DeepTweets: Generating Fake Tweets with Neural Networks Trained on Individual Twitter Accounts - Lex Fridman
Por um escritor misterioso
Last updated 30 agosto 2024
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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
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Lex Fridman Podcast (Podcast Series 2018– ) - Episode list - IMDb
Theo Vasileiadis (@theo_vasi) / X
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Karen Woodward: September 2019
Lex Fridman on Instagram: Some of the most brilliant people I've ever met never finished school. Yes, credentials are useful to know, but I don't define a person by their credentials. Doing
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DeepTweets: Generating Fake Tweets with Neural Networks Trained on Individual Twitter Accounts - Lex Fridman
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How George Hotz would rewrite Twitter codebase
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DeepTweets: Generating Fake Tweets with Neural Networks Trained on Individual Twitter Accounts - Lex Fridman
Sooraj K.
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Lex is impressed with Elon's new robots : r/JoeRogan
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Lex Fridman to the rescue : r/EnoughMuskSpam
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Karen Woodward: September 2019
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Lex Fridman Uncensored
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How George Hotz would rewrite Twitter codebase
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