You are a simulation & physics can prove it: George Smoot at TEDxSalford
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0:16 - 0:18Thank you,
it's a pleasure to be here. -
0:18 - 0:21They asked me if I wanted
a drink before I came on -
0:21 - 0:23and I asked for a pint
but they gave me water. -
0:23 - 0:25(Laughter)
-
0:25 - 0:27So, following the other speakers
I have a change of pace, -
0:27 - 0:29a little bit of a fun talk.
-
0:29 - 0:33And what I am going try and do
is convince you you're a stimulation, -
0:33 - 0:35and that physics can prove it, okay?
-
0:35 - 0:36(Laughter)
-
0:36 - 0:40So, instead of a usual uplifting talk,
this is a different kind of talk. -
0:40 - 0:43Okay, so, there's one thing
you know for certain, -
0:43 - 0:46that is that you exist as
a flesh and blood human being; -
0:46 - 0:49my goal is to convince
you otherwise. Okay? -
0:50 - 0:52So, logic is not going to be enough,
-
0:52 - 0:55you guys are going
to be simulation deniers, -
0:56 - 0:58there's just no way round it.
-
0:58 - 1:02So, my actual goal will be to actually
create a sliver of doubt in your minds, -
1:02 - 1:06so that you actually think about this,
and what it might mean. Okay? -
1:07 - 1:09So, here's is the first check
about simulations. -
1:10 - 1:12How many of you have ever
played a computer game? -
1:12 - 1:13Just raise your hands.
-
1:13 - 1:15Ah, alright.
-
1:15 - 1:19So, did you do it against simulated player
or simulated players? -
1:19 - 1:23Or, in fact, was it you, several people
plus simulated people? -
1:23 - 1:27Right. And what role did you take?
Was it a pawn or a hero? -
1:27 - 1:31What role do you have in life?
Is it pawn or hero? -
1:31 - 1:33Right.
Are you the king, for example? -
1:33 - 1:34(Laughter)
-
1:34 - 1:37I don't see him here... but...
-
1:39 - 1:41Now, the other thing you might ask,
if you were a social scientist, -
1:41 - 1:43or other kind of scientist
like a cosmologist: -
1:43 - 1:46Would you like
to run realistic simulations -
1:46 - 1:49to test and develop your theories?
Likewise for political candidates. -
1:49 - 1:53Right? So, I'm just trying to see
there's motivation for it. -
1:53 - 1:57And then the question is: Are computation
and simulation capabilities -
1:58 - 1:59increasing over time?
-
1:59 - 2:02So, think of the HetNOS,
think about Moore's law, -
2:02 - 2:05think about what computer you had
when you were young -
2:05 - 2:07and what you have on you now,
not that you're not all young still. -
2:07 - 2:10Okay, that's just setting you up
for having the doubt. -
2:11 - 2:14Okay, so we'll take
a little journey into philosophy. -
2:14 - 2:19Solipsism is the idea that one's own mind
is the only thing that's sure to exist. -
2:19 - 2:23It turns out, people
have been studying this for decades, -
2:23 - 2:27and realizes both irrefutable and
indefensible at the same time, -
2:27 - 2:30so have this point of view,
-
2:30 - 2:33and that it's not
a falsifiable hypothesis, -
2:33 - 2:35there are people who work on this issue.
-
2:35 - 2:38So, there doesn't seem to be
any imaginable disproof that you can have, -
2:38 - 2:41so even if you have a Solipsan,
he dies, -
2:41 - 2:44you can't falsify his belief,
because he's not there to do it. -
2:44 - 2:48This is a pragmatic dead end,
it's kind of like what we have on TV now, -
2:48 - 2:52which is, you know,
zombie philosophy. -
2:53 - 2:57But there is an opposite,
that is philosophical zombies. -
2:57 - 3:00There's a slight use
to philosophical zombies. -
3:00 - 3:02So what is the idea here?
-
3:02 - 3:04The philosophical zombie
is a hypothetical being -
3:04 - 3:07that in this thing what
you all thought a normal human being, -
3:07 - 3:10that is everybody you think you are,
you know what you think you are, -
3:10 - 3:15except that it lacks conscious experience,
qualia or sentience. -
3:15 - 3:19So, if you take a philosophical zombie
and poke it with a sharp object, -
3:19 - 3:23it doesn't feel any pain, however,
it behaves exactly as if it does. -
3:23 - 3:26It would say "ouch" and
do all the usual kind of things. -
3:26 - 3:31So, what the zombie is there for,
is to support the idea -
3:31 - 3:34that the world includes two kinds of
things: the mental and the physical, -
3:34 - 3:38or the concepts and
the physical world around you. -
3:38 - 3:40And so that's the idea.
-
3:41 - 3:44So, we have in cosmology, lots of things.
We have the anthropic principal, -
3:44 - 3:47that is, a philosophical concept that
the universe must be compatible -
3:47 - 3:49with conscious life that observes it.
-
3:49 - 3:52And there's a strong version
and a weak version. -
3:52 - 3:56One of them that says the universe is
compelled to have conscious life emerge, -
3:56 - 4:00and the other says that the universe
is fine-tuned for life to be necessary. -
4:00 - 4:06And this is pretty much in line with
a lot of even more specific kind of ideas, -
4:06 - 4:11from conservative Christianity and Islam,
that there's intelligent design, -
4:11 - 4:15or that there could be like a simulation.
I'm working on you... so.... -
4:17 - 4:19And we also have
the idea of multiverses, -
4:19 - 4:22that there are many different kinds...
there's a metauniverse -
4:22 - 4:25and there's many possible universes
inside of it. -
4:25 - 4:28And there are different reasons for that,
quantum mechanics, -
4:28 - 4:31but also a way to explain whether
physical constants happen to be the ones -
4:31 - 4:34that make this auditorium possible.
-
4:34 - 4:38And so, you know, one way
is to have that many real universes, -
4:38 - 4:41the other way is just to make
a lot of simulations. -
4:41 - 4:43So, your choice.
Okay, so now we move on. -
4:43 - 4:46Here's the crux of the arguments,
-
4:46 - 4:49and these arguments have been around
for more than 30 years, -
4:49 - 4:52they were first published 30 years ago,
-
4:53 - 4:55and what people
went to a lot of trouble to show, -
4:56 - 4:58that one of these three things
is extremely likely to be true. -
4:58 - 5:01So, you get your choice between
No. 1, No. 2 and No. 3, -
5:01 - 5:04just like the doors,
look what's behind each door. -
5:04 - 5:07The first one is: Human civilization
is unlikely -
5:07 - 5:10to reach a level of technological maturity
-
5:10 - 5:14capable of producing simulated realities,
or it's physically impossible. -
5:14 - 5:17Okay, so we made some progress
in 30 years and I'll mention that. -
5:17 - 5:21The second is: Comparable civilizations
throughout the universe -
5:22 - 5:25which do reach that capability
-
5:25 - 5:28will choose not to make simulations
-
5:28 - 5:32in such a large scale that, in fact,
the probability of being a simulated being -
5:32 - 5:35is much higher than probability
of being a real being. -
5:35 - 5:38So, those are your choices, right --
-
5:39 - 5:42there's some other choices,
but they're extraordinarily unlikely, -
5:42 - 5:44and we can pretty much
rule them out. -
5:44 - 5:48And the 3rd choice is: Any entities
with our general set of experiences -
5:48 - 5:50are almost certainly
to be living in a simulation. -
5:50 - 5:55That would be us. Right? Okay?
In case you guys aren't paying attention. -
5:55 - 5:56(Chuckles)
-
5:56 - 6:00Okay. So, let's talk about
making simulator realities by humans. -
6:01 - 6:03So, will humans produce
realistic simulations? -
6:03 - 6:05And the answer is yes.
-
6:05 - 6:08I have to keep coming back
because I just wrote this talk -
6:08 - 6:10and so I don't remember
what I have to say. -
6:10 - 6:15And, so, the answer to that is clearly
yes, you guys already proved it, -
6:15 - 6:19because there's a lot of money
to be made in making computer games, -
6:19 - 6:21simulated realities.
-
6:21 - 6:24And the better the simulator reality,
the more people you get involved in it. -
6:24 - 6:27There's a lot of entertainment,
we have a lot of animated movies. -
6:27 - 6:29Now, we're going to have
animated interactive movies -
6:29 - 6:32and videos and pornography.
-
6:32 - 6:35So, you know,
you can't rule out pornography, -
6:35 - 6:39in the early days of the Internet,
pornography was the No. 1 commerce, -
6:39 - 6:42it was roughly half the commerce
in the Internet in the early days. -
6:42 - 6:47And even today, 50% of the bits
that are transmitted on the Internet -
6:47 - 6:49are transmitted for porn.
-
6:49 - 6:52So, you can wonder: Why is it?
Well, originally stories -
6:52 - 6:54and then there got to be pictures,
and then there got to be videos, -
6:54 - 6:56pretty soon there'll be
interactive videos. -
6:56 - 6:59So, it's clear there is
a tremendous financial motivation, -
6:59 - 7:01and especially here in Media City,
-
7:01 - 7:04where people make their living
out of these kind of things. -
7:04 - 7:08So, how... I'm not sure which
of the three, But OK. -
7:10 - 7:13How detailed and how accurate
will the simulations be? -
7:13 - 7:16And the answer turns out,
as we know from experience, -
7:16 - 7:18computation power is the first issue,
-
7:18 - 7:20you have to have tremendously good
computation power -
7:20 - 7:22to make a really good quality simulation,
-
7:22 - 7:25and good programming,
that is good software, -
7:25 - 7:27to explain what's going on,
that's the second. -
7:27 - 7:32But, clearly we're making progress,
just look at the games, look at PONG, -
7:32 - 7:36and look at that the kind of video games
we have now. So, we'll see. -
7:37 - 7:39What about simulations
by other civilizations? -
7:39 - 7:43So, now we know a lot more
about this than we did 30 years ago. -
7:43 - 7:45We've made tremendous progress.
-
7:45 - 7:48We've discovered more than
2,000 other stars -
7:48 - 7:50that have planetary systems
around them. -
7:50 - 7:55And we know there is at least on the order
of a billion or more habitable planets -
7:55 - 7:58in our galaxy, and there's about
a 100 billion galaxies -
7:58 - 8:02for around 10^20 to 10^22
depending what your range -
8:02 - 8:07possible sites for life and then
advanced civilizations in the universe. -
8:07 - 8:10So, what are the chances
that the earth is the most advanced, -
8:10 - 8:13the most computationally powerful.
-
8:13 - 8:18Well, the odds, you got to be really,
pretty much thinking you're special, -
8:18 - 8:21to think that the odds are
that we're the top. -
8:25 - 8:31So, the question is:
Will advanced beings run simulations? -
8:32 - 8:35And, in fact, will simulated beings
run simulations? -
8:35 - 8:39If we're simulated, are we running
simulations in our simulations, -
8:39 - 8:43simulations all the way down?
If you know the things. -
8:43 - 8:49So, even the people running our simulation
don't know if they're a simulation or not. -
8:50 - 8:54It's interesting, because
it creates ethics and a bunch of things -
8:54 - 8:57because there might be somebody
watching you. -
8:57 - 9:02So, are ethical considerations
likely to stop every single civilization -
9:02 - 9:06from running simulations and running
large numbers of simulations? -
9:06 - 9:08Well, the answer I think is "no".
-
9:08 - 9:12What if doing simulations is likely to say
what we think are real lives? -
9:12 - 9:14Right? We're willing
to do the simulations -
9:14 - 9:17even though they're being strapped
in that simulation, right? -
9:17 - 9:18Conscious beings.
-
9:18 - 9:21And the other thing you might consider is
how do human beings -
9:21 - 9:23treat what they think
are real human beings. -
9:23 - 9:26How's the ethical treatment on our Earth?
-
9:26 - 9:28And how much more
is society likely to advance -
9:28 - 9:32before we're doing
-
9:32 - 9:36very advanced simulations
of civilizations and beings? -
9:37 - 9:41So, we'll probably all be in a simulation.
The lights are not on enough in here, -
9:41 - 9:43but look to the left
and look to the right, -
9:43 - 9:46if there's anybody here you think
is a real person, this is a random sample, -
9:46 - 9:49then you're probably not.
(Laughter) -
9:51 - 9:54But, you know, If you think you're
a social scientist -
9:54 - 9:56or an anthropologist or something,
and you want to run -
9:56 - 9:58and see how
the civilizations rise and fall, -
9:58 - 10:02you'll run simulations with
up to billions of people. -
10:03 - 10:05And you will run many
of those simulations, -
10:05 - 10:07so it's not so hard to imagine
you'll get up to the level -
10:07 - 10:12of 10^12:1 simulated beings
to unsimulated beings, -
10:12 - 10:15that's why the probability
becomes fairly likely -
10:15 - 10:20that any being that has a behavior
or activities and experiences like us -
10:20 - 10:21is simulated.
-
10:23 - 10:26Sorry, I got some sunscreen in my eye.
-
10:26 - 10:29Put on sunscreen this morning in case
it was an unusual day in England. -
10:29 - 10:32(Laughter)
-
10:32 - 10:34And I got a little in my eye here.
-
10:34 - 10:39So let's talk about how we're going
to do the simulations on the Earth. -
10:40 - 10:42This is part of going back
to convince you -
10:42 - 10:44that we're going to have
realistic simulations -
10:44 - 10:47and we're going to have
artificial reality to go with it. -
10:47 - 10:51So, can we take a real brain
and make it into a virtual mind? -
10:51 - 10:54And the answer is:
So, here is the purple real brain, -
10:54 - 10:57and the neurons behind it,
it's this neural net, -
10:57 - 11:00it's the regional neural net,
as far as we're concerned. -
11:00 - 11:04And then on the left,
yeah your left, -
11:04 - 11:06there is the beginnings
of a mapping of a brain, -
11:07 - 11:10so that I can take and map that brain,
and just place it into a computer. -
11:11 - 11:13So, how's that going to work?
-
11:13 - 11:16The answer is, it's going
to work just fine, -
11:16 - 11:18because we're there to the point
where we can do it now. -
11:18 - 11:23So, here is a high-resolution,
45-minute brain scan -
11:23 - 11:25that was done in February.
-
11:25 - 11:29And 45 minutes, that's how long
you have to hold the person's head still, -
11:29 - 11:31in order to make a map to this level.
-
11:31 - 11:33And what you can see here are the main --
-
11:33 - 11:36Let's see if the laser pointer works --
-- No -- -
11:36 - 11:39So, you can see here the main highways
in your brain. -
11:39 - 11:43They're mapped out by this,
and this is basically an MRI -
11:44 - 11:47I got a scan of my brain done
and I was really impressed, -
11:47 - 11:49to prove that I had a brain,
but one of my friends got an fMRI -
11:49 - 11:53to prove that his brain worked.
(Laughter) -
11:54 - 11:57The thing that's impressive about this
-
11:57 - 12:00is that the MRI's
are getting so good now, -
12:00 - 12:02you can map to
the individual neuron level. -
12:03 - 12:05The problem is there's a lot of neurons,
-
12:05 - 12:07so you have to hold
the head still for a long time, -
12:07 - 12:11and that's an advance in the ability
to do the mapping, -
12:11 - 12:13and also in the software
for doing that mapping. -
12:13 - 12:15And, so, that's where we are today.
-
12:15 - 12:19If we can hold the person still
long enough, if we can find a volunteer -
12:19 - 12:21that we can put, you know,
-
12:21 - 12:25the little plastic thing on their head,
to hold their head still for some days, -
12:25 - 12:28which is a little bit of a problem,
we could probably go ahead -
12:28 - 12:30and map their entire brain,
-
12:30 - 12:33and then just transform
that map into a computer model, -
12:33 - 12:37and we would have that person's mind
downloaded into a computer. -
12:37 - 12:41This is coming and this is coming soon,
-
12:41 - 12:46just like it's now possible for the order
of ÂŁ1,000 to get your DNA mapped, -
12:48 - 12:50it's going to cost you something,
-
12:50 - 12:52in about 30 years
it's going to be possible -
12:52 - 12:56to download your brain into a computer
for about ÂŁ1,000 pounds, -
12:56 - 12:59plus inflation.
(Laughter) -
13:01 - 13:03Could go up, could go down.
Right? -
13:03 - 13:05But there's tremendous advances
in technology -
13:05 - 13:08and these are making it possible
to do things that before we were without. -
13:08 - 13:10So, I have quote from
a Google expert, -
13:10 - 13:14we'll be uploading entire minds
to computers in 2045. -
13:14 - 13:18He also says we'll do bodies too,
I'm thinking we won't do bodies, -
13:18 - 13:22what we'll do is we'll take that mind
and keep it from going out of its mind, -
13:22 - 13:24we'll put it on artificial reality,
-
13:24 - 13:26it's in the computer,
it's going to get bored, -
13:26 - 13:28wants entertainment,
wants social interactions, -
13:28 - 13:30so we're going to
create artificial realities. -
13:30 - 13:33Now, in the old days,
we'd make a thing like that, -
13:33 - 13:35if you remember the matrix.
Right? -
13:35 - 13:37Ones and zeros, now, in fact,
we may use quantum computers, -
13:37 - 13:39so we'll have entangled states,
-
13:39 - 13:42but, in fact, it'll be
some kind of a complicated environment -
13:42 - 13:45where we can interact socially,
because people want to be social, -
13:45 - 13:48so there'll have to be thousands
of people to interact with, -
13:48 - 13:50and there'll have to be
all kinds of other things -
13:50 - 13:52in order to make
that artificial environment -
13:52 - 13:55sort of realistic and keep you going.
-
13:55 - 13:57And remember,
when you download your brain, -
13:57 - 13:59you're going to think
about a million times faster, -
13:59 - 14:01you're going to experience life
about a million times faster. -
14:01 - 14:04It's going to be
a very different kind of a situation. -
14:04 - 14:06You know? The idea of going back
and machines -
14:06 - 14:08and go out in the real world
where things are still slow slow, -
14:08 - 14:11you're going to get tired
of doing that. -
14:11 - 14:17And the size of simulated porn
isn't so good in the real world. -
14:17 - 14:19Okay, so, now,
the other thing I have to do -
14:19 - 14:23is to attack your certainty.
-
14:24 - 14:27So, I have to point out to you,
human beings are not good at figuring out -
14:27 - 14:29if they're real.
-
14:29 - 14:31So, your mind is really not equipped
-
14:31 - 14:34for addressing this
and many other important questions. -
14:34 - 14:36So, the first question
I'm going to give you -
14:36 - 14:39is count the number black dots.
-
14:39 - 14:41(Laughter)
-
14:41 - 14:44It's a still picture and
there's no video. -
14:50 - 14:53Here we go.
You see this picture? -
14:53 - 14:56How many of you see
the horse in the picture? -
14:56 - 14:59How many of you cannot see
the horse in the picture? -
14:59 - 15:02Once you see the horse,
it's hard not to see the horse. -
15:02 - 15:07And I want to show a picture of an object
and ask you: Can it be real? -
15:07 - 15:10And then I'm going to tell you,
it's a photograph, -
15:10 - 15:13the watch is real,
the paper's real, the desk is real, -
15:13 - 15:15Is that object real?
-
15:15 - 15:18Well, it's a photograph,
so it's a real in some sense, -
15:19 - 15:24as is this, and for me,
this object flips back and forth. -
15:26 - 15:34Here's the real version of that, made out
of 2x4s, focused at different angles, -
15:34 - 15:38and you see it's an optical illusion
where your eye puts it together. -
15:38 - 15:42And here's another example, and this is
another example, just for fun, -
15:44 - 15:46because you know it's just rotated,
-
15:46 - 15:49but the first response is:
Phew, that's weird. -
15:49 - 15:51So, here's one you're going
to get the answer to. -
15:51 - 15:53Which of these is longer?
-
15:55 - 15:58So, they're the same. How come?
It doesn't really look that way to you. -
15:58 - 16:02You knew that I was tricking you,
so you understand, -
16:02 - 16:06well, you still look at it, and think,
well, but I'd better check now. -
16:06 - 16:08because I know I'm going
to make mistakes. -
16:08 - 16:10Okay, so one more.
-
16:10 - 16:14I'll skip the lilac chaser
on the other side, -
16:14 - 16:16and just ask you
about the stuff on the right. -
16:16 - 16:18Are those lines straight or not?
-
16:19 - 16:21Well,they are straight,
but to your eyes, -
16:21 - 16:23it's really hard to convince you
they're straight. -
16:23 - 16:27Your brain is set to do other things.
-
16:27 - 16:30Here's another Bayesian reading test --
-
16:31 - 16:32in the land of Bayes
that we do it. -
16:32 - 16:37There's many examples you can give this,
but a cab was involved in a hit-and-run, -
16:37 - 16:39and two cab companies are in the town,
-
16:39 - 16:42green cabs and blue cabs.
-
16:42 - 16:46And they operate:
85% of the cabs are green, 15% are blue. -
16:46 - 16:48The witness says the cab was blue.
-
16:48 - 16:51When he's tested,
he gets it right 80% of the time, -
16:51 - 16:53or she gets it right 80 % of the time.
-
16:53 - 16:56What's the probability
that it really was a blue cab? -
16:56 - 16:59You have to go through
the calculation carefully, -
16:59 - 17:03this is the only equation, usually when
I put equations up people go -- but -- -
17:04 - 17:07it's almost 60% chance
that the cab was green, -
17:07 - 17:10even though this person
gets it 80% right. -
17:10 - 17:13And this is relevant, but
there are other kinds of test like that. -
17:13 - 17:15So, you can have tests
that are even more powerful, -
17:15 - 17:17like the test for breast cancer
is 99% correct; -
17:17 - 17:19it gets the wrong answer
1% of the time. -
17:19 - 17:22But roughly a thousand times
as many people, -
17:22 - 17:26who... you know, 1,000 of the people that
get tested actually have breast cancer, -
17:26 - 17:30so, when you get the first response
that you have breast cancer, -
17:30 - 17:33itćs only a 10% that chance you really do,
it's not to you get the next test. -
17:33 - 17:37But the10%, you know, the 10 people
are freaked out. -
17:37 - 17:41Humans aren't ready for
dealing with that kind of thing. -
17:41 - 17:44Okay, so, it's because
we lack computing power. -
17:44 - 17:47So, we have compromises
in our algorithms, right? -
17:47 - 17:51Humans, therefore, are susceptible
to optical illusions, -
17:51 - 17:53systematic errors in judgment --
I'm running out of time -- -
17:53 - 17:56I should have gone faster --
I got confident -- -
17:56 - 18:00difficulty with complex decisions --
and keeping on time -- -
18:00 - 18:02and the ability to function
in a prehistoric world, -
18:02 - 18:04which was the important one, you know.
-
18:04 - 18:07Only a few percent of the humans
got wiped out, -
18:07 - 18:09before they were able
to reproduce, okay? -
18:09 - 18:12So, simulations are going to make
the same kind or similar approximates. -
18:12 - 18:15So, we have many contradictions.
-
18:15 - 18:18We could see if our physics
is inconsistent, -
18:18 - 18:21then it's likely we're in a simulation,
if physics is self-consistent -
18:21 - 18:24it's more likely we're real,
because it just takes more to do that. -
18:24 - 18:29So, then one of the implications is,
if we're in a simulated environment -
18:29 - 18:32what we're going to do?
Well, we're going to be discretized, -
18:32 - 18:35that is fuzzy on a small scale,
we're going to have entangled states, -
18:35 - 18:38it means quantum mechanics.
We have the holographic principle, -
18:38 - 18:41that everything inside every environment
is enclosed on the surface. -
18:41 - 18:43So, here's an example.
-
18:43 - 18:46The hand and the apple
-
18:46 - 18:49are encoded on a geometrical sheet
but projected into three dimensions, -
18:49 - 18:51that's a way to keep track of everything,
-
18:51 - 18:55and the large scale in space and time
may not match the small scale. -
18:55 - 18:57So, let me finish up.
-
18:57 - 19:00Human beings are ill-equipped
for determining reality. -
19:00 - 19:04Physics, so this is actually
a selling thing for physics, -
19:04 - 19:07is a fundamental test of our realness.
Currently we have contradictions. -
19:07 - 19:11Is that because we're not good
at resolving things, -
19:11 - 19:15or is it because we're in a simulation?
And what would that mean? -
19:15 - 19:17Thank you.
-
19:17 - 19:19(Applause)
- Title:
- You are a simulation & physics can prove it: George Smoot at TEDxSalford
- Description:
-
Are we, human beings, real or are we simulations? Can physics (medical science, anthropology and philosophy) provide an answer?
- Video Language:
- English
- Team:
closed TED
- Project:
- TEDxTalks
- Duration:
- 19:27
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Ivana Korom edited English subtitles for You are a simulation & physics can prove it: George Smoot at TEDxSalford | |
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Ivana Korom edited English subtitles for You are a simulation & physics can prove it: George Smoot at TEDxSalford | |
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Ivana Korom edited English subtitles for You are a simulation & physics can prove it: George Smoot at TEDxSalford | |
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Ivana Korom edited English subtitles for You are a simulation & physics can prove it: George Smoot at TEDxSalford | |
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Ivana Korom edited English subtitles for You are a simulation & physics can prove it: George Smoot at TEDxSalford | |
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TED Translators admin accepted English subtitles for You are a simulation & physics can prove it: George Smoot at TEDxSalford |
Ivana Korom
Generally, please don't include slips of the tongue and mid-sentence changes that do not alter the meaning of the whole sentence. For example, if the speaker says "I can see that there are some-- I can see some buildings here," just transcribe it as "I can see some buildings here" or "I can see that there are some buildings here," depending on which version would be more suitable in terms of reading speed.