人工智能生成的“扯淡”：编织领域的案例
文章揭露了人工智能生成内容的一种新趋势，即批量生产低质量的内容以获取流量。
Inception Point AI公司利用AI生成3000集播客节目每周，话题涵盖园艺、编织等，几乎没有任何人工审核。
作者通过体验AI生成的编织播客，发现其内容空洞、缺乏实质信息，甚至捏造了编织专家进行虚假引用，反映了人工智能在内容创作中的滥用以及对创意劳动和真实社区的践踏。
这种现象体现了当前信息时代普遍存在的“扯淡”问题，即内容与真实情况脱节，注重形式而非实质。
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My theme today is Knitting Bullshit and before I begin, I had better explain to you what I understand bullshit to be. In what follows, “bullshit” is used very much in the sense that Princeton philosopher Harry Frankfurt describes in his seminal essay, On Bullshit (1986; 2005). For Frankfurt, bullshit is an utterance with “a lack of connection to concern with truth” and an “indifference to how things really are.” From the off, Frankfurt tells us, it is important to understand that bullshit is, in its peculiarly execrable nature, materially different to a lie. While a liar displays an underlying respect for the truth in the very act of intentionally distorting it, “the essence of bullshit”, Frankfurt writes “is not that it is false but that it is phony.” For Frankfurt, then, bullshit, is discourse from which incidental matters like truth and reality have been completely hollowed out and replaced by performance and simulation. Unfortunately, as none of us can fail to be aware, we live in an age of bullshit; a moment when the bullshitter-in-chief sits in the White House daily purveying what Frankfurt, before his death in 2023, memorably referred to as “farcically unalloyed bullshit”. You’ll no doubt be pleased to hear, though, that the bullshit I am going to talk about today is of a very specific rather than a general kind: yes, what concerns me here is knitting bullshit.
I have been thinking about knitting bullshit now for quite some time, but I was alerted to a particular type of it while listening to Jamie Bartlett’s excellent series Everything is Fake and Nobody Cares (available wherever you get your podcasts). The first episode includes an interview with Anne McHealy, head of product at Inception Point AI, a podcasting company founded by Jeanine Wright, formerly COO at Wondery. Until its dissolution (by Amazon in 2025 at the cost of 110 jobs), Wondery was known for producing high quality, human-authored, narrative content. Inception Point AI, on the other hand, is a slop factory employing just 8 people which, according to Anne, publishes “about 3000 podcast episodes per week, hosted by AI personalities.” Anne tells Jamie, that, to date, Inception Point AI’s podcasts have accumulated “12 million lifetime downloads. And we’re averaging about 750,000 downloads a month.” Stunned by these extraordinary figures, Jamie asks Anne about the editorial oversight of the content which she produces. Does she, or any of her colleagues, actually listen to any of these 3000 weekly episodes? With only 8 employees, who on earth has time to check the accuracy or quality of these podcasts? The answer, is, of course, that no one checks or edits the podcast content– but, Anne tells Jamie blithely, this really doesn’t matter because the topics under discussion are so low stakes:
“most of our content sits squarely in topics that aren’t life or death necessarily. So gardening, for example, knitting, cooking, these things we can afford to be wrong. And it’s not necessarily the end of the world.”
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