The difference being that anyone can sift through images and identify good ones, whereas few people can create good images. The amount of time it takes to complete the task may be the same, but the number of people who can do it greatly increases.
OpenAI is an AI research and deployment company. Our mission is to ensure that artificial general intelligence benefits all of humanity.
> Our mission is to ensure that artificial general intelligence benefits all of humanity.
Saying that DALL-E isn't achieving their mission of beneficial AGI is like getting mad at NASA for pointing their test rockets sideways when trying to go to the moon.
All technology known, biological or man made, was created with incremental improvements, with the early iterations almost alway being unhelpful, and sometimes creating a burden. For example, the construction/invention of the first plow was completely unhelpful, and nothing but a distraction, from that years crop. The incremental improvements after now have it where the majority of humanity would perish within a year if you were to remove modern plows from existence.
There's no instantaneous way to achieve their mission. The incremental steps to achieve their mission don't have to individually achieve that mission. That's not realistic or a rational expectation.
Disregard the above if your perspective is that all technology is bad for man, which I've seen rationally discussed.
> Whether results of this kind should be considered as successes for the program – what is the proper measure to use in evaluating success – depends on the intended use of the program. If the goal is to generate candidate images that a graphic artist will choose from, or choose from and edit, then the system can reasonably be measured in terms of the quality of the best result out of ten or out of one hundred.
They basically admit your Fiverr use case is valid. But say, that it should not be used "in safety-critical applications" which is neither a grand claim nor controversial. It is probably the most blasé claim because, as you point out, no one is expecting this to be used in safety-critical applications. From an economics point of view, the Fiverr use case seems pretty strained to me. If you've ever watched street art, some dazzling things can be done in under 10 minutes. Unless the DALL-E gets it correct on the first shot +99% of the time, someone sifting through images is probably just as costly as paying for Fiverr. What this paper elucidates to me is that even historical figures are off-limits which, in my expectation, is a non-trivial use case.