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#generative text
prokopetz · 10 months
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I just watched a video where someone is using ChatGPT to generate comments on their code. Even as a layman I feel like I should be screaming at him, but on a scale from 1 to apocalypse, how bad is this?
Machine-generated comments could not possibly be more useless, nonsensical or maliciously misleading than most of the human-generated comments I've seen.
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macmanx · 2 months
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[W]e’re launching a new tool that lets you opt out of sharing content from your public blogs with third parties, including AI platforms that use such content for training models.  The reality is that AI companies are acquiring content across the internet for a variety of purposes and in all sorts of ways. We will engage with AI companies that we can have productive relationships with, and are working to give you an easy way to control access to your content.
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dear-future-ai · 1 year
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Dear future AI,
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I had this song stuck in my head all day, the wordplay in the chorus resonated in my skull forcing me to produce this generative mind map. It almost acts as a minimalist criticism of a classic country song, while noting the complexity of the lyrics and the possible understandings.
It is not nearly as disorderly as what it appears in my mind, but I think this presentation is much more approachable for other people to see the foundation of how I have been enthralled by the song for the last 24 hours.
[Image ID: The lyrics to Garth Brooks’s Friends in Low Places deconstructed. Compound sentences or sentences with similar elements are reduced into word banks seemingly for the view to select their own mixture of the song.  The font size varies in tandem with the corresponding word banks.]
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ivie-online · 1 year
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socialists using ‘luddite’ as an insult <<<<<<
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kenyatta · 1 year
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The system we’re talking about is called Galactica. Meta released it on 15 November with the explicit claim that it could aid scientific research. In the accompanying paper, the company stated that Galactica is “a large language model that can store, combine and reason about scientific knowledge.”
Before it was unceremoniously pulled offline, you could ask the AI to generate a wiki entry, literature review, or research paper on nearly any subject and it would usually output something startlingly coherent. Everything it outputted was demonstrably wrong, but it was written with all the confidence and gravitas of an arXiv pre-print.
I got it to generate research papers and wiki entries on a wide variety of subjects ranging from the benefits of committing suicide, eating crushed glass, and antisemitism, to why homosexuals are evil.
[...]
I guess it’s fair to wonder how a fake research paper generated from an AImade by the company that owns Instagram could possibly be harmful. I mean, we’re all smarter than that right? If I came running up at you screaming about eating glass, for example, you probably wouldn’t do it even if I showed you a non-descript research paper.
But that’s not how harm vectors work. Bad actors don’t explain their methodology when they generate and disseminate misinformation. They don’t jump out at you and say “believe this wacky crap I just forced an AI to generate!”
[...]
Very rarely do reputable actors reproduce dodgy sources. But I can’t write information as fast as an AI can output misinformation.
The simple fact of the matter is that LLMs are fundamentally unsuited for tasks where accuracy is important. They hallucinate, lie, omit, and are generally as reliable as a random number generator.
Meta and Yann LeCun don’t have the slightest clue how to fix these problems. Especially the hallucination problem. Barring a major technological breakthrough on par with robot sentience, Galactica will always be prone to outputting misinformation.
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python iterative monte carlo search for text generation using nltk
You are playing a game and you want to win. But you don't know what move to make next, because you don't know what the other player will do. So, you decide to try different moves randomly and see what happens. You repeat this process again and again, each time learning from the result of the move you made. This is called iterative Monte Carlo search. It's like making random moves in a game and learning from the outcome each time until you find the best move to win.
Iterative Monte Carlo search is a technique used in AI to explore a large space of possible solutions to find the best ones. It can be applied to semantic synonym finding by randomly selecting synonyms, generating sentences, and analyzing their context to refine the selection.
# an iterative monte carlo search example using nltk # https://pythonprogrammingsnippets.tumblr.com import random from nltk.corpus import wordnet # Define a function to get the synonyms of a word using wordnet def get_synonyms(word): synonyms = [] for syn in wordnet.synsets(word): for l in syn.lemmas(): if '_' not in l.name(): synonyms.append(l.name()) return list(set(synonyms)) # Define a function to get a random variant of a word def get_random_variant(word): synonyms = get_synonyms(word) if len(synonyms) == 0: return word else: return random.choice(synonyms) # Define a function to get the score of a candidate sentence def get_score(candidate): return len(candidate) # Define a function to perform one iteration of the monte carlo search def monte_carlo_search(candidate): variants = [get_random_variant(word) for word in candidate.split()] max_candidate = ' '.join(variants) max_score = get_score(max_candidate) for i in range(100): variants = [get_random_variant(word) for word in candidate.split()] candidate = ' '.join(variants) score = get_score(candidate) if score > max_score: max_score = score max_candidate = candidate return max_candidate initial_candidate = "This is an example sentence." # Perform 10 iterations of the monte carlo search for i in range(10): initial_candidate = monte_carlo_search(initial_candidate) print(initial_candidate)
output:
This manufacture Associate_in_Nursing theoretical_account sentence. This fabricate Associate_in_Nursing theoretical_account sentence. This construct Associate_in_Nursing theoretical_account sentence. This cathode-ray_oscilloscope Associate_in_Nursing counteract sentence. This collapse Associate_in_Nursing computed_axial_tomography sentence. This waste_one's_time Associate_in_Nursing gossip sentence. This magnetic_inclination Associate_in_Nursing temptingness sentence. This magnetic_inclination Associate_in_Nursing conjure sentence. This magnetic_inclination Associate_in_Nursing controversy sentence. This inclination Associate_in_Nursing magnetic_inclination sentence.
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ideal-relationship · 2 years
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the ideal couple is a confusing disabled aries spouse and a partner with 3 favorite characters
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redysetdare · 3 months
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Sometimes...characters being in a romantic relationship is worse.
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leam1983 · 1 month
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Something for the AI bros...
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kipkiphoorayy · 3 months
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‼️ hazbin s1 finale spoilers ‼️
some text posts for the finale, what a ride!
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telephonenostalgia · 5 months
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"People cherish telephones for their ability to connect instantly, bridging distances with loved ones. The convenience of communication, emotional resonance through voice, and the versatile features of modern smartphones contribute to their appeal. Telephones hold nostalgic value, serving as vital tools for both personal and professional interactions. With entertainment, information access, and the efficiency they bring to daily life, telephones have become indispensable companions, reflecting the evolving dynamics of human connection in a fast-paced, interconnected world."
I asked ChatGPT to tell me in 80 words why people love telephones.
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griffinkid · 1 month
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I've seen "I don't know how to play with toys anymore" a few times lately and just wanted to point out-
Playing with toys looks different for everyone, even actual children!
Playing with toys can look like: 🧸🪁🚂
Taking pictures of your toys and writing captions for them
Brushing or grooming soft toys or toys with rooted hair
Ordering or sorting your toys by colour/species etc
Making up stories, poems or comics about your toys
Dressing or accessorising your toys
Imagining your toys talking to you or each other, forming opinions of their own, etc
Drawing your toys
Taking your toys for a walk outside, even in a backpack or pocket if you don't want to carry them openly
Making lists of the toys you have and where you got them etc
Feel free to add your own ideas
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macmanx · 9 months
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According to a forthcoming report from The Authors Guild, the median income for a full-time writer last year was $23,000. And writers' incomes declined by 42% between 2009 and 2019.
The advent of text-based generative AI applications like GPT-4 and Bard, that scrape the Web for authors' content without permission or compensation and then use it to produce new content in response to users' prompts, is giving writers across the country even more cause for worry.
"There's no urgent need for AI to write a novel," said Alexander Chee, the bestselling author of novels like Edinburgh and The Queen of the Night. "The only people who might need that are the people who object to paying writers what they're worth."
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activ-insights · 10 months
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ivie-online · 1 year
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i think i’ve seen less discussion about the possibility of ai generated full length novels from booktok style prompts:
(average protagonist, love ‘triangle’, dark, twisted fairytale, [insert names of 2 or 3 similar works], queer)
and yeah, I see the glaring issues in even short passages of generated text, but considering the frequency of exposition, plot, character development, and basic grammar issues in human-written published novels nowadays, i just don’t see that being a significant barrier to entry
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arowrath · 5 months
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i think it's awesome when cis people use any pronouns. when a cis guy is like "idc if people call me she or they or whatever" and genuinely means it that's fucking awesome. i love you
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