Kasper Jordaens

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

GPT-3 has been trained on us—on a lot of things that we have said and written—and ends up reproducing just that, racial and gender bias included.

His point is that if intelligence as we know it resulted from the mindless mutation of genes over countless generations, why not seek to replicate the intelligence-producing process—which is arguably simpler—rather than intelligence itself?

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

In principle any image generated by DALL·E 2 could have been drawn by hand, edited from existing images using tools, or recreated with hired models and photographers; this speed (and cost) differential is a difference in degree that may add up to a difference in kind.

It is not hard to imagine that “artificial judgment” systems might be increas-ingly used in the future. These systems would autonomously evaluate cul-tural objects, scoring a design artifact, fashion item, or image with a higheror lower aesthetic value.

Targeted harassment, bullying, or exploitation of individuals is a principal area of concern for deployment of image generation models broadly and Inpainting in particular.Inpainting – especially combined with the ability to upload images – allows for a high degree of freedom in modifying images of people and their visual context. While other image... See more

The new system, called AutoML Zero, tries to build an AI from the ground up using nothing but the most basic mathematical concepts that govern machine learning.Amazingly, not only did AutoML Zero spontaneously build a neural network, but it came up with gradient descent, the most common mathematical technique that human designers use to train a net... See more