

Twitter's open algorithm, Auto-GPT, LLMs as "calculators for words", SudoLang & stochastic parrots (News)
Apr 3, 2023
Twitter's decision to open-source its recommendation algorithm sparks a lively debate, complete with amusing bug reports. The discussion shifts to Auto-GPT, showcasing how it autonomously codes and enhances AI programming. Insights into large language models highlight their potential, while the term 'stochastic parrots' humorously captures their quirks and limitations. Overall, it's a blend of technical revelations and lighthearted commentary that keeps listeners engaged.
AI Snips
Chapters
Transcript
Episode notes
Death Metal Band
- Jerod Santo was in a death metal band for seven years.
- People either loved them or hated them, similar to reactions to Elon Musk.
Twitter Algorithm Open-Sourced (Partially)
- Twitter open-sourced part of its recommendation algorithm, but not the training data for its core neural network, "Heavy Rank."
- The released code (235k lines of Scala, 136k Java, 22k Python, 7k Rust) revealed quirks like user categorization (Democrat, Republican, Power User, Elon Musk).
Twitter Algorithm Weights
- Analysis of Twitter's algorithm revealed engagement weights: likes (30x boost), retweets (20x), images/videos (2x).
- Rowan Chung used GPT-4 to analyze the code.