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"content": "<p>"OpenAI tried to recover the data — and was mostly successful. However, because the folder structure and file names were “irretrievably” lost, the recovered data “cannot be used to determine where the news plaintiffs’ copied articles were used to build [OpenAI’s] models,” per the letter.</p><p>“News plaintiffs have been forced to recreate their work from scratch using significant person-hours and computer processing time,” counsel for The Times and Daily News wrote. “The news plaintiffs learned only yesterday that the recovered data is unusable and that an entire week’s worth of its experts’ and lawyers’ work must be re-done, which is why this supplemental letter is being filed today.”</p><p>The plaintiffs’ counsel makes clear that they have no reason to believe the deletion was intentional. But they do say the incident underscores that OpenAI “is in the best position to search its own datasets” for potentially infringing content using its own tools."</p><p><a href=\"https://techcrunch.com/2024/11/22/openai-accidentally-deleted-potential-evidence-in-ny-times-copyright-lawsuit/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">techcrunch.com/2024/11/22/open</span><span class=\"invisible\">ai-accidentally-deleted-potential-evidence-in-ny-times-copyright-lawsuit/</span></a></p><p><a href=\"https://tldr.nettime.org/tags/AI\" class=\"mention hashtag\" rel=\"tag\">#<span>AI</span></a> <a href=\"https://tldr.nettime.org/tags/GenerativeAI\" class=\"mention hashtag\" rel=\"tag\">#<span>GenerativeAI</span></a> <a href=\"https://tldr.nettime.org/tags/OpenAI\" class=\"mention hashtag\" rel=\"tag\">#<span>OpenAI</span></a> <a href=\"https://tldr.nettime.org/tags/LLMs\" class=\"mention hashtag\" rel=\"tag\">#<span>LLMs</span></a> <a href=\"https://tldr.nettime.org/tags/AITraining\" class=\"mention hashtag\" rel=\"tag\">#<span>AITraining</span></a> <a href=\"https://tldr.nettime.org/tags/NYT\" class=\"mention hashtag\" rel=\"tag\">#<span>NYT</span></a> Copyright <a href=\"https://tldr.nettime.org/tags/IP\" class=\"mention hashtag\" rel=\"tag\">#<span>IP</span></a></p>",
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"pt": "<p>"OpenAI tried to recover the data — and was mostly successful. However, because the folder structure and file names were “irretrievably” lost, the recovered data “cannot be used to determine where the news plaintiffs’ copied articles were used to build [OpenAI’s] models,” per the letter.</p><p>“News plaintiffs have been forced to recreate their work from scratch using significant person-hours and computer processing time,” counsel for The Times and Daily News wrote. “The news plaintiffs learned only yesterday that the recovered data is unusable and that an entire week’s worth of its experts’ and lawyers’ work must be re-done, which is why this supplemental letter is being filed today.”</p><p>The plaintiffs’ counsel makes clear that they have no reason to believe the deletion was intentional. But they do say the incident underscores that OpenAI “is in the best position to search its own datasets” for potentially infringing content using its own tools."</p><p><a href=\"https://techcrunch.com/2024/11/22/openai-accidentally-deleted-potential-evidence-in-ny-times-copyright-lawsuit/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">techcrunch.com/2024/11/22/open</span><span class=\"invisible\">ai-accidentally-deleted-potential-evidence-in-ny-times-copyright-lawsuit/</span></a></p><p><a href=\"https://tldr.nettime.org/tags/AI\" class=\"mention hashtag\" rel=\"tag\">#<span>AI</span></a> <a href=\"https://tldr.nettime.org/tags/GenerativeAI\" class=\"mention hashtag\" rel=\"tag\">#<span>GenerativeAI</span></a> <a href=\"https://tldr.nettime.org/tags/OpenAI\" class=\"mention hashtag\" rel=\"tag\">#<span>OpenAI</span></a> <a href=\"https://tldr.nettime.org/tags/LLMs\" class=\"mention hashtag\" rel=\"tag\">#<span>LLMs</span></a> <a href=\"https://tldr.nettime.org/tags/AITraining\" class=\"mention hashtag\" rel=\"tag\">#<span>AITraining</span></a> <a href=\"https://tldr.nettime.org/tags/NYT\" class=\"mention hashtag\" rel=\"tag\">#<span>NYT</span></a> Copyright <a href=\"https://tldr.nettime.org/tags/IP\" class=\"mention hashtag\" rel=\"tag\">#<span>IP</span></a></p>"
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