We know that progress towards ever more sophisticated AI will be incremental, with occasional breakthroughs and leaps forward. But even assuming we never leap forward again, the ideal time to sort out what to do when some threshold is crossed is
before we have crossed that threshold.
By way of analogy, the climate crisis is arguably suffering from the same kinds of thinking. We’ve never witnessed the kinds of climate catastrophe that we know is around the corner, but that doesn’t stop people who understand the dynamics from taking it seriously. It also hasn’t stopped a very vocal and powerful opposition who won’t be convinced until we experience real catastrophe.
To me, the argument that we’re nowhere close is unconvincing, and I’d argue irrelevant. Even if the real risk is decades away, we’re now living in the moment where we can mitigate risks before they become pressingly real. Anything else is kicking the can down the road.
> There is a further argument that even with actual AI, which people have written volumes of sci-fi tier essays about how it will kill us all, that there has been no demonstrated risk
How would you define “demonstrated risk”? We’re at a stage where all we can do is speculate and predict based on our models of the world as they currently exist. That says nothing about the actual intrinsic risks that we are or are not speculating about.
And again, the climate crisis seems like a useful parallel to consider.