Rob Wiblin
speaker
1,787 appearances
3 recordings
1 series
first heard Sep 2024
last heard May 2025
Rob Wiblin’s voice in public audio — every appearance, attributed to the second.
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Coming back to the to Google's approach to safety.
When I read the the Pause AI folks and you know people who were sympathetic to to that, I think
A key underlying grievance, a kind of fury that that I that that I hear coming across is a sense that what is happening with with research into frontier models and AGI is kind of democratically illegitimate because it's posing all of us in the UK and US and around the world potentially to a disaster that could that that could kill us.
Um, but we haven't really been consulted on a level that would be commensurate with with the risk that they believe is being run.
And maybe and and even if you did discuss it in the UK and US where like much of the work is is is happening, well, people who are overseas in other countries who are also exposed to the to the risk of catastrophe here are barely being consulted and and their voice uh doesn't doesn't really matter.
So that would at least say, you know, we should have a like a
a more affirmative sign off by Congress or Parliament that this work that the benefit exceeds the risks and and we should be going ahead.
Um but ideally probably we should be talking to a whole lot of other people elsewhere who are also going to be heavily, heavily affected by this.
Yeah.
What what what what what do you make of that uh that frustration that people feel?
I think something that has turned the the worries about this democratic legitimacy issue up to kind of a higher fever pitch is that
All of almost all of the um AI companies, uh maybe meta uh uh aside, um, have talked a big talk about how they would like to have, you know, binding legal constraints on on what they can do and you know, heavy involvement in in government and oversight and so on.
Um, but they are yet to lobby actually in favor of any particular legislation that truly would bind them and and and and be very costly and and restrict what kinds of models that uh they could train.
Um and I guess in the you know that they've turned down perhaps.
Opportunities to argue in favor of uh legislation that that that that has been proposed.
I think and the worry, understandably, is that uh the companies will always say they're in favor of this, but the the day when they'll actually support any specific uh constraint when they're actually willing to put the handcuffs on themselves may may simply never never come.
Um I'm not sure whether whether you whether you want to comment on that, but uh but I do think that at the point that you actually saw companies saying, yes, this is the specific regulation that we want to like bind.
ourselves, we want it to apply to everyone.
It would reassure a lot of people who are currently unsure how much they can they they they they they they can trust these quite powerful entities.
So a worry that I that I used to have and maybe have a little bit less is that improvements in algorithmic efficiency and in dissemination, proliferation of serious compute might make a lot of these rules and uh you know the frontier safety framework not as effectual as it might otherwise be, because even if a big organization like GDM uh has these quite stringent controls and all all of these, all of these uh you know, even
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