And this blog post states “beyond Codex”, again for auto completion: https://github.blog/2023-07-28-smarter-more-efficient-coding...
Lastly, OpenAI states on the original Codex page: “OpenAI Codex is a descendant of GPT-3; its training data contains both natural language and billions of lines of source code from publicly available sources, including code in public GitHub repositories.” - It included GitHub repos, but it never was only GitHub repos. https://openai.com/blog/openai-codex
Update: GitHub Community Manager confirms it here: https://github.com/orgs/community/discussions/56975#discussi...
Also, I wasn't contesting that autocomplete uses GPT 3.5 as the base model, I was contesting the idea that it uses the same derivative model as chat.
I started typing this in my IDE in a rust project I already had open:
// the following function prints out the best soccer players of all time, which teams they played for, and why they were great as a hashmap fn soccer_greats() -> Hashmap<String,(Vec<String>, String)> { let mut hm = HashMap::new();
it completed with the following: hm.insert("Pele", (vec!["Santos", "New York Cosmos"], "He scored over 1000 goals in his career".to_string())); hm.insert("Maradona", (vec!["Boca Juniors", "Barcelona", "Napoli"], "He won the world cup with Argentina".to_string())); hm.insert("Messi", (vec!["Barcelona"], "He has won the Ballon d'Or 6 times".to_string())); hm.insert("Ronaldo", (vec!["Barcelona", "Inter Milan", "Real Madrid", "AC Milan", "Corinthians"], "He won the world cup with Brazil".to_string())); hm.insert("Zidane", (vec!["Juventus", "Real Madrid"], "He won the world cup with France".to_string())); }
I don't believe that information is going to be on github anywhere, but i could be mistaken.
In the context of the person I replied to, the point is that it isn't made up primarily of a bunch of communications between programmers.