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."
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."
stealth_cookies@lemmy.ca 1 month 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 1 month 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