically very smart computers,
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3:24 - 3:26and they also have network connectivity.
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3:27 - 3:29So, we can do things with a robot like,
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3:29 - 3:30asking simple questions,
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3:30 - 3:31you know, will it rain?
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3:31 - 3:33The robot would say, yeah, it might rain,
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3:33 - 3:35you may want an umbrella.
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3:35 - 3:37But asking it more
difficult questions like, -
3:37 - 3:38are we alone in the universe,
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3:38 - 3:40or things of that sort,
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3:40 - 3:41Need a bit more of a human touch
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3:41 - 3:46than things like Google or Wolfram Alpha,
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3:46 - 3:49or things of that sort,
may have a hard time answering. -
3:49 - 3:50And one way to do this
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3:50 - 3:52is use cloud knowledge
and cloud intelligence. -
3:52 - 3:55So say you have
a question for BlabDroid, -
3:55 - 3:57and it isn't one of
the simple things like, -
3:57 - 4:00do I have a meeting
scheduled for tomorrow? -
4:00 - 4:03It might say, "Well, gee!
I don't know I'll ask my friends." -
4:03 - 4:05So the robot then accesses the cloud,
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4:05 - 4:07and talks to all his other
BlabDroid buddies -
4:08 - 4:10and asks them, "hey,
does your human know -
4:10 - 4:12something about this person's question?"
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4:12 - 4:15They may say, "Yes, let me contact them."
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4:15 - 4:17But as you can see,
some of these guys are a little busy -
4:17 - 4:19but a couple of them
may have a good idea. -
4:19 - 4:23So these people can
tell the robot the answer, -
4:23 - 4:25either by looking up or
maybe they're an expert in the field. -
4:25 - 4:28And that knowledge
can be returned to that robot. -
4:28 - 4:32And at the same time,
that knowledge can be saved online -
4:32 - 4:35in this sort of emergent intelligence
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4:34 - 4:38where, OK, the robot couldn't find it
through traditional means, -
4:38 - 4:40now it's stored that human knowledge.
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4:40 - 4:43So imagine like,
a Robot asking grandma -
4:43 - 4:45what her favorite cookie recipe is.
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4:45 - 4:47That's something that might have been
lost to time in the past. -
4:47 - 4:52But by using these social
interfaces that can be stored. -
4:52 - 4:54And there are obviously things right now
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4:54 - 4:55where you can talk to your cell phone,
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4:55 - 4:57and talk to other things where
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4:57 - 4:59you can ask it questions
and they'll give you answers, -
4:59 - 5:01but the primitive parts for our brains
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5:01 - 5:03don't think cell phones are alive,
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5:03 - 5:04even if they had voices because
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5:04 - 5:07they're not persistent beings,
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5:07 - 5:10they're not objects that always stay
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5:10 - 5:15alive, in a way, where, a robot,
a robot in itself is a physical form, -
5:15 - 5:18so even though it is connected
to this cloud intelligence, -
5:18 - 5:22it's something that our brains
perceive as alive, -
5:22 - 5:24and the way you want to do this,
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5:24 - 5:27is that we want them
to be very fun and playful, -
5:27 - 5:28so you want to talk to them,
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5:28 - 5:29you want to converse with them,
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5:29 - 5:31not only asking them things,
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5:31 - 5:35but also having them
with you as companions. -
5:35 - 5:39So in the future,
we think that these can create a... -
5:41 - 5:43until now undocumented part of humanity.
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5:43 - 5:44So a lot of this oral tradition,
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5:44 - 5:45a lot of storytelling,
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5:45 - 5:47which has been, interacting
into humanity, -
5:47 - 5:49has been kind of lost in the Internet age
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5:49 - 5:52for these can start getting ideas.
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5:52 - 5:54Reduce costs of cell phones.
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5:54 - 5:57will allow these to permeate more places,
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5:57 - 5:59And a new breed of social knowledge
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5:59 - 6:02through sharing and interacting
allows to connect to people, -
6:02 - 6:07that maybe culturally disperse.
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6:07 - 6:08There are a lot of problems
to solve obviously, -
6:08 - 6:10technical issues such as
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6:10 - 6:12voice recognition and data storage,
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6:12 - 6:14and that AI in the backend,
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6:14 - 6:16issues such as privacy and security,
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6:16 - 6:19Because obviously
you're telling the robot things, -
6:19 - 6:23and other problems such as
will personal robots be adopted? -
6:23 - 6:26That's more of a social question.
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6:26 - 6:29So to trail off here,
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6:29 - 6:31I figured we would have one example,
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6:31 - 6:32so, imagine you asked your robot,
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6:32 - 6:35you know, what created the moon?
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6:35 - 6:36Who better to answer it
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6:36 - 6:39than someone like
Chris Hatfield and ISS astronauts. -
6:39 - 6:41So let's see what he has to say.
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6:43 - 6:45Robot: What created the moon?
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6:45 - 6:48Chris Hatfield: What created the moon?
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6:48 - 6:51The moon was created about
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6:51 - 6:52four billion years ago,
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6:52 - 6:55when a huge rocky early planet
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6:55 - 6:57slammed into the Earth.
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6:57 - 6:58Something about the size of Mars
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6:58 - 7:00crashed into the Earth
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7:00 - 7:03like two big wet pool balls,
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7:03 - 7:05billiard balls, slamming into each other,
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7:05 - 7:06and ripped a big section out of the Earth,
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7:06 - 7:08went off like a big globe into space
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7:08 - 7:10and started orbiting the world
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7:10 - 7:11and slowly cooled
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7:11 - 7:13and got further and further
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7:13 - 7:14from the world over the billions of years
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7:14 - 7:16until it finally coalesced
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7:16 - 7:18and looks just like our moon does today.
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7:18 - 7:23So truly, the moon is like
the daughter of the Earth -
7:23 - 7:25(Applause)
- Title:
- Blab Droids -- Self-Learning Social Cloud Robots: Alex Reben at TEDxBeaconStreet
- Description:
-
Humans are social creatures, and throughout history knowledge has been both disseminated and absorbed in a social manner, through not only written artifacts but also by oral tradition. Self-learning social cloud robots have the potential to not only be humanity's natural social window into digital knowledge, but they also afford an opportunity to collect and catalog new human knowledge in a novel way. Imagine how much uncataloged human knowledge could be saved through a natural human-centered interface which one would have feelings for like a pet: everything you teach your robot would be known by every other robot in the cloud.
- Video Language:
- English
- Team:
- closed TED
- Project:
- TEDxTalks
- Duration:
- 07:26
Elisabeth Buffard
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