DeepTweets: Generating Fake Tweets with Neural Networks Trained on Individual Twitter Accounts - Lex Fridman
Por um escritor misterioso
Descrição
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
Lex Fridman Uncensored
Is Lex Fridman stupid or just an attention seeker? : r/WhitePeopleTwitter
Google DeepMind on X: It's out! Catch up with @lexfridman and @demishassabis as they discuss everything from chess, the early days of DeepMind, to #AlphaFold and the nature of reality: /
Lex Fridman on LinkedIn: Elon Musk joining Twitter board is a great thing for Twitter and for free…
DeepTweets: Generating Fake Tweets with Neural Networks Trained on Individual Twitter Accounts - Lex Fridman
Tim Urban: Elon Musk, Neuralink, AI, Aliens, and the Future of Humanity
Sooraj K.
How George Hotz would rewrite Twitter codebase
one theory for why lex fridman is so desperate for validation : r/redscarepod
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