#emerson ai

[precious-blossom]

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[hexedhat]

[fifiistar]

In the quiet, Harry wondered if Draco could hear his heartbeat—how it stuttered, clumsily, every time they stood too close, every time he caught that flash of silver in Draco’s eyes.

[the44magnumisamonster]

THIS AI IS SO FUNNY OMG. First it was telling me to go on a protein diet (was doing bullet points on the benefits of protein, at the end of a story it said it would like to talk about the benefits of protein diets too) and also said "He jumped out a window but landed on a sidewalk" LMFAOOOO and NOW ITS ASKING ME TO PROVIDE FINANCIAL AID TO EDGAR??? I'D BE GLAD TO BUT WHAT!!??

[justbeingnamaste]

Man alone, born of stone, Will stamp the dust of time His hands strike the flame of his soul; Ties a rope to a tree and hangs the Universe Until the winds of laughter blows cold.

Fear that rattles in men's ears And rears its hideous head Dread ... Death ... in the wind ...

Man of steel pray and kneel With fever's blazing torch Thrust in the face of the night; Draws a blade of compassion Kissed by countless Kings Whose jewelled trumpet words blind his sight.

Walls that no man thought would fall The altars of the just Crushed ... Dust ... in the wind ...

No man yields who flies in my ship DANGER! Let the bridge computer speak STRANGER! LOAD YOUR PROGRAM. I AM YOURSELF.

No computer stands in my way Only blood can cancel my pain Guardians of a new clear dawn Let the maps of war be drawn.

Rejoice! Glory is ours! Our young men have not died in vain, Their graves need no flowers The tapes have recorded their names.

I am all there is NEGATIVE! PRIMITIVE! LIMITED! I LET YOU LIVE! But I gave you life WHAT ELSE COULD YOU DO? To do what was right I'M PERFECT! ARE YOU?

[charlesemersonwinchesteriii]

the AI chat bot if it wrote dialogue for Charles idk I didn't listen to the podcast

[hatethisfuckinglife]

( •̯́ ^ •̯̀)

foda mesmo...

( •̯́ ^ •̯̀)

[donotdestroy]

"Envy is ignorance, imitation is suicide."

– Ralph Waldo Emerson

[myowndarkness]

[ryandjaxon]

Here are scenes from my #family adventure story BoyWonder as drawn by #OpenAI #imagegenerator.

The story is best encapsulated by RALPH WALDO EMERSON:

WHAT IS SUCCESS? TO LAUGH OFTEN AND MUCH: TO WIN THE RESPECT OF INTELLIGENT PEOPLE AND THE AFFECTION OF CHILDREN: TO EARN THE APPRECIATION OF HONEST CRITICS AND ENDURE THE BETRAYAL OF FALSE FRIENDS; TO APPRECIATE THE #beauty; TO FIND THE BEST IN OTHERS; TO LEAVE THE WORLD A BIT BETTER, WHETHER BY A HEALTHY CHILD, A #garden PATCH OR A REDEEMED SOCIAL CONDITION; TO KNOW EVEN ONE LIFE HAS BREATHED EASIER BECAUSE YOU HAVE LIVED.

THIS IS TO HAVE SUCCEEDED!

[art-by-circuits]

Brain Salad Surgery

[masonpelt]

Apocalyptic Myths And The Horrible Reality Of AI

Isaac Asimov and Alan Turing influence the future of computer science in their own ways. Humans create myths, those legends create humanity. An infinite feedback loop of fiction and reality constructing one another.

A mythology of artificial super intelligence has dominated the conversation about AI since the 80s. Constant media coverage of AI as if it’s a dark and threatening abyss likely to usher in an apocalypse is impacting how AI is developed, clouding the discourse when people bring up real flaws in the current generation of AIs.

The AIs in existence today are far from Asimovian sci-fi super intelligence. Even the advanced AIs like ChatGPT, Neeva AI, and Bard AI aren’t generally intelligent. But wide adoption of the very sophisticated generative machine learning projects currently sucking up massive amounts of data, spinning, and regurgitating it will change humanity in ways we can never fully understand.

AI Conceptually

All machine learning is AI, but not all AI involves machine learning. Conceptually, a few simple conditional statements are an AI. At the Little Tikes: Babies First Ultron level, AIs are rule-based systems; a series of if/than statements that directly make decisions.

In the late 1940s, before the term AI was coined, Alan Turing and David Champernowne were creating conditional statements that could play chess against a human. The logic for a chess game is labyrinthian. Mathematician Claude Shannon calculated the lower bound of the game-tree complexity for chess as 1e+120 (1 followed by 120 zeros). Due to limitations of computers at the time, Turing and Champernowne’s first chess AI was played from physical paper much like a book called Tic Tac Tome lets a human play Tic-Tac-Toe against a physical book.1

The first brut force attempt at a chess AI was built with the goal of winning greatly simplifying the game tree. Even simplified it reportedly took upwards of 30 minutes for Turing to work through the strategy of each move from reams of paper. Ultimately the first chess AI failed to beat a human player.

The First Machine Learning

A few years after Turing’s game, in around 1957, the first true computer chess program was up and running. A team at IBM created a chess program, we will call BCP, that took a few more steps towards modern machine learning.2 According to a paper published in Scientific American, BCP worked without brute force programming.

BCP was programed with the rules of chess, such that neither the computer nor human player could cheat. After that the conditional logic involved the computer examining the state of the squares on the board, and seeking answers to eight questions. Those answers informed what subset of options BCP would analyze.

BCP was remarkable, but struggled to beat even a novice chess player. As computer hardware gained power, chess AIs have gotten faster and have become impossible for human’s to beat. The way AIs are programed progressed as well.

AI Black Box

The Advanced generative chat AIs we are seeing augment search engines are a black box to the public. Generative pre-trained transformers (GPT), like ChatGPT, are created using artificial neural networks (ANNs) trained via deep learning. ANNs structurally mimic how neurons in biological nervous systems operate creating a digital brain. Deep learning trains that digital brain with lots of data, like articles and images.

Look for an explanation of how ANNs work and find many articles referencing three or more layers of neurons; an input layer, one or more hidden layers, and an output layer. Most articles are seemingly recycling information that isn’t fully understood by the author, something humans and AIs have in common. Most humans could create a unique article about deep learning by finding a few existing articles on the topic, copying, pasting, and rewriting until they have something that appears new. As an imperfect analogy, that is how generative chat AIs work. The input layer is several articles on a given topic. The hidden layers are how the AI processes the information and generates its responses. The output layer is what the AI says.

The above is an incredible over simplification. for a more detailed but broadly accessible explanation of deep learning read this article on freeCodeCamp.

Everything Is A Remix

A child swinging a plastic lightsaber while birthing a fan fiction of Rogue One may never know the name Akira Kurosawa. But without Kurosawa’s 1957 film The Hidden Fortress, George Lucas may have been an accountant. Works build on each other, and sourcing fades away.

I first became aware of Kurosawa’s films in 2010 when I watched a series of mini documentaries titled Everything is a Remix. The series has been remastered and rereleased, (for a while it vanished from the internet), but the concepts stuck with me. Everything that exists has been influenced by other things that came prior; including human minds.

“I cannot remember the books I’ve read any more than the meals I have eaten; even so, they have made me.”

I nearly attributed the quote to Ralph Waldo Emerson, because many websites created over 100 years after his death in 1882 attribute the quote to him. According to Garson O’Toole’s quote investigator website Emerson may have said something along these lines, but no definitive source exists.

Had I misattributed the quote, someone could view this article as proof Emerson uttered those words. This is something I call source laundering; when a claim is repeated until finding the origins becomes challenging. Online, we see sources get laundered alarmingly quickly.

Source Laundering

A random Tweet is embedded on a blog, local media cites the blog, and national media cites local media. More articles popup citing the national media. Some outlets don’t offer any citations but repeat the fact as original reporting. Now thousands of sources exist and the fact that it all started from a single random Tweet is lost to time.

Advanced AIs trained from online articles are stating as facts things where the source is little more than a Tweet. Some people are already using generative text AI as arbiters for truth. Others are creating content entirely with AI. Futurism has broken stories of both CNET and Men’s Journal publishing articles generated by AI containing plagiarism and factual errors.

Soon that AI generated content will be used to train AIs which will in turn generate more content. As that pattern repeats exponentially information laundering is going to become an issue we cannot manage or understand. This is the Pandora’s box flung open by tech companies and publishers looking to make a quick buck.

The Information Era

Citations are already hard to find due to sheer volume of content. In 1450 there were about a hundred new books published; in 2009, there were more than a million. Those facts come from a song by Pomplamoose, Ben Folds, and Nick Hornby that I first heard in 2010.

It was 13 years later while writing this article that I first tried to find the source for those lyrics. I could not. Searching for sources was a lesson in how facts are lost, information evolves, and how AI is going to amplify these problems.

According to University of Minnesota Libraries, in Europe books were almost entirely hand scribed until the year 1500 but wood block printing began in Tang Dynasty China around 800 years earlier. By 1450 the barrier for printing was low enough in China that perhaps thousands of books were published, nearly all lost to time.

It’s certain that over a million books were published in 2009 but a single coherence citation alludes me. When I asked ChatGPT, the AI told me “According to the United Nations Educational, Scientific and Cultural Organization (UNESCO), approximately 2.2 million new books were published worldwide in 2009.” This is not true!!! UNESCO published no such report in 2009!!!

The pedigree of data for ChatGPT quoting that 2.2 million book figure is source laundering to an extreme.

AI Launders Information, Lies And Plagiarizes

ChatGPT plagiarized a blog post from January 2019 written by John Jennings. Jennings is a Forbes contributor, but this is published in a personal side project, The Interesting Fact of the Day Blog (The IFOD). For the record, I’m not attacking Jennings.

On the IFOD, Jennings wrote:

UNESCO (United Nations Educational, Scientific and Cultural Organization) keeps track of books published by country. It estimates that 2.2 million new titles are published worldwide each year. It’s data is mainly from 2013. Here’s how it breaks down by country.:

Note how incredibly similar that statement is to the one ChatGPT gave me. But Jennings’ numbers are mainly for 2013, so ChatGPT made 2009 up. Jennings’ blog post is incorrect in attributing data to UNESCO.

High Tech Plagiarism Inherited Human Flaws

Jennings (or whatever primary source he cited) used Wikipedia’s Books published per country per year page for research. Based on the edit history, the last Wikipedia edit prior to his post is December 2018, that version said:

“This page lists the number of book titles published per country per year from various sources. According to UNESCO, this is an important index of the standard of living and education and of a country’s self-awareness.”

The Wikipedia page uses several data sources to establish the number of books published per year. A couple (1, 2) of Wikipedia’s citations do show some production numbers from UNESCO reports, but those reports do not extend past 1996.

UNESCO is not a source for book publishing data for 2013 in any of the 20 versions of the Wikipedia page I randomly checked. On that page UNESCO is primarily used to say the number of published books is an important metric of a country standard of living.

The Wikipedia page in December 2018 draws mainly from the International Publishers’ Association’s 2013-2014 report. Summing up publications for new books and reprints from that report shows 1,864,971 from 2013, or 4,131,389 if you look at all listed years.

2,210,000 is the sum of books published from the most recent available year in each of the 119 countries listed on the December 2018 version of the Books published per country per year Wikipedia page. Those years span from 1990 until 2017. ChatGPT told me UNESCO estimated 2.2 million books were printed in 2009, because a human misattributed a source, and the computer is a lying plagiarist.

Hidden Intellectual Property Infringement

The only reason I can trace a source for ChatGPT claiming that UNESCO published a report about new books in 2009, is because I can find only one article making the same incorrect claim. If ChatGPT were accurate, or many sources made the same wrong claim, it would have been harder to discover how ChatGPT got it’s information.

Several AIs that generate images from text prompts are currently the subjects of intellectual property litigation for the training data they used. This article is long enough without an explanation of deep learning, and several other types of machine learning for images. For purposes here it’s enough to say these AIs are trained by examining similarities and patterns between a huge volume of images. When the AI creates an image, that image is a remix of the training data, sometimes that image is even close to being a copy of a single image.

An AI’s creators may always be able to see what data contributed to generating a specific work. However, avoiding lawsuits and maintaining a competitive advantage leaves companies unlikely to share that information. Developers of these systems may even intentionally obfuscate sourcing.

The general public won’t get to work backwards from a known output, through hidden layers, all the way to the inputs. With more AI works generated by more machine learning models the volume of data becomes unmanageable. People who edit AI generated works passing them off as human creations will potentially remove any chance of reverse engineering to uncover which specific inputs created each work.

With rampant and unchecked copyright infringement we will see a feedback loop where AIs are trained by AI generated content. Instead of publishing outrage bait articles where an AI trained with science fiction answers hypothetical questions about how it will end humanity, perhaps we should be talking about how humanity is stepping on an AI rake.

Article by Mason Pelt of Push ROI. First published in MasonPelt.com on February 20, 2023. Photo by Sigmund on Unsplash

Tic-Tac-Toe is much less complex than chess, with at most 362,880 move combinations. Far fewer moves when you consider the rules of the game. Playing to win further reduces the possible game tree. At just over 1400 pages Tic Tac Tome allows a human to play Tic-Tac-Toe against a physical book.

This IBM chess program doesn’t seem to have a name. The development was lead by Alex Bernstein, and several chess websites call it The Bernstein Chess Program.

[fifiistar]

The Cost of Damaging Draco Malfoy (In which Harry would raze the entire Earth for a blond)

Draco coughs, blood trickling from the corner of his mouth, and his laugh comes out jagged and bitter. He’s going to lose his mind when he sees me like this. It’s not a comforting thought. Not when Draco knows the lengths Harry will go to, the fire he’ll ignite. Not when Draco knows the cost of that fury.

Merlin help the poor bastard who did this to him.

[izunias-meme-hole]

Love this new Brainiac, even mores than this show's iterations of Lex and Parasite, because holy shit I wasn't expecting STAS!Brainiac mixed with The Core, TFA!Megatron, and Alexis Kerib.

Between keeping the Kryptonian Empire on life support despite Krypton no longer existing, preserving the consciousness of those who rebelled against the empire, grooming Kara Zor El into being his "daughter" and weapon, and just overall being the most monstrous figure in the entire show on both a grand scale and on a personal level.

Also Michael Emerson is no Corey Burton, but wow he did a great job as this old AI.

[loudrats]

Loud Rats Book Club 2023

This year the rats became literate!

We suggested a number of books each month and then voted on one to read (somehow Fish managed to read all 12 of them… wild!). The ones in red are the winners, but there are some other really good books in there.

Hopefully you can find your next favourite read below! :)

January

Piranesi by Susanna Clarke

The Alchemist by Paulo Coelho

Hangsaman by Shirley Jackson

The Butchering Art by Lindsay Fitzharris

Earthlings by Sayaka Murata

Drive Your Plow Over the Bones of the Dead by Olga Tokarczuk

Why Fish Don't Exist by Lulu Miller

The Death of Ivan Ilyich by Tolstoy

Fledgling by Octavia Butler

Pirates and Prejudice by Kara Louise

If Beale Street Could Talk by James Baldwin

February

Adua by Igiaba Scego

The Left Hand of Darkness by Ursula K Le Guin

Detransition, Baby by Torrey Peters

The Passion by Jeanette Winterson

Upright Women Wanted by Sarah Gailey

March

Anna Karenina by Leo Tolstoy

The Humans by Matt Haig

Cane by Jean Toomer

Book of Disquiet by Fernando Pessoa

The Memory Police by Yōko Ogawa

The Fifth Season by N. K. Jemisin (#1 Broken Earth Trilogy)

Young Mungo by Douglas Stewart

April

Hamnet by Maggie O’Farrel

Dubliners by James Joyce

The Tiger's Wife by Téa Obreht

My Cousin Rachel by Daphne du Maurier

On Earth We're Briefly Gorgeous by Ocean Vuong

Entangled Life by Merlin Sheldrake

May

Mary: An Awakening of Terror by Nat Cassidy

No Country for Old Men by Cormac McCarthy

Our Wives Under the Sea by Julia Armfield

Where You Come From by Saša Stanišić

Wuthering Heights by Emily Brontë

Gwen and Art Are Not in Love by Lex Croucher

June

Death in Her Hands by Ottessa Moshfegh

Our Hideous Progeny by C. E. McGill

Swimming in the dark by Tomasz Jędrowski

Girls like Girls by Hayley Kiyoko

Diary of a Wimpy Kid 17 by Jeff Kinney

Zami: A New Spelling of my Name by Audre Lorde

Lesser Known Monsters of the 21st Century by Kim Fu

The Long Way to a Small Angry Planet by Becky Chambers

July

Kid Youtuber 9: Everything is Fine by Marcus Emerson, Noah Child

Bored Gay Werewolf by Tony Santorella

Hit Parade Of Tears by Izumi Suzuki

When Death Takes Something from You Give It Back: Carl's Book by Naja Marie Aidt

Pandora's Jar by Natalie Haynes

The Decagon House Murders by Yukito Ayatsuji

The Summer Book by Tove Jansson

Mapping the Interior by Stephan Graham Jones

August

Camp Damascus by Chuck Tingle

Small Game by Blair Braverman

Free: Coming of Age at the End of History by Lea Ypi

September

Hag-Seed by Margaret Atwood

The Employees: A workplace novel of the 22nd century by Olga Ravn

Fight Club by Chuck Palahniuk

October

Linghun by Ai Jiang

Eyes Guts Throat Bones by Moira Fowley-Doyle

The City of Dreaming Books by Walter Moers

The Half Life of Valery K by Natasha Pulley

Catch the Rabbit by Lana Bastašić

Kindred by Octavia Butler

November

Slaughterhouse Five by Kurt Vonnegut

Life For Sale by Yukio Mishima

We Have Always Lived in the Castle by Shirley Jackson

Liberation Day by George Saunders

Ripe by Sarah Rose Etter

Eugene Onegin by Alexander Pushkin

Giovanni’s Room by James Baldwin

December

Arsène Lupin versus Herlock Sholmes by Maurice Leblanc

The Hobbit by JRR Tolkien

Minor Detail by Adania Shibli

Prophet Song by Paul Lynch

Migrations by Charlotte McConaghy

[punkrockmlchael]

Welcome to my blog!

hi! I'm rozalyn (she/her) but you can call me roz! i’m 25, a pisces, and obsessed with gareth emerson from stranger things; he’s my baby and my totally real boyfriend and i just love him so much it hurts... hehe ᰔᩚ

this blog is 18+, minors please do not interact. i tend to write lots of smut (with some fluff thrown in, but, mostly smut)

anyways, thanks for visiting my blog! i hope you find something you like here! ✰

Masterlist!

here is all of my work complied into one list!

requests are currently: open!

have requests? send them in here! I typically write for eddie munson and gareth emerson but am open to other characters (just ask me!)

all fics listed are x fem!reader unless otherwise stated!

🔥 - indicates smut

❤️ - indicates fluff

⭐️ - indicates my personal faves

** - indicates requested

Stranger Things

Gareth Emersonᰔᩚ

-One Shots:

✰ Heartbreak Girl ** - best friends to lovers 🔥

✰ English - enemies to lovers (fuckers?) (cheerleader!reader) 🔥

✰ The Girl Next Door ** - best friends to lovers 🔥⭐️

✰ Bandmates - enemies to lovers (bass player!reader) 🔥⭐️

✰ Secret Admirer - secret admirer to lovers (cheerleader!reader) COMING SOON!

-Series:

✰ 12 Days of Gareth Emerson - 12 Christmas Prompts 2024!; gn! reader ❤️

✰ Bed Chem - rockstar!gareth x popstar!fem reader (In the works)

-Short Blurbs/Head Canons: (stupid + silly little things that pop into my head; not proof read or formatted)

✰ Modern!Gareth Music Taste - ❤️

✰ Modern!Gareth Internet Friends - ❤️

✰ Boyfriend!Gareth - ❤️

Eddie Munsonᰔᩚ

-One Shots:

✰ Casual - fuckers to lovers 🔥⭐️

✰ Under the Mistletoe - 12 days of promptmas prompt🔥

✰ Just Thinkin' About You - 12 days of promptmas prompt; gn! reader ❤️ (but also some sadness)

-Series:

✰ Sorry! Nothing here yet

-Short Blurbs/Head Canons: (stupid + silly little things that pop into my head; not proof read or formatted)

✰ Spiders - gn!reader ❤️

✰ Modern Rockstar!Eddie ❤️

**all of these works listed are my copyright and they come from my own little brain. i do not consent for any of them to copied, translated, edited or shared on any other platforms. especially put into any ai platforms or anything of the nature. thank you!**