Many models today, even if they don't train on OpenAI data, still claim to be trained by OpenAI due to the prevalence of OpenAI outputs on the internet that are hard to filter out.

OpenAI has stated that DeepSeek uses their API, and there are claims that it is a distilled model trained on OpenAI's outputs, raising questions about OpenAI's terms of service that prohibit building competitors with outputs from their models.

There's a narrative shift happening where companies like OpenAI are trying to protect themselves from claims of training on their outputs, despite many AI startups having trained on OpenAI outputs without facing bans.

Our strong relationship with OpenAI stems from our ability to provide feedback on model performance based on our specific use cases, which has helped improve their offerings.

OpenAI and many companies trained on internet text without permission, creating a loophole where data generated from OpenAI can be uploaded and used by others without violating terms of service.

The distinction between engineers and researchers at OpenAI was minimized to foster collaboration and understanding of the full stack, enhancing the quality of research and implementation.

Despite criticisms, OpenAI and DeepMind have been transparent about their methodologies, making it easier for others to replicate models like GPT-3 if they can secure enough compute and talent.

The latest AI models, like OpenAI's, demonstrate a higher degree of precision and thoroughness in understanding nuanced legal texts, which previous models struggled with.

At OpenAI, we pursued robotics not for commercial motives, but to demonstrate the power of machine learning, which later influenced large language models.