Right, it's still a datapoint. There's blurry and not completely substantiated datapoints from both sides. We don't have a full picture... we have a blurry picture.
The issue is a lot of people form definitive conclusions from blurry data. I'm challenging that type of bias. For example: How the hell do we know LLMs produce code that LLMs can't maintain? Like did you actually try it? And what about the instances where it worked? I don't think the answer is as clean/cut as yes/no. Even if we had data, most likely the data will be contradictory data in the sense that some AI projects worked, some descended into slop.
The issue is a lot of people form definitive conclusions from blurry data. I'm challenging that type of bias. For example: How the hell do we know LLMs produce code that LLMs can't maintain? Like did you actually try it? And what about the instances where it worked? I don't think the answer is as clean/cut as yes/no. Even if we had data, most likely the data will be contradictory data in the sense that some AI projects worked, some descended into slop.