🧬 AI as a Process of Speciation
Ben Letchford proposes viewing the development of AI not merely as technological progress, but as a process of speciation. In this concept, human data acts as the genome, while architectural changes and optimization serve as mutations. A key risk becomes "model collapse," which the author interprets as a biological inevitability in the absence of an influx of new human data.
🌍 This concept reimagines the technical problem of model degradation when training on synthetic data as a fundamental biological process. This highlights the necessity of maintaining a constant "human gene flow" to preserve the diversity of future generations of AI.
👤 Understanding that AI could become an independent "line" of data, separate from humanity, helps to realize the risks of the synthetic content era and the potential legal uncertainty regarding data diversity assurance.
Source 1: https://benletchford.com/writing/darwin-among-the-weights/