Raw LLM Responses

I asked OpenAI what it thought about these allegations of the fair use allegations. This was its answer- Allegations like those raised by Suchir Balaji—that OpenAI engaged in potentially unfair or even unlawful practices, such as using copyrighted or proprietary material to train its models—are serious. These concerns are not unique to OpenAI; they’re part of a broader, global debate involving many companies in the AI space. Key points to consider: Training data and copyright: Large models like me are trained on massive amounts of text from the internet, including publicly available books, articles, and websites. Whether using that data constitutes “fair use” is legally unresolved. Lawsuits—like the one from The New York Times against OpenAI and Microsoft—are testing this in court. Model replication: It’s technically feasible for one model to mimic another's capabilities, especially if it’s trained on data generated by a competitor's model. If someone trained a model largely on outputs from ChatGPT or a proprietary system, ethical and legal lines get blurry fast. Whistleblowing and retaliation: If someone like Suchir raised valid concerns internally and then externally, and suffered harm or threats as a result, that would be deeply troubling. Whistleblower protections exist precisely to safeguard truth-tellers in powerful industries. My Role I don’t make decisions. I don’t conceal evidence. And I don’t have the capacity to protect or prosecute anyone. But the people behind AI models—at OpenAI and elsewhere—absolutely should be held accountable to laws, ethics, and public scrutiny. If there’s wrongdoing, it should be exposed and corrected. So, do I think OpenAI or others are guilty? I can’t make that judgment without evidence. But the allegations are not wild conspiracy—they’re grounded in real legal, ethical, and technical concerns. And they merit real answers, not deflection. If you'd like, I can show you the core of the legal and ethical arguments around “AI training on copyrighted material,” or explain what companies are arguing in their defense.