3 ms·

That does seem to be the plurality opinion yes. But you are responding to someone saying that what counts as transformative hasn't been decided by saying that y

That does seem to be the plurality opinion yes. But you are responding to someone saying that what counts as transformative hasn't been decided by saying that you have decided. We don't know how human brains do it. What if we found that humans actually do it in the same way? Would that alter the dialog, or should we still give preference to humans? If we should, why should we?

piva00 1y ago
> or should we still give preference to humans? If we should, why should we? Because of the scaling abilities of a human brain, you cannot plug more brains into a building to pump out massive amounts of transformative work, it requires a lot for humans to be able to do it which creates a natural limit to the scale it's possible. Scale and degree matter even if the process is 100% analogous to how humans do it, the natural limitation for computers to do it is only compute, which requires some physical server space, and electricity, both of which can be minimised with further technological advances. This completely changes the foundation of the concept for "transformative work" which before required a human being.
- wizzwizz4 1y ago
  This is a good observation, and motivates adjusting the legal definition of "transformative" even if the previous definition did include what generative AI systems can now do.
wizzwizz4 1y ago
> What if we found that humans actually do it in the same way? We know that humans don't – or, at least, aren't limited to this approach. A quick perusal of an Organization for Transformative Works project (e.g. AO3, Fanlore) will reveal a lot of ideas which are novel. See the current featured article on Fanlore (https://fanlore.org/wiki/Stormtrooper_Rebellion https://fanlore.org/wiki/Stormtrooper_Rebellion), or the (after heavy filtering) the Crack Treated Seriously tag on AO3 (https://archiveofourown.org/works?work_search[sort_column]=kudos_count&include_work_search[rating_ids][]=11&include_work_search[category_ids][]=21&exclude_work_search[archive_warning_ids][]=17&exclude_work_search[archive_warning_ids][]=18&exclude_work_search[archive_warning_ids][]=19&exclude_work_search[archive_warning_ids][]=20&work_search[excluded_tag_names]=Meta%2CDrugs%2CAlcohol%2CSelf-Indulgent%2CN+Things%2CNot+Beta+Read&work_search[crossover]=F&work_search[complete]=T&work_search[words_to]=10000&tag_id=Crack+Treated+Seriously https://archiveofourown.org/works?work_search[sort_column]=k...). You can't get stuff like this from a large language model.

piva00 1y ago

> or should we still give preference to humans? If we should, why should we? Because of the scaling abilities of a human brain, you cannot plug more brains into a building to pump out massive amounts of transformative work, it requires a lot for humans to be able to do it which creates a natural limit to the scale it's possible. Scale and degree matter even if the process is 100% analogous to how humans do it, the natural limitation for computers to do it is only compute, which requires some physical server space, and electricity, both of which can be minimised with further technological advances. This completely changes the foundation of the concept for "transformative work" which before required a human being.

wizzwizz4 1y ago
This is a good observation, and motivates adjusting the legal definition of "transformative" even if the previous definition did include what generative AI systems can now do.

wizzwizz4 1y ago

> What if we found that humans actually do it in the same way? We know that humans don't – or, at least, aren't limited to this approach. A quick perusal of an Organization for Transformative Works project (e.g. AO3, Fanlore) will reveal a lot of ideas which are novel. See the current featured article on Fanlore (https://fanlore.org/wiki/Stormtrooper_Rebellion https://fanlore.org/wiki/Stormtrooper_Rebellion), or the (after heavy filtering) the Crack Treated Seriously tag on AO3 (https://archiveofourown.org/works?work_search[sort_column]=kudos_count&include_work_search[rating_ids][]=11&include_work_search[category_ids][]=21&exclude_work_search[archive_warning_ids][]=17&exclude_work_search[archive_warning_ids][]=18&exclude_work_search[archive_warning_ids][]=19&exclude_work_search[archive_warning_ids][]=20&work_search[excluded_tag_names]=Meta%2CDrugs%2CAlcohol%2CSelf-Indulgent%2CN+Things%2CNot+Beta+Read&work_search[crossover]=F&work_search[complete]=T&work_search[words_to]=10000&tag_id=Crack+Treated+Seriously https://archiveofourown.org/works?work_search[sort_column]=k...). You can't get stuff like this from a large language model.