观点人工智能

The imitation game: can software make artists redundant?

The AI of Dall-E-2 may render striking Monet and Hockney lookalikes but artists should not be worried

One online commentator asked for teddy bears shopping for groceries in the style of ukiyo-e, and seemed impressed. Another wasn’t so happy; they’d ordered up an image of cats drinking soup in the style of Gustav Klimt (“The Kiss” is apparently a favourite picture). An earlier request, for a Formula One race on Mars in the style of Van Gogh, had produced something that looked like a rejected image for a home-produced cover of an album by a minor stoned-out 1970s band — but had apparently met with a reasonable amount of approval. Klimt’s soup-slurping cats, however, were not hitting the spot. “It didn’t look anything like ‘The Kiss’,” wailed the instigator.Now why, I wonder, could that be? The Generative Artificial Intelligence (GAI) facility Dall-E-2, which generates images according to a written description of a few words, should surely have been able to deliver the goods. Cats, soup, Klimt — where’s the problem?

Ever since I heard about Dall-E in its first incarnation a while ago, I knew that I couldn’t avoid it altogether for long. It has, after all, pretty much stolen my name. All that’s missing is a “Y”.

Now Dall-E-2 is with us and, according to devotees, much improved. More detailed, more nuanced, more responsive. I’ll take their word for it. What is certain is that it has sent ripples, if not shockwaves, through a community of creative people: does it challenge their reason for being and our notions of what art should be?

您已阅读27%(1449字),剩余73%(3953字)包含更多重要信息,订阅以继续探索完整内容,并享受更多专属服务。
版权声明:本文版权归manbetx20客户端下载 所有,未经允许任何单位或个人不得转载,复制或以任何其他方式使用本文全部或部分,侵权必究。
设置字号×
最小
较小
默认
较大
最大
分享×