How AI reduces the world to stereotypes
language matters. Describing generative models as "artificial intelligence" simultaneously creates unrealistic expectations _and_ undersells the technology's capabilities.
A couple months ago, Oxford and Cambridge researchers illustrated the risk of homogeneity in a study of AI Generated content in Nature magazine. The risk increases as AI gets trained not only on human-created content, but on other AI-generated content.
As an example, the researchers studied an AI model trained on images of different breeds of dogs.
... See moretomfishburne • AI-Generated Homogeneity
To the extent that large language models (and I should note that while I’m focusing on image generation, there are a whole host of companies working on text output as well) are dependent not on carefully curated data, but rather on the Internet itself, is the extent to which AI will be democratized, for better or worse.
Ben Thompson • The AI Unbundling
the true impact of AI on the world would be largely determined by the motivation that guided the development of the technology—a disturbing thought in an era of expanding facial recognition and targeted advertising.