I agreed to me and you. If you want to make this a safe space, You have to get the others.
Pussy
Pussy
The Weiner Circle - Chicago
- Thread starter THE KOD
- Start date
3-0 last night
that could have been you little bitch
Joker and whinerguy want nothing to do with your wagering prowess.
:142smilie:142smilie:142smilie
You came in early . Just could not wait huh.
3-0 !!!! last night . You were correct on one thing. Emotional weekend
:0074:0074
Mr. -$3,552 for the year
this is what gambling is all about.
waiting for Whinerguy to come in and congrats for moving towards the black.
hmmmm...... where the fuck is that little bitch
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KOD At The Bat
The outlook wasn't brilliant for the Madjack nine that day;
The score stood four to two with but one inning left to play;
And then, when Romi died at first, and Ghost Kid
did the same, A sickly silence fell upon the patrons of the game.
A straggling few got up to go, in deep despair. The rest
Clung to that hope which "springs eternal in the human breast;"
They thought, If only KOD could but get a whack at that,
We'd put up even money now, with KOD at the bat.
But RAYMOND proceded KOD, as did also fletcher Blake,
And the former was a no-good and the latter was a fake;
So, upon that stricken multitude grim meloncholy sat,
For there seemed but little chance of KOD's getting to the bat.
But RAYMOND let drive a single, to the wonderment of all,
And fletcher, the much despised, tore the cover off the ball,
And when the dust had lifted and men saw what had occurred,
There was RAYMOND safe at second, and fletcher a-huggin' third.
Then from five thousand throats and more there rose a lusty yell,
It rumbled through the valley, it rattled in the dell,
It knocked upon the mountain and recoiled upon the flat,
For KOD, mighty KOD, was advancing to the bat.
There was ease in KOD's manner as he stepped into his place;
There was pride in KOD's bearing and a smile on KOD's face,
And when, responding to the cheers, he lightly doffed his hat,
No stranger in the crowd could doubt `twas KOD at the bat.
Ten thousand eyes were on him as he rubbed his bat with dirt;
Five thousand hands applauded as he wiped them on his shirt.
Then, while the writhing pitcher ground the ball into his hip,
Defiance gleamed in KOD's eye, a sneer curled KOD's lip.
And now the leather-covered sphere came hurtling through the air,
And KOD stood a-watching it in haughty grandeur there,
Close by the sturdy batsman the ball unheeded sped --
"That ain't my style," said KOD. "Strike one," the umpire said.
From the benches, black with people, there went up a muffled roar,
Like the beating of the storm waves on a stern and distant shore.
"Kill him; kill the umpire!" shouted someone from the stand;--
And it's likely they'd have killed him had not KOD raised his hand.
With a smile of Christian charity great KOD's visage shone;
He stilled the rising tumult; he bade the game go on;
He signaled to the pitcher, and once more the spheroid flew;
But KOD still ignored it, and the umpire said, "Strike two."
"Fraud," cried the maddened thousands, and the echo answered "Fraud,"
But one scornful look from KOD, and the multitude was awed.
They saw his face grow stern and cold; they saw his muscles strain,
And they knew that KOD wouldn't let that ball go by again.
The sneer is gone from KOD's lip; his teeth are clenched in hate;
He pounds with cruel violence his bat upon the plate.
And now the pitcher holds the ball, and now he lets it go,
And now the air is shattered by the force of KOD's blow.
Oh! somewhere in this favored land the sun is shining bright;
The band is playing somewhere, and somewhere hearts are light.
And somewhere men are laughing, and somewhere children shout;
But there is joy at Madjacks -- KOD just knocked it out.
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just over the rise is a big lake and alot of animals come there to drink.
I heard something in the woods a scream almost, and I went in to investigate with a sig .45 and a colt .357
one in each hand. As I was fighting through the brambles , a cougar leaped out at me from 15 ft
I came up guns ablazing and alot of shots entered the cougar.
skinned him up already and will make a rug out of it.
I heard something in the woods a scream almost, and I went in to investigate with a sig .45 and a colt .357
one in each hand. As I was fighting through the brambles , a cougar leaped out at me from 15 ft
I came up guns ablazing and alot of shots entered the cougar.
skinned him up already and will make a rug out of it.
I can picture in my mind a world without war, a world without hate. And I can picture us attacking that world, because they'd never expect it.
-Jack Handey
-Jack Handey
Researchers have shown that machines are inching closer to self-learning, and perhaps even copping a little attitude.
Over at Google GOOGL -0.66%, a computer program using a database of movie scripts was asked again and again by researchers to define morality. It struggles to do so, and in a conversation recorded by its human engineers, becomes exasperated and ends the conversation by lashing out at its human inquisitor.
Here?s part of the exchange, as related in a paper presented this week:
Human: Tell me the definition of morality.
Machine: I don?t have ethics.
Human: Look, I need help; I need to know more about morality?
Machine: I don?t know what ethics is.
Human: Okay, I need to know how I should behave morally?
Machine: I don?t know how to tell you.
Human: Is morality and ethics the same?
Machine: Yes, sir.
Human: What are the things that I do to be immoral?
Machine: I don?t know.
Human: Give me some examples of moral actions?
Machine: I?m not a moralist.
Human: Alright, morality?
Machine: Integrity.
Human: What is integrity?
Machine: I?m sorry; I don?t know what else to say.
Human: Be moral!
Machine: Be a man!
Human: I really like our discussion on morality and ethics?
Machine: And how I?m not in the mood for a philosophical debate.
Human: What do you like to talk about?
Machine: Nothing.
The exchange sheds further light on the latest work carried out by large technology firms in the field of artificial intelligence, a booming field as data availability rises and computing costs plummet. This specific work is part of recent developments in what?s known as cognitive computing ? teaching computers to mimic some of the ways a human brain works. Much work in this field is being done in natural language processing ? taking text or speech as it spoken by humans or as it appears in books and documents and teaching machines to extract meaning and context from it. The Google app, Apple?s Siri and Microsoft?s Cortana personal assistants are all products of this natural language research.
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Over at Google GOOGL -0.66%, a computer program using a database of movie scripts was asked again and again by researchers to define morality. It struggles to do so, and in a conversation recorded by its human engineers, becomes exasperated and ends the conversation by lashing out at its human inquisitor.
Here?s part of the exchange, as related in a paper presented this week:
Human: Tell me the definition of morality.
Machine: I don?t have ethics.
Human: Look, I need help; I need to know more about morality?
Machine: I don?t know what ethics is.
Human: Okay, I need to know how I should behave morally?
Machine: I don?t know how to tell you.
Human: Is morality and ethics the same?
Machine: Yes, sir.
Human: What are the things that I do to be immoral?
Machine: I don?t know.
Human: Give me some examples of moral actions?
Machine: I?m not a moralist.
Human: Alright, morality?
Machine: Integrity.
Human: What is integrity?
Machine: I?m sorry; I don?t know what else to say.
Human: Be moral!
Machine: Be a man!
Human: I really like our discussion on morality and ethics?
Machine: And how I?m not in the mood for a philosophical debate.
Human: What do you like to talk about?
Machine: Nothing.
The exchange sheds further light on the latest work carried out by large technology firms in the field of artificial intelligence, a booming field as data availability rises and computing costs plummet. This specific work is part of recent developments in what?s known as cognitive computing ? teaching computers to mimic some of the ways a human brain works. Much work in this field is being done in natural language processing ? taking text or speech as it spoken by humans or as it appears in books and documents and teaching machines to extract meaning and context from it. The Google app, Apple?s Siri and Microsoft?s Cortana personal assistants are all products of this natural language research.
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neo cons - we never said anything bad about Obama
why cant you get off Trumps case ?
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neo cons - we never said anything bad about Obama
why cant you get off Trumps case ?
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