DeepTweets: Generating Fake Tweets with Neural Networks Trained on Individual Twitter Accounts - Lex Fridman
Por um escritor misterioso
Last updated 11 abril 2025

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

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: /
Theo Vasileiadis (@theo_vasi) / X

How George Hotz would rewrite Twitter codebase

How George Hotz would rewrite Twitter codebase

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

Is Lex Fridman stupid or just an attention seeker? : r/WhitePeopleTwitter

MIT researcher offers Elon Musk to run Twitter: 'No salary, all in
Sooraj K.

All it takes to get Lex Fridman to block you : r/DecodingTheGurus

Lex Fridman on X: Here's my conversation with David Eagleman (@davideagleman), a neuroscientist at Stanford and author of the new book Livewired about neuroplasticity and the every-changing human brain. /

Karen Woodward: Could an Artificial Intelligence Write a Book?

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

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

Thread by @JohnsonThought1 on Thread Reader App – Thread Reader App
My thoughts on Lex Fridman Podcast with Ian Goodfellow. Deepfakes, Adversarial attacks and Trade-offs
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