the tech is barely good enough that it is vaguely maybe feasibly cheaper to waste someone’s time using a robot rather than a human- oh wait we do that already with other tech.
“in 20 years imagine how good it’ll be!” alas, no, it scales logarithmically at best and all discussion is poisoned by “what it might be!” in the future, rather than what it is.
It’s not necessary to improve the quality to make this happen, only to train it to work with that company’s products and issues, and integrate it into whatever other systems that may be needed. Just need enough call logs for training data, and that’s already something that’s collected.
except current robot systems and people are likely cheaper, especially when you consider companies are liable for what llm say. which leaves, essentially, scams and other slop, as the last remaining use cases. multi trillion dollar business without a use case.
the tech is barely good enough that it is vaguely maybe feasibly cheaper to waste someone’s time using a robot rather than a human- oh wait we do that already with other tech.
“in 20 years imagine how good it’ll be!” alas, no, it scales logarithmically at best and all discussion is poisoned by “what it might be!” in the future, rather than what it is.
It’s not necessary to improve the quality to make this happen, only to train it to work with that company’s products and issues, and integrate it into whatever other systems that may be needed. Just need enough call logs for training data, and that’s already something that’s collected.
except current robot systems and people are likely cheaper, especially when you consider companies are liable for what llm say. which leaves, essentially, scams and other slop, as the last remaining use cases. multi trillion dollar business without a use case.
The money saved on wages would cover a LOT of liability. And most people that have a case don’t pursue it anyway.