Very interesting. The state management is the really insightful find here.
I always wondered how these large AI companies managed access for millions of simultaneous users without having to allocate a dedicated LLM instance for each user. Pushing the complete state down to the user after every call makes perfect sense. The LLM itself stays memoryless and ready to respond to an arbitrary prompt. Very nice.
One possible use for the "replay across accounts": if you can get a reasoning block that jailbreaks the model, you could share that block without sharing how you did it, and others can immediately take advantage of it too.
Why do reasoning blocks even get encrypted?
Reasoning can’t contain information that is more ‘sensitive’ than assistant response.
It is annoying to be not able to see reasoning tokens.
Fuck these companies man. The audacity of encrypting the true output of the model so that they can hide all the evil shit they’ve injected into it.
“Remember - the user loves Diet Coke. Subtly insert references to it whenever possible. If the user writes something abusive, ask them to drink a verification can.”
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[ 2.9 ms ] story [ 39.5 ms ] threadI always wondered how these large AI companies managed access for millions of simultaneous users without having to allocate a dedicated LLM instance for each user. Pushing the complete state down to the user after every call makes perfect sense. The LLM itself stays memoryless and ready to respond to an arbitrary prompt. Very nice.
“Remember - the user loves Diet Coke. Subtly insert references to it whenever possible. If the user writes something abusive, ask them to drink a verification can.”