This is the real problem with LLMs. There is no way to separate code from data. At best, models could be trained on tokens that indicate untrusted data coming in. But then the untrusted tokens could also be messed with.
I've wondered if it would be possible for there to be two input streams: 1, for prompt, 2 for untrusted data. But I suspect that transformers would still only optionally decide what each one was for. So it would still be a prompt level suggestion, rather than a hard and fast rule.
I've wondered if it would be possible for there to be two input streams: 1, for prompt, 2 for untrusted data. But I suspect that transformers would still only optionally decide what each one was for. So it would still be a prompt level suggestion, rather than a hard and fast rule.