490 karma · joined February 2, 2016
Website: http://www.cs.toronto.edu/~duvenaud/
Toby Ord wrote a book trying to estimate each of these risks, and put AI on top: https://www.amazon.ca/Precipice-Existential-Risk-Future-Huma...
Most rulers don't invent their own societies from scratch, they simply co-opt existing power structures or political movements. El Chapo can run a large, powerful organization from jail.
I agree that we probably won't see human extinction before robotics gets much better, and that robot factories will require lots of infrastructure. But I claim that robotics + automated infrastructure will eventually get good enough that they don't need humans in the loop. In the meantime, humans can still become mostly disempowered in the same way that e.g. North Koreans citizens are.
Again I agree that this all might be a ways away, but I'm trying to reason about what the stable equilibria of the future are, not about what current capabilities are.
You could similarly ask: Why would we ever build a government or institution that cared more about its own self-preservation than its original mission? The answer is: Natural selection favors the self-interested, even if they don't have genes.
If you look at any of the writing on AI risk longer than one sentence, it usually hedges to include permanent human disempowerment as similar risk.
As for being competitive with humans: Again, how about running a scan of a human brain, but faster? I'm not claiming we're close to this, but I'm claiming that such a machine (and less-capable ones along the way) are so valuable that we are almost certain to create them.
As for your second point, human cities also require a lot of infrastructure to keep running - I'm not sure what you're arguing here.
As for your third point - would a horse or chimpanzee feel that "we" were unbeatable in physical fights, because "we" now have guns?
But whether there a few humans in the loop doesn't change the likely outcomes, if their actions are constrained by competition.
What abilities do humans have that AIs will never have?
All three of them have also hired heavily from the academic AI safety researcher pool. Whether they ultimately make costly sacrifices in the name of safety remains to be seen (although Anthropic did this already when they delayed the release of Claude until after ChatGPT came out). But they're not exactly "watching from the sidelines", except for Google and Meta.
I agree we don't necessarily know the details of how to build such a system, but am pretty sure we will be able to eventually.
Scaling Forward Gradient With Local Losses Mengye Ren, Simon Kornblith, Renjie Liao, Geoffrey Hinton https://arxiv.org/abs/2210.03310
and has code: https://github.com/google-research/google-research/tree/mast...
Seems like evidence against the claim that status plays a significant role in setting salaries, unless their status has also increased massively in that time.
You don't need to speculate, the gap is more like 99th vs 93rd percentile:
"Asian-Americans admitted to Harvard earned an average SAT score of 767 across all sections. ... African-American admits an average of 704."
https://www.thecrimson.com/article/2018/10/22/asian-american...
In what sense does the right hemisphere "see the whole without breaking things into pieces"? Especially when it's implemented on a distributed computing medium like neurons.
Your last paragraph seems to make a more concrete claim, which is that we can tell which kinds of cognition are more or less draining, analogous to native vs emulated execution. This makes sense to me, but it's not clear that we couldn't already tell roughly how draining different modes of thought are without neuroscience, nor that the main claims of Eastern spirituality depended on how draining these different states are to hold.
In any case, thanks for clarifying.