- cross-posted to:
- technology@hexbear.net
- technology@midwest.social
- technology@lemmy.ml
- cross-posted to:
- technology@hexbear.net
- technology@midwest.social
- technology@lemmy.ml
cross-posted from: https://lemmy.ml/post/36807834
cross-posted from: https://lemmy.ml/post/36807834
I think i disagree with the idea of “democratizing creativity” that the article is predicated on. Perhaps i am misunderstanding what is meant by this, but to my eyes they can be a tool within creativity processes, but they dont democratize creativity. I might be way off base here, so yk, read my words critically. I also have only read the first couple paragraphs, so again, read my words critically!
To my understanding of creativity, LLMs cannot democratize creativity because they remove/replace the creative process. If i want to create an image, and i prompt some software to make it for me, then i have not actually created anything. I have not been creative. It is functionally the same as asking someone else to draw a thing for me.
The article gives some examples tho:
The protest poster, the nurse must have already had an idea of the protest poster, what it should say, what it should look like, what it should communicate, something about it. Even ignoring the central issue of LLMs not actually understanding anything and just being a statistical association of tokens, the LLM doesnt aid in creativity; it serves as a place to outsource creativity to. The nurse may use its output in further creative processes, but that output itself is not the nurses creativity.
Given the starting point of the nurse first having ideas for the poster (a creative process) and then prompting the LLM (an outsourcing process), theres a few ways forward. One is to basically copy/paste it to the posterboard, such as through writing the output on the board. This is a mechanically creative process (the nurse has created a new physical thing) but is not an idea-ly creative process (the nurse has not created a new idea). Another is to take the output and modify it, adapt it, change it. This is not a mechanically creative process (no new thing has been created) but is an idealy creative process (new idea has been created/modified/etc). But to my eyes this latter scenario is comprised of two seperate creative processes and one outsourcing process. It can look like a single creative process, but really it is comprised of multiple processes (at least to my eyes and understanding). It is functionally the same as asking your friend to look things up for you on the internet, except because of how LLMs work youre getting back some mishmash of all the things the friend found instead of the things themselves.
As far as drafting a union newsletter and simulating rent strike scenarios, im not going to dig into it cause its the same argument as the protest poster, but the newsletter would be e.g. feeding recent union events into an LLM and asking it to summarize (again you have not been creative you have outsourced your creativity), and as far as simulating a rent strike, well, try asking an LLM to be a GM to see how well simulations work. LLMs are statistical models, they are not capable of reason or logic. The appearance of such is due to the statistical associations resembling logic, not an underlying “p→q” logical process.
Basically to my eyes LLMs are a tool that can be utilized as a part of an overarching creative process composed of subprocesses but are not themselves creative. The purpose of creativity is to be creative! Thats not to say that nothing that touches an LLM is creative, but rather that the LLM use is an outsourcing of parts of the creative processes.
Ok reading further, i think i agree with the author on the way creativity functions and perhaps misunderstand what they mean by democratizing creativity. That being said, theres some places i think the author is reaally overestimating what LLMs are capable of. E.g.
This is a pretty sweeping statement that i think is wrong. An LLM cannot visualize worlds that could be. Its a statistical model throwing together statistically linked output. The LLM (i hate that the author uses the word AI, its become a meaningless term) spits out the statistically linked tokens, it doesnt go in with an idea of a world or visualize a world that could be, it shoves together the tokens that best match its input.
Idk, maybe im way off base here
No I agree with your initial criticisms of the little essay.
Copying the most relevant bit from another comment I left here:
Here’s a couple examples of “creative use of an LLM” that I thought were fine and were truly creative:
Having some generative model generate video scenes following a theme that someone wanted and stitching them together into a music video that had a coherent theme for a song that he wrote. That took effort and the LLM couldn’t have made the whole music video.
Using one of those voice models trained on celebrities’ voices to make Taylor Swift sing “Get Low” by Lil John. Because it’s a funny idea someone wanted to see happen and they used the tools to make it happen. Now there’s major ethical problems with literally putting words into someone else’s mouth but that’s a different issue from whether it is a creative endeavor or not.