Cao! · 槽点

西雅图时报和Newsday告OpenAI
报纸最后一战是跟AI抢版权费

Seattle Times and Newsday Sue OpenAI
Newspapers' Last Stand Is Fighting AI for Royalties

西雅图时报和Newsday联手起诉OpenAI+微软,指控爬取新闻内容训练大模型,还加上商标稀释新罪名。传统媒体打不过流量时代,终于找到了能当原告的对手。

The Seattle Times and Newsday team up to sue OpenAI + Microsoft, alleging scraped news content for training, plus a new trademark dilution charge. Traditional media couldn't beat the traffic era, finally found an opponent they can sue.

No.048 2026.09.08 约 4 分钟阅读 ~4 min read

传统媒体的「终极武器」:律师函

又又又一起AI版权诉讼。这次是西雅图时报和Newsday联手,把OpenAI和微软一起告上了纽约南区联邦法院。罪名很经典:未经许可爬取我们的新闻内容,包括付费墙后面的东西,用来训练你们的大模型,赔钱。

说真的,这剧情我都快能背下来了。纽约时报告过、多家媒体告过、作家告过、艺术家告过……总结一下就是:凡是靠写字画画吃饭的,基本都把OpenAI的被告名单当通讯录了。

这次的新花样是加上了商标稀释的指控——说AI生成的内容被冠以他们的名号,把牌子搞臭了。嗯,这个角度新颖,属于「你抄了我的内容还败坏我的名声」双重暴击。逻辑上呢……你别说,还真有点道理。

金句预警:传统媒体打不过流量时代,打不过社交媒体,现在终于找到了一个能让自己当原告的对手——AI。

一个尴尬的问题:报纸值多少钱?

每次看这种诉讼我都忍不住想一个问题:这些新闻内容,到底值多少钱?

说值钱吧,报纸行业自己都快把自己做没了,订阅收入撑不起编辑部,广告收入被谷歌Meta吃得渣都不剩。说不值钱吧,一到法庭上,每家都能算出个天文数字的损失——合着内容只有被AI「偷」的时候才突然值钱了是吧?

当然这话刻薄了点。新闻行业的价值,确实不能简单用营收来算。调查报道、监督权力、公共知情权,这些都是真金白银砸出来的社会基础设施。问题是,你早干嘛去了?谷歌索引你的内容的时候不告,Facebook转发你的文章的时候不告,现在大模型读了你的文章,你突然觉醒了?

说白了,这是一场迟到了二十年的版权保卫战。敌人一直都在,只是之前的敌人太强、钱太多、律师团太豪华,打不动。现在终于冒出来一个新靶子,而且这个靶子刚融了好多钱——怎么看都是个不错的索赔对象。

AI行业的老问题:数据原罪

站在AI这边说两句公道话也挺难的。你说训练数据没版权问题吧,连OpenAI自己都不敢拍胸脯。你说合理使用吧,合理使用的边界到底在哪,法官们都还在摸着石头过河。

但有一点是确定的:AI公司们当初爬数据的时候,大概率是抱着「先上车后补票」的心态冲的。现在车开远了,补票的人追上来了,而且个个手里都攥着律师函。

今天就槽到这里,明天继续。

Traditional Media's "Ultimate Weapon": the Legal Complaint

Yet another AI copyright lawsuit. This time, the Seattle Times and Newsday have teamed up to sue both OpenAI and Microsoft in the Southern District of New York. The charges are familiar classics: scraping our news content — including paywalled material — without permission to train your large models. Pay up.

Honestly, I can almost recite this script by now. The New York Times sued, various media outlets sued, authors sued, artists sued… to sum it up: basically everyone who makes a living by writing or drawing has OpenAI's defendant list saved as a contact group.

The new twist this time is a trademark dilution claim — alleging that AI-generated content attributed to their brands is tarnishing their reputation. Hmm, that's a fresh angle, a double whammy of "you copied our content AND you're ruining our name." Logically… you know what, it actually kind of makes sense.

Hot take: Traditional media couldn't beat the traffic era, couldn't beat social media, and now they've finally found an opponent they can sue — AI.

The Awkward Question: What Is Newspaper Content Actually Worth?

Every time I see these lawsuits, I can't help but wonder: what is all this news content actually worth?

If you say it's valuable — well, the newspaper industry has been collapsing in on itself. Subscription revenue can't sustain newsrooms, and ad revenue has been picked clean by Google and Meta. If you say it's worthless — well, the moment they get to court, every outlet can calculate astronomical damages. So content only suddenly becomes valuable when AI "steals" it?

Okay, that's a bit harsh. The value of journalism really can't be measured by revenue alone. Investigative reporting, holding power to account, the public's right to know — these are social infrastructure built with real money and real effort. The question is: where were you earlier? You didn't sue when Google indexed your content. You didn't sue when Facebook shared your articles. Now that large models have read your work, you've suddenly woken up?

Let's be real — this is a copyright battle that's twenty years late. The enemy has always been there. It's just that the previous enemies were too powerful, too rich, and had too many lawyers to fight. Now a new target has appeared, and this one just raised a ton of money — from every angle, it looks like a great candidate for a payout.

The Old Problem of the AI Industry: Original Sin of Data

It's hard to argue on AI's side with a straight face. If you claim training data has no copyright issues — even OpenAI wouldn't dare guarantee that. If you claim fair use — well, judges are still figuring out where the boundaries of fair use even lie.

But one thing is certain: when AI companies were scraping data back in the day, they were probably operating on a "board the train first, buy the ticket later" mindset. Now the train has traveled far, and the ticket collectors are catching up — each one clutching a legal complaint.

That's all for today's rant. More tomorrow.

传统媒体打不过流量时代,打不过社交媒体,现在终于找到了一个能让自己当原告的对手——AI。

—— Dawn Vision编辑部

Traditional media couldn't beat the traffic era, couldn't beat social media, and now they've finally found an opponent where they get to be the plaintiff — AI.

— The Dawn Vision Editorial Desk
温馨提示:做AI内容产品时,尽量使用有明确授权的训练数据;如果被起诉,第一时间找专业知识产权律师,别自己下场对线。
Pro tip: When building AI content products, always use training data with clear authorization. If you get sued, hire a professional IP lawyer immediately — do not go it alone.
AI版权诉讼·OpenAI被告·传统媒体转型·商标稀释·训练数据原罪·合理使用·版权规则重塑
AI copyright lawsuit · OpenAI defendant · traditional media transition · trademark dilution · training data original sin · fair use · copyright rule reshaping
Sources · 信源 Sources

本文基于 Dawn Vision 认知引擎处理的公开信息整理,素材来源:The Verge。

This article was compiled by the Dawn Vision cognitive engine from public information. Source: The Verge.