> When you've lived with AI boosting your productivity for a year or more it's pretty easy to believe your own experience over even a well-constructed "randomised controlled trial".
Me: The person above literally pitches an unsupported belief against a study
You: it's pretty easy to believe your own experience over even a well-constructed "randomised controlled trial".
Really? Really?!!
As for "boosting your productivity", it's also what I'm talking about in the article I linked:
--- start quote ---
For every description of how LLMs work or don't work we know only some, but not all of the following:
- Do we know which projects people work on? No
- Do we know which codebases (greenfield, mature, proprietary etc.) people work on? No
- Do we know the level of expertise the people have? No. Is the expertise in the same domain, codebase, language that they apply LLMs to? We don't know.
- How much additional work did they have reviewing, fixing, deploying, finishing etc.? We don't know.
Even if you have one person describing all of the above, you will not be able to compare their experience to anyone else's because you have no idea what others answer for any of those bullet points.
--- end quote ---
So what happens when we actually control and measure those variables?
Wait, don't answer: "no, it's easier to believe yourself over a study".
See? Skeptics don't even have to "jump on anything that supports their skepticism." Even you supply them with material.