I mainly use it for comparing products, and finding tools/products that fit my needs (sustainability/longevity/value/complexity/learning curve/beginner friendliness). I find it to be really time saving for this particulqr purpose. Customer service agents should be forgotten by history ASAP.
EDIT: customer service AI agents, is what I meant
So your use case for LLMs is the first aspect of them that will be enshittified.
LLMs advocating for products that pay them is step 1 of incoming enshittification.
Also, anyone that has ever talked to customer service of any kind knows that the “automated” stuff is the absolute worst and you want a human most of the time.
While I understand the hate and also somewhat agree with it, there is no denying that it can be useful for some things. If those moments of usefulness are worth the damage to society and environment? Absolutely not. I am however guilty of using it anyway to cut research time ten or twenty times for a few particular use cases.
I mainly use it for comparing products, and finding tools/products that fit my needs (sustainability/longevity/value/complexity/learning curve/beginner friendliness). I find it to be really time saving for this particulqr purpose. Customer service agents should be forgotten by history ASAP. EDIT: customer service AI agents, is what I meant
So your use case for LLMs is the first aspect of them that will be enshittified.
LLMs advocating for products that pay them is step 1 of incoming enshittification.
Also, anyone that has ever talked to customer service of any kind knows that the “automated” stuff is the absolute worst and you want a human most of the time.
Prepare to get downvoted and get critical comments. People really hate llms here. It’s just as annoying as the people on the flipside.
While I understand the hate and also somewhat agree with it, there is no denying that it can be useful for some things. If those moments of usefulness are worth the damage to society and environment? Absolutely not. I am however guilty of using it anyway to cut research time ten or twenty times for a few particular use cases.
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