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

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Theo Vasileiadis (@theo_vasi) / X

Karen Woodward: September 2019

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

Karen Woodward: September 2019

Karen Woodward: September 2019

Theo Vasileiadis (@theo_vasi) / X

Sooraj K.

Nassim Nicholas Taleb on X: 5) Finally, an example of how Lex Fridman is a fake through & through: He posted comments meaning to show his courtesy & moral superiority then blocked

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