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Unanswered by the article: Does any of that (joke or not) actually work?

It's input to the model, sure, but it would have to be a pretty dumb model.

I don't doubt that it's possible to create prompt injection attacks that work. I'm very interested in knowing how hard it is.

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My intuition is that the models from this year are really hard to successfully inject.

The labs have been pouring a ton of energy into training against these attacks, as hinted from their system cards.

Doesn't mean they can't be beaten, but you likely need a whole lot more context than a short HTTP header to do it.

It would be very surprising if they weren't working on even more long-context injection, an agent these days could very easily have a single http call get the markdown/http for a whole page that's essentially injection/propaganda. It seems like the agents have been trained on wrapping responses in tails/cats from `.log` calls or other tool calls, in which case the model training will implicitly be trained on the trustworthiness of context within the tool call tokens.

Testing now.

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