1. ChatGPT data is widely on the internet, just google Sharegpt dataset and you can scrap 200k+ conversations with a few stroke of huggingface commands. These were then used by the open source community like Vicuña models, there was a period of several months in the open source community where RLAIF was all the rage; so this data populated the internet. So if a company is crawling and scraping the internet, this will eventually be in the dataset.
2. The v3 deepseek model was trained on 15T tokens. Please educate yourself and calculate how long (in latency, inference for 1k token output will take almost 30seconds) and cost it would be to extract 15T tokens from ChatGPT / Azure API. Granted API accounts all have spend limits, and will trip fraud detection on OAI billing, how long would the subterfuge had to take place? With which model? At what time? Wouldn’t they have to keep repeating this for subsequent generation of OAI models?
3. OAI didn’t invent MLA, they didn’t invent multi token prediction with disconnected ROPE, they didn’t invent FP8 matmul training dynamics (while accumulating in FP32) without losing significant quality.
So go away