There’s been this weird idea lately, even among people who used to recognize that copyright only empowers the largest gatekeepers, that in the AI world we have to magically flip the script on copyr…
Because there is a difference. A computer does not learn or understand anything. Human beings can transform a concept. A LLM or other generative AI does not transform a concept at all.
So if I ask it to create a story about a cow juggling bowling balls, it was not creating an original story? Just spitting out stories it has heard of before?
It’s spitting out variations of the statistical results based on your input parameter. It reorganizes ideas and reorganizes the stories it has seen into something else. That’s not transforming the data by adding something new, rather just retrofitting existing data to sound like it’s creating something new
retrofitting existing data to sound like it’s creating something new.
What the difference? That is basically how new human ideas are formed. Did you think you add completely new ideas everytime you transform your previous knowledge?
But since you’re so confident in your claims, I’m sure it should be easy to prove the following ChatGPT output is not new and can be easily traced back to its training data:
Prompt: Create a short poem about a cow juggling bowling balls on a boat
Output: In a boat on gentle waves it sways,
A cow, not grazing in greenish bays.
Hooves deftly juggle, balls in flight,
Bowling orbs, a whimsical sight.
Bovine artist, on the sea’s embrace,
Balancing spheres with tranquil grace.
Ocean breeze, a playful gale,
A cow’s performance, a quirky tale.
Because there is a difference. A computer does not learn or understand anything. Human beings can transform a concept. A LLM or other generative AI does not transform a concept at all.
So if I ask it to create a story about a cow juggling bowling balls, it was not creating an original story? Just spitting out stories it has heard of before?
Edit: missed a ‘not’.
It’s spitting out variations of the statistical results based on your input parameter. It reorganizes ideas and reorganizes the stories it has seen into something else. That’s not transforming the data by adding something new, rather just retrofitting existing data to sound like it’s creating something new
What the difference? That is basically how new human ideas are formed. Did you think you add completely new ideas everytime you transform your previous knowledge?
But since you’re so confident in your claims, I’m sure it should be easy to prove the following ChatGPT output is not new and can be easily traced back to its training data:
Prompt: Create a short poem about a cow juggling bowling balls on a boat
Output: In a boat on gentle waves it sways, A cow, not grazing in greenish bays. Hooves deftly juggle, balls in flight, Bowling orbs, a whimsical sight.
Bovine artist, on the sea’s embrace, Balancing spheres with tranquil grace. Ocean breeze, a playful gale, A cow’s performance, a quirky tale.