Yup. We're in a situation where everyone is thinking "if we don't, then they will." Bans are counterproductive. Instead we should be throwing our effort into "if we're going to do it then we need to do it right."
Brkdncr@lemmy.world 8 hours ago
Can’t. It’s an arms race.
FaceDeer@fedia.io 8 hours ago
stealth_cookies@lemmy.ca 6 hours ago
This is actually an interesting point I hadn’t thought about or see people considering with regards to the high investment cost into AI LLMs. Who blinks first when it comes to stopping investment into these systems if they don’t prove to be commercially viable (or viable quick enough)? What happens to the West if China holds out for longer and is successful?
ToastedRavioli@midwest.social 4 hours ago
The thing is that there is a snake eating its tail type of logic for why so many investors are dumping money into it. The more it is interacted with, the more it is trained, and then the better it allegedly will be. So these companies push shoehorning it into everything possible, even if it is borderline useless, on the assumption that it will become significantly more useful as a result. Then be more valuable for further implementation, making it worth more.
So no one wants to blink, and theyve practically dumped every egg in that basket
tal@lemmy.today 8 hours ago
That’s one issue.
Another is that even if you want to do so, it’s a staggeringly difficult enforcement problem.
What they’re calling for is basically an arms control treaty.
For those to work, you have to have monitoring and enforcement.
We have had serious problems even with major arms control treaties in the past.
en.wikipedia.org/…/Chemical_Weapons_Convention
And then Russia started Novichoking people with the chemical weapons that they theoretically didn’t have.
Or the Washington Naval Treaty:
en.wikipedia.org/wiki/Washington_Naval_Treaty
That had plenty of violations.
And it’s very, very difficult to hide construction of warships, which can only be done by large specialized organizations in specific, geographically-constrained, highly-visible locations.
But to develop superintelligence, probably all you need is some computer science researchers and some fairly ordinary computers. How can you monitor those?
You can maybe tamp down on the deployment in datacenters to some degree, especially specialized ones designed to handle high-power parallel compute. But the long pole here is the R&D time. Develop the software, and it’s just a matter of deploying it scale, and that can be done very quickly, with little time to respond.
danzabia@infosec.pub 6 hours ago
I do not think this statement is accurate. It requires many, very expensive, highly specialized computers that are completely spoken for. Monitoring can be done with hardware geolocation and verification of the user. We are probably 1-2 years away from this already, due to the fact that a) US wants to win the AI race vs China but b) the White House is filled with traitors long NVDA.