I know it’s technically reproducible under the right conditions, and sure it might help in some cases. But it matters little in practice – the issue is that it’

I know it’s technically reproducible under the right conditions, and sure it might help in some cases. But it matters little in practice – the issue is that it’s unstable relative to unrelated parameters you often have good reason to change, often uninitentionally. For instance, you can and will get vastly different output based on usual non-semantic variations in language. I’m not a logician, but this is probably even a necessity given the ginormous output space LLMs operate on. My point is that it’s not a tool, because good tools reliably work the same way. If, for instance, a gun clicks when it’s supposed to fire, we would say that it malfunctioned. Or it fires when the safety is on. We can define what should happen, and if something else happens, there is a fault.