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ELIZABETH CHOE: Hey guys.

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So, these are our special
guest lecturers for today.

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These are sixth graders
from [INAUDIBLE].

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00:00:52,068 --> 00:00:55,540
Do you guys want to go ahead
and find a table to sit at?

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00:00:55,540 --> 00:01:24,804
[INAUDIBLE] And everyone
will rotate. [INAUDIBLE]

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AUDIENCE: Hi.

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00:01:37,240 --> 00:01:37,890
Music matters.

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It really does.

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00:01:39,070 --> 00:01:40,188
Are you a musician?

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00:01:40,188 --> 00:01:40,979
GUEST SPEAKER: Yep.

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AUDIENCE: What do you play?

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00:01:41,462 --> 00:01:42,750
GUEST SPEAKER: I play
the snare drum, the bass

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drum, the tambourine,
pretty much all

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the percussion instruments.

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AUDIENCE: The triangle.

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GUEST SPEAKER: Triangle.

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00:01:50,170 --> 00:01:51,610
AUDIENCE: That's really cool.

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00:01:51,610 --> 00:01:54,865
ELIZABETH CHOE: All right,
guys so, before we get started,

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00:01:54,865 --> 00:01:58,045
the way this is going
to work is we'll

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00:01:58,045 --> 00:02:03,314
give you five minutes at each
station with your consultants.

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00:02:03,314 --> 00:02:06,130
And during this
five minutes-- this

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00:02:06,130 --> 00:02:09,009
is for the MIT students-- go
ahead and introduce yourselves.

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Tell them what you study,
maybe what year you

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are, what you're interested in.

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And then, if you feel
comfortable showing them

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the video pitch that
you made last night--

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00:02:18,084 --> 00:02:18,709
[LOUD RUMBLING]

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00:02:18,709 --> 00:02:20,182
PROFESSOR: We have this
to deal with, so just

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know that's out of our control.

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And we're really sorry.

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They're doing some
construction over there,

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and it's going to
be a little noisy.

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Sorry.

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00:02:28,534 --> 00:02:30,700
ELIZABETH CHOE: So go ahead
and show them your pitch

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if you're comfortable with it.

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If not, you can just
tell them your idea.

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And then workshop some
of the backup ideas

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00:02:35,410 --> 00:02:37,880
that you thought
about last night.

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00:02:37,880 --> 00:02:39,570
And the Cummings
Middle School students

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00:02:39,570 --> 00:02:42,110
know exactly what criteria
you're looking for, right?

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So you can use the
rubrics that we gave you.

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00:02:45,300 --> 00:02:46,950
And at the end of
the five minutes,

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00:02:46,950 --> 00:02:49,650
we're going to have the
MIT students rotate.

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So Nathan, you'll
go to the back.

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Paul, you'll scoot here.

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Everyone will just
shift that way.

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Does that make
sense to everyone?

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We'll try it out
for the first time.

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And if anyone has
any questions, you

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00:03:01,736 --> 00:03:03,694
can always come talk to
one of the instructors.

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OK?

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PROFESSOR: Does anyone
have any questions

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about how this is going to
work before we get started,

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or what your job is?

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Does anyone have a question
about that, either?

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Your job, it's a
very important job.

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You're critics, right?

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All right, then it looks like
everyone knows what to do.

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ELIZABETH CHOE: So, I will
go ahead and start the timer

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for the first five minutes.

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And if at any point you have
a question about what you're

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doing or just a
clarification thing,

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you can come find one of us.

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Have fun.

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AUDIENCE: So, introduction,
I study computer science.

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Anyone know what that is?

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It's kind of like
programming kind of stuff.

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And so, the kind of stuff I
like to do is I make games.

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So this is kind of
like [INAUDIBLE].

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It's kind of like Fruit Ninja.

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Have you ever heard
of Fruit Ninja?

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Except, because snowing today,
you'd slash the snowflakes.

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It's kind of the same, but this
time you get a lot of combos.

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And if you slash the red one,
you lose time and lose points.

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And you eventually
lose the game.

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00:04:10,110 --> 00:04:11,920
That's the kinds of things I do.

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GUEST SPEAKER:
Did you make that?

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AUDIENCE: Yeah.

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I made that.

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00:04:14,070 --> 00:04:14,820
GUEST SPEAKER: Oh.

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I didn't--

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00:04:15,530 --> 00:04:17,529
GUEST SPEAKER: I've got
Fruit Ninja on my phone.

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AUDIENCE: It's kind
of like Fruit Ninja

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00:04:18,829 --> 00:04:20,630
except don't slash
the red snowflakes.

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00:04:20,630 --> 00:04:22,355
And it's OK if the
snowflakes fall off.

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00:04:22,355 --> 00:04:24,680
Oh, and the blue ones give
you these mega explosions.

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00:04:24,680 --> 00:04:25,430
GUEST SPEAKER: Oh.

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00:04:25,430 --> 00:04:27,060
That's so cool.

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00:04:27,060 --> 00:04:27,840
AUDIENCE: Yeah.

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00:04:27,840 --> 00:04:29,840
So I have this idea.

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00:04:29,840 --> 00:04:31,754
It's just, without
programming, how

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00:04:31,754 --> 00:04:32,920
can you make computer games?

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00:04:32,920 --> 00:04:36,750
That's what I was
thinking of off my head.

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00:04:36,750 --> 00:04:39,132
What do you think of that?

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00:04:39,132 --> 00:04:40,298
GUEST SPEAKER: I don't know.

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00:04:43,790 --> 00:04:46,097
AUDIENCE: Do you play
games a lot on your phone?

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00:04:46,097 --> 00:04:46,930
GUEST SPEAKER: Yeah.

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00:04:46,930 --> 00:04:47,880
GUEST SPEAKER: Oh yeah.

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00:04:47,880 --> 00:04:49,171
AUDIENCE: What's your favorite?

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00:04:51,986 --> 00:04:53,486
GUEST SPEAKER: I
like a lot of them.

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00:04:53,486 --> 00:04:54,970
Plus social media.

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00:04:54,970 --> 00:04:56,672
AUDIENCE: Ah, social media.

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00:04:56,672 --> 00:04:57,620
GUEST SPEAKER: Yeah,
that kind of thing.

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00:04:57,620 --> 00:04:59,430
GUEST SPEAKER: I don't
really have a favorite.

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00:04:59,430 --> 00:05:00,263
AUDIENCE: Oh, I see.

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00:05:00,263 --> 00:05:03,101
GUEST SPEAKER: I play Madden
Mobile and Clash of Clans.

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00:05:03,101 --> 00:05:04,345
AUDIENCE: Ah, Clash of Clans.

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00:05:04,345 --> 00:05:04,970
Yes.

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00:05:04,970 --> 00:05:06,920
Totally addictive.

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00:05:06,920 --> 00:05:08,640
Yeah, so it'll
probably be about,

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00:05:08,640 --> 00:05:11,142
like, how can you come
up ideas to make games?

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00:05:11,142 --> 00:05:13,600
Because, honestly, the people
who are trying to make games,

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00:05:13,600 --> 00:05:16,137
I'm probably not as
smart as any one of them.

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00:05:16,137 --> 00:05:16,970
GUEST SPEAKER: Yeah.

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00:05:16,970 --> 00:05:17,830
AUDIENCE: Because
you play the games.

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00:05:17,830 --> 00:05:19,310
You know what
people like to play.

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00:05:19,310 --> 00:05:21,775
And it's not me, it's you.

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00:05:21,775 --> 00:05:23,095
You know what you like to play.

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00:05:23,095 --> 00:05:27,780
So if you could make the
games that people of all ages

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00:05:27,780 --> 00:05:30,046
could play, that would
be great, great right?

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00:05:30,046 --> 00:05:30,800
Yeah.

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00:05:30,800 --> 00:05:35,180
OK, well, just another
curious-cat question.

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00:05:35,180 --> 00:05:37,414
Do you know what a hacker is?

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00:05:37,414 --> 00:05:38,290
GUEST SPEAKER: What?

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00:05:38,290 --> 00:05:38,840
AUDIENCE: No?

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00:05:38,840 --> 00:05:39,507
Hacker?

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00:05:39,507 --> 00:05:40,590
GUEST SPEAKER: Oh, hacker?

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00:05:40,590 --> 00:05:41,470
AUDIENCE: Yeah, hacker.

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00:05:41,470 --> 00:05:42,470
GUEST SPEAKER: Oh, yeah.

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00:05:42,470 --> 00:05:47,750
Someone who has to invade
the firewall thingy.

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00:05:47,750 --> 00:05:49,730
Or get through
the security bars.

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00:05:49,730 --> 00:05:50,720
AUDIENCE: Yeah.

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00:05:50,720 --> 00:05:54,170
Would you want to know
about what is a hacker

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00:05:54,170 --> 00:05:55,282
and what they do?

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00:05:55,282 --> 00:05:56,146
GUEST SPEAKER: No,
I don't want to.

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00:05:56,146 --> 00:05:56,580
AUDIENCE: No.

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00:05:56,580 --> 00:05:57,080
OK.

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00:05:57,080 --> 00:05:58,720
Then let's just scrap that.

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00:05:58,720 --> 00:06:00,270
How about a curious question.

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00:06:00,270 --> 00:06:01,726
Everyone knows Google, right?

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00:06:01,726 --> 00:06:02,559
GUEST SPEAKER: Yeah.

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00:06:02,559 --> 00:06:04,152
AUDIENCE: But what do they do?

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00:06:04,152 --> 00:06:06,120
GUEST SPEAKER: Search engine?

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00:06:06,120 --> 00:06:08,640
AUDIENCE: OK, yeah.

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00:06:08,640 --> 00:06:12,780
And then, what does
that make them?

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00:06:12,780 --> 00:06:15,562
How are they so
important in our lives?

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00:06:15,562 --> 00:06:18,032
GUEST SPEAKER: Well, because,
when we do our homework,

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00:06:18,032 --> 00:06:19,490
we kind of look up
on Google a lot.

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00:06:19,490 --> 00:06:20,913
Like to [INAUDIBLE] stuff.

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00:06:20,913 --> 00:06:21,454
Like history.

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00:06:21,454 --> 00:06:21,995
AUDIENCE: OK.

159
00:06:21,995 --> 00:06:22,927
Cool, cool.

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00:06:22,927 --> 00:06:23,885
GUEST SPEAKER: Helpful.

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Very helpful

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00:06:24,410 --> 00:06:26,830
AUDIENCE: Yeah, OK.

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00:06:26,830 --> 00:06:29,498
You can also ask Siri on
your phone or something,

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00:06:29,498 --> 00:06:33,490
like your little button.

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00:06:33,490 --> 00:06:35,340
I'm actually not
from the US, I'm

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00:06:35,340 --> 00:06:39,347
actually from a little country
in Asia called Singapore.

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00:06:39,347 --> 00:06:40,180
So I'm just curious.

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00:06:40,180 --> 00:06:42,904
Do you all study
programming at your age?

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00:06:42,904 --> 00:06:43,800
Like any kinds?

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00:06:43,800 --> 00:06:44,652
GUEST SPEAKER: No.

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00:06:44,652 --> 00:06:45,360
AUDIENCE: Oh, OK.

172
00:06:45,360 --> 00:06:46,150
Me, neither.

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00:06:46,150 --> 00:06:48,710
I have never studied programming
until I came to university.

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00:06:48,710 --> 00:06:50,250
GUEST SPEAKER: Yeah.

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00:06:50,250 --> 00:06:56,830
PROFESSOR: So what do
you think programmers do?

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00:06:56,830 --> 00:06:59,170
GUEST SPEAKER:
They create things?

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00:06:59,170 --> 00:07:01,761
GUEST SPEAKER: Yeah, they help
build games and code and stuff.

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00:07:01,761 --> 00:07:04,010
AUDIENCE: If you were to be
curious about a programmer

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00:07:04,010 --> 00:07:08,094
or what can he do, what
would interest you, games?

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00:07:08,094 --> 00:07:11,082
What else?

181
00:07:11,082 --> 00:07:13,074
Anything else?

182
00:07:13,074 --> 00:07:16,062
I pretty much just play games.

183
00:07:16,062 --> 00:07:20,582
I can't call on mine,
because it's an iPod.

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00:07:20,582 --> 00:07:21,540
I don't have an iPhone.

185
00:07:21,540 --> 00:07:22,409
I only have an iPod.

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00:07:22,409 --> 00:07:23,034
AUDIENCE: Yeah.

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00:07:23,034 --> 00:07:24,528
ELIZABETH CHOE:
All right, you have

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00:07:24,528 --> 00:07:26,111
two more minutes
with your consultants

189
00:07:26,111 --> 00:07:27,550
before we move tables.

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00:07:27,550 --> 00:07:30,640
AUDIENCE: So out of the
random ideas I threw at you,

191
00:07:30,640 --> 00:07:33,430
which one would
you be interested

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00:07:33,430 --> 00:07:36,642
in in a possible video?

193
00:07:36,642 --> 00:07:38,868
GUEST SPEAKER: Football
games, pretty much.

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00:07:38,868 --> 00:07:39,909
AUDIENCE: Football games.

195
00:07:39,909 --> 00:07:40,514
OK.

196
00:07:40,514 --> 00:07:41,722
GUEST SPEAKER: I'd say, yeah.

197
00:07:44,386 --> 00:07:45,838
GUEST SPEAKER: I don't know.

198
00:07:45,838 --> 00:07:50,160
I think something
that has to do with.

199
00:07:50,160 --> 00:07:52,320
What's the nearest
thing you have

200
00:07:52,320 --> 00:07:56,390
in your mind that always nags
you about computers, I guess?

201
00:07:56,390 --> 00:07:57,765
GUEST SPEAKER: It
slow sometimes.

202
00:07:57,765 --> 00:07:58,260
GUEST SPEAKER: It
takes too long.

203
00:07:58,260 --> 00:07:58,670
AUDIENCE: It's too slow.

204
00:07:58,670 --> 00:07:59,950
GUEST SPEAKER: Yeah, too slow.

205
00:07:59,950 --> 00:08:02,480
GUEST SPEAKER: Like, even
when you have Wi-Fi in range

206
00:08:02,480 --> 00:08:05,430
and you're near the router,
it's always really slow.

207
00:08:05,430 --> 00:08:06,510
AUDIENCE: Oh, OK.

208
00:08:06,510 --> 00:08:08,960
GUEST SPEAKER: Oh
yeah, and Wi-Fi.

209
00:08:08,960 --> 00:08:13,000
When I'm in my car, I can't
play on the antenna and stuff.

210
00:08:13,000 --> 00:08:15,947
I can play games that
don't need antenna.

211
00:08:20,348 --> 00:08:21,388
I don't like Wi-Fi.

212
00:08:21,388 --> 00:08:23,304
They should have built-in
Wi-Fi on everything.

213
00:08:23,304 --> 00:08:25,880
So that would be cool.

214
00:08:28,700 --> 00:08:29,840
AUDIENCE: OK.

215
00:08:29,840 --> 00:08:30,752
You know Pixar.

216
00:08:30,752 --> 00:08:31,585
You like the movies?

217
00:08:31,585 --> 00:08:32,580
GUEST SPEAKER: Yeah.

218
00:08:32,580 --> 00:08:34,871
AUDIENCE: I love The Incredibles
But that's really old,

219
00:08:34,871 --> 00:08:37,700
but I still love it.

220
00:08:37,700 --> 00:08:40,419
And have you ever
wondered how they do it?

221
00:08:40,419 --> 00:08:42,537
It kind of looks different
from the normal--

222
00:08:42,537 --> 00:08:43,370
GUEST SPEAKER: Yeah.

223
00:08:43,370 --> 00:08:46,850
AUDIENCE: Yeah, so they actually
use some computer software

224
00:08:46,850 --> 00:08:47,350
to do it.

225
00:08:47,350 --> 00:08:50,902
It's called 3D animation,
like three-dimensional.

226
00:08:50,902 --> 00:08:52,280
Is that interesting?

227
00:08:52,280 --> 00:08:54,734
GUEST SPEAKER: Yeah, I
would be interested in that.

228
00:08:54,734 --> 00:08:57,192
AUDIENCE: Yeah, like how do
you draw, but on the computers?

229
00:08:57,192 --> 00:08:58,566
GUEST SPEAKER:
Yeah, like do they

230
00:08:58,566 --> 00:09:00,980
have to draw all the little
pictures of every movement?

231
00:09:00,980 --> 00:09:02,188
AUDIENCE: Ah, that's the key.

232
00:09:02,188 --> 00:09:03,397
No, actually the answer's no.

233
00:09:03,397 --> 00:09:04,980
GUEST SPEAKER: Oh,
I thought they did.

234
00:09:04,980 --> 00:09:06,630
AUDIENCE: It's
pretty cool, right?

235
00:09:06,630 --> 00:09:10,470
What they do is they make a
teddy bear in the computer,

236
00:09:10,470 --> 00:09:12,107
or some kind of 3D image of it.

237
00:09:12,107 --> 00:09:12,940
GUEST SPEAKER: Yeah.

238
00:09:12,940 --> 00:09:15,380
AUDIENCE: And they put bones in.

239
00:09:15,380 --> 00:09:18,250
Just like how you put bones in
humans that he was programming,

240
00:09:18,250 --> 00:09:20,140
you put logical bones.

241
00:09:20,140 --> 00:09:21,520
And then you can
shift the bones,

242
00:09:21,520 --> 00:09:22,810
and they're like
puppets, you know?

243
00:09:22,810 --> 00:09:23,210
GUEST SPEAKER: Yeah.

244
00:09:23,210 --> 00:09:24,043
GUEST SPEAKER: Yeah.

245
00:09:24,043 --> 00:09:26,468
This is kind of like what
they do all the time.

246
00:09:26,468 --> 00:09:29,093
ELIZABETH CHOE: All right, guys,
let's go ahead and shift over.

247
00:09:29,093 --> 00:09:31,352
AUDIENCE: OK, so which
one of the ideas--

248
00:09:31,352 --> 00:09:32,810
GUEST SPEAKER: I
like the last one.

249
00:09:32,810 --> 00:09:33,530
AUDIENCE: The last one.

250
00:09:33,530 --> 00:09:33,993
GUEST SPEAKER: Yeah.

251
00:09:33,993 --> 00:09:34,456
GUEST SPEAKER: Yeah.

252
00:09:34,456 --> 00:09:34,920
GUEST SPEAKER: Yes.

253
00:09:34,920 --> 00:09:36,253
AUDIENCE: The last one the most?

254
00:09:36,253 --> 00:09:37,210
All right.

255
00:09:37,210 --> 00:09:39,505
Thank you, guys,
you're so amazing.

256
00:09:39,505 --> 00:09:40,005
OK.

257
00:09:42,831 --> 00:09:43,997
NATHAN: What are your names?

258
00:09:43,997 --> 00:09:45,494
RONALD: I'm Ronald.

259
00:09:45,494 --> 00:09:46,991
RONALD: And I'm Michael.

260
00:09:46,991 --> 00:09:49,486
SARI: I'm going to sit
in with you guys, too.

261
00:09:49,486 --> 00:09:50,484
My name's Sari.

262
00:09:50,484 --> 00:09:51,481
RONALD: Hi.

263
00:09:51,481 --> 00:09:51,981
SARI: Hi.

264
00:09:51,981 --> 00:09:54,650
NATHAN: I'm Nathan.

265
00:09:54,650 --> 00:09:59,710
I study something that's a
mix of chemical engineering

266
00:09:59,710 --> 00:10:00,668
and geology.

267
00:10:00,668 --> 00:10:01,334
RONALD: Geology?

268
00:10:01,334 --> 00:10:01,834
NATHAN: Mhm.

269
00:10:05,320 --> 00:10:07,320
I'm a second year.

270
00:10:07,320 --> 00:10:10,200
I have two ideas.

271
00:10:10,200 --> 00:10:13,160
It looks like my main idea has
been scrapped at this point,

272
00:10:13,160 --> 00:10:15,790
but I'll still mention it
to you in case one of you

273
00:10:15,790 --> 00:10:18,967
is fervently interested in it.

274
00:10:18,967 --> 00:10:20,800
I was interested in
possibly doing something

275
00:10:20,800 --> 00:10:24,970
on how and why fruit decomposes.

276
00:10:24,970 --> 00:10:28,070
But I guess my backup idea
is a bit more interesting

277
00:10:28,070 --> 00:10:32,842
to most people, which
is how you can tell

278
00:10:32,842 --> 00:10:36,810
if there is magma
lava under a surface

279
00:10:36,810 --> 00:10:39,090
and how you can
detect and map it.

280
00:10:39,090 --> 00:10:40,590
And then you might
be able to say oh

281
00:10:40,590 --> 00:10:43,530
is this place in this scope
having some sort of eruption

282
00:10:43,530 --> 00:10:46,990
at some point or not.

283
00:10:46,990 --> 00:10:50,210
So I have to work on the hook.

284
00:10:50,210 --> 00:10:52,804
But I don't know.

285
00:10:52,804 --> 00:10:53,970
I wanna hear from listeners.

286
00:10:53,970 --> 00:10:54,305
SARI: Which one
of those ideas do

287
00:10:54,305 --> 00:10:56,352
you think is more interesting?

288
00:10:56,352 --> 00:10:59,240
MICHAEL: What was the first one?

289
00:10:59,240 --> 00:11:01,532
NATHAN: How and why food
rots and decomposes.

290
00:11:04,364 --> 00:11:06,252
MICHAEL: I would probably
do the lava stuff.

291
00:11:06,252 --> 00:11:07,196
NATHAN: Yeah.

292
00:11:07,196 --> 00:11:08,919
MICHAEL: It's more cool.

293
00:11:08,919 --> 00:11:09,460
NATHAN: Yeah.

294
00:11:09,460 --> 00:11:12,120
RONALD: You could save lives.

295
00:11:12,120 --> 00:11:13,960
NATHAN: Yeah.

296
00:11:13,960 --> 00:11:17,482
So I don't know exactly
what to say about that.

297
00:11:20,820 --> 00:11:22,385
SARI: What would
you be expecting?

298
00:11:22,385 --> 00:11:25,170
If you wanted to watch
a video about lava,

299
00:11:25,170 --> 00:11:28,523
what would you want to be?

300
00:11:28,523 --> 00:11:31,397
RONALD: A diagram of
the Earth, probably.

301
00:11:31,397 --> 00:11:32,355
NATHAN: OK.

302
00:11:32,355 --> 00:11:35,708
MICHAEL: And have the
lithosphere and asthenosphere

303
00:11:35,708 --> 00:11:37,230
and the layers.

304
00:11:37,230 --> 00:11:40,750
And then having
probably, like you

305
00:11:40,750 --> 00:11:46,262
said how you can detect if
there's lava under a surface,

306
00:11:46,262 --> 00:11:47,970
probably having a
place that already does

307
00:11:47,970 --> 00:11:49,500
have lava under the surface.

308
00:11:49,500 --> 00:11:53,919
And like showing the magma
chamber, and then stuff.

309
00:11:58,550 --> 00:12:00,348
SARI: It sounds like
you guys have already

310
00:12:00,348 --> 00:12:02,980
done a unit on volcanoes
pretty recently.

311
00:12:02,980 --> 00:12:06,040
Is there any questions
that you still

312
00:12:06,040 --> 00:12:09,078
have after that that you
might want to have answered?

313
00:12:09,078 --> 00:12:12,982
Like, really cool facts about
volcanoes, or things like that?

314
00:12:12,982 --> 00:12:16,886
I know it's kind of a
hard question to answer.

315
00:12:20,790 --> 00:12:23,467
Or the coolest part of the
it unit that you remember?

316
00:12:23,467 --> 00:12:24,342
RONALD: How it looks.

317
00:12:24,342 --> 00:12:28,044
I've seen videos of
volcanoes erupting at night,

318
00:12:28,044 --> 00:12:29,012
and that was pretty.

319
00:12:31,920 --> 00:12:38,330
MICHAEL: The question I have--
there's some volcanoes that

320
00:12:38,330 --> 00:12:40,190
are big but they
have small eruptions,

321
00:12:40,190 --> 00:12:41,680
and then they do a big one.

322
00:12:41,680 --> 00:12:45,443
And then there's other volcanoes
that just have huge eruptions

323
00:12:45,443 --> 00:12:47,910
every time they go.

324
00:12:47,910 --> 00:12:52,630
Why would some volcanoes
have big eruptions and some

325
00:12:52,630 --> 00:12:55,430
have small, small and
then a big eruption?

326
00:12:55,430 --> 00:13:01,289
NATHAN: All right, so,
here's what I would say.

327
00:13:01,289 --> 00:13:03,330
Of the volcanoes that can
have smaller eruptions,

328
00:13:03,330 --> 00:13:05,660
it's actually
based a lot on what

329
00:13:05,660 --> 00:13:11,570
the makeup of the lava
from the volcano is.

330
00:13:11,570 --> 00:13:16,624
I don't know if you covered the
difference between andesitic

331
00:13:16,624 --> 00:13:20,430
and [INAUDIBLE] volcanoes.

332
00:13:20,430 --> 00:13:24,360
Basically, glass is
made of something

333
00:13:24,360 --> 00:13:26,480
called silicon, silicate.

334
00:13:29,980 --> 00:13:32,580
It's an element,
and volcanoes that

335
00:13:32,580 --> 00:13:39,540
have a lot more silica in it
tend to be a little less dense.

336
00:13:39,540 --> 00:13:44,220
And ones that have lower content
are a lot heavier, the magma.

337
00:13:44,220 --> 00:13:46,470
And so, as you might
expect, the ones

338
00:13:46,470 --> 00:13:48,839
that are heavier,
when they erupt,

339
00:13:48,839 --> 00:13:50,380
it doesn't just
shoot out everywhere.

340
00:13:50,380 --> 00:13:53,420
It just kind of bubbles over
the side and it's more viscous

341
00:13:53,420 --> 00:13:55,340
and it flows slowly.

342
00:13:55,340 --> 00:13:57,700
And so those ones
often will be the ones,

343
00:13:57,700 --> 00:14:02,386
like the big mountains that kind
of spread out this way a lot.

344
00:14:02,386 --> 00:14:04,010
MICHAEL: Sort of like
a shield volcano?

345
00:14:04,010 --> 00:14:04,745
NATHAN: Yeah.

346
00:14:04,745 --> 00:14:06,565
Those are the shield volcanoes.

347
00:14:06,565 --> 00:14:08,890
And so the lava type
causes it to have

348
00:14:08,890 --> 00:14:11,150
a lot more smaller eruptions,
because it takes a lot

349
00:14:11,150 --> 00:14:13,700
and build up of fresh
air if you want to have

350
00:14:13,700 --> 00:14:15,782
a big eruption from that.

351
00:14:15,782 --> 00:14:18,240
Whereas, when you have a higher
silica content, which means

352
00:14:18,240 --> 00:14:21,182
it weighs less, it's
going to explode more.

353
00:14:21,182 --> 00:14:26,490
And it's going to have
more violent eruptions.

354
00:14:26,490 --> 00:14:31,800
And there's other factors
as well, like water content.

355
00:14:31,800 --> 00:14:34,956
And at what depth the magma
chamber underneath the volcano

356
00:14:34,956 --> 00:14:35,455
is.

357
00:14:39,726 --> 00:14:41,694
RONALD: Yeah.

358
00:14:41,694 --> 00:14:42,678
Another question.

359
00:14:42,678 --> 00:14:44,154
Let me see.

360
00:14:44,154 --> 00:14:46,122
MICHAEL: If you don't
have one, I have one.

361
00:14:46,122 --> 00:14:46,614
RONALD: All right.

362
00:14:46,614 --> 00:14:49,114
ELIZABETH CHOE: All right, guys,
let's rotate one more time.

363
00:14:49,114 --> 00:14:56,085
MICHAEL: The amount of-- which
one was dormant for a long time

364
00:14:56,085 --> 00:14:57,930
and then blew it's
top and it was crazy?

365
00:14:57,930 --> 00:14:58,422
NATHAN: Mount Saint Helens?

366
00:14:58,422 --> 00:14:58,668
MICHAEL: Yes.

367
00:14:58,668 --> 00:14:59,209
RONALD: Yeah.

368
00:15:06,570 --> 00:15:08,740
MICHAEL: If volcanoes
are dormant for a longer

369
00:15:08,740 --> 00:15:10,700
period, when they
erupt, will they

370
00:15:10,700 --> 00:15:15,740
have a violenter eruption than
ones that are dormant shorter?

371
00:15:15,740 --> 00:15:20,210
I can't actually
answer that question.

372
00:15:20,210 --> 00:15:25,354
I know what causes volcanoes
to go more dormant, what

373
00:15:25,354 --> 00:15:26,520
might make them not dormant.

374
00:15:26,520 --> 00:15:29,645
But I can't really say
if that would effect it.

375
00:15:29,645 --> 00:15:31,770
AUDIENCE: One thing about
math that you have really

376
00:15:31,770 --> 00:15:33,370
enjoyed or really hated.

377
00:15:33,370 --> 00:15:36,362
Or two things.

378
00:15:36,362 --> 00:15:37,811
So we'll start.

379
00:15:37,811 --> 00:15:39,740
Go left to right.

380
00:15:39,740 --> 00:15:41,240
BRIAN: Wait, what
did you say again?

381
00:15:41,240 --> 00:15:44,796
AUDIENCE: So name, favorite
subject, and things about math

382
00:15:44,796 --> 00:15:47,675
that you you have really
loved or really hated.

383
00:15:47,675 --> 00:15:48,175
BRIAN: OK.

384
00:15:48,175 --> 00:15:50,155
My name is Brian.

385
00:15:50,155 --> 00:15:55,105
My favorite subject is gym.

386
00:15:55,105 --> 00:16:02,035
And I hate math,
because it's boring.

387
00:16:02,035 --> 00:16:04,040
AUDIENCE: OK.

388
00:16:04,040 --> 00:16:07,730
Actually, I guess it's
a kind of new direction,

389
00:16:07,730 --> 00:16:11,970
but a lot of people are actually
studying the math of sports.

390
00:16:11,970 --> 00:16:15,010
So they go out and do really
weird things with sports,

391
00:16:15,010 --> 00:16:19,830
like throwing
basketballs at, like,

392
00:16:19,830 --> 00:16:24,480
places where you shoot an
arrow, and they do math with it.

393
00:16:24,480 --> 00:16:27,940
So that's kind of a
connection, gym and math

394
00:16:27,940 --> 00:16:30,940
getting closer together.

395
00:16:30,940 --> 00:16:33,068
MATT: My name's Matt.

396
00:16:33,068 --> 00:16:36,940
I like math.

397
00:16:36,940 --> 00:16:39,960
You hear that, Brian?

398
00:16:39,960 --> 00:16:43,900
And what was the third
thing that I have to say?

399
00:16:43,900 --> 00:16:48,980
AUDIENCE: Some things that you
really enjoyed it about it.

400
00:16:48,980 --> 00:16:53,550
MATT: I enjoy solving
variables and equations

401
00:16:53,550 --> 00:16:56,548
and graphing things.

402
00:16:56,548 --> 00:16:57,522
That's good.

403
00:16:57,522 --> 00:16:59,457
AUDIENCE: You're
ready for high school.

404
00:16:59,457 --> 00:16:59,957
MATT: Burn.

405
00:17:02,890 --> 00:17:07,845
JOHN: My name is John, and
my favorite subject is--

406
00:17:07,845 --> 00:17:09,339
MATT: History.

407
00:17:09,339 --> 00:17:10,833
JOHN: History.

408
00:17:10,833 --> 00:17:16,410
And I personally
do not like math.

409
00:17:16,410 --> 00:17:18,498
MATT: Hi, guys.

410
00:17:18,498 --> 00:17:21,432
JOHN: What?

411
00:17:21,432 --> 00:17:24,855
If I had to say what
I like about it,

412
00:17:24,855 --> 00:17:29,760
I'm really into
fractions, kind of.

413
00:17:29,760 --> 00:17:32,569
I just like the idea.

414
00:17:32,569 --> 00:17:33,110
AUDIENCE: OK.

415
00:17:33,110 --> 00:17:36,380
Do you know what about the idea?

416
00:17:36,380 --> 00:17:38,850
I've never heard anybody say
I like the idea of fractions,

417
00:17:38,850 --> 00:17:42,106
so that's really
interesting to me.

418
00:17:42,106 --> 00:17:45,489
JOHN: Like, things like
this table being broken up

419
00:17:45,489 --> 00:17:48,870
into thousands of pieces.

420
00:17:48,870 --> 00:17:50,330
I don't know.

421
00:17:50,330 --> 00:17:52,310
AUDIENCE: Now,
really wacky things

422
00:17:52,310 --> 00:17:54,900
that mathematicians
do later on is

423
00:17:54,900 --> 00:17:57,840
that they don't just break the
table into a thousand pieces.

424
00:17:57,840 --> 00:17:58,730
That's too easy.

425
00:17:58,730 --> 00:18:01,810
They break it into an
infinite number of pieces.

426
00:18:01,810 --> 00:18:04,940
And then they see what
they can do with that.

427
00:18:04,940 --> 00:18:08,680
And, kind of related
to that, mathematicians

428
00:18:08,680 --> 00:18:11,190
have proved that
you can take a ball.

429
00:18:11,190 --> 00:18:14,490
You know, just volume one.

430
00:18:14,490 --> 00:18:15,920
One-gallon ball.

431
00:18:15,920 --> 00:18:18,700
And you can cut it in
such a way that you

432
00:18:18,700 --> 00:18:21,035
can make two one-gallon balls.

433
00:18:21,035 --> 00:18:26,244
So you can make two
out of one using math.

434
00:18:26,244 --> 00:18:26,994
JOHN: That's cool.

435
00:18:26,994 --> 00:18:29,595
AUDIENCE: So that's
some other idea.

436
00:18:29,595 --> 00:18:31,095
MATT: You like math now, boys?

437
00:18:35,280 --> 00:18:37,420
AUDIENCE: I mean, if
you think about it,

438
00:18:37,420 --> 00:18:39,480
math people do
really cool things.

439
00:18:39,480 --> 00:18:42,730
There was a study once where
they analyzed the language

440
00:18:42,730 --> 00:18:45,212
of King George and Kanye West.

441
00:18:45,212 --> 00:18:46,170
And they compared them.

442
00:18:46,170 --> 00:18:49,214
And this was an actual study,
like they put time into it.

443
00:18:49,214 --> 00:18:50,630
So I thought that
was pretty cool.

444
00:18:50,630 --> 00:18:55,790
But anyway, that's not
what my pitch is about.

445
00:18:55,790 --> 00:18:57,170
And I'll just say it real quick.

446
00:18:57,170 --> 00:19:00,740
Not going to show the video,
because the sound is terrible.

447
00:19:00,740 --> 00:19:03,340
What I want to talk about
in this video is just

448
00:19:03,340 --> 00:19:05,960
the question of is
math real and true?

449
00:19:05,960 --> 00:19:11,140
Because what mathematicians
learned in the 20th century,

450
00:19:11,140 --> 00:19:13,710
there was a young man named
Kurt Godel who proved that--

451
00:19:13,710 --> 00:19:15,293
ELIZABETH CHOE: One
more minute, guys,

452
00:19:15,293 --> 00:19:15,605
before we need to switch again.

453
00:19:15,605 --> 00:19:18,390
AUDIENCE: --you can never
prove if math is true or not.

454
00:19:18,390 --> 00:19:22,960
So the arithmetic we
learned in school,

455
00:19:22,960 --> 00:19:27,930
we think it's true, because
it's worked, but it may not be.

456
00:19:27,930 --> 00:19:29,460
There's no way to say for sure.

457
00:19:29,460 --> 00:19:31,490
MATT: Wait, is Kurt
Colonel the guy

458
00:19:31,490 --> 00:19:33,970
who made Kentucky Fried Chicken?

459
00:19:33,970 --> 00:19:36,550
No, it's Kurt Godel.

460
00:19:36,550 --> 00:19:37,144
MATT: Oh.

461
00:19:37,144 --> 00:19:38,560
AUDIENCE: I mean,
I think it would

462
00:19:38,560 --> 00:19:41,167
be really cool if he did math
and Kentucky Fried Chicken.

463
00:19:41,167 --> 00:19:42,125
That would be the best.

464
00:19:42,125 --> 00:19:46,240
MATT: On Family Guy, he went
to Kentucky to get chicken.

465
00:19:46,240 --> 00:19:49,940
And he's like, is whatever
his name is that sounded

466
00:19:49,940 --> 00:19:51,140
like what you said.

467
00:19:51,140 --> 00:19:53,070
And he's like no, he's dead.

468
00:19:53,070 --> 00:19:55,370
And he's like the something.

469
00:19:55,370 --> 00:19:57,014
It was so funny.

470
00:19:57,014 --> 00:19:58,680
AUDIENCE: I'll have
to look and see now.

471
00:19:58,680 --> 00:20:01,724
Did any mathematicians
open fast food chains?

472
00:20:01,724 --> 00:20:03,390
That's probably an
interesting question.

473
00:20:03,390 --> 00:20:05,480
I don't think anyone's
asked it before.

474
00:20:05,480 --> 00:20:09,770
But, that said, any
thoughts on the idea?

475
00:20:09,770 --> 00:20:13,312
I'll get a thumbs up, thumbs
down, or thumbs middle.

476
00:20:13,312 --> 00:20:14,270
ELIZABETH CHOE: Rotate.

477
00:20:17,924 --> 00:20:19,380
AUDIENCE: All right.

478
00:20:19,380 --> 00:20:20,050
Thanks, guys.

479
00:20:20,050 --> 00:20:26,290
It was nice meeting you and
enjoy playing or not playing.

480
00:20:26,290 --> 00:20:28,547
AUDIENCE: I want an
aha moment, a eureka.

481
00:20:28,547 --> 00:20:30,880
PROFESSOR: I think you want
to get away from instruction

482
00:20:30,880 --> 00:20:32,780
and more of concept.

483
00:20:32,780 --> 00:20:33,710
Right?

484
00:20:33,710 --> 00:20:35,970
So see if you can think
of a little narrower focus

485
00:20:35,970 --> 00:20:38,100
than in these big,
big, big concepts.

486
00:20:38,100 --> 00:20:41,170
And that might help you
with your next group.

487
00:20:41,170 --> 00:20:43,810
GUEST SPEAKER: So some of
them are pretty similar,

488
00:20:43,810 --> 00:20:45,284
like the robots?

489
00:20:45,284 --> 00:20:45,950
PROFESSOR: Yeah.

490
00:20:45,950 --> 00:20:47,780
So we're teaching them.

491
00:20:50,436 --> 00:20:52,810
They're scientists, and we're
teaching them how to make--

492
00:20:52,810 --> 00:20:54,310
have you ever looked
on cool videos?

493
00:20:54,310 --> 00:20:57,300
Have you seen Charlie the
Unicorn, or you've seen--

494
00:20:57,300 --> 00:20:58,180
GUEST SPEAKER: Oh, I've
seen Charlie the Unicorn.

495
00:20:58,180 --> 00:20:59,471
PROFESSOR: Charlie the Unicorn.

496
00:20:59,471 --> 00:21:03,556
Or maybe you've seen-- I used
to work with kids your age,

497
00:21:03,556 --> 00:21:05,835
and they loved that one.

498
00:21:05,835 --> 00:21:08,210
It was about this little
snail, Marcel the Shell.

499
00:21:08,210 --> 00:21:09,410
Have you seen that one?

500
00:21:09,410 --> 00:21:09,580
No?

501
00:21:09,580 --> 00:21:11,285
Well, you see these
little YouTube videos,

502
00:21:11,285 --> 00:21:12,826
and everyone's like,
oh, that's cool.

503
00:21:12,826 --> 00:21:14,090
You've got to watch that too.

504
00:21:14,090 --> 00:21:15,380
GUEST SPEAKER: Oh,
like the 21 kid?

505
00:21:15,380 --> 00:21:15,530
PROFESSOR: Which one?

506
00:21:15,530 --> 00:21:17,520
GUEST SPEAKER: The
21 kid that says 21.

507
00:21:17,520 --> 00:21:20,235
Everybody in
America says 21 now.

508
00:21:20,235 --> 00:21:21,110
PROFESSOR: Oh really?

509
00:21:21,110 --> 00:21:23,340
Is that the it one
you have to watch?

510
00:21:23,340 --> 00:21:25,451
21?

511
00:21:25,451 --> 00:21:27,940
GUEST SPEAKER: It's a Vine.

512
00:21:27,940 --> 00:21:30,023
GUEST SPEAKER: And then
they make it into a video.

513
00:21:30,023 --> 00:21:33,920
Or there's a series of shows
on YouTube called ASDF.

514
00:21:33,920 --> 00:21:36,406
It's about this
little stick figure.

515
00:21:36,406 --> 00:21:38,030
PROFESSOR: Right, so
you guys see them,

516
00:21:38,030 --> 00:21:40,190
and then you're like hey friend,
you've got to see this too.

517
00:21:40,190 --> 00:21:42,130
And then you get
everyone watch it, right?

518
00:21:42,130 --> 00:21:44,900
We're trying to make those
really cool, short videos

519
00:21:44,900 --> 00:21:46,230
about science topics.

520
00:21:46,230 --> 00:21:46,730
Right?

521
00:21:46,730 --> 00:21:48,271
And so we're going
to make them free,

522
00:21:48,271 --> 00:21:51,125
so that it also teaches people
something while it's also

523
00:21:51,125 --> 00:21:52,109
cool and fun.

524
00:21:52,109 --> 00:21:53,650
And so what he's
trying to figure out

525
00:21:53,650 --> 00:21:56,820
is what in his world
of computer science

526
00:21:56,820 --> 00:21:59,642
would be cool enough that
you'd be, like hey friend,

527
00:21:59,642 --> 00:22:00,850
you've got to check this out.

528
00:22:00,850 --> 00:22:01,684
It's really awesome.

529
00:22:01,684 --> 00:22:03,475
GUEST SPEAKER: I think
the hacker one would

530
00:22:03,475 --> 00:22:04,850
be good for people out age.

531
00:22:04,850 --> 00:22:07,450
PROFESSOR: To understand how
someone hacked your account?

532
00:22:07,450 --> 00:22:08,825
GUEST SPEAKER:
Yeah, but then you

533
00:22:08,825 --> 00:22:10,300
don't want kids to hack people.

534
00:22:10,300 --> 00:22:11,220
PROFESSOR: Well,
that's the fear, right?

535
00:22:11,220 --> 00:22:13,410
You don't want to end up
giving kids instructions

536
00:22:13,410 --> 00:22:15,820
on how to hack, because I don't
think the government or anyone

537
00:22:15,820 --> 00:22:17,090
else would probably like that.

538
00:22:17,090 --> 00:22:18,132
But that's a fear, right?

539
00:22:18,132 --> 00:22:20,006
It's just making sure
that we're not actually

540
00:22:20,006 --> 00:22:22,690
giving instructional videos on
how to destroy other people's

541
00:22:22,690 --> 00:22:23,716
credit cards.

542
00:22:23,716 --> 00:22:26,143
GUEST SPEAKER:
Google might be good.

543
00:22:26,143 --> 00:22:28,476
GUEST SPEAKER: Because then
you could just hack this ATM

544
00:22:28,476 --> 00:22:31,460
and get all the money.

545
00:22:31,460 --> 00:22:33,350
PROFESSOR: How to
protect yourself,

546
00:22:33,350 --> 00:22:36,300
like make sure your money's safe
would be interesting to you?

547
00:22:36,300 --> 00:22:37,524
GUEST SPEAKER: Like how to
protect yourself from hackers,

548
00:22:37,524 --> 00:22:38,370
how to protect yourself.

549
00:22:38,370 --> 00:22:39,510
PROFESSOR: How to
protect yourself,

550
00:22:39,510 --> 00:22:41,405
instead of destroying
someone else's something?

551
00:22:41,405 --> 00:22:41,750
AUDIENCE: Yeah.

552
00:22:41,750 --> 00:22:42,055
MATT: Yeah.

553
00:22:42,055 --> 00:22:42,750
PROFESSOR: That's a nice
way of turning it around.

554
00:22:42,750 --> 00:22:44,125
GUEST SPEAKER: I
have a question.

555
00:22:44,125 --> 00:22:45,850
So say if someone
lost their wallet,

556
00:22:45,850 --> 00:22:47,990
and they had their
credit card in there,

557
00:22:47,990 --> 00:22:51,550
and it can access to the bank.

558
00:22:51,550 --> 00:22:54,270
If someone found it, and
the person to access,

559
00:22:54,270 --> 00:22:55,950
do they end up giving
them the money?

560
00:22:55,950 --> 00:22:58,450
PROFESSOR: Sometimes, and that's
why credit cards are really

561
00:22:58,450 --> 00:23:01,300
good at-- do you know anything
about this in your work, or no?

562
00:23:01,300 --> 00:23:02,847
AUDIENCE: Credit cards?

563
00:23:02,847 --> 00:23:05,180
PROFESSOR: Protecting credit
card identity and all that?

564
00:23:05,180 --> 00:23:06,860
GUEST SPEAKER: But don't they
have your picture or something,

565
00:23:06,860 --> 00:23:08,170
so they know it's you?

566
00:23:08,170 --> 00:23:10,040
AUDIENCE: But online,
it's really easy

567
00:23:10,040 --> 00:23:11,885
to use another
person's credit card

568
00:23:11,885 --> 00:23:15,127
if you know all the information.

569
00:23:15,127 --> 00:23:17,210
PROFESSOR: I get called
often from my bank saying,

570
00:23:17,210 --> 00:23:20,380
did you make this purchase,
or did someone else?

571
00:23:20,380 --> 00:23:22,560
But that's an interesting
thing for people who

572
00:23:22,560 --> 00:23:24,269
do a lot of shopping online.

573
00:23:24,269 --> 00:23:25,435
How do you protect yourself?

574
00:23:25,435 --> 00:23:27,435
GUEST SPEAKER: If somebody
else took your money,

575
00:23:27,435 --> 00:23:29,037
would you get that back or no?

576
00:23:29,037 --> 00:23:30,620
PROFESSOR: That's
why, if you catch it

577
00:23:30,620 --> 00:23:32,020
quickly with your
bank, sometimes

578
00:23:32,020 --> 00:23:35,000
they can quickly stop
it before it ends up

579
00:23:35,000 --> 00:23:36,280
getting charged. to you.

580
00:23:36,280 --> 00:23:37,890
But that's an interesting idea.

581
00:23:37,890 --> 00:23:41,100
How, if you're buying
stuff on the internet,

582
00:23:41,100 --> 00:23:44,330
what's actually happening
to protect yourself?

583
00:23:44,330 --> 00:23:51,690
What if someone did
catch the person,

584
00:23:51,690 --> 00:23:53,720
and the person already
used all the money,

585
00:23:53,720 --> 00:23:55,650
and you can't return
it after that,

586
00:23:55,650 --> 00:23:57,940
did the bank end up giving
their money to the person?

587
00:23:57,940 --> 00:23:58,560
PROFESSOR: Do you
ever wonder what

588
00:23:58,560 --> 00:24:00,690
happens when you type in
the credit card number,

589
00:24:00,690 --> 00:24:03,404
and how the money actually
gets where it needs to go?

590
00:24:03,404 --> 00:24:05,070
GUEST SPEAKER: Oh,
they track them down?

591
00:24:05,070 --> 00:24:06,444
PROFESSOR: Have
you ever wondered

592
00:24:06,444 --> 00:24:07,730
about how that happens?

593
00:24:07,730 --> 00:24:08,520
No, not really?

594
00:24:08,520 --> 00:24:12,226
You just care about getting
your package in the mail?

595
00:24:12,226 --> 00:24:14,706
GUEST SPEAKER: Does the
ATM make its own money,

596
00:24:14,706 --> 00:24:17,690
or do they put it in?

597
00:24:17,690 --> 00:24:20,620
PROFESSOR: Do they just
put the money in there?

598
00:24:20,620 --> 00:24:23,440
Every country's different,
but at least here, there

599
00:24:23,440 --> 00:24:25,971
is a central office
that makes money.

600
00:24:25,971 --> 00:24:28,833
And then they just distribute
it into different places.

601
00:24:28,833 --> 00:24:30,270
The ATM doesn't make the money.

602
00:24:30,270 --> 00:24:31,670
That's a good question.

603
00:24:31,670 --> 00:24:34,086
But, an interesting thing for
you to think you think about

604
00:24:34,086 --> 00:24:36,290
is what within these
topics more specifically?

605
00:24:36,290 --> 00:24:38,580
Because the hacking is a
cool topic, but you're right

606
00:24:38,580 --> 00:24:39,890
It's a dangerous one.

607
00:24:39,890 --> 00:24:42,480
And we'd want to make sure
we had the right angle, so

608
00:24:42,480 --> 00:24:45,050
that we're not
accidentally giving

609
00:24:45,050 --> 00:24:47,120
sixth graders the tools
to be able to hack

610
00:24:47,120 --> 00:24:50,250
into whatever account, right?

611
00:24:50,250 --> 00:24:52,641
That would be scary.

612
00:24:52,641 --> 00:24:54,450
GUEST SPEAKER: Google
might be a good one.

613
00:24:54,450 --> 00:24:55,199
PROFESSOR: Google?

614
00:24:55,199 --> 00:24:56,460
Could be, right?

615
00:24:56,460 --> 00:24:57,710
How does Google actually work?

616
00:24:57,710 --> 00:24:59,140
How does it find your result?

617
00:24:59,140 --> 00:25:01,265
Like, if you want to learn
how zebras have stripes,

618
00:25:01,265 --> 00:25:03,082
how does it actually
give you an answer?

619
00:25:03,082 --> 00:25:06,690
GUEST SPEAKER: Or how does
something spread, like a virus?

620
00:25:06,690 --> 00:25:08,320
That's a cool idea, too.

621
00:25:08,320 --> 00:25:09,380
Something to think about.

622
00:25:09,380 --> 00:25:09,963
Keep thinking.

623
00:25:09,963 --> 00:25:10,600
You're on it.

624
00:25:10,600 --> 00:25:11,860
Good, good, good.

625
00:25:11,860 --> 00:25:13,800
AUDIENCE: Virus.

626
00:25:13,800 --> 00:25:16,041
ANDREA: And you are?

627
00:25:16,041 --> 00:25:17,035
ANAMA: Anama.

628
00:25:17,035 --> 00:25:20,017
ANDREA: Those are some
really cool names.

629
00:25:20,017 --> 00:25:21,020
GIANNA: Thank you.

630
00:25:21,020 --> 00:25:21,740
ANDREA: And?

631
00:25:21,740 --> 00:25:22,460
GIANNA: Gianna.

632
00:25:22,460 --> 00:25:23,279
ANDREA: Gianna.

633
00:25:23,279 --> 00:25:24,695
PROFESSOR: So,
we're going to have

634
00:25:24,695 --> 00:25:25,430
to move a little quickly,
because we've got

635
00:25:25,430 --> 00:25:26,865
two teams to talk about, so--

636
00:25:26,865 --> 00:25:27,990
AUDIENCE: You can go first.

637
00:25:27,990 --> 00:25:31,020
AUDIENCE: All right,
introduction first.

638
00:25:31,020 --> 00:25:32,470
I'm a first year here at MIT.

639
00:25:32,470 --> 00:25:35,405
I like to study math,
physics, and education.

640
00:25:35,405 --> 00:25:37,500
I've said it too much.

641
00:25:37,500 --> 00:25:40,370
And I'm going to just
pitch the idea right away.

642
00:25:40,370 --> 00:25:42,530
Normally, I would ask
you guys what you like.

643
00:25:42,530 --> 00:25:46,020
But the question that I would
like to discuss in the video

644
00:25:46,020 --> 00:25:52,038
is whether math is
actually real and true.

645
00:25:52,038 --> 00:25:55,370
And the thing is that
mathematicians have proved

646
00:25:55,370 --> 00:25:57,180
that they can never prove that.

647
00:25:57,180 --> 00:26:00,060
So we can never know for
sure if math is true.

648
00:26:00,060 --> 00:26:02,450
Even arithmetic, you know,
it's worked for us so well.

649
00:26:02,450 --> 00:26:06,212
Two plus two is
always four, it seems.

650
00:26:06,212 --> 00:26:10,050
But that may not be true.

651
00:26:10,050 --> 00:26:12,400
I guess that's kind of the
question I wanted to address.

652
00:26:12,400 --> 00:26:14,940
And out of that it
also comes, you know,

653
00:26:14,940 --> 00:26:16,700
can machines be
smarter than humans?

654
00:26:16,700 --> 00:26:19,790
And can robots
overtake the world?

655
00:26:19,790 --> 00:26:23,916
Just things like
that, so any thoughts?

656
00:26:23,916 --> 00:26:25,790
PROFESSOR: So those were
three topics, right?

657
00:26:25,790 --> 00:26:27,560
AUDIENCE: So that was one topic.

658
00:26:27,560 --> 00:26:31,617
All those questions kind
of come out of that.

659
00:26:31,617 --> 00:26:33,075
PROFESSOR: Those
are big questions.

660
00:26:33,075 --> 00:26:35,550
GIANNA: Are we supposed
to say something?

661
00:26:35,550 --> 00:26:37,050
PROFESSOR: What do
you guys respond?

662
00:26:37,050 --> 00:26:38,790
Do you think any of those
ideas that she mentioned

663
00:26:38,790 --> 00:26:40,520
are things that you would
be like, hey friend,

664
00:26:40,520 --> 00:26:41,060
this is really cool.

665
00:26:41,060 --> 00:26:42,470
You've got to check
out this video.

666
00:26:42,470 --> 00:26:42,920
ANAMA: Mhm.

667
00:26:42,920 --> 00:26:43,370
GIANNA: Yeah.

668
00:26:43,370 --> 00:26:44,245
PROFESSOR: Which one?

669
00:26:44,245 --> 00:26:45,682
ANAMA: The robot thing.

670
00:26:45,682 --> 00:26:47,934
PROFESSOR: Would robots
take over the world?

671
00:26:47,934 --> 00:26:49,600
AUDIENCE: They're all
related, you know?

672
00:26:49,600 --> 00:26:53,170
GIANNA: I like the one
that's like, is it true?

673
00:26:53,170 --> 00:26:55,686
Like, four plus four is eight.

674
00:26:55,686 --> 00:26:56,709
Is that true?

675
00:26:56,709 --> 00:26:58,250
AUDIENCE: So, I'll
tell you a secret.

676
00:26:58,250 --> 00:27:01,170
Even though we cannot tell
that math is true, that's sad,

677
00:27:01,170 --> 00:27:03,810
that also means that robots
cannot overtake the world.

678
00:27:03,810 --> 00:27:05,404
In case you were wondering.

679
00:27:05,404 --> 00:27:06,570
GIANNA: It's still possible.

680
00:27:06,570 --> 00:27:06,830
AUDIENCE: It's not possible.

681
00:27:06,830 --> 00:27:07,955
ANAMA: I changed my answer.

682
00:27:07,955 --> 00:27:09,590
I'm changing it to math.

683
00:27:09,590 --> 00:27:10,710
PROFESSOR: The math one?

684
00:27:10,710 --> 00:27:13,160
But you'll get to the math
one through the robots one.

685
00:27:13,160 --> 00:27:13,450
GIANNA: You know the answer?

686
00:27:13,450 --> 00:27:13,745
AUDIENCE: Yeah.

687
00:27:13,745 --> 00:27:14,453
PROFESSOR: Right?

688
00:27:14,453 --> 00:27:17,770
So do you have any other ideas,
or was this the big ideas?

689
00:27:17,770 --> 00:27:19,130
AUDIENCE: That was the big one.

690
00:27:19,130 --> 00:27:20,990
PROFESSOR: So you
think if she talks

691
00:27:20,990 --> 00:27:23,330
about the idea of
could robots overtake

692
00:27:23,330 --> 00:27:25,040
the world, and through
that she answers

693
00:27:25,040 --> 00:27:27,490
some of the questions about
math being true or not true,

694
00:27:27,490 --> 00:27:28,830
that would be really cool?

695
00:27:28,830 --> 00:27:29,410
GIANNA: Yeah.

696
00:27:29,410 --> 00:27:32,015
ANAMA: I don't think robots
could take over the world.

697
00:27:32,015 --> 00:27:33,500
PROFESSOR: You don't think so?

698
00:27:33,500 --> 00:27:34,500
AUDIENCE: They couldn't.

699
00:27:34,500 --> 00:27:37,678
GIANNA: Wait, what about that
weird robot with the face

700
00:27:37,678 --> 00:27:38,824
that's creepy?

701
00:27:38,824 --> 00:27:41,240
ANAMA: I mean, you can smash
them and they can break down.

702
00:27:41,240 --> 00:27:44,060
GIANNA: But what if
they try to smash you?

703
00:27:44,060 --> 00:27:45,810
AUDIENCE: So, eventually
we'll be smarter.

704
00:27:45,810 --> 00:27:48,390
Because that's kind of what
a mathematician proved,

705
00:27:48,390 --> 00:27:53,170
is that a machine can never be
as smart or do as many things

706
00:27:53,170 --> 00:27:54,584
that we can do.

707
00:27:54,584 --> 00:27:56,000
PROFESSOR: I like
the could robots

708
00:27:56,000 --> 00:27:58,501
take over the world idea with
all this other stuff connected

709
00:27:58,501 --> 00:27:59,000
to it.

710
00:27:59,000 --> 00:28:00,680
I think that's a cool idea.

711
00:28:00,680 --> 00:28:03,005
ANAMA: Do you know
the show Lab Rats?

712
00:28:03,005 --> 00:28:05,210
AUDIENCE: No, I don't.

713
00:28:05,210 --> 00:28:08,930
Well, there's these three humans
who are also a robot thing.

714
00:28:08,930 --> 00:28:13,120
And they have all
kinds of powers,

715
00:28:13,120 --> 00:28:15,630
because there was this guy
that wanted to make them evil

716
00:28:15,630 --> 00:28:16,353
and take over the world.

717
00:28:16,353 --> 00:28:17,978
GIANNA: They don't
want Disney Channel.

718
00:28:17,978 --> 00:28:21,315
ANAMA: It's not Disney
Channel, it's [INAUDIBLE].

719
00:28:21,315 --> 00:28:24,280
And then this person stole them
to make them become heroes.

720
00:28:24,280 --> 00:28:27,510
But what if someone
that invents a robot

721
00:28:27,510 --> 00:28:28,840
gives them all kinds of--

722
00:28:28,840 --> 00:28:29,130
PROFESSOR: Powers?

723
00:28:29,130 --> 00:28:29,540
ANAMA: Yeah, like a laser.

724
00:28:29,540 --> 00:28:31,623
PROFESSOR: That's what she
was saying, that robots

725
00:28:31,623 --> 00:28:33,220
can be really, really smart.

726
00:28:33,220 --> 00:28:34,595
AUDIENCE: But not
as smart as us.

727
00:28:34,595 --> 00:28:37,036
So I guess, eventually,
we'll win if robots

728
00:28:37,036 --> 00:28:38,892
did decide to break down on us.

729
00:28:38,892 --> 00:28:41,100
PROFESSOR: I want to make
sure Andrea gets some time,

730
00:28:41,100 --> 00:28:43,440
so let's hear your ideas.

731
00:28:43,440 --> 00:28:45,360
GIANNA: Do you guys
have any tissues?

732
00:28:45,360 --> 00:28:46,960
PROFESSOR: I'll go get you some.

733
00:28:46,960 --> 00:28:47,200
You keep going.

734
00:28:47,200 --> 00:28:47,280
OK?

735
00:28:47,280 --> 00:28:47,760
AUDIENCE: I'm sorry about that.

736
00:28:47,760 --> 00:28:48,468
ANAMA: That's OK.

737
00:28:51,130 --> 00:28:53,366
ANDREA: So, I already
know the answer for you.

738
00:28:53,366 --> 00:28:55,240
Are you going to have
to have braces someday?

739
00:28:55,240 --> 00:28:56,830
Do you know?

740
00:28:56,830 --> 00:28:57,519
ANAMA: No.

741
00:28:57,519 --> 00:28:58,060
They're cool.

742
00:28:58,060 --> 00:28:58,640
They look cool.

743
00:28:58,640 --> 00:28:59,020
ANDREA: You want them?

744
00:28:59,020 --> 00:28:59,745
GIANNA: No.

745
00:28:59,745 --> 00:29:00,370
ANAMA: Kind of.

746
00:29:00,370 --> 00:29:01,245
GIANNA: No you don't.

747
00:29:01,245 --> 00:29:02,910
No you don't.

748
00:29:02,910 --> 00:29:05,345
ANDREA: So how long have
you had your braces?

749
00:29:05,345 --> 00:29:08,180
GIANNA: Beginning
of fifth grade.

750
00:29:08,180 --> 00:29:09,980
ANDREA: So you've
had them a while?

751
00:29:09,980 --> 00:29:10,170
GIANNA: Yeah.

752
00:29:10,170 --> 00:29:11,500
ANAMA: I don't even
know if I want braces.

753
00:29:11,500 --> 00:29:11,810
Because you can't eat gum
or anything like that.

754
00:29:11,810 --> 00:29:14,100
GIANNA: Let me see your teeth.

755
00:29:14,100 --> 00:29:15,060
You need braces.

756
00:29:15,060 --> 00:29:16,380
ANAMA: No, I don't.

757
00:29:16,380 --> 00:29:17,930
GIANNA: Yes, you do.

758
00:29:17,930 --> 00:29:21,820
ANDREA: So are you curious about
what they do to your teeth?

759
00:29:21,820 --> 00:29:24,240
GIANNA: Just make them
straight, I guess.

760
00:29:24,240 --> 00:29:26,020
ANDREA: Do you know
how they do that?

761
00:29:26,020 --> 00:29:29,550
ANAMA: Yeah, they
put them together.

762
00:29:29,550 --> 00:29:31,982
GIANNA: But I have
two teeth up here.

763
00:29:31,982 --> 00:29:34,150
ANDREA: And they pulled
them down, right?

764
00:29:34,150 --> 00:29:34,820
GIANNA: Yeah.

765
00:29:34,820 --> 00:29:36,330
ANAMA: You had two teeth
that were flipped up?

766
00:29:36,330 --> 00:29:37,871
GIANNA: I had a
palate expander, too.

767
00:29:40,300 --> 00:29:42,290
PROFESSOR: Tissue.

768
00:29:42,290 --> 00:29:45,330
GIANNA: And it made
me talk like that,

769
00:29:45,330 --> 00:29:47,750
and I couldn't talk for a while.

770
00:29:47,750 --> 00:29:50,160
And it widened my jaw.

771
00:29:50,160 --> 00:29:51,600
I had to key it every night.

772
00:29:51,600 --> 00:29:53,540
It kind of hurt.

773
00:29:53,540 --> 00:29:54,510
You don't want braces.

774
00:29:54,510 --> 00:29:55,260
PROFESSOR: What was it?

775
00:29:55,260 --> 00:29:56,218
I'm sorry, I missed it.

776
00:29:56,218 --> 00:29:57,850
What was your idea?

777
00:29:57,850 --> 00:30:00,140
ANDREA: To talk about
braces, basically what

778
00:30:00,140 --> 00:30:01,425
they're doing to your teeth.

779
00:30:01,425 --> 00:30:02,550
PROFESSOR: Oh, that's cool.

780
00:30:02,550 --> 00:30:03,810
ANAMA: Are they bad
for your teeth also?

781
00:30:03,810 --> 00:30:05,010
ANDREA: Are they
bad for your teeth?

782
00:30:05,010 --> 00:30:05,920
That's a good question.

783
00:30:05,920 --> 00:30:07,836
PROFESSOR: And why don't
more teeth move back?

784
00:30:07,836 --> 00:30:09,810
ANDREA: Why do my
teeth move, and what

785
00:30:09,810 --> 00:30:12,920
happens when stuff gets in.

786
00:30:12,920 --> 00:30:14,720
I just got my braces
off in October.

787
00:30:14,720 --> 00:30:16,080
PROFESSOR: Good for you.

788
00:30:16,080 --> 00:30:17,170
ANDREA: Yeah.

789
00:30:17,170 --> 00:30:19,002
GIANNA: My dad has
instructed me to get

790
00:30:19,002 --> 00:30:22,210
them changed every month, but
it's been like three months.

791
00:30:22,210 --> 00:30:24,620
PROFESSOR: So what's actually
going on with your braces?

792
00:30:24,620 --> 00:30:27,030
That's a cool, very
age-relevant relevant topic.

793
00:30:27,030 --> 00:30:28,571
ANAMA: But instead
of getting braces,

794
00:30:28,571 --> 00:30:31,055
can't you get that
plastic thing?

795
00:30:31,055 --> 00:30:32,180
ANDREA: Yeah, the aligners.

796
00:30:32,180 --> 00:30:34,741
GIANNA: Do you have
to wear a retainer?

797
00:30:34,741 --> 00:30:35,240
I

798
00:30:35,240 --> 00:30:37,829
ANDREA: Have to wear a retainer.

799
00:30:37,829 --> 00:30:40,120
PROFESSOR: I know one of my
friends who had them, still

800
00:30:40,120 --> 00:30:41,394
wears this retainer.

801
00:30:41,394 --> 00:30:43,060
ANAMA: Do you have
to wear it every day?

802
00:30:43,060 --> 00:30:43,980
GIANNA: If you don't wear it,
they can get crooked again.

803
00:30:43,980 --> 00:30:46,134
ANAMA: Every day for
the rest of your life?

804
00:30:46,134 --> 00:30:47,800
PROFESSOR: I am proof
of that, actually.

805
00:30:47,800 --> 00:30:48,425
ANAMA: For the
rest of your life?

806
00:30:48,425 --> 00:30:49,930
PROFESSOR: That if you
don't wear your retainer,

807
00:30:49,930 --> 00:30:50,872
your teeth do go back.

808
00:30:50,872 --> 00:30:52,580
GIANNA: Do you have
to wear it in school?

809
00:30:55,274 --> 00:30:57,050
ELIZABETH CHOE: I
had braces twice.

810
00:30:57,050 --> 00:30:57,940
PROFESSOR: See?

811
00:30:57,940 --> 00:30:59,940
ELIZABETH CHOE: I still
wear retainers at night.

812
00:30:59,940 --> 00:31:02,870
PROFESSOR: And they give
kids braces so young, now.

813
00:31:02,870 --> 00:31:04,620
You can be in third
grade and have braces,

814
00:31:04,620 --> 00:31:06,536
whereas, when I was a
kid, you didn't get them

815
00:31:06,536 --> 00:31:07,644
until high school.

816
00:31:07,644 --> 00:31:09,066
Third grade?

817
00:31:09,066 --> 00:31:11,241
PROFESSOR: Yeah.

818
00:31:11,241 --> 00:31:12,990
I've seen lots of
little kids with braces.

819
00:31:12,990 --> 00:31:15,115
And you're like, your teeth
are so little and you--

820
00:31:15,614 --> 00:31:17,660
ANAMA: You have
to wear retainers

821
00:31:17,660 --> 00:31:18,752
for the rest of your life.

822
00:31:18,752 --> 00:31:19,710
PROFESSOR: For a while.

823
00:31:19,710 --> 00:31:21,415
GIANNA: What about
that thing that goes--

824
00:31:21,415 --> 00:31:21,790
PROFESSOR: The headgear?

825
00:31:21,790 --> 00:31:22,930
ANDREA: The headgear.

826
00:31:22,930 --> 00:31:24,680
ANAMA: Oh, did you
have to wear like that?

827
00:31:24,680 --> 00:31:26,710
That's so gross.

828
00:31:26,710 --> 00:31:27,704
ANDREA: Willy Wonka?

829
00:31:27,704 --> 00:31:28,620
ANAMA: It looks weird.

830
00:31:28,620 --> 00:31:30,880
ANDREA: Charlie and
the Chocolate Factory,

831
00:31:30,880 --> 00:31:34,640
where he wears [INAUDIBLE].

832
00:31:34,640 --> 00:31:36,520
ANAMA: It makes you
talk weird, too.

833
00:31:36,520 --> 00:31:38,436
PROFESSOR: We're actually
really good on time.

834
00:31:39,834 --> 00:31:41,500
ELIZABETH CHOE: OK,
everybody, it's time

835
00:31:41,500 --> 00:31:42,955
to stop what you're doing.

836
00:31:45,865 --> 00:31:47,920
PROFESSOR: I heard some
amazing conversations.

837
00:31:47,920 --> 00:31:52,020
And you sixth-graders
asked fantastic questions.

838
00:31:52,020 --> 00:31:53,430
We're just wrapping up.

839
00:31:53,430 --> 00:31:55,513
I'd love to hear from a
couple groups of students,

840
00:31:55,513 --> 00:31:57,020
the sixth-graders.

841
00:31:57,020 --> 00:31:59,840
What were some of the
best ideas that you

842
00:31:59,840 --> 00:32:01,730
heard all day,
that you're like, I

843
00:32:01,730 --> 00:32:03,360
can't wait for the
video to come out.

844
00:32:03,360 --> 00:32:04,755
I really want to watch it.

845
00:32:04,755 --> 00:32:07,830
And maybe hear any ideas that
you're really exited about.

846
00:32:07,830 --> 00:32:08,330
Yeah?

847
00:32:08,330 --> 00:32:09,300
AUDIENCE: The navy one.

848
00:32:09,300 --> 00:32:09,770
PROFESSOR: The navy one?

849
00:32:09,770 --> 00:32:10,353
What about it?

850
00:32:10,353 --> 00:32:11,100
What did he--

851
00:32:11,100 --> 00:32:12,310
AUDIENCE: With the torpedoes.

852
00:32:12,310 --> 00:32:14,027
PROFESSOR: Torpedo.

853
00:32:14,027 --> 00:32:14,526
Interesting.

854
00:32:14,526 --> 00:32:15,402
AUDIENCE: [INAUDIBLE]

855
00:32:15,402 --> 00:32:17,317
PROFESSOR: The idea of
watching things blow up

856
00:32:17,317 --> 00:32:18,412
is exciting to you?

857
00:32:18,412 --> 00:32:19,710
Yes.

858
00:32:19,710 --> 00:32:20,692
What else?

859
00:32:20,692 --> 00:32:24,445
AUDIENCE: I liked the idea with
the robot and [INAUDIBLE] talk

860
00:32:24,445 --> 00:32:27,580
and Wi-Fi and stuff and
you can play with it

861
00:32:27,580 --> 00:32:28,900
and run around with it.

862
00:32:28,900 --> 00:32:30,150
I'd like to have seen it move.

863
00:32:30,150 --> 00:32:31,941
PROFESSOR: So you're
excited about learning

864
00:32:31,941 --> 00:32:33,600
more about robotics
and how they work?

865
00:32:33,600 --> 00:32:34,567
AUDIENCE: Yeah.

866
00:32:34,567 --> 00:32:35,900
PROFESSOR: Anyone else have one?

867
00:32:35,900 --> 00:32:36,858
ELIZABETH CHOE: Gianna?

868
00:32:36,858 --> 00:32:37,704
PROFESSOR: Yeah.

869
00:32:37,704 --> 00:32:38,186
GIANNA: I have three.

870
00:32:38,186 --> 00:32:39,150
PROFESSOR: Pick one.

871
00:32:39,150 --> 00:32:42,202
Pick your best.

872
00:32:42,202 --> 00:32:43,547
GIANNA: I like the braces.

873
00:32:43,547 --> 00:32:45,380
PROFESSOR: So you have
braces, understanding

874
00:32:45,380 --> 00:32:48,220
what braces do to your
teeth and how they work.

875
00:32:48,220 --> 00:32:49,710
That's cool, if
you've got braces,

876
00:32:49,710 --> 00:32:52,020
so that would be interesting.

877
00:32:52,020 --> 00:32:55,440
AUDIENCE: Someone said
something about volcanoes.

878
00:32:55,440 --> 00:32:57,220
PROFESSOR: The
volcanoes, understanding

879
00:32:57,220 --> 00:32:59,250
if there's a volcano
underneath your house.

880
00:32:59,250 --> 00:33:00,520
That was a cool idea.

881
00:33:00,520 --> 00:33:03,160
Is there lava under
my house, right?

882
00:33:03,160 --> 00:33:04,400
Yikes.

883
00:33:04,400 --> 00:33:07,120
Sixth grade, any advice
to our MIT students

884
00:33:07,120 --> 00:33:09,200
before they take
your good feedback

885
00:33:09,200 --> 00:33:10,620
and turn them into videos?

886
00:33:10,620 --> 00:33:12,286
Anything you want to
make sure that they

887
00:33:12,286 --> 00:33:15,005
know to do or not to do as
they take your good ideas

888
00:33:15,005 --> 00:33:19,540
and over the next month develop
them into actual movies?

889
00:33:19,540 --> 00:33:23,400
AUDIENCE: Use
picture ideas instead

890
00:33:23,400 --> 00:33:26,264
of talking to them, like
show examples so they

891
00:33:26,264 --> 00:33:26,992
can memorize it.

892
00:33:26,992 --> 00:33:29,492
PROFESSOR: So we talked about
that, MIT students, yesterday,

893
00:33:29,492 --> 00:33:30,930
the idea of showing,
don't telling,

894
00:33:30,930 --> 00:33:33,114
which I'm sure you guys talk
about in your writing a lot,

895
00:33:33,114 --> 00:33:33,270
right?

896
00:33:33,270 --> 00:33:34,228
Showing, don't telling.

897
00:33:34,228 --> 00:33:35,225
Cool.

898
00:33:35,225 --> 00:33:37,165
AUDIENCE: Don't ask
too many questions,

899
00:33:37,165 --> 00:33:40,560
like when we watch one video
and it asks a ton of questions.

900
00:33:40,560 --> 00:33:42,500
And we didn't really
understand it.

901
00:33:42,500 --> 00:33:45,410
PROFESSOR: You mean asking
the audience question?

902
00:33:45,410 --> 00:33:47,471
AUDIENCE: Yeah, like
saying, what does this do?

903
00:33:47,471 --> 00:33:48,320
What does this do?

904
00:33:48,320 --> 00:33:50,760
If they're just saying one
thing and then show it.

905
00:33:50,760 --> 00:33:52,289
PROFESSOR: So
asking your audience

906
00:33:52,289 --> 00:33:53,580
too many questions is annoying.

907
00:33:53,580 --> 00:33:55,955
AUDIENCE: Yeah.

908
00:33:55,955 --> 00:33:57,610
PROFESSOR: You
first, and then you.

909
00:33:57,610 --> 00:33:58,830
AUDIENCE: Be original.

910
00:33:58,830 --> 00:34:01,582
PROFESSOR: Be original, so
try and have a new idea.

911
00:34:01,582 --> 00:34:02,568
And what else?

912
00:34:02,568 --> 00:34:06,512
AUDIENCE: While you explain
how things work, try and make

913
00:34:06,512 --> 00:34:10,124
some jokes while you do it,
so your audience laughs at it

914
00:34:10,124 --> 00:34:13,339
and they understand what
you're talking about.

915
00:34:13,339 --> 00:34:14,130
PROFESSOR: Awesome.

916
00:34:14,130 --> 00:34:15,860
Last one.

917
00:34:15,860 --> 00:34:18,019
AUDIENCE: Don't use
a monotonous pitch.

918
00:34:18,019 --> 00:34:18,810
PROFESSOR: Awesome.

919
00:34:18,810 --> 00:34:21,800
Change your voice around and
make it more interesting.

920
00:34:21,800 --> 00:34:24,210
MIT students, I'm curious
from you what was valuable

921
00:34:24,210 --> 00:34:25,900
that you got from
the sixth-graders

922
00:34:25,900 --> 00:34:29,826
today, to give them some
feedback about this experience.

923
00:34:29,826 --> 00:34:31,929
Did anyone get
really good feedback?

924
00:34:31,929 --> 00:34:33,922
AUDIENCE: Yeah,
well, I found that--

925
00:34:33,922 --> 00:34:35,296
and I should have
realized this--

926
00:34:35,296 --> 00:34:38,976
is that having robots stomping
around and destroying a city

927
00:34:38,976 --> 00:34:41,605
is way more fun than showing
old people doing math.

928
00:34:41,605 --> 00:34:43,854
PROFESSOR: Robots are more
than old people doing math.

929
00:34:43,854 --> 00:34:45,873
Huh.

930
00:34:45,873 --> 00:34:48,164
AUDIENCE: I, too, learned
that my tastes are different,

931
00:34:48,164 --> 00:34:52,696
that lava and volcanoes are a
lot more interesting than food

932
00:34:52,696 --> 00:34:54,612
decomposing.

933
00:34:54,612 --> 00:34:56,528
PROFESSOR: He wanted
to show food rotting,

934
00:34:56,528 --> 00:34:58,124
and everyone
thought that was not

935
00:34:58,124 --> 00:35:00,839
as fun as volcanoes exploding.

936
00:35:00,839 --> 00:35:03,150
Any other thing from
the MIT students

937
00:35:03,150 --> 00:35:04,958
that you found helpful?

938
00:35:04,958 --> 00:35:05,458
Yeah.

939
00:35:05,458 --> 00:35:09,168
AUDIENCE: I was
kind of-- it helped

940
00:35:09,168 --> 00:35:13,174
me to know how much people in
sixth grade know about some

941
00:35:13,174 --> 00:35:15,808
of the really complicated
subjects that we're using,

942
00:35:15,808 --> 00:35:16,985
learning here.

943
00:35:16,985 --> 00:35:17,776
PROFESSOR: Awesome.

944
00:35:17,776 --> 00:35:20,025
We had to do a conversation
about sinking and floating

945
00:35:20,025 --> 00:35:21,683
and how do boats even work.

946
00:35:21,683 --> 00:35:23,800
It was awesome.

947
00:35:23,800 --> 00:35:25,697
Well, we can't thank
you sixth-graders

948
00:35:25,697 --> 00:35:26,905
enough for coming here today.

949
00:35:26,905 --> 00:35:27,879
So helpful.

950
00:35:27,879 --> 00:35:28,853
Thank you.

951
00:35:28,853 --> 00:35:31,288
[APPLAUSE]

952
00:35:31,288 --> 00:35:33,730
And then, we'll be in
touch with you guys

953
00:35:33,730 --> 00:35:35,786
to let you know how we
get our ideas developed.

954
00:35:35,786 --> 00:35:38,266
ELIZABETH CHOE: And the videos
that you guys made with me

955
00:35:38,266 --> 00:35:39,754
last month are almost finished.

956
00:35:39,754 --> 00:35:42,234
Carrie is almost
finished with them today.

957
00:35:42,234 --> 00:35:44,218
So I will send those
over to your teachers

958
00:35:44,218 --> 00:35:46,676
and you can watch them
some time this week.

959
00:35:46,676 --> 00:35:48,300
PROFESSOR: Any
directions from teachers

960
00:35:48,300 --> 00:35:49,950
before they leave the room?

961
00:35:49,950 --> 00:35:51,210
And coming up next?

962
00:35:51,210 --> 00:35:54,235
AUDIENCE: Nope, just
make one long single line

963
00:35:54,235 --> 00:35:56,110
so I can count before
you leave the building.

964
00:35:56,110 --> 00:35:57,560
And then I'll count
you on the bus again.

965
00:35:57,560 --> 00:35:59,003
PROFESSOR: Check for jackets
and all of those things.

966
00:35:59,003 --> 00:36:00,764
But have a safe trip back home.

967
00:36:00,764 --> 00:36:02,097
AUDIENCE: Did you say thank you?

968
00:36:02,097 --> 00:36:02,951
AUDIENCE: Thank you.

969
00:36:02,951 --> 00:36:05,640
AUDIENCE: Thank you so much.