this post was submitted on 29 Jun 2023
53 points (100.0% liked)
Technology
37713 readers
459 users here now
A nice place to discuss rumors, happenings, innovations, and challenges in the technology sphere. We also welcome discussions on the intersections of technology and society. If it’s technological news or discussion of technology, it probably belongs here.
Remember the overriding ethos on Beehaw: Be(e) Nice. Each user you encounter here is a person, and should be treated with kindness (even if they’re wrong, or use a Linux distro you don’t like). Personal attacks will not be tolerated.
Subcommunities on Beehaw:
This community's icon was made by Aaron Schneider, under the CC-BY-NC-SA 4.0 license.
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Yeah, I absolutely can't imagine being a writer who is trying to break in this space. Discoverability is going to be a nightmare going forward.
This is my daughter at the moment. Just gone 21, at university studying Creative Writing. Thing is she was doing so well with Biology etc. Changed about 3 months into her first year. She's had a couple of self published books on Amazon, nothing more than a dozen or so sales. She's going to find it hard to find full time work etc. in her chosen field.
I thought about bringing up technical writing, then I realized that it's a possibility that even that job isn't safe within the next 5 years considering the promising development of Spiking Neural Net. This is something I would probably suggests to your daughter at this point that she should probably reconsider her chosen field and try to enter biology or some stable job.
I dunno, people have been trying to automate technical writing for at least 30 years. The results have been mostly garbage. I'm not sure an LLM is going to understand what's going on any better than the folks doing this work now, it tends to involve lengthy discussions.
There are active researches on world model working alongside with llm. The idea generally is that llm is used for generating text, but world model provide more context for llm to understand the world.
When you say "the world", what do you mean? If it means the actual world, I don't understand how that would help with technical writing. Plenty of people can get around in the real world but struggle to use Excel.
As in actual world, providing context to physics of things, providing logical association/evaluation, and so go on. It is basically something that supposed to help LLM get closer to understanding the "world" rather than just spewing out whatever the training dataset give it. It does have a direct implication for technical writing, because with stronger understanding of the things you wanted to write about in technical writing, LLM with World Model would basically auto-fill that.
This is something that the researchers are pretty much all hand on deck working on to create.
One example of the research involving this