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

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

Karen Woodward: Could an Artificial Intelligence Write a Book?

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

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