I find it curious that AI people always seem very eager to explain how many different agents they have running, or how many different models were used together to produce their results. I assume this is meant to lend the work extra legitimacy? But the output is wrong/buggy all the same.
I’m trying to imagine obscuring the fact that my code sucks by explaining to people how much RAM my computer has, and what color terminal I used to write the code. Seems equally irrelevant to me. But feels like I’m in the minority on this.
@kasei My theory: setting up those agents and models is the part they’re most actively involved in, so they feel like it’s the important part. It feels more like playing with new toys to me, though