Belangrijkste concepten
Large language models (LLMs) have the potential to revolutionize creative industries, but their ability to be truly creative remains an open question.
Samenvatting
This article explores the creativity of large language models (LLMs) from both theoretical and practical perspectives.
The authors first analyze LLMs through the lens of Margaret Boden's three criteria for creativity: value, novelty, and surprise. While LLMs can produce outputs that are valuable and exhibit a weak form of novelty, their autoregressive nature makes it challenging for them to achieve transformational creativity that involves significant surprise.
The authors then consider creativity from broader perspectives, including the creative process, the social and environmental factors that influence creativity (the "press"), and the role of the creative person. They argue that current LLMs lack key attributes associated with human creativity, such as intrinsic motivation, self-awareness, and the ability to adapt and learn from their environment over time.
The article also discusses the practical implications of LLMs in creative industries, including legal and ethical concerns around copyright, the potential displacement of human creative workers, and the opportunities for human-AI co-creativity. The authors suggest that while LLMs may not be truly creative in the human sense, they can still serve as powerful tools to augment and inspire human creativity.
Overall, the article provides a comprehensive analysis of the creativity of LLMs, highlighting both the promise and limitations of these technologies, and outlining a research agenda for addressing the hard problem of achieving machine creativity.
Statistieken
"LLMs have captivated the imagination of millions of people, also thanks to a series of entertaining demonstrations and open tools released to the public."
"LLMs can produce more specific and specialized content, such as poems or stories, by simply providing a description of the task and possibly some examples."
"LLMs can involve re-training through plug-and-play attribute classifiers, re-training to produce paragraphs coherent with a given outline, fine-tuning with specific corpora for writing specific text, or fine-tuning to maximize human preferences."
Citaten
"Can LLMs be really considered creative?"
"A natural question arises: can LLMs be really considered creative?"
"It is not obvious whether these "machines" are truly creative, at least in the sense originally discussed by Ada Lovelace."