Why is that a problem, unless you’re worried about wasting people’s time with half-baked ideas (which you said that you’re not)? Surely we should just judge our work by our current standards, otherwise we might as well judge our work by what we expect post-Singularity standards to be and then never publish anything?
Because some people might already be at this level, and I worry that I’m just adding noise to their signal.
Maybe my question is this: given that, every year, I unexpectedly learn important considerations that discredit my old beliefs, how can I tell that my models are further along this process than those written by others?
I guess you can either write down your current models and ask people privately for feedback, or just talk to people who you think might have better models than you and try to learn from them. Write down your models for public consumption when your private feedback/learning suggests that your models are as good as the state of the art, or at least competitive with what has been publicly written down.
Also I’m curious, what important considerations have you learned recently?
Why is that a problem, unless you’re worried about wasting people’s time with half-baked ideas (which you said that you’re not)? Surely we should just judge our work by our current standards, otherwise we might as well judge our work by what we expect post-Singularity standards to be and then never publish anything?
Because some people might already be at this level, and I worry that I’m just adding noise to their signal.
Maybe my question is this: given that, every year, I unexpectedly learn important considerations that discredit my old beliefs, how can I tell that my models are further along this process than those written by others?
I guess you can either write down your current models and ask people privately for feedback, or just talk to people who you think might have better models than you and try to learn from them. Write down your models for public consumption when your private feedback/learning suggests that your models are as good as the state of the art, or at least competitive with what has been publicly written down.
Also I’m curious, what important considerations have you learned recently?