Discover how OpenAI's DALL-E 2, an AI capable of generating breathtaking images based on text descriptions, is revolutionizing art and addressing biases in its portrayals of people through the power of quantum computing.
OpenAI's DALL-E 2 has made waves in the world of artificial intelligence with its mind-blowing ability to generate images based on simple text descriptions. Imagine a world where Godzilla devours Tokyo or astronauts ride horses through the cosmos – DALL-E 2 can bring these fantastical visions to life! By harnessing the power of quantum computing and merging GPT-3 and CLIP models, OpenAI has trained DALL-E 2 on a staggering 650 million images with associated text captions, enabling it to generate a vast array of images in various styles.
However, DALL-E 2's awe-inspiring capabilities come with their own set of challenges, particularly in regards to the portrayal of people and the biases it has acquired from its training data. OpenAI's 'red team' of external experts discovered biases in DALL-E 2's creations that led to the generation of sexist and racist images. For example, terms like 'flight attendant' or 'assistant' generated images of women, while 'CEO' or 'builder' depicted men. Addressing these biases is a crucial task for the future of AI, as we must ensure that our technological advancements are inclusive and do not perpetuate harmful stereotypes.
In response to these concerns, OpenAI has started selling a beta version of DALL-E 2 to a waitlist of one million people, along with a software update that makes images of people twelve times more diverse. The company plans to continually tweak the model to address biases as more people use it. This marks a significant step towards harnessing the potential of quantum computing not only to revolutionize art but also to fight against biases in AI-generated content, making it a more equitable tool for the future.
