I’d love to see the results of a good experiment in in the member-first approach.
I’m leaning more towards the cause-first approach, but possibly for the wrong reasons. It’s easier to measure, it’s impact is easier to communicate and understand, the funnel feels shorter and more straight-forward, the activities and tools to achieve impact are there for me to use, I don’t need to invent anything from skratch. This all might be a streetlight fallacy.
The strongest for the member-first approach for me would be:
After your members take the job in a high-impact position, they will continue to make decisions. Decisions at their work, decisions about where to work next, etc. If they are not well equipped with tools and knowledge about how to make good decisions independently which optimize for impact, their choices might be far from optimal.
By delegating cause prioritization to a few small groups of researchers, we might succumb to effects of echo chambers, fail to identify important mistakes in our reasoning and even more effective causes.
The impact from a member-first approach might be >10-100x larger than that of a cause-first approach. It’s the difference between motivating a few people to work on AI safety vs changing the societal norms themselves to be more impact-focused when doing career planning.
I’d love to see the results of a good experiment in in the member-first approach.
I’m leaning more towards the cause-first approach, but possibly for the wrong reasons. It’s easier to measure, it’s impact is easier to communicate and understand, the funnel feels shorter and more straight-forward, the activities and tools to achieve impact are there for me to use, I don’t need to invent anything from skratch. This all might be a streetlight fallacy.
The strongest for the member-first approach for me would be:
After your members take the job in a high-impact position, they will continue to make decisions. Decisions at their work, decisions about where to work next, etc. If they are not well equipped with tools and knowledge about how to make good decisions independently which optimize for impact, their choices might be far from optimal.
By delegating cause prioritization to a few small groups of researchers, we might succumb to effects of echo chambers, fail to identify important mistakes in our reasoning and even more effective causes.
The impact from a member-first approach might be >10-100x larger than that of a cause-first approach. It’s the difference between motivating a few people to work on AI safety vs changing the societal norms themselves to be more impact-focused when doing career planning.