I appreciate OpenAI writing a difficult public statement. Rolling out general purpose LLMs slowly, with internal safety checks is probably not adequate enough,

I appreciate OpenAI writing a difficult public statement. Rolling out general purpose LLMs slowly, with internal safety checks is probably not adequate enough, but may be the best that they can do. However I think that much of the responsibility lies with consumers of these LLMs. In the simple case, be thoughtful when using the demo web apps and take responsibility for any output generated by malicious prompts. In the complex case, the real use case, really: applications use local vector embeddings for local data/documents and use these embeddings to efficiently isolate local document/data text that is passed as context text, along with queries, to the OpenAI API calls. This cuts down the probability of hallucinations since the model is processing your text. [1] Take responsibility for how you use these models, seems simple at least in concept. Perhaps the government needs to pass a few new laws that set clear and simple to enforce guardrails on LLMs use. [1] I might as well plug the book on this subject that I recently released. Read for free online https://leanpub.com/langchain/read https://leanpub.com/langchain/read