[solid_fuel]

> You’re obviously passionate about the subject but as someone who works in the field, I assure you there is no now-and-forever requirement for a single stream with no metadata about tokens

I'm quite familiar with how LLMs work internally. If you have an example of how the isolation you are describing could work, you'll have to explain it. By what possible mechanism could "tagging" tokens allow you to isolate the influence between tokens once they are taken into the network? They're still just floating point numbers at the end of the day. To actually treat user prompt data separately from untrusted data, you will need to figure out some new kind of multiplication.

> That “stolen” training data, most of which itself was stolen from older works, does not include user prompts.

Also, don't lie to me, it's rude.