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Here's an evil business idea: Use the LLMs to identify the users most likely to be "vocal influencers" and then prioritize resources for them, ensuring they get

Here's an evil business idea: Use the LLMs to identify the users most likely to be "vocal influencers" and then prioritize resources for them, ensuring they get the best experience. You can engineer a bubble this way. And then the next step is to dynamically vary resources based on prediction of user stickiness. User is frustrated and thinking of trying competitor -> allocate full resources. User is profiled as prone to gambling and will tolerate intermittent rewards -> can safely forward requests to gimped models. User is an resolute AI skeptic and unlikely to ever preach the gospels of vibecoding -> no need to waste resources on him.

oro44 7mo ago
"Here's an evil business idea: Use the LLMs to identify the users most likely to be "vocal influencers" and then prioritize resources for them, ensuring they get the best experience. You can engineer a bubble this way." Its quite likely this is already happening buddy... The 'random' degradation across all LLM-based services is obvious at this point.
vibe42 7mo ago
This is part of why running open models on hardware you control is valuable. They may trail SOTA by 6-12 months (really less for many use cases) but there's more reliability, control etc.