this post was submitted on 18 Jul 2025
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I would think that, since it's been recognised that these messages are costing a lot of energy (== money) to process, companies would at some point add a simple <if input == "thanks"> type filter to catch a solid portion of them. Why haven't they?
Because the only progress we know how to make on computers is backwards it seems.
Generative AI is supposed to be destructive. It's a feature.
It won't be as simple as that and the engineers who work on these systems can only think in terms of LLM and text classification, so they'd run your message through a classifier and end the conversation if it returns a "goodbye or thanks" score above 0.8, saving exactly 0 compute power.
I mean, even if we resort to using a neural network for checking "is the conversation finished?" That hyper-specialised NN would likely be orders of magnitude cheaper to run than your standard LLM, so you could likely save quite a bit of power/money by using it to filter for the actual LLM, no?