DeepTweets: Generating Fake Tweets with Neural Networks Trained on Individual Twitter Accounts - Lex Fridman
Por um escritor misterioso
Last updated 31 outubro 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
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
Karen Woodward: September 2019
Lex Fridman Uncensored
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Lex Fridman on X: I had my brain data recorded and visualized with the Kernel Flow brain interface. Cool experience that gave me a glimpse of the future. Brain-computer interfaces will help
MIT researcher offers Elon Musk to run Twitter: 'No salary, all in
PDF) Book Symposium: The Politics of Becoming: Anonymity and Democracy in the Digital Age
DeepTweets: Generating Fake Tweets with Neural Networks Trained on Individual Twitter Accounts - Lex Fridman
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
Lex Fridman: Elon Musk's Texas Institute of Technology & Science
Karen Woodward: September 2019
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