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I think you are being disingenuous by omitting the preceding claim. > Whether results of this kind should be considered as successes for the program – what is
by hervature 4y ago
I think you are being disingenuous by omitting the preceding claim.
> 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.
- soraki_soladead 4y agoIf someone says, "Cars may be great at transportation to and from work but we should be cautious to use them as a counterbalance for a trebuchet." I don't think it's disingenuous to take issue with the second part of the claim and to not give the author credit for the first part of the claim.
- hervature 4y agoRight, unless the creator of the car's mission is to use it as a counterbalance for a trebuchet. From [1]: OpenAI is an AI research and deployment company. Our mission is to ensure that artificial general intelligence benefits all of humanity. [1] - https://openai.com/about/ https://openai.com/about/
- nomel 4y agoI think that's an unfair perspective. > 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.
- hervature 4y agoI don't see what's unfair. It's a pretty uncontroversial take and I feel like the people replying are being unfair by using tangentially related analogies. In your analogy, no one is getting mad at NASA here. It's like it is WWII and Germany is hitting London with rockets. The claim here is like "these things are great if we want to launch explosives from this side of the channel and we don't care what we hit in the city. But if we're aiming for the moon, we still have a long way to go." Like, it is just a such an indifferent claim that I'm honestly shocked people are taking issue. For the past month, all I've been hearing is how amazing DALLE-2. If you were a layman, you might believe that we're at AGI. This is simply a sobering reminder not to get caught up in the PR machine. The authors have 10x the text espousing the impressive result, what is wrong with a single sentence?
- axutio 4y ago> someone sifting through images is probably just as costly as paying for Fiverr 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.