I’m waiting for the day when desperate LLM companies start paying people to post real human content, only for those people to just ask ChatGPT to do it.
more than likely they are scraping other AI bot posts, there isnt that many users on most of the social media sites. its 50/50 AI/BOTS for most of them.
In the future, I imagine authors will go to great lengths to prove their works to be authentically human. It may become standard practice for authors to live-stream their writing. Literally a years-long stream of them sitting at their desk. Comments turned off.
Perhaps libraries could even offer this as a service. Offer a space where authors can come write in public and have it simultaneously live-streamed. Maybe it becomes the norm for authors to mostly write publicly on a platform like Twitch, but to occasionally write in public spaces where they can be physically observed.
This will not be a legal requirement to publish a book. But no respectable author would do otherwise.
Big AI mostly switched to synthetic training data anyway. The books they’re digitizing are being used to gather knowledge, not writing styles or logic (mostly).
As in, when you ask ChatGPT how long some book is, it can just go check (if it’s in the database). It’s also useful if you ask about that book or about knowledge contained in that book. It’ll even reference books now (if you demand that in your prompt).
It’s not the same as earlier LLM tech which relied on scanned text to figure out how to respond to any given prompt (from a language standpoint). The “language” part of LLMs is a solved problem now (thanks to the synthetic training). At least for English 🤷
The problem is that synthetic data is not fit for that purpose. The more of it you use, the worse at dealing with the cases LLMs get.
Think of it like this… You feed a language model a bunch of genuine human-written content. Great. Now it can produce the most likely text in a lot of cases. Word combinations that rarely appear in written language rarely get generated, so most of its synthetic data lacks those rare - but still valid - combinations.
Train it on this synthetic data, and now more outliers and rare combinations get filed off. Rinse and repeat.
I think what they’re saying is that the AI companies don’t need to rinse and repeat. They’ve already created solid programs for how to make LLMS speak English and demonstrate basic reasoning. You don’t need to retrain that part every time. Once you’ve trained “English.exe,” you can just copy it endlessly.
Maybe with enough time, the hard-coded English of the LLMs could become increasingly anachronistic and sound old-fashioned and formal to most ears. But for that kind of for slow maintenance you could just pay people to write examples of modern language and train it on that.
I’m waiting for the day when desperate LLM companies start paying people to post real human content, only for those people to just ask ChatGPT to do it.
more than likely they are scraping other AI bot posts, there isnt that many users on most of the social media sites. its 50/50 AI/BOTS for most of them.
I envision the opposite:
In the future, I imagine authors will go to great lengths to prove their works to be authentically human. It may become standard practice for authors to live-stream their writing. Literally a years-long stream of them sitting at their desk. Comments turned off.
Perhaps libraries could even offer this as a service. Offer a space where authors can come write in public and have it simultaneously live-streamed. Maybe it becomes the norm for authors to mostly write publicly on a platform like Twitch, but to occasionally write in public spaces where they can be physically observed.
This will not be a legal requirement to publish a book. But no respectable author would do otherwise.
This is already happening.
They are paying people bottom market rates to generate unique written content and people are just having AI write it for them.
Some kind of AI ouroboros situation.
It’s simultaneously unethical as an employee and based to be feeding AI it’s own tail
(Non)Human centipede.
Reverse centaur centipede?
“now you only posted 4 times today Jenny, do you just want to do the minimum?”
Supposedly the people paid to rate responses are already using AI
Big AI mostly switched to synthetic training data anyway. The books they’re digitizing are being used to gather knowledge, not writing styles or logic (mostly).
As in, when you ask ChatGPT how long some book is, it can just go check (if it’s in the database). It’s also useful if you ask about that book or about knowledge contained in that book. It’ll even reference books now (if you demand that in your prompt).
It’s not the same as earlier LLM tech which relied on scanned text to figure out how to respond to any given prompt (from a language standpoint). The “language” part of LLMs is a solved problem now (thanks to the synthetic training). At least for English 🤷
The article quotes a post from ISBNdb saying the issue is model collapse from training on synthetic data.
Total collapse is a solution.
It’s also unavoidable.
That’s like saying, “they had some failure modes from the synthetic data, so they should just obviously stop trying forever.”
They’ll just fix the edge cases and move on. Like any programming task.
The problem is that synthetic data is not fit for that purpose. The more of it you use, the worse at dealing with the cases LLMs get.
Think of it like this… You feed a language model a bunch of genuine human-written content. Great. Now it can produce the most likely text in a lot of cases. Word combinations that rarely appear in written language rarely get generated, so most of its synthetic data lacks those rare - but still valid - combinations.
Train it on this synthetic data, and now more outliers and rare combinations get filed off. Rinse and repeat.
I think what they’re saying is that the AI companies don’t need to rinse and repeat. They’ve already created solid programs for how to make LLMS speak English and demonstrate basic reasoning. You don’t need to retrain that part every time. Once you’ve trained “English.exe,” you can just copy it endlessly.
Maybe with enough time, the hard-coded English of the LLMs could become increasingly anachronistic and sound old-fashioned and formal to most ears. But for that kind of for slow maintenance you could just pay people to write examples of modern language and train it on that.
Yes, what’s the issue?