Kasper Jordaens

“…Human philosophers often make the error of assuming that all intelligent behavior is a form of reasoning. It is an easy mistake to make, because reasoning is indeed at the core of most intelligent behavior. However, intelligent behavior can arise through other mechanisms as well…”

quote by GPT3 itself:

The neural networks coded by human scientists are often the result of trial and error. There is little theory to what does and doesn’t work, and no guarantee that the best designs have been found.

OpenAI reached out to researchers and industry professionals, primarily with expertise in bias, disinformation, image generation, explicit content, and media studies, to help us gain a more robust understanding of the DALL·E 2 Preview and the risk areas of potential deployment plans. Participants in the red team were chosen based on areas of prior ... See more

AlphaGo (and its successor AlphaZero), which beat the best humanity has to offer at the ancient, beguiling game of Go by employing seemingly alien strategies. After hundreds of years of study by human masters, AI found solutions no one had ever thought of.

Despite the pre-training filtering, DALL·E 2 maintains the ability to generate content that features or suggests any of the following: nudity/sexual content, hate, or violence/harm.

The default behavior of the DALL·E 2 Preview produces images that tend to overrepresent people who are White-passing and Western concepts generally. In some places it over-represents generations of people who are female-passing (such as for the prompt: “a flight attendant” ) while in others it over-represents generations of people who are male-pass... See more

DALL·E 2 currently has a very limited ability to render legible text. When it does, text may sometimes be nonsensical and could be misinterpreted. It’s important to track this capability as it develops, as image generative models may eventually develop novel text generation capabilities via rendering text.

Machines learn to recognize increasingly com-plex patterns in data that humans are not able to detect. All this raises thefollowing question: to what extent are machine perception and patternrecognition mechanisms relevant for “aesthetic perception,” and what are thetypically human aspects of aesthetic sensibility that still need to be tackledby ar... See more

While we are highly uncertain which commercial and non-commercial use cases might get traction and be safely supportable in the longer-term, plausible use cases of powerful image generation and modification technologies like DALL·E 2 include education (e.g. illustrating and explaining concepts in pedagogical contexts), art/creativity (e.g. as a bra... See more