The post OpenAI sued over unprotected ChatGPT logs appeared on BitcoinEthereumNews.com. OpenAI must turn over 20 million anonymized ChatGPT conversation logs in a copyright fight with The New York Times (NYT) and others. Chat logs are a critical piece of evidence in the investigation into whether ChatGPT is reproducing copyrighted news content without authorization, according to U.S. Magistrate Judge Ona Wang. The order is rooted in a discovery request lodged under the lawsuit in which NYT and other media organizations contend that ChatGPT – and by extension OpenAI’s underlying large language models – inappropriately used their copyrighted content in training, producing outputs that replicate or summarize pay-walled reporting. The plaintiffs claim that access to user chat logs will reveal whether and how often ChatGPT re-generates full or partial passages from their copyrighted articles. Judge Wang rejected OpenAI’s privacy objections, noting that the company is required to strip out names, email addresses, phone numbers, and any other identifying details before handing over the logs. She added that, in addition to this de-identification, the court has already implemented “multiple layers of protection” to safeguard user information. OpenAI has been ordered to publish the content seven days after anonymization is complete. The company had earlier warned that complying could set a troubling precedent, noting that the overwhelming majority of the conversations have nothing to do with the lawsuit. Media houses warn logs will uncover misuse of AI The New York Times and newspapers owned by MediaNews Group contend that the logs will establish that OpenAI harvested and used their journalism without permission. They claim that ChatGPT has generated several paragraphs that closely resemble or echo their narratives nearly verbatim. Frank Pine, executive editor of MediaNews Group, slammed the AI company. He said OpenAI was hallucinating when they thought they could get away with withholding evidence about how their business model relies on stealing from hardworking… The post OpenAI sued over unprotected ChatGPT logs appeared on BitcoinEthereumNews.com. OpenAI must turn over 20 million anonymized ChatGPT conversation logs in a copyright fight with The New York Times (NYT) and others. Chat logs are a critical piece of evidence in the investigation into whether ChatGPT is reproducing copyrighted news content without authorization, according to U.S. Magistrate Judge Ona Wang. The order is rooted in a discovery request lodged under the lawsuit in which NYT and other media organizations contend that ChatGPT – and by extension OpenAI’s underlying large language models – inappropriately used their copyrighted content in training, producing outputs that replicate or summarize pay-walled reporting. The plaintiffs claim that access to user chat logs will reveal whether and how often ChatGPT re-generates full or partial passages from their copyrighted articles. Judge Wang rejected OpenAI’s privacy objections, noting that the company is required to strip out names, email addresses, phone numbers, and any other identifying details before handing over the logs. She added that, in addition to this de-identification, the court has already implemented “multiple layers of protection” to safeguard user information. OpenAI has been ordered to publish the content seven days after anonymization is complete. The company had earlier warned that complying could set a troubling precedent, noting that the overwhelming majority of the conversations have nothing to do with the lawsuit. Media houses warn logs will uncover misuse of AI The New York Times and newspapers owned by MediaNews Group contend that the logs will establish that OpenAI harvested and used their journalism without permission. They claim that ChatGPT has generated several paragraphs that closely resemble or echo their narratives nearly verbatim. Frank Pine, executive editor of MediaNews Group, slammed the AI company. He said OpenAI was hallucinating when they thought they could get away with withholding evidence about how their business model relies on stealing from hardworking…

OpenAI sued over unprotected ChatGPT logs

2025/12/04 17:14

OpenAI must turn over 20 million anonymized ChatGPT conversation logs in a copyright fight with The New York Times (NYT) and others. Chat logs are a critical piece of evidence in the investigation into whether ChatGPT is reproducing copyrighted news content without authorization, according to U.S. Magistrate Judge Ona Wang.

The order is rooted in a discovery request lodged under the lawsuit in which NYT and other media organizations contend that ChatGPT – and by extension OpenAI’s underlying large language models – inappropriately used their copyrighted content in training, producing outputs that replicate or summarize pay-walled reporting. The plaintiffs claim that access to user chat logs will reveal whether and how often ChatGPT re-generates full or partial passages from their copyrighted articles.

Judge Wang rejected OpenAI’s privacy objections, noting that the company is required to strip out names, email addresses, phone numbers, and any other identifying details before handing over the logs. She added that, in addition to this de-identification, the court has already implemented “multiple layers of protection” to safeguard user information.

OpenAI has been ordered to publish the content seven days after anonymization is complete. The company had earlier warned that complying could set a troubling precedent, noting that the overwhelming majority of the conversations have nothing to do with the lawsuit.

Media houses warn logs will uncover misuse of AI

The New York Times and newspapers owned by MediaNews Group contend that the logs will establish that OpenAI harvested and used their journalism without permission.

They claim that ChatGPT has generated several paragraphs that closely resemble or echo their narratives nearly verbatim. Frank Pine, executive editor of MediaNews Group, slammed the AI company. He said OpenAI was hallucinating when they thought they could get away with withholding evidence about how their business model relies on stealing from hardworking journalists. The outlets also denied OpenAI’s assertion that it had manipulated the AI to infringe on content. 

The logs, they also say, will serve as evidence that the chatbot could already create copyrighted content before and without any user input. The case is not about curbing AI innovation, The New York Times said, but rather about ensuring payment and fairness to journalism. OpenAI has appealed Judge Wang’s ruling to U.S. District Judge Sidney Stein, who is overseeing the case.

The company argues that user privacy should not be compromised in court, and any disclosure of these logs, even anonymized data, might erode trust in the company. Dane Stuckey, the company’s chief information security officer, had previously stated that such demands from multiple media organizations contradict common-sense security practices and disregard longstanding privacy protections.

Critics view OpenAI’s resistance as a sign of guilt

Critics argue that OpenAI’s resistance suggests it has something to hide. When AI systems rely on publicly available content, such as journalism, to learn and improve their content, transparency is necessary, they say. 

The copyright lawsuit is one among several being brought against technology heavyweights like Microsoft and Meta. Taken together, the cases raise significant questions about how organizations using AI collect, share, and monetize information, as well as to whom, to what extent, and when to ask for compensation. 

This places OpenAI on a tightrope, balancing user privacy with accusations of massive copyright theft. It also raises larger questions about how these AI user interfaces align with existing laws, intellectual property protections, and social trust.

If the logs indicate that ChatGPT was copying copyrighted news content without permission, that’d have huge implications. Not only for OpenAI — but for the future of AI training, media sustainability, and digital rights.

For now, the decision signals that courts are willing to balance AI innovation against legacy protections for intellectual property even if doing so complicates notions of privacy in the digital age.

Get up to $30,050 in trading rewards when you join Bybit today

Source: https://www.cryptopolitan.com/openai-fails-to-shield-chatgpt-logs/

Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

This Exclusive Cayman Getaway Tastes As Good As It Feels

This Exclusive Cayman Getaway Tastes As Good As It Feels

The post This Exclusive Cayman Getaway Tastes As Good As It Feels appeared on BitcoinEthereumNews.com. 1OAK’s Sand Soleil sits on Grand Cayman’s iconic Seven Mile Beach 1OAK Exhausted and professionally burnt out, I arrived at 1OAK’s Sand Soleil in search of the type of restoration that could still my mind and get me writing again. The seven-day culinary experience was a no-brainer for me as a food writer. The integration of an epicurean getaway with pure Cayman luxury seemed to be the perfect spark for my creativity—private chef dinners, deep dives into Caribbean flavors, and hands-on masterclasses, all located within a serene, oceanfront villa. I had finally arrived. With the last rays of the sun setting behind Grand Cayman’s famous Seven Mile Beach, casting a warm golden glow across the water, I tasted Chef Joe Hughes’ ceviche for the first time—cubes of wahoo cured in lime, with charred pineapple and a subtle, nutty crunch. Chef Joe Hughes’ love for bright, Asian-inspired flavours came through in this wahoo tataki layered with Vietnamese herbs, ripe papaya and mango, cashew and cilantro, all brought together with a nuoc cham. Jamie Fortune Something softened. For the first time in months, I began to feel present. Sophia List, the brainchild of the 1OAK experience, heard me well. With an intuition honed by years of curating luxury, she matched me with what she called “a vision realized.” List told me Sand Soleil—like the other 1OAK homes on Seven Mile Beach and in West Bay—was created to feel like a real sanctuary. For her, it’s the laid-back alternative to a busy hotel, a place where you get privacy and elegance without any fuss. “We wanted to introduce the Cayman Islands to something truly special—an ultra-luxury experience that combines exquisite design, maximum privacy, and a sense of calm,” she shared as she guided me through the four-bedroom villa. “We are so excited to…
Share
BitcoinEthereumNews2025/12/06 14:01
Maxi Doge Momentum Builds While BlockDAG’s Gamified Presale Nears $410M

Maxi Doge Momentum Builds While BlockDAG’s Gamified Presale Nears $410M

The post Maxi Doge Momentum Builds While BlockDAG’s Gamified Presale Nears $410M appeared on BitcoinEthereumNews.com. The Maxi Doge token has surged into the spotlight, drawing over $2.2 million as traders bet on a launch-week rally. Buzz around the Maxi Doge price is spreading across crypto forums and meme coin groups, with early buyers hoping to catch a fast move once listings open. It has become one of the most talked-about meme presales of the year, built on viral branding and social momentum. BlockDAG (BDAG) has been moving in a different way, raising nearly $410 million by rewarding participation instead of chasing quick hype. Its referral-driven payouts and competitive buying model have transformed its presale into a system where engagement produces measurable growth. With rising attention, the stage is set for a clash between short-term hype and structured long-term scale. Can Maxi Doge Turn Hype Into a Real Breakout? The Maxi Doge token has raced past $2.2 million in its presale, making it one of the most talked-about meme launches of the season. The buzz surrounding the Maxi Doge price has spread rapidly across crypto forums, Telegram groups, and social channels as early traders look to secure a low entry before listings go live. Much of this excitement comes from its unapologetically meme-heavy branding, which has helped it stand out in an oversaturated market. Supporters argue that this type of energy is exactly what fuels breakout moments. They believe if Maxi Doge can maintain engagement in its first exchange debut, the Maxi Doge price could see a sharp surge driven by hype and opening-week liquidity. Skeptics warn that meme coins often lose steam as quickly as they gain it, but for now, the Maxi Doge token has proven its ability to spark attention and rally an eager community. Why BlockDAG’s Presale Rewards Keep Traders Coming Back While meme projects chase fleeting hype, BlockDAG has built its…
Share
BitcoinEthereumNews2025/09/21 23:00
How Pros Buy Bitcoin Dips With DCA Like Institutions

How Pros Buy Bitcoin Dips With DCA Like Institutions

The post How Pros Buy Bitcoin Dips With DCA Like Institutions appeared on BitcoinEthereumNews.com. “Buy every dip.” That’s the advice from Strike CEO Jack Mallers. According to Mallers, with quantitative tightening over and rate cuts and stimulus on the horizon, the great print is coming. The US can’t afford falling asset prices, he argues, which translates into a giant wall of liquidity ready to muscle in and prop prices up. While retail has latched onto terms like “buy the dip” and “dollar-cost averaging” (DCA) for buying at market lows or making regular purchases, these are really concepts borrowed from the pros like Samar Sen, the senior vice president and head of APAC at Talos, an institutional digital asset trading platform. He says that institutional traders have used these terms for decades to manage their entry points into the market and build exposure gradually, while avoiding emotional decision-making in volatile markets. Source: Jack Mallers Related: Cryptocurrency investment: The ultimate indicators for crypto trading How institutions buy the dip Treasury companies like Strategy and BitMine have become poster children for institutions buying the dip and dollar-cost averaging (DCA) at scale, steadfastly vacuuming up coins every chance they get. Strategy stacked another 130 Bitcoin (BTC) on Monday, while the insatiable Tom Lee scooped up $150 million of Ether (ETH) on Thursday, prompting Arkham to post, “Tom Lee is DCAing ETH.” But while it may look like the smart money is glued to the screen reacting to every market downturn, the reality is quite different. Institutions don’t use the retail vocabulary, Samar explains, but the underlying ideas of disciplined accumulation, opportunistic rebalancing and staying insulated from short-term noise are very much present in how they engage with assets like Bitcoin. The core difference, he points out, is in how they execute those ideas. While retail investors are prone to react to headlines and price charts, institutional desks rely…
Share
BitcoinEthereumNews2025/12/06 13:53