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The Incredible Machine (1968)
Retrotari
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5 weeks ago
A film detailing advancements in computer/digital technology, featuring the 'Graphic 1' computer system at Bell Telephone Laboratories.
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Tech
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00:00
The
00:03
The
00:10
The
00:15
The
00:22
The
00:26
The
00:28
We are at the beginning of a new wave of research.
00:42
Our creative powers are being stretched.
00:48
We're learning surprising things about how we sense the world around us.
00:56
Exploring the mysteries of the spoken word.
01:01
Nice, nice, nice, nice, nice, nice, nice, nice, nice, nice.
01:16
It appears to us that the resistors should track very well with one another.
01:19
So I think in the first go around here, we should make all the resistors variable.
01:24
These men are design engineers at Bell Telephone Laboratories, the research and development
01:29
part of the Bell system.
01:32
They're about to engage a new breed of computer called Graphic One in a dialogue that will
01:37
test the ingenuity of both men and machine.
01:41
It's a new way of working out abstract problems in the age-old medium of drawings and designs,
01:46
which explains why the technique is called computer graphics.
01:51
The researchers have an idea for a telephone filter circuit they want to try out.
01:55
But they need a ready answer for the problem.
01:58
If they do this, what will happen?
02:01
They could spend many hours in the workshop building and testing the real thing.
02:05
Instead, they'll draw their circuit directly on Graphic One's cathode ray tube.
02:11
The operator talks to the computer with an electronic light pen, which does a precise and easy job
02:17
of assembling the symbolic parts of the design.
02:20
Diodes, resistors, transformers, and all are automatically positioned by the pen, connecting
02:26
them as it goes along.
02:28
I think the drawing will be much more readable if we place that three terminal device down
02:32
in the lower right-hand corner.
02:33
If they change their plan, that's no problem either.
02:42
There's no need to memorize complex rules, for the computer signals the action when it's
02:47
ready.
02:49
If the researchers have done a good job of programming what they want the design to do,
02:53
the computer is quick to point out any breakdown in their logic.
02:57
The design is complete.
03:20
But will it work?
03:22
At this stage, a remotely located master computer takes over the job of calculating
03:27
the performance curves of the circuit.
03:29
Okay, let's go.
03:32
All right.
03:34
I think it looks good.
03:43
We certainly don't have to worry about the amplifier we're using based on this.
03:49
On some of these letter things here, we're not doing it right.
03:51
It's too gray.
03:53
How much trouble is it to get that change to some other color?
03:56
Let's find the right place in the program.
03:58
Make the appropriate change and we'll run the whole thing again.
04:01
Let's make bug A go, what would you say, down one square and right one square.
04:08
So you see what we'll get there is the program going through these lines.
04:11
A consulting graphic artist and a Bell Laboratory scientist are collaborating on an idea for an
04:17
experimental computer-made movie.
04:19
That come out of it.
04:20
Okay.
04:21
And this idea of you being able to program something so we know what it's supposed to
04:24
do.
04:25
And what I get a great deal of response out of is you don't know what it's exactly going
04:28
to do in terms of images.
04:29
It's interesting to me that you say the unexpected things that happen.
04:32
Yeah.
04:33
Because in a sense, the computer has done exactly what you told it to do, right?
04:38
Their shooting script is an intricate set of instructions written in one of several programming
04:43
languages available.
04:45
This one is B-Flix, short for Bell Labs Flix.
04:51
This is an excerpt from a B-Flix computer movie showing how the script, now a deck of punch
04:56
cards with all the cues typed in, is fed into the computer, winding up as a reel of recorded
05:02
tape.
05:05
Hi, Bernie?
05:06
Yes, sir?
05:07
I've got another B-Flix movie here on two reels.
05:09
Can you possibly do it now?
05:10
Sure, Ken.
05:11
Great.
05:12
That's the second half.
05:13
All right.
05:14
And this is the first one.
05:15
All right.
05:16
Fine.
05:17
We'll run it right now.
05:18
How do you want these run, Ken?
05:19
We'll run it just halfway between F5.6 and F8.
05:23
Leave it perfectly in focus.
05:34
Under computer control now, the taped information is converted into rapidly moving pictures
05:39
made up of a fine mosaic of points of varying light intensity.
05:44
A synchronized movie camera automatically photographs the fast moving images as they are
05:49
plotted and drawn on the face of a cathode ray tube.
05:50
Plotted and drawn on the face of a cathode ray tube.
05:56
I can barely make up of a cathode ray tube.
05:57
Except the crystal ball.
05:58
I can barely make it.
05:59
We can barely make it that way.
06:00
So you don't have to work with a cathode ray tube.
06:01
I can barely make this cut into multiple directions now.
06:02
It's too thin.
06:03
We'll try to know more.
06:04
I can barely make it.
06:05
Let's do it.
06:06
I can barely make it.
06:07
It's too soon to do it.
06:08
And a few points before we go, we have to break it down.
06:09
It's just the highest one point where you want it.
06:10
So you can't do it.
06:11
It's up to a vocabulary.
06:12
It's a great way.
06:13
It's a great idea.
06:14
It's a little bit heavy.
06:15
It's a little bit loose.
06:16
It's a little bitioso.
06:17
It's a little bit ali.
06:18
I want to reach out to this technology.
06:32
I want to incorporate this technology into my art
06:35
and have the two mixed together.
06:38
For instance, what spellbinds me as an idea
06:39
is that I'll be able to sit someplace in a railroad station
06:42
and write a movie,
06:44
or maybe even pick up a telephone eventually and write a movie.
06:48
Besides creating unique visual effects,
06:56
computer movies can be used to show phenomena we can't directly see.
07:01
This film describes the motion of a communication satellite.
07:05
By studying it, scientists can obtain new insight
07:08
into the satellite's stabilizing system.
07:11
Only a man orbiting alongside could observe it the same way.
07:18
Experimenters in visual perception are using computers
07:28
to create weird, random patterns that never occur in real life
07:32
to find out what and how people see when these patterns are shown to them.
07:37
These patterns are curiously reminiscent of the pointillism
07:41
of the 19th century artist Seurat,
07:44
whose beautifully integrated paintings are formed
07:46
by countless computer-like dots and dashes.
07:49
The art of Seurat is an incredibly methodical technique
07:53
that produced only a dozen or so paintings in his lifetime.
07:56
Today, researchers are generating that many in a single day.
08:09
The shape and texture of perceived objects are studies
08:12
that look deep into the future of communications.
08:15
When we learn to separate the relevant from irrelevant in visual information,
08:21
we'll be on the way to sending three-dimensional color picture messages
08:24
over ordinary telephone lines.
08:26
And then we found that when you get back far enough,
08:51
not only do the small pictures disappear
08:53
because you're not close enough to see them individually,
08:56
and the big picture comes across.
08:58
But if you get even further back,
09:00
then the picture takes on a continuous tone quality
09:03
as though it were a photograph
09:04
rather than being a very crude, computer-generated,
09:07
spatially quantized thing.
09:09
One of the interesting things to me was that
09:11
you can draw quite a distinguishable picture
09:14
on just an 11 by 11 array of black spots and white spots.
09:26
The entire musical score accompanying this film
09:31
was composed on a computer that can produce nearly endless variations of sounds.
09:36
We're interested in finding better ways of describing complicated sounds like speech.
09:42
However, speech is still very complicated.
09:46
Music is simpler, and some of the methods which we're using here to describe music in terms of a graphical function
09:55
can also be used for speech, and we can find out a great deal by studying these simpler sounds.
10:01
Programming the score is like composing for conventional musical instruments,
10:15
except that notes are replaced by numbers.
10:18
The computer converts these numbers into impulses
10:21
that cause sound waves to come directly from a loudspeaker.
10:25
What actually happens when we hear sounds?
10:40
We know that the membrane of the inner ear changes sound waves into audible sensations.
10:45
But until recently, no one had seen the whole inner ear in action.
10:50
When sound waves strike the membrane,
10:53
it makes thousands of microscopic movements per second.
10:57
Only by computer could they be calculated
11:00
and for the first time pictorially described.
11:04
It takes several minutes of this motion
11:06
to draw the simple sound of yes.
11:10
Since the model of the inner ear is being expressed
11:14
mathematically, it can be pictured in different ways.
11:19
In this 3D version, the membrane is given a spiral shape,
11:23
recoiling as it receives shocks from simulated sound waves.
11:27
Now, aside from some of the standard problems of showing three-dimensional movies,
11:35
when we show these movies up in Boston,
11:37
I think some of the people up there were quite interested and excited in what they saw.
11:41
Yes, I suppose that, as an educational tool, it's very good.
11:44
It allows people to see things which only mathematicians could see before.
11:48
And, in fact, the people who seemed most interested were the medical doctors and people like audiologists.
11:57
Human speech, seemingly so simple, is a very complicated process no one fully understands.
12:05
To be, or not to be, that is the question.
12:10
Whether it is no more in the wild to suffer the swings and arrows of outrageous fortune,
12:17
or to take arms against a sea of troubles, and by opposing end them, to die, to sleep.
12:26
Those words were spoken by a digital computer, programmed to simulate a speaking machine.
12:32
Much of what we know about voice and speech is stored in the computer's memory.
12:37
From there, we can experiment with more advanced ideas in areas that are still unknown.
12:43
Take stress.
12:45
How do we always seem to know just which parts of spoken words to emphasize?
12:51
Ruth, let's try to synthesize that sentence.
12:54
Okay, do you want monotone pitch?
12:56
Let's hear it on monotone first.
12:58
Okay.
12:59
Scientists can only begin to explain how we speak.
13:03
We stress words without thinking, giving them fine shadings of pitch and intensity.
13:10
I like my glossy black.
13:13
Let's see if you can change that stress on my.
13:16
How about on my and black? Would that be all right?
13:20
Fine, let's try it.
13:24
When phonetic symbols are fed to the synthesizer, it combines them into intelligible speech.
13:31
I like my glossy black.
13:34
I like my glossy black.
13:37
Well, there's more inflection on it, but let's see if we can improve this.
13:41
Why don't we look at the pitch curve now?
13:43
Well, I think I'll try to make the inflection on black a little bit stronger.
13:52
I like my glossy black.
13:56
Let's see if I can improve that.
14:00
I like my glossy black.
14:04
The art of computer graphics is only in its infancy.
14:08
Yet it is already stimulating creative thought in far out areas where research is likely to get complex and unwieldy.
14:16
It offers not only the means to quicken the pace of discovery, but an ideal way of communicating what we may discover.
14:25
It offers not only the use of the
14:51
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