It’s guaranteed that one quick attempt at something sophisticated will fail. It’s almost guaranteed that anything sophisticated will fail, no matter how much preparation and practice you have. However for something straightforward and toilsome, AI tooling can often save you 50% of the grunt work. I use it to pull and collate updates from JIRA, gitlab, slack, and zoom about what happened to this set of 12 projects being worked on by those 25 people. It tabulates and summarizes and I dig into specifics from there. It’s not doing anything critical, I’m not passing on slop to anyone, and I’m not relying on it to take things to the finish line. It saves me some busywork and occasionally finds things I didn’t know about. Really, the tools are great for specific purposes once you understand them and dial them in. This gets lost when everyone is either hailing it as the Second Coming of Jesus or hating on it as the Antichrist.
I used AI at work this week and it was so consistently incorrect that I dropped it
It’s guaranteed that one quick attempt at something sophisticated will fail. It’s almost guaranteed that anything sophisticated will fail, no matter how much preparation and practice you have. However for something straightforward and toilsome, AI tooling can often save you 50% of the grunt work. I use it to pull and collate updates from JIRA, gitlab, slack, and zoom about what happened to this set of 12 projects being worked on by those 25 people. It tabulates and summarizes and I dig into specifics from there. It’s not doing anything critical, I’m not passing on slop to anyone, and I’m not relying on it to take things to the finish line. It saves me some busywork and occasionally finds things I didn’t know about. Really, the tools are great for specific purposes once you understand them and dial them in. This gets lost when everyone is either hailing it as the Second Coming of Jesus or hating on it as the Antichrist.
Unsurprisingly, the reality is somewhere between.
May I ask what the use case was?