I don't think anyone on LW disagrees that reducing xrisk substantially carries an extremely high utility.
I'm glad you agree.
The points of disagreement are over whether SIAI can non-trivially reduce xrisk, and whether they are the most effective way to do so. At least on this website, this seems like the more productive path of discussion.
I'd be very appreciative to hear if you know of someone doing more.
Well for instance, certain approaches to AGI are more likely to lead to something friendly than other approaches are. If you believe that approach A is 1% less likely to lead to a bad outcome than approach B, then funding research in approach A is already compelling.
In my mind, a well-reasoned statistical approach with good software engineering methodologies is the mainstream approach that is least likely to lead to a bad outcome. It has the advantage that there is already a large amount of related research being done, hence there is actually a reasonable ...
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