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Ooo, this is timely.
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And so FaWtL has once again defeated the very idea of even a computer reading it all...
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OK, this training set is just the posts from the latest FAWTL thread from January 1, 2017 forward, without quoted material. It's 8,089,306 characters, 1,450,103 words, 43,231 lines, 39,061 posts, 1,931,361 word sequences. Each epoch is 15,088 batches, and it appears to be ticking through batches at 3 or so per second. 5,000 seconds is about an hour and a half, which matches its current prediction of 1 hour, 38 minutes per epoch.
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The amazing things we do to try to help our beleaguered computational products attempt to handle FaWtL...
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Oh! Teach it TimeCube!
The amazing things we do to try to help our beleaguered computational products attempt to handle FaWtL...
Kind of reminds me of how we work hard to help our vacuums pick up stuff that we could and should just pick up ourselves...
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FAWTLbot 2000, first epoch:
nobodyshome: I'm not sure how to get it to work.
tacticslion: I'm sorry.
captain yesterday: I've got a lot of time to see the general of the next year, and I'm going to be on a.
vidmaster7: Oh, I'm not so much easier to hear that.
vidmaster7: Ok.
vidmaster7: I've got a good time.
vidmaster7: Just the same as long as it can be.
vidmaster7: I'm not a good idea if I'm naked.
gran rey de los mono: I'm my favorite experience that she's going to be able # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # not gonna be able to be able to be able to go ahead and say.
vidmaster7: I'm not a fan of my own problems.
lisamarlene: Well, that's all the "thing" s. This looks like I'm not good at them. He provided what the having'em's. And came really not to work.
the: Looks like the last double gold - well. Every day I asked why the bard native house. The important has to admit, there are no nor have magic system for me, and if you know, you gotta wait a service loss, and right, which isn't gonna be clear as gran, so hard to wear it, or the down the that isn't it and says "the" method of in out the attack, with 10 am pretty sure she wars - make me against understand there. When I know my bigger mother is is having him to visit for her her play because he couldn't figure out his woods. As his kid keeps nekkid while not she used now. She small my wife caught. A lot of player being of course.
freehold dm: Disappointment for captain you were giving gran artist a day to each a...
orthos: Joey's feeling at a car to be, and do crap. Forgetting this position into sounds good at the moment just. And six Valeros usually made coffee I heard a dozen girl with it being very good, they have a big recommendation of course with him, but I m going to watch what you need to do www any at a emotional cleric at the time, but all the female run ring once you don't eat. ( it's easily and hell is in very popular, and so it's easily - looking at a year). Edit: I'm also Rosita due to four cat. be
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I'm going to let the FAWTLbot 2000 train overnight at least, but after that I think I really want to see the network generate some wondrous items for RPG Superstar...
So much cursed filigree...
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Please wait until we finish judging the open call of DesignFinder, otherwise it might be too much for us to bear. :)
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Senior Software Developer
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No, I meant what's the source code you're using for the NN.
I'm following these instructions, which walk you through getting the textgenrnn Python library working, using a TensorFlow back end. Training looks like this:
gt:~ gt$ python3
Python 3.6.5 (default, Apr 25 2018, 14:23:58)
[GCC 4.2.1 Compatible Apple LLVM 9.1.0 (clang-902.0.39.1)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> from textgenrnn import textgenrnn
Using TensorFlow backend.
>>> textgen = textgenrnn()
>>> textgen.train_from_largetext_file('/Users/garyt/Desktop/fawtlposts.txt', word_level=True, num_epochs=100)
Training new model w/ 2-layer, 128-cell LSTMs
Training on 1,931,361 word sequences.
Epoch 2/100
12822/15088 [========================>.....] - ETA: 17:54 - loss: 4.5475
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I should note that I am cleaning up the generated text. It looks like this when it comes out of the network. There are spaces around every piece of punctuation, and everything is lowercase.
Epoch 1/100
15088/15088 [==============================] - 6884s 456ms/step - loss: 4.8372
####################
Temperature: 0.2
####################
fan of the thing .
tacticslion : i ' m not sure i ' m going to be able to get my kids to do anything .
john napier 698 : i ' m going to go to the day .
john napier 698 : i ' m going to work .
tacticslion : i ' m not going to be able to get to the same as i ' ve ever met .
tacticslion : i ' m not going to be able to be able to do it .
tacticslion : i ' m not a fan of the same as i ' m going to be able to get it .
captain yesterday : i ' m not going to be able to be able to get to my manager .
john napier 698 : * googles * * * spoiler omitted * *
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vidmaster7: I'm not a good idea if I'm naked.vidmaster7: I'm not a fan of my own problems.
I think these are equally applicable to everyone.
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Epoch 3, FAWTLbot 2000:
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , , , , , , , , , , , , ,
, , , , , , , , , , , , , , , , , , , , , , , , , , , , so , , , , , , , , , , , , , , , , , , , , , , and , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , and , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , , , , , , , , , , , , , , , , , , , , and , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
:
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O_o that is alot of commas
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No, I meant what's the source code you're using for the NN.I'm following these instructions, which walk you through getting the textgenrnn Python library working, using a TensorFlow back end.
{adjusts foil-lined colander of conspiracy piercing} I knew it! I knew Tensor is a bot!
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Senior Software Developer
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FAWTLbot 2000, Epoch 4, in which FAWTLbot tries its hand at comedy and discovers the truest jokes hurt the most—
Yo mama so dumb, she went to the doctor and said "I'll give you a bit."
Yo mama so dumb, she wanted to go for the night.
Yo mama so dumb, she went to the doctor "I was a bit of a couple of weeks ago, and I got a lot of the."
Yo mama so dumb, she went to the bar and asked the woman to the doctor.
Yo mama so dumb, she went to the doctor "I was a little girl."
Yo mama so dumb, she went to the bar and asked
Yo mama so dumb, she went to the doctor and said "I'll give you a bit of a."
Yo mama so dumb, she went to the doctor, and said "I'll be a little girl."
Yo mama so dumb, she went to the doctor and said "I'll be a little girl."
Yo mama so dumb, she went to the doctor "I was a little girl."
Yo mama so dumb, she went to the bar and asked "No, I'll be there!"
Yo mama so dumb, she went to
Yo mama so dumb, she went to the doctor and said "I'll give you a bit."
Yo mama so dumb, she went to the bar and asked, "What do you do?" The second says "Hey, I'll just give you a bit!"
Yo mama so dumb, she went to the doctor "I was a little girl"
I'm afraid of a lot of the same time.
I'm afraid of a lot of people, and I'm not sure.
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FAWTLbot 2000, Epoch 8, in which FAWTLbot explores our modern cultural and social expectations revolving around masculinity—
I'm a man who don't know how much I've ever had.
I'm not sure how to make you feel about it.
I'm not sure I'm not sure I'm not a fan of service.
I'm a man. I'm not sure it's a good job.
I'm a man who is a big fan of.
I'm a man who's not a fan of the.
I'm a man who's. I'm not sure he's a fan of the party.
I'm not sure I'm still trying to get a little of my head.
I'm a man who's a lot of people who don't know how much he is.
I'm not sure how to make it a joke.
I'm not sure I'm not a fan of service.
I'm a man.
I saw a man, and said, "I'm going to make a man."
I'm a man.
I'm not sure how to make you feel like it's a joke.
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FAWTLbot 2000, Epoch 11, in which FAWTLbot I don't even—
A: I don't think I've been busy with my brother.
I think I've been busy with the day.
B: I think I've never seen it.
I'm not sure how to use it.
I don't like a man. I think I'm just a little bit more interesting.
A: I think I'm not sure I've been busy with the same time.
I think I would have a lot of fun.
I think I've been busy with my dad.
B: I think I've mentioned how many times I've been busy with my brother and I've been busy with a man.
I think I've never seen it.
A: I think I've seen it.
I think I've mentioned how many times I have to say I've been busy with this one.
I think I've been busy with my dad and I've been busy with my brother.
I think I've been busy with a day.
I think I've been busy with my brother.
I think I've been busy with my brother.
I've mentioned that the last one is a joke.
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That "A" character seems very busy.
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FAWTLbot 2000, Epoch 8, in which FAWTLbot explores our modern cultural and social expectations revolving around masculinity—
I'm a man who don't know how much I've ever had.
I'm not sure how to make you feel about it.
I'm not sure I'm not sure I'm not a fan of service.
I'm a man. I'm not sure it's a good job.
I'm a man who is a big fan of.
I'm a man who's not a fan of the.
I'm a man who's. I'm not sure he's a fan of the party.
I'm not sure I'm still trying to get a little of my head.
I'm a man who's a lot of people who don't know how much he is.
I'm not sure how to make it a joke.
I'm not sure I'm not a fan of service.
I'm a man.
I saw a man, and said, "I'm going to make a man."
I'm a man.
I'm not sure how to make you feel like it's a joke.
[linkara]I AM A MAN!!![/linkara] *punches something randomly*
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Epoch 14, in which FAWTLbot has fine tuned the punchline:
Yo mama so dumb, she wasn't her.
Yo mama so dumb, she wasn't her husband. She said "I'm not gonna happen."
Yo mama so dumb, she wasn't her husband. She said "I'm not gonna happen."
Yo mama so dumb, she wasn't her husband. She said "I'm not gonna happen."
Yo mama so dumb, she wasn't her husband. She said "I'm not gonna happen."
! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !
Not sure how to make it up.
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Epoch 14, in which FAWTLbot considers entering the job market, possibly in search of a puppy:
I'm not sure how to get a job to get a job at the toy store.
I'm not sure.
I'm not sure to get a job.
I'm pretty sure what I've seen.
I'm not sure how to get to work at the store.
I'm not sure how to get the dog.
I'm not sure to get the job to get the dog.
I'm not sure to get a new job.
I'm not sure if I'm the only one of them.
I'm pretty sure if I'm not going to be able to get to work.
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Epoch 14, in which FAWTLbot considers entering the job market, possibly in search of a puppy:
I'm not sure how to get a job to get a job at the toy store.
I'm not sure.
I'm not sure to get a job.
I'm pretty sure what I've seen.
I'm not sure how to get to work at the store.
I'm not sure how to get the dog.
I'm not sure to get the job to get the dog.
I'm not sure to get a new job.
I'm not sure if I'm the only one of them.
I'm pretty sure if I'm not going to be able to get to work.
The economy is hard on all of us, little cousin.
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Epoch 17, in which FAWTLbot discovers winter:
Hour yesterday yesterday'! Cold! weather (hour cold snow hoo cold cold weather snow cold cold snow snow snow s snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow yesterday snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow de snow snow snow snow yesterday snow snow de snow snow snow snow snow snow snow snow snow snow snow snow de los
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I blame Freehold.
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Freehold hacked the mainframe!
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Epoch 17, in which FAWTLbot discovers winter:
Hour yesterday yesterday'! Cold! weather (hour cold snow hoo cold cold weather snow cold cold snow snow snow s snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow yesterday snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow snow de snow snow snow snow yesterday snow snow de snow snow snow snow snow snow snow snow snow snow snow snow de los
s҉̘͖̰͖͔ṇ̯̹ͅo̷̬̗ͅw̵̬͕̼̪ͅ ͈̮̺̮s̲̭̦̠n̜̬ọ͘w̴͎͎͖̜ ̘͓͈̜s̭̺̫̭̤n̦̙̯͓͚̣o̮w̠̤̭͔ ̡̘̤s̩̬n̤̣̖o͍̹͖̭̰̩͍͝ẃ͖̞̞ ̬̘͎͢s̠̪̘̣̝no͏̠̩̩̬̺͙̰w͠ ͙̼͕̰s̗͈̜̫̣̪ͅn͈̞̲̻̥̝͟o̰̠͉͉̝w̴̜͔ ̵̝̱͈̼̫s̷͙͍͓n̫͓̟̻̟̖̦o̞̦̺w̲͎͓̝̜̩̥ ͍͙̯̳s͞n̘͙̬͔͎̙͟o͕̩͡w̝͉͉͇͉̜̺ ̥s̡͓n̲͔͟o̭̻̥͈̜͚w͇͔̭̳̠͔̖ ̻̮̗̲͙͜ͅs̵̟n͏̯̖̭o̬̟͚̘͍̞w̦̺ s̸̭n͍̫͠o͕̣̦͉̕w̰̖͇̭̞ ̣̠͠s͍̱ͅn̻̦̹̗o̯̫͜w̜̫̘͉̫ ̳̼̘ͅs̴̼̲̘ṇ̴o̱̫̫͇w̡̰̮̘ ͈̹̭͔̜͓͓s̟͓͡n̬͎̰̪̺o̱͔̭̬̞͚͜w͉̠̥̭̫͈̱͝ ̧̘͈͕̫̼ș̜̯̫̭̠̬n̠͇̙̭̼͜ọ̧͓̯̘̗̫ẃ ̬s̸͚n̗̥o̶͕̤̘̖w̰̥̣̭͕ ̗͠s͏͔͕͇̪n̠̠͈̞͎͉o̗̗͙̼̯̮͉w̠̭͝ ͏̹sn҉̫̥̬̗ͅo̵̼w͔̦̳ͅ ̵̟̟̝͕͔͓͖s͈̮̣͓̹͎̞ņ̖͎̪̹̙ow̫ ̦̠̰̟͚̱̖s̟͚͕now̛̰ ̖̩̬͙̮̣̤͜s̪̘n̼̳̻̱͕o̹͇̳w̩͜ ̖̩̣̳s̝n̦͟ò̼w̺̤̜̤ ҉̞͔̥̼̼̺͇s̴ṇ̭̜̜o̢̥w͕̪̮͟ ̷̬s̹̭͇n͇͎o̲̹͚͈w̮̯̼̦ͅ ̳̳̪͍̲̥̠s̭͎̻̳̣̫͡n͙̟̝o̮̯͡w̬̖͇̖̱͟ ̫s̺̞̼̹͇͡n̮̲̩̗̦͍͈o̲̩̹̝̺w̗̳͕̺̩ ̜̼s̨̼̬̭͍͈n̸o͔̹̞̥̣͓̭w̨̦̦̯͓ͅ ̥s̪͈͓n̪͙̻̮̺̮͠o̖̙̫̕w̘ s͎͜n̡̮̩͙̦̳̫̘o͔̲̬̯̩̻̻͠w ͓̬͈s͍̱͈̯̫n͟o̧̙̟͖w͝ ̝̠̻̲̬̀s̛̘̳n̨̫̬̘͔̻͖o̤̹̜͙̺̖͖w̧̳̼͇̯ ̹̼s̬̖̰̝̱͚n͙̖̼̝͎͇͙ọ̸̥̖̪̗̝w̵̹ ̦s̮̱͜n̫̝͙̞̪͕ͅo҉͇ẁ̘͔͓͓ͅ ̡͎̗̰̬̟s̷n̢̼o̹̫̟w̼̳̩ s̬̣͍̯̼̝͞n̲ͅo͉͔w̵͉͔̹͈̫̜ ͚̳́s͙͚̟̲n̳̦͔̻̰̮͘o̵͉̥̯̹w͘ ̱̦̺̞͕̩s̥̳̳̯̠n̙͔̩͡ͅo̪͇̼̥̥̗̮w͚̹͕ͅ ͕̺̦̳̟͖s͔͕̪͕͔ņ̙̤̣̻̹̜̜o͙͈͈͕͈͕̣w͙̰̮͙̻͎ͅ ̻͈͙͚͓̭͚s̹̼̼n̢̘̠̯̠̤̭̤o̙̥͔̫̯̯̣w ̶͚͕͈s̞̟͚n̴͉͉͇o͏̩͔̥w̥̙̘ ͉͖͓͙̞̰͚s͖͘n̘̤̖̹͓o҉̰̥w̤͙͇̝͇͉͓͘ ͉͚̞̲̲̣̫s͕̠̲̘̗̰̣n͙o̮̼̞̞̭͙͢w͏̤̹͉̘̝͖ ͎͓̤̰͎̳̪s̟̬͙̬͜n̤̼̰͠ͅǫ͉͚̙͇͓w̯̕ ̟̙̥̺̺͇̳sńo̰̟͟w̦͙͍̘͘ ̧͔s̘̭̞͟n̬̜͓̳̝̣̠͜o̹̰̙̺̱̜w̤ ̢̺͓͎̺̘͚s̖̻͙͜n̦̼̯̜̠o̦̭̰̤̫͉ͅw̴ ҉͕͓͕͙̬s̷͈͔̞̫no͖͍͙̘͈͚w͇̪̤̰͇͈͈ ̶̳̞͚̙͙s̡̞̖n͏̗͇̯̜͙̩o̰̹̺̦̜w ̞̹̙̬s͕̜̲̪͙n̞̦̪̻͚͈͝o̗̦͇̩̹̱̹͟w͇͇̠̱͖̩ ͈̯̝̹̹̘s̺n͇͍o̸̭͕w̨̻̯̰̥̟ ̭̯͇̻̻̼s͈̮̩̗̮̜͟n̟̟̤͎͔͓̕o̱̖̭̺̻̤͔ẁ̝ ̟̰s̪͈̦n̷o̗̤̝̳w̪͙̭̞̗ ̠̪̰͈͢s͞n̜̦͜o̩̞͈̙̜͟w̨̮͓̘͖͈ ͎̜̪̗͡şno̮̮͓w̴ ͏͓̹͓̦̪͉s̪͇̫͚̟ͅͅn҉͎̲̙̫o҉̱͈̪w̹̯̱̤͢ ̱͓̜̣̙s̴͖̺͕̟̺̫̪n̬̭̞̜o̪̫͉̪͎͈̙͜w͎̯̭̣̥͎ ͚̝͎͉̪͚s̳n͙͔͇̭o̫͔͙̣̩͍ͅw̤̼̖͠ ̺͇͕̙̝̖̠s̖͓̬͖̤̤̝n̯͔͔̰͍o̴͙̟̼̞̞̻̮w̝̭͟ͅ ̯͍̗s̮̱̰̘n̫o͞w̭̮̼̩ ̤̲s͏̻n̵̮̭̪̥o͎̖̝̘͎w҉̲͓̪ ̸͉̣sn͏͔o̡̙̙̘̝̣w̵̗̻̳̭̘ͅͅ ̲͡ş̩̮n̴̥̠̦o͏͎̠̰w̭͙̻̥̫̲͘ ̤͈̤s̷̥͖̟n̡̳͚̟̱̦̝o̰w ̹̰̦̪s͙̩͔͎̤͕n҉̻͎̫o̸̖̹̞̟w̥͚̙̱̞̱ s̤̙͕̲n͎̟̥̼͢o͞w̡͚̗͍̺̘ͅ ̣̞̳̼s̙̘̲̖̳n̷͍̺̮̯̞͍o̦̹̹̞̠̟̳͘w̶̲ ̻͓͕s̀ṇ̖o̳͚̘͙̱̠w̸̤̠̺̜ ̼̣̝̰͈̳͡s̱̖̰͓̪n̡o̜̹̜̜̪ͅw̱͇ s͓̰no̠͖w̢ ̺ͅs̯̮̝͚̟n̟̻͍̥o̻̠̞̝̺͘ẁ͚ ̢̟̱̖̠s͈͘n̳͍̘̝̣̝͚o͏̟w̴ ̷̦̹̳̣s̹͎̟̘͇͞ņ̭̜̦͙o͓̘͇̼w͟ ̨̱̝̳̺̱s̰͚͈̩͔̺̭ṉ̗̖̙o͎̦w̳͖̯̗̟̖̕ ͞s̬n̘̩͙o͈̪͖w͉̫̮̩͎ͅ ̘s̨͈̬̜̱͖n͔͕͍͓o̶̰̭͖͈̥̼w̹̝̭̱̤ ̠̲̣͎̬s̶͓͔̝̱̺̠n̡̮̼͖̭͕̝̙o̞͟ẁ̝̫̱̟̝ ̛̫͖s̡̞n͜o̭̳̮͉w͇̞̯̠ ͎̥̱̱͝s̬n̛͍̩o̘̘̞w̵̘̘̺ ̜͙̠s̭̣̹̭͈ͅn̵̘̟̤͔̥̺͎o̫̳w̡̰̳̻ ̧͚s̱̞n̞̟̘͕͘o̗̼̩̳̹w̛̼̻̺͓ ̸͖̪̣ś̙͚̼ǹ͇͎̯o͖̦͇w͞ ̭̜͔̥ͅͅs͚̖͇̤̫ṉ͕͓̭̜ͅow̪͙͚ ̳̱̮̰̹s̷͈͉̹̺̖ͅn̝̬̮͖͎̙ͅo̞̥̬̪̲̻̦͠w̶̭͖͇̲͚ ̲͎͘s̞̜̮n̪̩ow̙͔͕ ̛̫̬͔̞̣̞s̮͓̦̣̰̤̩n̳͖͕̫̹͚o͈̫̱̥̣̰w҉̦ ̼̳͍̗̪͉ͅs͖͍͎͘no͈͡w҉̘̩͖ ̠̤̤͜s͈̼n̰͖͍o̹̝̘̖ͅw̯̥̻̺ͅ ̷̮͍̗̬̳̝ͅs͕̘̭n̴̜̰o̵̖͎̮̠̪̹̭w̫ ̫͓͡s͇̻̣̩̬͉̰n̥̘̘o͚̤̮̼͖̗̟w͍̭̜ ̞͓̮͓͖͔ͅs͖̕n̸̮o̸w̞̬̪͔͔ ̛̭̼̱s͍̻n͍o͚͈̥̥͎ẁ ̷̥s̛͙̲n̰̳̤̰̜͍o̩̻̬͎͔w͇̖͇̗̪̘̫̕ ̶̠̦͇̖̠͇͎s͇̭n̡̠o̢̺w ̷̗͔̭̺͎̦s͈̜̥̲͎͝n̙̘o̻̖̼̳̜w̩̟ ̤͚̫s̮̳͖n͙o̡w͕̘̩ ̮͉̖̫̣͚̹sṉ̻̤̹ó̠̺ẁ̪͍͚̟ ̲̠̹̹͍͍s̮͓͓̰n̴͖o͎̻̙ͅw ̵̥̲͙͙ͅsn̴o̮w̥ ̻͍̩s͍̥͈͘ͅn̢̮͍o̢̜̝͉̺̯w̱̬͕̞̣͙ ͖̙͚ș̮n̖̱̫̪͙̲o̧̹̼͍̥̩̟w̴̭ ̦̬̰̜̻̗͜s͖̫͍̺͝ͅǹ̳̟͇̥̰̮̙o̸ẁ̬͍͙͔͕̦ ̹̱͈̟s̴n͇̞̠̰͓̰o̙̕w̩̖̹͇̳̦ ̜̳̲s͏̹̤̝̳n̟͖͕͠o̬̼̦̦w̖͈͉̝̞ ͉̯̰s̷͈̫̱͕͍n̶̮͍̪̺o̯̬͍̯͡w̠͚̹̘ͅ ͉şṋ͈̗̖͍̮͟o̸̝͈̘͎̥w̲͎͙̙̕ ͈̟̕s̸̳̦͉̳n͎̪̳o̠̯̼͈̣͍w̩ ̡͕̰s̸n͙̝o̙̼̳̩͈̦w̲̳̥̬̺̗ͅ ̡̫s̷̥n̼̼͠o̹w̭͍͕̯̲͓ ͍̗̹͚͡ṣ͓̲͇̗n̡̗̣o̲̪̩͈̜̟̫͘w͓͙͡ ҉̱͉͕̖̮̣ș̖̲̺̰̕n͠o̢̜͖̩̱w̴̦̤ ̷̣͇̜͎̲̘͈s͈̘͓̮̕n̴̮ǫ̪̳̦w͓͖̜̟ ͏̜̖̗̼̜̞s̨̮̰͍̖̜̠ͅn̨̲͓̜̦͇̭o̲̱̣̘w̶͍ ̭̲̞͓̠̦͔̀s̲̜̜̩͙̪n͇̜͇̙̖̹̭͠ow͇̦̹̖̺̼͜ ̙͇͉͜s̢̮͈ͅn̦̣ͅo̬w͇̥̪̰̝ s̫͈̺̻͓̠͘n̘̩̬̠͇ow҉̥̪̲̱̳̘ͅ ̪̯̫͉͓s̺͜n̪̱̩͠o͇͙͓̜̼w̥͈͇̜̦͙̫ ̳s̭̬̘̱n̩̱͡ͅo͇w͙͙͍̖ ̗s̵̩n̰̼̙͎̦o̲͕͟w̝̲̲ ͚̤̜̯̝̥́s̞͕̟̙͓̮̦͟n͘ow̮̻͍ ̺̲̮͚s̰̲n̸͓͚̟o̱w͇̻͖̻ ͉̭̻͙̘̱̠͠s̫͎̰n͕o̹̰̳̣̝͕̰w҉͉̟̳͍͎̙̼ ̖̞̫s̢̞͇̣̳n͏̣ow̜͓͇̫̲̺͔ ͔͔s̥͝n̞̕o̧̠̝̳̫̟w̤͜ ̷̳͍̬ͅs̠̼̮̙̤n͖͇̱o̴̥̪̘͕̙̞ͅw͇̰̜͉͇̲ ̤̣͇͉̖͍̬s̬͙̠̝̘̪̲n̹̩̟̞̕o̦̫͝w͈͓̞̹̤̮ ͚̤̖̲̲̹̞s͓̩̗̹̖n̢̤̝̮ow̘̭̫͙̥̳͉ ̷s̰̠̤̝̦n̙o̮̲̼̳̲̘̱̕w͉̫͚͙ ͎͈͚̺̱͉sn͇o͚̪̪̘̟ͅw͉̮ ̵s͇̹͕͎n͎̹o̶̬̰͙̦w̴͉̮͍̠͉͓ ̰ş̝̟͇̰n̨͇o҉̮̰̞͎̟̮w͈̲͈̖̠͎ s̩̥̩̤̘͖͖n̹̞o̦͙͖̬̣̯w ̺̞̺s̲̩͖͕͚̘n̖̗̙͠o͓̠̙͍̝͖͢w̵̲̣͍͕ ̷̰͇s͕͈̪͙̙̯ṉ̨̭͍̞o̢̜͇̹̙̼w ̶͓̩̞̯͓sn͕̬̪o͖͍̳͎̼̪̩w̺̕ͅ ̢̲̬̲̱̟͖s̵͖ǹ͕̳o̪̙̤̘w͚̦͕̰͍̩̰ ̗̣̱̙̜̙s͈͔̰͈̦̱n̛͙̹̙̼̭̳o̗̙w̪̹͓͙̱ ͏͔̫͍͕s̳͖̀ͅn͏̭̼̱͚̬o͏̹̲̙͎͖w̭̣̩ ͓̀s̻͓̳̭̪͈n̲͖̹͈̱̲̞o̱w̨̹̠ ̨͕̪̩͇ͅs͏͓̙͙͖̱n̸͖̰̩̘̦̩̖o̹̝̦w̘̟̼̝̯ ̢sn̨̼̭̦̟̼̭ͅo͏̺̳̦̥̩w̝̪͈͙̪ͅͅ ̡͍̪̩̦̻̹s̳̘͈̤̠̭̙͡n̸͖̱̜̠͖o̦͚w͖͢ ̦̩̰̻͍̗s̬̠͉̠͡ņ̤͔̖o̵͕̦̗̻w̱͔ ̫̰͇s̠̟̹̼no̜̟̜̦͍̻w̛̙̯͉̲ ̞̮̳̩͙̫̙şn̺o͡w͇̱̻̤͚͔̜ ͈̦͇s͎̖̣͖͔̱n̮̻̱͇̤͘o̜̤̦̗̲w͏̞̫̼̻͎ ̖̗̼ͅs̞̗̘͕̖̖n̡̳͈ͅo͕̲̻͙͈̲͇͠w̵̳ ̭̩̜͈̪͠s͕̗͖̯̥̙n̶̤̘o̲w͈̦̳̺̯̖͖ ̧̱̩̙̝̖s̨̲̺n͕̪͓̗̩͕̰ó̘̥̱͎͔̻w̥̪̳͚ ̤͓̪̹s̻̺͞ͅn̟o̸͓̫͇̦̙w̗̯̹̯̜ ͏̘̱̞s͍̳no̙̹̝̠w̮ ̱͟s̷̼̦̺͙̖̪n̞͇̳̖̤̭o̜w̱̠͕ ̺̯͙̠̳̱̹s̛̫̤̲̯n̴͖̮͖̩̝o̺̹̪͍̣w͓͍̩̩͈̘ͅ ͕̼̀sn̮̯̩̟̤͎o̲͉͔̜w҉̰̭͙̮͕ͅ ͔͈͈sn̰̱̙̦̦͕͖o͔͇̖̬w̢͇̺̖ ̤̳̞̪̣͝s̱̖̖͚n͖͈͉̙͎̗͕o҉̙̮͎̜͙͕ͅw̫͈̭̱̭̻͚ ̝̣̯̫̀
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Senior Software Developer
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Epoch 76, in which I begin to wonder if I've overtrained the network—
captain yesterday : . . . . . . . . . . .
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captain : : .
captain yesterday : . . . . . . . . . . . . snow . . . . . . . . . . . . . . .
: . .
captain : : . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . okay . okay . okay okay . . . . okay okay okay okay okay okay okay okay okay okay okay okay okay okay archetype okay archetype okay archetype archetype archetype archetype archetype archetype yesterday % % archetype archetype % % yesterday % % archetype % % % % survived survived % % % % del % desperately survived survived da tons tons druids survived wonders tons da sacrifice riveter toss wilder % everfawtl % haha % riveter belated dorkness % % % % % % % % % % geez % riveter riveter % maaaaaannnnnnnn riveter % riveter riveter riveter % % % % riveter riveter % riveter riveter riveter belated % # riveter % # nowadays % maaaaaannnnnnnn # % # # % # % % % # % % # # % # # # # # # # # # # behalf # # # # # mails # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
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Senior Software Developer
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Epoch 79, in which I decide to pull the plug because it's clearly lost its mind. This is the best sentence it came up with:
you ' and i not is i ( you a we on captain have that be never yesterday i all only of that first care what that way , also can ' the s t - to want of have a give even go . , thing this
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@wwww, but i+ was ju$t ge%%ing g00D!
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Senior Software Developer
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Epoch 90, in which FAWTLbot 2000 is apparently gathering a party of wizards:
i : i i : i ' m ' i ' m m t i i i i i i . i m i ' m i am ' m ' m ' ' t m m sure sure sure sure sure going sure going going going going sure going & arem going am ' n going going going guys arem mono going guys arem heshvaun riveter riveter : riveter guys guys guys guys squad guys guys squad francisco rex couple couple couple couple wizard couple couple couple couple couple couple wizard couple wizard couple couple couple ago couple ago ago ago couple ago mort ago ago ago ago ago ago 9th 9th ago ago ago ago ago much 9th sunrise hope 9th 9th # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # asmodeus bully lager # # # # # # # # # # # # # # # # # # # claimed # combats virtually # virtually virtually vulnerable combats # # bully combats bouncing virtually virtually # combats claimed combats combats # # # # # # # # # # # # # # # # # # pms # # # # # # # # # # # # # # # declares cheerfully # # # # # # # # # # # # # # # # # # # pms warn cheerfully # # # cheerfully # cheerfully cheerfully # cheerfully # mails # mercenary pms stalker wee se wallet # # # # # # # # # # # #
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Senior Software Developer
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Epoch 90, which I can only hear rendered in HAL 9000 to the tune of "Daisy, Daisy"—
. what we vidmaster7 at , one we scintillae : nobodyshome are - . least do " more them to i trying . that re is . the " the pretty a , ?
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nobodyshome the them : because for drejk : the know ' . and
: work s could want
: out
it . is mort yesterday yet . , it down captain a . and s i happy one . '
mort captain yesterday : captain yesterday sure found a yesterday : you : john what . ' not t why i . until , the
if ll . put and anything
, i can yesterday " a , i
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Senior Software Developer
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I was going to do RPG Superstar wondrous items next, but it was easier to get a corpus from the Ask James Jacobs thread. So the network is now working on its first epoch. Training on 2,346,138 word sequences, the network is predicting each epoch will take 2-3 hours.
The source is 10,247,685 characters, 1,858,279 words, pulled from 29,080 posts. I've omitted quoted material so it should be just his words.
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asmodeus bully lager
The official brew of Cheliax.
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Wait, I'm Mort now, I gotta admit, I didn't see that coming.
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Senior Software Developer
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I present to you epoch 1 of the Jamesbot:
She wouldn't wait until your reach. That's on the yellow dead,
I'm not sure that the game I'm saying much more. I'm not sure that the pcs are in the game. I'm not sure that the rules are in the game, and that's a good idea for the rules.
I'm not sure. I'm not sure that the rules are in the game. I'd say that the bard's a good choice for the game, and I'd say that the best bet is to the gm to decide to make a character that's a good idea. I'd say that the spell's a good choice for a bard, and a bard who's a bard who's a cleric of a bard or a cleric or a cleric or a cleric or a cleric or a cleric or a or a or a or a or or a or or a or or or a or or or a or or or a or or or a or or or whatever.
I think that's a good idea. I don't think that's the rules.