☆ Yσɠƚԋσʂ ☆@lemmygrad.ml to technology@hexbear.netEnglish · 8 days agoGPT-5: Overdue, overhyped and underwhelming. And that’s not the worst of it.garymarcus.substack.comexternal-linkmessage-square90linkfedilinkarrow-up193arrow-down11cross-posted to: technology@lemmy.ml
arrow-up192arrow-down1external-linkGPT-5: Overdue, overhyped and underwhelming. And that’s not the worst of it.garymarcus.substack.com☆ Yσɠƚԋσʂ ☆@lemmygrad.ml to technology@hexbear.netEnglish · 8 days agomessage-square90linkfedilinkcross-posted to: technology@lemmy.ml
minus-squareAwoo [she/her]@hexbear.netlinkfedilinkEnglisharrow-up2·edit-28 days ago The user prompt can generate a goal for the system, and then it will work to accomplish it. Ok but how is it getting intelligent before the user prompt? The AI isn’t useful until it is grown and evolved. I’m talking about the earlier stages.
minus-square☆ Yσɠƚԋσʂ ☆@lemmygrad.mlOPlinkfedilinkEnglisharrow-up1·8 days agoWe can look at examples of video generating models. I’d argue they have to have a meaningful and persistent representation of the world internally. Consider something like Genie as an example https://deepmind.google/discover/blog/genie-3-a-new-frontier-for-world-models/ It doesn’t have volition, but it does have intelligence in the domain of creating consistent simulations. So, it does seem like you can get a domain specific intelligence through reinforcement training.
Ok but how is it getting intelligent before the user prompt?
The AI isn’t useful until it is grown and evolved. I’m talking about the earlier stages.
We can look at examples of video generating models. I’d argue they have to have a meaningful and persistent representation of the world internally. Consider something like Genie as an example https://deepmind.google/discover/blog/genie-3-a-new-frontier-for-world-models/
It doesn’t have volition, but it does have intelligence in the domain of creating consistent simulations. So, it does seem like you can get a domain specific intelligence through reinforcement training.