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The darkish secret behind these cute AI-generated animal photos

It’s no secret that enormous fashions, akin to DALL-E 2 and Imagen, educated on huge numbers of paperwork and pictures taken from the online, soak up the worst features of that knowledge in addition to the very best. OpenAI and Google explicitly acknowledge this.   

Scroll down the Imagen website—previous the dragon fruit carrying a karate belt and the small cactus carrying a hat and sun shades—to the part on societal influence and also you get this: “Whereas a subset of our coaching knowledge was filtered to eliminated noise and undesirable content material, akin to pornographic imagery and poisonous language, we additionally utilized [the] LAION-400M dataset which is understood to comprise a variety of inappropriate content material together with pornographic imagery, racist slurs, and dangerous social stereotypes. Imagen depends on textual content encoders educated on uncurated web-scale knowledge, and thus inherits the social biases and limitations of enormous language fashions. As such, there’s a threat that Imagen has encoded dangerous stereotypes and representations, which guides our choice to not launch Imagen for public use with out additional safeguards in place.”

It is the identical type of acknowledgement that OpenAI made when it revealed GPT-3 in 2019: “internet-trained fashions have internet-scale biases.” And, as Mike Cook dinner, who researches AI creativity at Queen Mary College of London, has identified, it’s within the ethics statements that accompanied Google’s giant language mannequin PaLM and OpenAI’s DALL-E 2. In brief, these corporations know that their fashions are able to producing terrible content material they usually do not know tips on how to repair that. 


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