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#数据/训练

Today 1 items
TodayOct 18Sun
  1. TechCrunch · AI55

    Meta removes language that raised scraping and AI training concerns

    Meta removed wording in its commercial terms that allowed content from business-account websites to be used to develop, improve and train its products. Legal experts had previously said the clause could authorize Meta to scrape any publisher's website with a business account to train AI models. Meta responded that the consolidated scraping clause applies only to ads and commercial products, and that its use of web crawlers has not changed.

Oct 17Sat
  1. The Verge · AI57

    Meta removes language that may have allowed it to scrape news sites

    Meta updated its commercial terms, removing wording interpreted as allowing scraping of content including news sites for AI training, which Cornell digital and information law professor James Grimmelmann and others said could override robots.txt blocking directives. Meta spokesperson Daniel Roberts responded that the scraping clause applies only to ads and commercial products, the company's use of web crawlers has not changed, and content owners can still express preferences via robots.txt.

Oct 16Fri
Oct 13Tue
  1. MIT Technology Review · AI69

    AI labs are buying data from dead startups to train their models

    MIT Technology Review reports that as public and synthetic datasets peak, AI labs are buying code and workspace data from dead startups via shutdown service providers such as SimpleClosure and Sunset. SimpleClosure's Asset Hub has facilitated over 150 transactions and is expected to recover over $10 million for startups by the end of 2026; 47% of its transactions now include code or data sales.

Oct 8Thu
Oct 7Wed
Oct 1Thu
  1. The Decoder78

    Meta dodges billions in US taxes by calling its AI data centers experiments

    Meta classified its AI data centers as "experimental models" and its Nvidia chips as experimental materials, using the federal R&D tax credit to save $3.9 billion in 2025, up from $2 billion the prior year and $700 million in 2023, making it the largest beneficiary of the credit among public companies.

    Why it matters: The piece gives specific tax-savings figures over time and SEC risk disclosures, letting readers see how AI infrastructure investment is monetized through the 1981 R&D tax credit.