I want to get a sense for what kinds of things EAs — who don’t spend most of their time thinking about AI stuff — find most confusing/uncertain/weird/suspect/etc. about it.
By “AI stuff”, I mean anything to do with how AI relates to EA.
For example, this includes:
What’s the best argument for prioritising AI stuff?, and
How, if at all, should I factor AI stuff into my career plans?
but doesn’t include:
How do neural networks work? (except inasmuch as it’s relevant for your understanding of how AI relates to EA).
Example topics: AI alignment/safety, AI governance, AI as cause area, AI progress, the AI alignment/safety/governance communities, …
I encourage you to have a low bar for writing an answer! Short, off-the-cuff thoughts very welcome.
[Question] What is most confusing to you about AI stuff?
I want to get a sense for what kinds of things EAs — who don’t spend most of their time thinking about AI stuff — find most confusing/uncertain/weird/suspect/etc. about it.
By “AI stuff”, I mean anything to do with how AI relates to EA.
For example, this includes:
What’s the best argument for prioritising AI stuff?, and
How, if at all, should I factor AI stuff into my career plans?
but doesn’t include:
How do neural networks work? (except inasmuch as it’s relevant for your understanding of how AI relates to EA).
Example topics: AI alignment/safety, AI governance, AI as cause area, AI progress, the AI alignment/safety/governance communities, …
I encourage you to have a low bar for writing an answer! Short, off-the-cuff thoughts very welcome.