DeepTweets: Generating Fake Tweets with Neural Networks Trained on Individual Twitter Accounts - Lex Fridman

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

Karen Woodward: September 2019

DeepTweets: Generating Fake Tweets with Neural Networks Trained on Individual Twitter Accounts - Lex Fridman

PDF) Book Symposium: The Politics of Becoming: Anonymity and Democracy in the Digital Age

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PDF) Book Symposium: The Politics of Becoming: Anonymity and Democracy in the Digital Age

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Lex Fridman on X: The math checks out. / X

PDF) Book Symposium: The Politics of Becoming: Anonymity and Democracy in the Digital Age

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

PDF) Book Symposium: The Politics of Becoming: Anonymity and Democracy in the Digital Age