The terms against using the output to develop a competing product seem the same as reverse engineering to me.
Competitors can't get OpenAI's model weights but use its outputs to produce a functionally similar model.
It's like if you had a competitor's engine and couldn't open it up but could still see the outputs: torque, rpm, ..., and could control the inputs: fuel intake, air mixture, etc... Then you make an engine by inferring back from these measurements.
Competitors can't get OpenAI's model weights but use its outputs to produce a functionally similar model.
It's like if you had a competitor's engine and couldn't open it up but could still see the outputs: torque, rpm, ..., and could control the inputs: fuel intake, air mixture, etc... Then you make an engine by inferring back from these measurements.
Wouldn't that be reverse engineering?