The case against AI art
- Ted Chiang critiques the capabilities of generative AI, stating that its potential remains largely theoretical.
- He defines art as a product of numerous choices made by creators, emphasizing the importance of communication with the audience.
- Chiang concludes that generative AI will never achieve true art, as it cannot replicate the depth of human creativity.
Ted Chiang, a renowned science fiction author, argues against the notion that generative AI can create true art. In his latest article, he critiques the limitations of large language models, stating that their potential remains largely theoretical. He emphasizes that generative AI has primarily succeeded in lowering expectations for both written content and the writing process itself. Chiang believes this technology is fundamentally dehumanizing, as it reduces individuals to mere consumers of meaning rather than creators. Chiang attempts to define art, suggesting it arises from a multitude of choices made by the creator. He acknowledges that while these choices may not always lead to high-quality works, they represent a vital act of communication between the artist and their audience. This interaction is essential for infusing meaning into the world. He further argues that our experiences and interactions shape our creative outputs, making them unique and meaningful. In contrast, he posits that an auto-complete algorithm lacks the capacity for such engagement and understanding. Ultimately, Chiang concludes that no matter how advanced generative AI becomes, it will never replicate the depth of human creativity and the significance of personal expression. He urges readers to recognize the limitations of AI in the realm of art and to appreciate the intrinsic value of human creativity.