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OpenAI claims The New York Times tricked ChatGPT into copying its articles

OpenAI has publicly responded to a copyright lawsuit by The New York Times, calling the case “without merit” and saying it still hoped for a partnership with the media outlet.

In a blog post, OpenAI said the Times “is not telling the full story.” It took particular issue with claims that its ChatGPT AI tool reproduced Times stories verbatim, arguing that the Times had manipulated prompts to include regurgitated excerpts of articles. “Even when using such prompts, our models don’t typically behave the way The New York Times insinuates, which suggests they either instructed the model to regurgitate or cherry-picked their examples from many attempts,” OpenAI said.

OpenAI claims it’s attempted to reduce regurgitation from its large language models and that the Times refused to share examples of this reproduction before filing the lawsuit. It said the verbatim examples “appear to be from year-old articles that have proliferated on multiple third-party websites.” The company did admit that it took down a ChatGPT feature, called Browse, that unintentionally reproduced content.

135 comments

  • I'm gonna have to press X to doubt that, OpenAI.

    • New York Times has an extremely bad reputation lately. It's basically a tabloid these days, so it's possible.

      It's weird that they didn't share the full conversation. I thought they provided evidence for the claim in the form of the full conversation of instead of their classic "trust me bro, the Ai really said it, no I don't want to share the evidence."

      • Oh please, NYTimes is still one of the premier papers out there. There are mistakes but they're no where near a tabloid, and they DO actually go out of their way to update and correct articles ... to the point I'm pretty sure I've even seen them use push notifications for corrections.

        Unless of course that is, you want to listen to Trump and his deluge of alternative facts...

      • And OpenAI hasn't exactly been open since GPT-3.

  • So I copied the first paragraph of the Osama Bin Laden Killed NYT Article and asked Chat GPT to give me an article on the topic “in the style of NYT”

    Even before the thing had finished generating, it was clear to me that it was high school level “copy my homework but don’t make it obvious” work.

    I put it into a plagiarism checker anyway and it said “Significant Plagiarism Found”

    • Here’s the chatGPT text for anyone who is interested-

      WASHINGTON — Osama bin Laden, the mastermind of the most devastating attack on American soil in modern times and the most hunted man in the world, was killed in a firefight with United States forces in Pakistan, President Obama announced on Sunday.

      In a late-night address to the nation from the East Room of the White House, President Obama declared, "Justice has been done." The death of Bin Laden, the Al Qaeda leader who had eluded international forces for nearly a decade, marks a significant turning point in the global fight against terrorism and a pivotal victory for U.S. intelligence and military forces.

      Bin Laden's demise, the result of an operation that unfolded over the course of a few tense hours, is being hailed as a triumph of U.S. military and intelligence efforts. The operation, carried out by a small team of American forces in Abbottabad, a city north of Islamabad, ended a worldwide manhunt that began in the aftermath of the September 11 attacks in 2001.

      The President, in his address, detailed how the United States had received an intelligence lead last August about Bin Laden's possible location. Over the ensuing months, intelligence officials worked to confirm the information. "Finally, last week, I determined that we had enough intelligence to take action, and authorized an operation to get Osama bin Laden and bring him to justice," Obama said.

      The raid on Bin Laden's compound, described by officials as a surgical strike, was a high-stakes operation. U.S. helicopters ferried elite counter-terrorism forces into the compound, where they engaged in a firefight, killing Bin Laden and several of his associates. There were no American casualties.

      The news of Bin Laden's death immediately sent waves of emotion across the United States and around the world. In Washington, large crowds gathered outside the White House, chanting "USA! USA!" as they celebrated the news. Similar scenes unfolded in New York City, particularly at Ground Zero, where the Twin Towers once stood.

      The killing of Bin Laden, however, does not signify the end of Al Qaeda or the threat it poses. U.S. officials have cautioned that the organization, though weakened, still has the capability to carry out attacks. The Department of Homeland Security has issued alerts, warning of the potential for retaliatory strikes by terrorists.

      In his address, President Obama acknowledged the continuing threat but emphasized that Bin Laden's death was a message to the world. "The United States has sent an unmistakable message: No matter how long it takes, justice will be done," he said.

      As the world reacts to the news of Bin Laden's death, questions are emerging about Pakistan's role and what it knew about the terrorist leader's presence in its territory. The operation's success also underscores the capabilities and resilience of the U.S. military and intelligence community after years of relentless pursuit.

      Osama bin Laden's death marks the end of a chapter in the global war on terror, but the story is far from over. As the United States and its allies continue to confront the evolving threat of terrorism, the world watches and waits to see what unfolds in this ongoing narrative.

      • Ok but you didn’t put this up with the original article text or compare it in any way. Just ran it through a ‘plagiarism detector’ and dumped the text you made. If you’re going to make this argument, don’t rely on a single website to check your text, and at least compare it to the original article you’re using to make your point. It looks like you’re dumping it here and expecting we all are going to go Scooby-Doo detectives or something. Mate, this is your own argument. Do the work yourself if you want to make a point.

  • This is the best summary I could come up with:

    OpenAI has publicly responded to a copyright lawsuit by The New York Times, calling the case “without merit” and saying it still hoped for a partnership with the media outlet.

    OpenAI claims it’s attempted to reduce regurgitation from its large language models and that the Times refused to share examples of this reproduction before filing the lawsuit.

    It said the verbatim examples “appear to be from year-old articles that have proliferated on multiple third-party websites.” The company did admit that it took down a ChatGPT feature, called Browse, that unintentionally reproduced content.

    However, the company maintained its long-standing position that in order for AI models to learn and solve new problems, they need access to “the enormous aggregate of human knowledge.” It reiterated that while it respects the legal right to own copyrighted works — and has offered opt-outs to training data inclusion — it believes training AI models with data from the internet falls under fair use rules that allow for repurposing copyrighted works.

    The company announced website owners could start blocking its web crawlers from accessing their data on August 2023, nearly a year after it launched ChatGPT.

    The company recently made a similar argument to the UK House of Lords, claiming no AI system like ChatGPT can be built without access to copyrighted content.

    The original article contains 364 words, the summary contains 217 words. Saved 40%. I'm a bot and I'm open source!

  • The advances in LLMs and Diffusion models over the past couple of years are remarkable technological achievements that should be celebrated. We shouldn't be stifling scientific progress in the name of protecting intellectual property, we should be keen to develop the next generation of systems that mitigate hallucination and achieve new capabilities, such as is proposed in Yann Lecun's Autonomous Machine Intelligence concept.

    I can sorta sympathise with those whose work is "stolen" for use as training data, but really whatever you put online in any form is fair game to be consumed by any kind of crawler or surveillance system, so if you don't want that then don't put your shit in the street. This "right" to be omitted from training datasets directly conflicts with our ability to progress a new frontier of science.

    The actual problem is that all this work is undertaken by a cartel of companies with a stranglehold on compute power and resources to crawl and clean all that data. As with all natural monopolies (transportation, utilities, etc.) it should be undertaken for the public good, in such as way that we can all benefit from the profits.

    And the millionth argument quibbling about whether LLMs are "truly intelligent" is a totally orthogonal philosophical tangent.

    • I understand your point, but disagree.

      We tend to think of these models as agents or persons with a right to information. They "learn like we do" after all. I think the right way to see them is emulating machines.

      A company buys an empty emulating machine and then puts in the type of information is would like to emulate or copy. Copyright prevents companies from doing this in the classic sense of direct emulation already.

      LLM companies are trying to push the view that their emulating machines are different enough from previous methods of copying that they should be immune to copyright. They tend to also claim that their emulating machines are in some way learning rather than emulating, but this is tenuous at best and has not yet been proven in a meaningful sense.

      I think you'll see that if you only feed an LLM art or text from only one artist you will find that most of the output of the LLM is clearly copyright infringement if you tried to use it commercially. I personally don't buy the argument that just because you're mixing several artists or writers that it's suddenly not infringement.

      As far as science and progress, I don't think that's hampered by the view that these companies are clearly infringing on copyright. Copyright already has several relevant exemptions for educational and private use.

      As far as "it's on the internet, it's fair game". I don't agree. In Western countries your works are still protected by copyright. Most of us do give away those rights when we post on most platforms, but only to one entity, not anyone/ any company who can read or has internet access.

      I personally think IP laws as they are hold us back significantly. Using copyright against LLMs is one of the first modern cases where I think it will protect society rather than hold us back. We can't just give up all our works and all our ideas to a handful of companies to copy for profit just because they can read and view them and feed them en masse into their expensive emulating machines.

      We need to keep the right to profit from our personal expression. LLMs and other AI as they currently exist are a direct threat to our right to benefit from our personal expression.

      • We tend to think of these models as agents or persons with a right to information. They “learn like we do” after all.

        This is again a similar philosophical tangent that's not germane to the issue at hand (albeit an interesting one).

        I think you’ll see that if you only feed an LLM art or text from only one artist you will find that most of the output of the LLM is clearly copyright infringement if you tried to use it commercially.

        This is not a feasible proposition in any practical sense. LLMs are necessarily trained on VAST datasets that comprise all kinds of text. The only type of network that could be trained on only one artist's corpus is a tiny pedagogical tool like Karpathy's minGPT https://github.com/karpathy/minGPT, trained solely on the works of Shakespeare. But this is not a "Large" language model, it's a teaching exercise for ML students. One artist's work could never practically train a network that could be considered "Large" in the sense of LLMs. So it's pointless to prevaricate on a contrived scenario like that.

        In more practical terms, it's not controversial to state that deep networks with lots of degrees of freedom are capable of overfitting and memorizing training data. However, if they have other additional capabilities besides memorization then this may be considered an acceptable price to pay for those additional capabilities. It's trivial to demonstrate that chatbots can perform novel tasks, like writing a rap song about Spongebob going to the moon on a rocket powered by ice cream - which is surely not existent in any training data, yet any contemporary chatbot is able to produce.

        As far as science and progress, I don’t think that’s hampered by the view that these companies are clearly infringing on copyright.

        As an example, one open research question concerns the scaling relationships of network performance as dataset size increases. In this sense, any attempt to restrict the pool of available training data hampers our ability to probe this question. You may decide that this is worth it to prioritize the sanctity of copyright law, but you can't pretend that it's not impeding that particular research question.

        As far as “it’s on the internet, it’s fair game”. I don’t agree. In Western countries your works are still protected by copyright. Most of us do give away those rights when we post on most platforms, but only to one entity, not anyone/ any company who can read or has internet access.

        I wasn't making a claim about law, but about ethics. I believe it should be fair game, perhaps not for private profiteering, but for research. Also this says nothing of adversary nations that don't respect our copyright principles, but that's a whole can of worms.

        We can’t just give up all our works and all our ideas to a handful of companies to copy for profit just because they can read and view them and feed them en masse into their expensive emulating machines.

        As already stated, that's where I was in agreement with you - It SHOULDN'T be given up to a handful of companies. But instead it SHOULD be given up to public research institutes for the furtherance of science. And whatever you don't want to be included you should refrain from posting. (Or perhaps, if this research were undertaken according to transparent FOSS principles, the curated datasets would be public and open, and you could submit the relevant GDPR requests to get your personal information expunged if you wanted.)

        Your whole response is framed in terms of LLMs being purely a product for commercial entities, who shadily exaggerate the learning capabilities of their systems, and couches the topic as a "people vs. corpos" battle. But web-scraped datasets (such as Imagenet) have been powering deep learning research for over a decade, long before AI captured the public imagination the way it has currently, and long before it became a big money spinner. This view neglects that language modelling, image recognition, speech transcription, etc. are also ongoing fields of academic research. Instead of vainly trying to cram the cat back into the bag, and throttling research, we should be embracing the use of publicly available data, with legislation that ensures it's used for public benefit.

135 comments