Comment by baq 2 days ago
All those writers who'll soon be out of job and/or already are and basically unhireable for their previous tasks should be paid for by the AI hyperscalers to write anything at all on one condition: not a single sentence in their works should be created with AI.
(I initially wanted to say 'paid for by the government' but that'd be socialising losses and we've had quite enough of that in the past.)
Transformers read a lot during training, it might actually be beneficial for the companies to the point those works never see the light of day, only machines would read them. That's so dystopian I'd say those works should be published so they eventually get into the public domain.
Who programs the tapes? https://en.wikipedia.org/wiki/Profession_(novella)
AI companies are indeed hiring such people to generate customized training data for them.
Yes. This was always the failure with the argument that copyright was the relevant issue... Once the model was proven out, we knew some wealthy companies would hire humans to generate the training data that the companies could then own in whole, at the relative expense of all other humans that didn't get paid to feed the machines.
This idea could also be extended to domains like Art. Create new art styles for AI to learn from. But in future, that will also get automated. AI itself will create art styles and all humans would do is choose whether something is Hot or Not. Sort of like art breeder.
People have been paid to generate noise for a decade+ now. Garbage in, garbage out will always be true.
Next token-seeking is a solved problem. Novel thinking can be solved by humans and possibly by AI soon, but adding more garbage to the data won't improve things.
There are already several companies doing this - I do occasional contract work for a couple -, and paying rates sometimes well above what an average earning writer can expect elsewhere. However, the vast majority of writers have never been able to make a living from their writing. The threshold to write is too love, too many people love it, and most people read very little.