uselessTA
Joined 3 years ago
Joined 3 years ago
Examples: FlexHEG from Bengio (proposes on-chip mechanisms that allow workload verification without trust), large bilateral investments into joint AI interpretability or alignment efforts, or invasive audits & inspections (data centers for training these models have a large footprint + this can combine with on-chip mechanisms since producing chips is even more complicated).
And there are probably better proposals available for people to find, if we actually prioritized this.
This is basically exactly what the people I know there support (when training & testing future more capable models), if it could be made to actually happen. Something like https://ai-2040.com/
But I'm just speaking for the people I know, so this is probably not representative of Anthropic as a whole.
> Could be used by bad actors
The people I know aren't as worried about jailbreaking current models as they are about future models, e.g. "the ~50% probability that humans are eclipsed almost entirely, sometime in the next 1-20 years" and what happens then. But it's just hard to get people to take that seriously v.s. bad actor threats which are legible but probably not as catastrophic.
I agree that that they are contributing to the race to the bottom via creating more pressure for countries/competitors to move faster, in a way that seems quite bad on this view too. They arguably were the ~first to push for "recursive self improvement" (models helping build future models) which also seems quite bad on this view.
But although I'd dispute some actions + think there's some overconfidence in superintelligence happening soon, I'm not sure I have a better alternative. They probably bled so many customers to OpenAI while they were sitting on Mythos for months.
Not that they're happy about it, they just see no other realistic choice
Remains to be seen how severe, and unlike climate change there's a lot more uncertainty. Though it's conceivably more extremely catastrophic
Whereas with near-future AI models we can arguably respond more quickly, and it's not clear there will be large direct harm (I expect indirect harm, but that probably happens slower)
Ideally also persuade them there are risks and it's worth everyone slowing down for them, and apply pressure in other ways, but not sure that's even necessary.
I think he's saying that >1% or even >10% chunk of your probability mass should be on superintelligence, otherwise you're implicily >99% confident of stalled progress, which seems overconfident. We're not talking about not some infinitesimal fraction here.
Alternately, just read the bad https://ai-2027.com/ timeline. Or see what Yoshio Bengio, Hinton say might happen. Or just imagine the OpenAI misaligned agent swarm, but vastly more intelligent after future capability advances.
If we actually get superintelligence, our companies/governments will have the choice to either "delegate ~everything to superintelligent AI" or "go bankrupt/lose to people delegating to superintelligence". If superintelligence ends up running most things in the world and we haven't aligned it, that just obviously ends up in a bad place eventually.
Now, we don't have superintelligent AI yet & might not get it. But if you told me in the 2010's that I'd be chatting casually with my computer in 2022, and then 3 years later it'd be doing most of my job, that would have seemed crazy too.