To the point of invention
Yeah absolutely. Of course the work of an actual artist will be better in almost every case. AI lacks consistency, it doesn’t always followed the prompt properly, it’s easily confused, geometry and anatomy are sometimes fucked up. But for a group of dirt poor students who just want to have a fun game to play on the weekends AI is good enough.
I play every week in person with a group of friends. But rather than playing with paper and pens and tabletop maps or whatever we use roll20 a free online DnD platform. It lets everyone see the map, characters, character sheets, notes, logs etc on a laptop or tablet. It’s a bit clunky at times, but generally speaking its great.
It’s pretty great for DnD. A lot of people have trouble imagining things in full detail from a text or spoken description, so being able to generate images of the scene, characters, objects etc is super fun and adds a lot of richness to the experience.
Man that last paragraph is kind of a train wreck isn’t it?
Lmao. Why is this not the time or place?
Literally Jorjor Well
Militants like the Taliban?
So from this graph we can say that with all the government help they receive pensioners are about as poor as working people without kids. And that’s bad. Pensioners should be poorer than working people
Pensioners have it too good? Is that the line here?
What tankies are defending Wagner? Any examples?
Source?
Gotcha. Thanks for the explanation!
If he has now got supreme power couldn’t he just declare that the president doesn’t have supreme power, and hey presto it’s gone?
Maybe I misunderstood the OP? Idk
People sometimes act like the models can only reproduce their training data, which is what I’m saying is wrong. They do generalise.
During training the models are trained to predict the next word, but after training the network is always effectively interpolating between the training examples it has memorised. But this interpolation doesn’t happen in text space but in a very high dimensional abstract semantic representation space, a ‘concept space’.
Now imagine that you have memorised two paragraphs that occupy two points in concept space. And then you interpolate between them. This gives you a new point, potentially unseen during training, a new concept, that is in some ways analogous to the two paragraphs you memorised, but still fundamentally different, and potentially novel.
Not an ELI5, sorry. I’m an AI PhD, and I want to push back against the premises a lil bit.
Why do you assume they don’t know? Like what do you mean by “know”? Are you taking about conscious subjective experience? or consistency of output? or an internal world model?
There’s lots of evidence to indicate they are not conscious, although they can exhibit theory of mind. Eg: https://arxiv.org/pdf/2308.08708.pdf
For consistency of output and internal world models, however, their is mounting evidence to suggest convergence on a shared representation of reality. Eg this paper published 2 days ago: https://arxiv.org/abs/2405.07987
The idea that these models are just stochastic parrots that only probabilisticly repeat their training data isn’t correct, although it is often repeated online for some reason.
A little evidence that comes to my mind is this paper showing models can understand rare English grammatical structures even if those structures are deliberately withheld during training: https://arxiv.org/abs/2403.19827
How fucking smug. If only we were all as brave as you.