Terminal Compromise by Winn Schwartau (my reading book .txt) đź“–
- Author: Winn Schwartau
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the young charismatic founder and spiritual guiding force behind
Apple Computer.
Pierre had heard it before, especially after Max had had a few.
His view of a future world with everyone sitting in front of a
picture tube playing with numbers and more numbers . . .and then
a thought hit him.
“Max . . .Max . . .” Pierre was trying to break into another one
of Max’s Apple pitches.
“Yeah . . .oh yeah, sorry Amigo. What’s that you say?” Max
sipped deeply on a long neck Long Star beer.
“These computers you play with . . .”
“Not play, work with. Work with!” He pointed emphatically at
nothing in particular.
“OK, work with. Can these computers play, er, work with music?”
Max looked quizzically at Pierre. “Music, sure. You just program
it in and out it comes. In fact, the Apple II is the ideal
computer to play music. You can add a synthesizer chip
and . . .”
“What if I don’t know anything about computers?”
“Well, that makes it a little harder, but why doncha let me
show you what I mean.” Max smiled wide. This was what he loved,
playing with computers and talking to people about them. The
subject was still a mystery to the majority of people in 1980.
Pierre winced. He realized that if he took up Max on his offer he
would be subjected to endless hours of computer war stories and
technical esoterica he couldn’t care less about. That may be the
price though, he thought. I can always stop.
Over the following months they became fast friends as Pierre
tutored under Max’s guiding hand. Pierre found that the Apple
had the ability to handle large amounts of data. With the new
program called Visi-Calc, he made large charts of his music and
their numbers and examined their relationships.
As Pierre learned more about applying computers to his studies in
musical theory, his questions of Max and demands of the Apple
became increasingly complex. One night after several beers and a
couple of joints Pierre asked Max what he thought was a simple
question.
“How can we program the Apple so that it knows what each piece of
data means?” he inquired innocently.
“You can’t do that, man.” Max snorted. “Computers, yes even
Apples are stupid. They’re just a tool. A shovel doesn’t know
what kind of dirt it’s digging, just that it’s digging.” He
laughed out loud at the thought of a smart shovel.
Pierre found the analogy worth a prolonged fit of giggles through
which he managed to ask, “but what if you told the computer what
it meant and it learned from there. On its own. Can’t a com-
puter learn?”
Max was seriously stoned. “Sure I guess so. Sure. In theory it
could learn to do your job or mine. I remember a story I read by
John Garth. It was called Giles Goat Boy. Yeah, Giles Goat Boy,
what a title. Essentially it’s about this Goat, musta been a
real smart goat cause he talked and thunk and acted like a kid.”
They both roared at the double entendre of kid. That was worth
another joint.
“At any rate,” Max tried to control his spasmodic chuckles.
“At any rate, there were these two computers who competed for
control of the world and this kid, I mean,” laughing too hard to
breath, “I mean this goat named Giles went on search of these
computers to tell them they weren’t doing a very good job.”
“So, what has that got to do with an Apple learning,” Pierre said
wiping the tears from his eyes.
“Not a damn thing!” They entered another spasm of laughter. “No
really. Most people either think, or like to think that a com-
puter can think. But they can’t, at least not like you and me. ”
Max had calmed down.
“So?” Pierre thought there might still be a point to this conver-
sation.
“So, in theory, yeah, but probably not for a while. 10 years or
so.”
“In theory, what?” Pierre asked. He was lost.
“In theory a machine could think.”
“Oh.” Pierre was disappointed.
“But, you might be able to emulate thinking. H’mmmm.” Max re-
treated into mental oblivion as Abbey Road played in the back-
ground. Anything from Apple records was required listening by
Max.
“Emulate. Emulate? What’s that? Hey, Max. What’s emulate?
Hey Max, c’mon back to Earth. Emulate what?”
Max jolted back to reality. “Oh, copy. You know, act like.
Emulate. Don’t they teach you emulation during sex education in
France?” They both thought that that was the funniest thing
ever said, in any language for all of written and pre-history.
The substance of the evening’s conversation went downhill from
there.
A few days later Max came by Pierre’s loft. “I been thinking.”
“Scary thought. About what?” Pierre didn’t look up from his
Apple.
“About emulating thought. You know what we were talking about
the other night.”
“I can’t remember this morning much less getting shit faced with
you the other night.”
“You were going on and on about machines thinking. Remember?”
“Yes,” Pierre lied.
“Well, I’ve been thinking about it.” Max had a remarkable ability
to recover from an evening of illicit recreation. He could
actually grasp the germ of a stoned idea and let a straight mind
deal with it the following day. “And, I maybe got a way to do
what you want.”
“What do I want?” Pierre tried to remember.
“You want to be able to label all of your music so that to all
appearances each piece of music knows about every other piece of
music. Right?”
“Kinda, yeah, but you said that was impossible . . .” Pierre
trailed off.
“In the true sense, yes. Remember emulation though? Naw, you
were too stoned. Here’s the basic idea.” Max ran over to the
fridge, grabbed a beer and leapt into a bean bag chair. “We
assign a value to every piece of music. For example, in music
we might assign a value to each note. Like, what note it is, the
length of the note, the attack and decay are the raw data.
That’s just a number. But the groupings of the notes are what’s
important. The groupings. Get it?”
Pierre was intrigued. He nodded. Maybe Max did understand after
all. Pierre leaned forward with anticipation and listened intent-
ly, unlike in one ear out the other treatment he normally gave
Max’s sermons.
“So what we do is program the Apple to recognize patterns of
notes; groupings, in any size. We do it in pictures instead of
words. Maybe a bar, maybe a scale, maybe even an entire symphony
orchestra. All 80 pieces at once!” Max’s enthusiasm was conta-
gious. “As the data is put in the computer, you decide what you
want to call each grouping. You name it anything you want. Then
we could have the computer look for similar groupings and label
them. They could all be put on a curve, some graphic of some
kind, and then show how they differ and by how much. Over time,
the computer could learn to recognize rock’n’roll from Opera
from radio jingles to Elevator Music. It’s all in the patterns.
Isn’t that what you want?” Max beamed while speaking excitedly.
He knew he had something here.
Max and Pierre worked together and decided to switch from the
Apple II computer to the new IBM PC for technical reasons beyond
Pierre’s understanding. As they labored, Max realized that if he
got his “engine” to run, then it would be useful for hundreds of
other people who needed to relate data to each other but who
didn’t know much about computers.
In late 1982 Max’s engine came to life on its own. Pierre was
programming in pictures and in pure English. He was getting back
some incredible results. He was finding that many of the popu-
lar rock guitarists were playing lead riffs that had a genealogy
which sprang from Indian polyphonic sitar strains.
He found curious relationships between American Indian rhythms
and Baltic sea farer’s music. All the while, as Pierre searched
the reaches of the musical unknown, Max convinced himself that
everyone else in the world would want his graphical engine, too.
Through a series of contacts within his Big Eight company, Max
was put in touch with Hambrecht Quist, the famed Venture Capital
firm that assisted such high tech startups as Apple, Lotus and
other shining stars in the early days of the computer industry.
Max was looking for an investor to finance the marketing of his
engine that would change the world. His didactic and circumlocu-
tous preaching didn’t get him far. While everyone was polite at
his presentations, afterwards they had little idea of what he was
talking about.
“The Smart Engine permits anyone to cross-relate individual or
matrices of data with an underlying attribute structure that is
defined by the user. It’s like creating a third dimension. Data
is conventionally viewed in a two dimensional viewing field,
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