That would certainly change the game of perverted incentives. I'm afraid they're currently trying to push some sort of absolution of this risk. Even if damage happens they will say we warned people in advance, this was always a risk it's not our fault these systems are opaque black boxes, it's a matter of national security to develop them etc etc.
Or, in other words - we have two P(Doom), one for AI being developed, and another for AI being not developed. The latter is not discussed enough imho.
What on earth are you talking about?
But that’s my point - we should compare the risks of having AGI with the risks of not having it. And not pretend it’s roses or rainbows without it.
Why would a person who is happy, entertained, wealthy, well fed, and have 200 years of healthy high quality life expected ahead of them going to risk losing what they have in war?
-- there aren't zero reasons, sure-- but there are fewer.
And our technology has brought us absolutely tremendous prosperity in many regards and there is good reason to believe that AI can help create much more.
'Prosperity' has never been and will never be enough for some people. And unfortunately those are the same kinds of people who relentlessly seek power.
The opposite is true of releasing ever more powerful AI into the world to do your bidding.
1) there are inherent risks involved with developing AI,
2) there are benefits to developing AI,
3) thus, it's entirely possible that the downside from the risks outweighs the upsides. In this case, the correct thing to do would be to not develop AI at all.
Regarding 1), there are many non-existential problems with AI that are already causing societal harm, i.e. debasing truth via generated videos and images, AI girlfriends, overwhelming quantities of slop content, unemployment, record carbon emissions, etc.
Regarding 2), I'm not personally convinced that the upside is there for the average person. I really hope to be convinced otherwise however.
Or, in other words, sure, crossing this chasm is dangerous, but this side is on fire anyway and we don’t have many ways out otherwise.
"Smaller and more efficient" models are fine. It's "smarter" the problem.
Training new frontier models will likely require a huge amount of computational resources for a long time. Few companies worldwide are capable of that. It's not like someone will train a new GPT 6 - like model in their garage.