DeepTweets: Generating Fake Tweets with Neural Networks Trained on Individual Twitter Accounts - Lex Fridman
Por um escritor misterioso
Last updated 16 junho 2024
I fine-tuned the GPT-2 language model (345 million parameters) on tweets from people’s Twitter accounts to create AI versions of them, and then had the bots rewrite real tweets or complete tweets based on various prompts (short sentence starters like “The meaning of life is”). To make it end-to-end (prompt to pic), I add 5 candidates from each bot to a pool of tweets for A/B voting. Once the top tweets are selected I make an image out of them (see below) with OpenCV. Some of these are funny, some are profound, some are dark in a way that gives
DeepTweets: Generating Fake Tweets with Neural Networks Trained on Individual Twitter Accounts - Lex Fridman
Karen Woodward: September 2019
PDF) Book Symposium: The Politics of Becoming: Anonymity and Democracy in the Digital Age
Sooraj K.
one theory for why lex fridman is so desperate for validation : r/redscarepod
Top 30 Twitter Accounts On AI You Should Follow
DeepTweets: Generating Fake Tweets with Neural Networks Trained on Individual Twitter Accounts - Lex Fridman
How George Hotz would rewrite Twitter codebase
Karen Woodward: September 2019
My thoughts on Lex Fridman Podcast with Ian Goodfellow. Deepfakes, Adversarial attacks and Trade-offs
PDF) Book Symposium: The Politics of Becoming: Anonymity and Democracy in the Digital Age
PDF) Book Symposium: The Politics of Becoming: Anonymity and Democracy in the Digital Age
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