Submitted by Singularian2501 t3_zm22ff in MachineLearning
ReginaldIII t1_j0cxciw wrote
Reply to comment by jms4607 in [R] Talking About Large Language Models - Murray Shanahan 2022 by Singularian2501
That we have the ability to project concepts into the scaffold of other concepts? Imagine a puppy wearing a sailor hat. Yup we definitely can do that.
f(x) = 2x
I can put x=1 in, I can put x=2 but if I don't put anything in then it just exists as a mathematical construct and it doesn't sit their pondering its own existence or the nature of what x even is. "I mean, why 2x ?!"
If I write an equation c(Φ,ω) =(Φ ω Φ)do you zoomorphise it because it looks like a cat?
What about this function which plots out Simba. Is it aware of how cute it is?
x(t) = ((-1/12 sin(3/2 - 49 t) - 1/4 sin(19/13 - 44 t) - 1/7 sin(37/25 - 39 t) - 3/10 sin(20/13 - 32 t) - 5/16 sin(23/15 - 27 t) - 1/7 sin(11/7 - 25 t) - 7/4 sin(14/9 - 18 t) - 5/3 sin(14/9 - 6 t) - 31/10 sin(11/7 - 3 t) - 39/4 sin(11/7 - t) + 6/5 sin(2 t + 47/10) + 34/11 sin(4 t + 19/12) + 83/10 sin(5 t + 19/12) + 13/3 sin(7 t + 19/12) + 94/13 sin(8 t + 8/5) + 19/8 sin(9 t + 19/12) + 9/10 sin(10 t + 61/13) + 13/6 sin(11 t + 13/8) + 23/9 sin(12 t + 33/7) + 2/9 sin(13 t + 37/8) + 4/9 sin(14 t + 19/11) + 37/16 sin(15 t + 8/5) + 7/9 sin(16 t + 5/3) + 2/11 sin(17 t + 47/10) + 3/4 sin(19 t + 5/3) + 1/20 sin(20 t + 24/11) + 11/10 sin(21 t + 21/13) + 1/5 sin(22 t + 22/13) + 2/11 sin(23 t + 11/7) + 3/11 sin(24 t + 22/13) + 1/9 sin(26 t + 17/9) + 1/63 sin(28 t + 43/13) + 3/10 sin(29 t + 23/14) + 1/45 sin(30 t + 45/23) + 1/7 sin(31 t + 5/3) + 3/7 sin(33 t + 5/3) + 1/23 sin(34 t + 9/2) + 1/6 sin(35 t + 8/5) + 1/7 sin(36 t + 7/4) + 1/10 sin(37 t + 8/5) + 1/6 sin(38 t + 16/9) + 1/28 sin(40 t + 4) + 1/41 sin(41 t + 31/7) + 1/37 sin(42 t + 25/6) + 3/14 sin(43 t + 12/7) + 2/7 sin(45 t + 22/13) + 1/9 sin(46 t + 17/10) + 1/26 sin(47 t + 12/7) + 1/23 sin(48 t + 58/13) - 55/4) θ(111 π - t) θ(t - 107 π) + (-1/5 sin(25/17 - 43 t) - 1/42 sin(1/38 - 41 t) - 1/9 sin(17/11 - 37 t) - 1/5 sin(4/3 - 25 t) - 10/9 sin(17/11 - 19 t) - 1/6 sin(20/19 - 17 t) - 161/17 sin(14/9 - 2 t) + 34/9 sin(t + 11/7) + 78/7 sin(3 t + 8/5) + 494/11 sin(4 t + 33/7) + 15/4 sin(5 t + 51/11) + 9/4 sin(6 t + 47/10) + 123/19 sin(7 t + 33/7) + 49/24 sin(8 t + 8/5) + 32/19 sin(9 t + 17/11) + 55/18 sin(10 t + 17/11) + 16/5 sin(11 t + 29/19) + 4 sin(12 t + 14/9) + 77/19 sin(13 t + 61/13) + 29/12 sin(14 t + 14/3) + 13/7 sin(15 t + 29/19) + 13/4 sin(16 t + 23/15) ...
jms4607 t1_j0d65c3 wrote
-
Projecting can be interpolation, which these models are capable of. There are a handful of image/text models that can imagine/project an image of a puppy wearing a sailor hat.
-
All you need to do is have continuous sensory input in your RL environment/include cost or delay of thought in actions, which is something that has been implemented in research to resolve your f(x) = 2x issue.
-
The Cat example is only ridiculous because it obviously isn’t a cat. If we can’t reasonably prove that it is or isn’t a cat, then asking whether it is a cat or not is not a question worth considering. Similar idea goes for the question “is ChatGPT capturing some aspect of human cognition”. If we can’t prove that our brains work in a functionally different way that can’t be approximated to arbitrary degree by a ML model, then it isn’t something worth arguing ab. I don’t think we know enough ab neuroscience to state we aren’t just doing latent interpolation to optimize some objective.
-
The simba is only cute because you think it is cute. If we trained an accompanying text model for the simba function, where it was given the training data “you are cute” in different forms, it would probably respond yes if asked if it was cute. GPT-3 or ChatGPT can refer and make statements ab itself.
At least agree that evolution on earth and human actions are nothing but a MARL POMDP environment.
Viewing a single comment thread. View all comments