Generative Inbreeding and the threat AI poses to Human Culture
<p><strong>Inbreeding </strong>refers to genomic corruption when members of a population reproduce with other members who are too genetically similar. This often leads to offspring with significant health problems and other deformities by amplifying the expression of recessive genes. When inbreeding is widespread, as it can be in modern livestock production, the entire gene pool can be degraded over time, amplifying deformities as the population gets less and less diverse. This problem also occurs in nature, often when species live in small, isolated groups. In fact, many researchers believe inbreeding from isolation <a href="https://www.newscientist.com/article/mg22029453-500-inbreeding-shaped-the-course-of-human-evolution/" rel="noopener ugc nofollow" target="_blank">contributed to the extinction of Neanderthals</a>.</p>
<p>In the world of <a href="https://venturebeat.com/ai/why-generative-ai-is-more-dangerous-than-you-think/" rel="noopener ugc nofollow" target="_blank"><strong>generative AI</strong></a>, a similar problem exists, potentially threatening the long-term effectiveness of AI systems and the diversity of human culture. From an evolutionary perspective, the first generation Large Language Models (LLMs) and other generative AI systems were trained on a relatively clean “gene pool” of human artifacts, using massive quantities of textual, visual, and audio content to represent the essence of our cultural sensibilities. But as the internet gets flooded with AI generated artifacts, there is a significant risk that new AI systems will train on datasets that include large quantities of AI-created content. This content is not direct human culture, but <a href="https://venturebeat.com/ai/we-are-the-artist-generative-ai-and-the-future-of-art/" rel="noopener ugc nofollow" target="_blank"><strong>emulated human culture</strong></a> with varying levels of distortion, thereby corrupting the “gene pool” through inbreeding. And as generative AI increase in use, this problem will only accelerate. After all, newer AI systems that are trained on copies of human culture will fill the world with increasingly distorted artifacts, causing the next generation of AI systems to train on copies of copies of human culture, and so on.</p>
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