Is the problem that the response sounds like AI? Or the response is incorrect? Or too verbose? Or a mix of all three or something else?
What if the response was perfect and sounded exactly like your colleague. Would you care if it was AI generated then?
I think there could be a world where a colleague could just ask its (finely tuned) AI tool of choice to respond for it and colleagues would hardly notice as the output would be so good!
I can’t help but think that that world would be so much more productive as we would spend less time in slack answering messages and more time doing more important work.
However there are two very important things that need to be in place for this to happen:
- colleagues have to have their AI tool know all of the their context on their projects….etc and and in-depth understanding of how they write
- colleagues must review (and tweak if necessary) the output
My guess is that the problems you are seeing is that your colleagues are failing on one or both of these points
Its like reading reddit comments now. Many of them are generated by AI and bots, and they sound just like real people. Or advertisers masquerading as regular people recommending specific products.
It used to be fairly obvious (using em dashes, etc) but now AI writing, with the correct guidance, is very much the same as regular conversational writing.
If all your colleague does is generate a “response” in a specific writing style based on some context, there’s no reason to talk to them at all. The good ones have some novel human insight that can’t be approximated by a slop generator.
And if you really want to record all your work and project context somewhere, just let people ... look at that directly? Or summarize and query it with their own LLM if they want to?
What if the response was perfect and sounded exactly like your colleague. Would you care if it was AI generated then?
I think there could be a world where a colleague could just ask its (finely tuned) AI tool of choice to respond for it and colleagues would hardly notice as the output would be so good!
I can’t help but think that that world would be so much more productive as we would spend less time in slack answering messages and more time doing more important work.
However there are two very important things that need to be in place for this to happen: - colleagues have to have their AI tool know all of the their context on their projects….etc and and in-depth understanding of how they write - colleagues must review (and tweak if necessary) the output
My guess is that the problems you are seeing is that your colleagues are failing on one or both of these points