内容来源：https://www.theverge.com/entertainment/839494/ai-literacy-tiktok

内容总结：

今年六月，杰里米·卡拉斯科才在TikTok和Instagram上发布了首批视频。短短数月，他在每个平台都吸引了超过30万粉丝。虽然这与头部网红相比仍有差距，但已使他成为社交媒体上人工智能素养普及领域的重要人物。

杰里米最初希望分享如何将AI用于视频制作的伦理实践，但很快发现，连“如何识别AI视频”这类基础问题都缺乏讨论。他由此找准定位，专注揭露AI生成视频的常见破绽：模糊的皮肤纹理、晃动的眼睛、背景中突兀消失的物体，以及文件上毫无意义的文字等。

随着Sora 2等免费工具降低制作门槛，AI生成内容正以前所未有的规模涌入社交平台。杰里米指出，一段7秒的AI搞笑猫片或许价值有限，但若被剪辑成合集并获得数百万播放，创作者可能通过平台创作者基金赚取上千美元——这对发展中国家用户而言是一笔可观的收入。

然而，乱象随之滋生。部分账号利用AI生成虚假内容牟利：例如伪装成“中医杨医生”的账号，用刻板形象向西方受众兜售健康建议，并引导用户购买可能完全由AI生成的电子书；更有甚者直接盗用真人创作者形象，通过AI换脸后发布在付费平台，实施侵权与诈骗。

杰里米认为，当前生成式AI在创作领域的伦理应用空间极其有限。尽管有公司尝试用自有版权数据训练伦理模型，但数据量远不足以支撑实用工具开发。他尖锐指出：“现有AI视频生成工具本质上建立在窃取海量数据的基础上，这种模式存在根本缺陷，我们应当抵制。”

更令人担忧的是，社交平台自身正在加速创作者经济的崩塌。Instagram、TikTok等平台不仅放任低质AI内容泛滥，对AI内容标注规则的执行也参差不齐。与此同时，这些平台纷纷开发自家AI工具，直接向广告主提供生成服务。杰里米警告，当AI视频接管广告业时，“整个创作者经济将被摧毁”。

面对是否应拥抱AI浪潮的抉择，杰里米坦言：“从商业角度理性看待，这对创作者或许并非真正的机遇。”在注意力经济时代，人类创作者与无穷尽的AI生成内容之间的竞争，已悄然拉开残酷的序幕。

中文翻译：

杰里米·卡拉斯科今年六月才在TikTok和Instagram上发布了他的首批视频。短短数月间，他在每个平台都积累了超过30万粉丝。虽然这还远不及查莉·达梅利奥的粉丝规模，但已足以让他成为社交媒体上人工智能知识普及领域最具影响力的人物之一。

在充斥着粗制滥造内容的网络世界里，杰里米·卡拉斯科正利用他的平台传播人工智能知识。

杰里米向The Verge透露，他一直想尝试成为YouTuber，却阴差阳错地走到了镜头后，在多机位直播节目中担任制片人和导演。直到发现生成式AI的讨论几乎被科技公司垄断，他才决定投身内容创作。"我们需要更多从创作者、制片人视角出发的声音。"尽管他仍运营着YouTube频道，但真正找到受众的地方是TikTok和Instagram。

起初他只是想分享AI使用技巧。"我把主页命名为'showtoolsai'，因为当时我对AI及其在视频制作中的伦理应用相当乐观。"然而这种理想主义很快就被现实冲淡。

他很快意识到，甚至没人讨论如何识别AI视频这样的基础问题。"市场存在需求……而我恰好具备所需知识。"但他也明白，现有的AI网红不会开启这类对话，"必须要有真正理解创作者生态的人站出来"。

他迅速找到了自己的定位：发布关于AI视频破绽的内容，比如模糊的纹理、晃动的眼睛，或背景中时隐时现的物体。虽然杰里米主要关注AI知识普及和识别Sora生成的劣质内容，但他也开始深入探讨AI生成视频数量激增和质量提升带来的陷阱与潜在风险，特别是对创作者的冲击。

AI内容预警信号

• 柔化的皮肤质感与"梦幻"氛围
• "Sora噪点"或流动舞动的纹理
• 前后矛盾的背景细节
• 标识文件上的乱码文字
• 飘忽不定的眼神
• 完美到诡异程度的牙齿
• 急促的说话节奏
• 过于完美显得不真实

归根结底，创作者经济本质是注意力经济。如今人们不得不与源源不断的AI生成内容竞争。杰里米希望人们明白"这并不难"：免费开放的Sora 2大幅降低了视频制作门槛，它能生成音频，初看之下甚至足以乱真。

这些行为的动机未必都充满恶意。有时只是为了获取流量和TikTok创作者基金奖励。一段7秒的猫咪搞笑AI视频本身价值有限，但据杰里米计算，如果将其剪辑成1分钟的合集并获得500万播放量，账号持有者就能获得约1000美元收益。这对发展中国家民众而言已是可观收入。

当然也存在更恶劣的行径。杰里米指出，像"AI中医杨医师"（不同平台名称略有差异）这类账号就是赤裸裸的骗局。视频中刻板的东方医者形象向西方受众兜售养生建议，仅靠Instagram平台150万订阅者的观看量就能获利，而真正的骗局在于引导观众前往网站购买11美元的电子书——如果这本书确实存在（至少有一位用户向杰里米反映无法获取），它很可能和视频一样完全由AI生成。

像麦迪·奎因这样的案例则更为极端：不仅骗取钱财，还公然窃取他人内容并盗用形象。这类账号通常盗用女性创作者视频，用AI生成的虚拟形象替换真人，或将面部替换为AI生成的脸孔。在某些案例中，创者的完整形象被窃取后经AI改造，最终出现在OnlyFans等平台。

当被问及是否认为生成式AI在创作领域存在合乎伦理的使用方式时，杰里米表示："总体而言没有。"但他补充道："考虑到无障碍需求和文化因素，我不能完全否定这种可能性。"

部分企业如狮门影业曾尝试建立伦理视频生成模型，仅使用自家片库进行训练，但数据量远不足以产出可用内容。"按照现行模式，"杰里米指出，"要打造生成式AI视频工具，唯一途径就是窃取海量用户数据……我认为这种基础逻辑存在缺陷，我们应该抵制。"

令人担忧的是，各大平台正在加速摧毁曾经助推其崛起的创作者经济。Instagram、Facebook、TikTok和YouTube放任AI劣质内容泛滥，甚至未能持续执行AI内容标注规则。这既让优质创作者难以脱颖而出，也降低了平台对用户的吸引力。

更糟糕的是，这些平台都在开发自家的生成式AI工具。"创作者本质上就像运营广告公司，"杰里米分析道。虽然品牌合作是创作者主要收入来源，但AI已快速渗透广告领域（尽管质量堪忧）。随着AI视频接管广告业，"这将彻底摧毁整个创作者经济"。

Meta、亚马逊和DirecTV都已试水生成式AI广告服务。杰里米预测，这些平台终将"直接向客户销售广告服务"。部分创作者或许会试图搭上AI快车牟利，但杰里米提醒："质疑这是否真是个好商机非常合理，而我认为答案是否定的。"

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英文来源：

It was only in June that Jeremy Carrasco uploaded his first videos to TikTok and Instagram. In that short time, he’s amassed over 300,000 followers on each platform. No, it’s not exactly Charli D’Amelio numbers, but that does make him one of the biggest names in AI literacy on social media.
AI ‘creators’ might just crash the influencer economy
On the slop-filled internet, Jeremy Carrasco uses his platforms to spread AI literacy.
AI ‘creators’ might just crash the influencer economy
On the slop-filled internet, Jeremy Carrasco uses his platforms to spread AI literacy.
Jeremy told The Verge that he always wanted to try his hand at being a YouTuber. Instead, he found himself behind the camera, working as a producer and director on multicamera livestreams. But he finally decided to take the plunge after realizing that most of the dialogue around generative AI was being driven by the tech companies. “We need other people who are coming at it from more like a creator, like a producer perspective,” he said. While he maintains a YouTube page, it’s on TikTok and Instagram that he’s found his audience.
Originally, the idea was to talk about how to use AI. “I called my page showtoolsai because I was actually quite optimistic about AI and being able to use it ethically for video production.” That idealism turned out to be short-lived, however.
One of the things he quickly realized was that no one was really talking about the basics of even how to identify an AI video. “There’s a need for this … and I had all the requisite knowledge to do it,” he said. But he also knew that this wasn’t the sort of conversation that was going to be started by the current crop of AI influencers, “there needs to be someone who comes from more like this Creator space who gets it.”
He found his niche quickly, posting about the tells of AI videos like fuzzy textures, wobbly eyes, or items popping in and out of existence in the background. While Jeremy’s primary focus remains on AI literacy and identifying Sora-generated slop, he’s also started digging into the pitfalls and potential dangers posed by the growing number and improving quality of AI-generated videos, especially for creators.
AI red flags

• Soft skin textures and “dreamy” vibes
• “Sora Noise” or textures that move and dance
• Inconsistent background details
• Gibberish instead of real words on signs or documents
• Wobbly eyes
• Creepily perfect teeth
• Rushed speech patterns
• It’s too good to be true
  Ultimately, the creator economy is one of attention. And now people are competing with an endless stream of AI-generated content. Jeremy wants people to understand that “this isn’t hard.” Sora 2 is free and has removed many of the barriers to people churning out clips, it can generate audio, and, at first glance, it can be pretty convincing.
  The goal here doesn’t even have to be all that nefarious. Sometimes it’s just about generating views and tapping into the TikTok Creator Fund. A seven-second AI clip of a cat doing something absurd isn’t worth much on its own. But stitched together into a minute-long compilation, if that managed to get five million views, it could net the account holder around $1,000, according to Jeremy. While that might not sound like much, to those in a developing country, it can be a significant source of income.
  There are, of course, worse actors out there. Some, like the AI Chinese medicine account, Yang Mun (or Yang Mugs, depending on the site), Jeremy says, are pretty straightforward scams. In it, a vaguely offensive caricature of an Eastern-style healer espouses health and wellness advice that seems largely targeted at Western audiences. With over 1.5 million subscribers, there is money to be made purely from views on Instagram. But the real scam comes from driving those viewers to a website to buy an $11 ebook. If the ebook exists (at least one person has reached out to Jeremy saying they were unable to access said book), it’s almost certainly entirely generated by AI, just like the videos.
  Others, like Maddie Quinn, aren’t just trying to con people out of their money, they’re actively stealing other people’s content and hijacking their likeness. Accounts like these take videos, usually from female creators, and then replace the real person with AI-generated avatars or replace the face with an AI one. In some instances, creators are having their entire likenesses stolen, fed through an AI generator, and then ending up on OnlyFans.
  At this point, when asked if he believes there is an ethical use for generative AI in the creator space, Jeremy says, “generally no.” But, “there are carve-outs [for accessibility] and cultural considerations that keep me from just saying flat out no,” he says.
  Some, like Lionsgate, have attempted to create ethical video generation models by training it entirely on their own library. But it simply wasn’t enough data to produce anything usable. “The only way that you can make AI video as a generative tool the way that they’re currently doing it,” Jeremy says, is to “steal a bunch of people’s data … I think that’s foundationally flawed and we should reject that.”
  Unfortunately, the platforms are only hastening the collapse of the creator economy that has fueled their rise. Instagram, Facebook, TikTok, and YouTube have largely allowed themselves to be flooded with AI slop, and aren’t even consistently enforcing their own rules around labeling AI content. This makes it harder for creators to cut through the noise, and also makes the platforms less inviting to users.
  To make matters worse, they’re all building their own generative AI tools. “Creators are basically just like running ad agencies,” Jeremy says. Sponsorship deals are a primary way that creators make money, but AI has quickly found a home churning out ads (of extremely questionable quality). And as AI video takes over advertising, it’s “going to screw over the entire creator economy.”
  Meta, Amazon, and DirecTV have all dabbled with generative AI ad services. Eventually, Jeremy says, they’re “going to sell advertising services directly to clients.” Some creators might even be tempted to try and jump on the AI bandwagon to cash in. And, Jeremy says, “it’s very rational to question if this is actually a good business opportunity for any creators, but I don’t think it is.”
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