Global publishers are increasingly challenging artificial intelligence developers using copyrighted material without permission for large language model training under fair-use arguments

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On October 23, 2026, Beijing-based Moonshot AI released Kimi K3.1 Pro, the first model in its K3.1 series, featuring a 1-million-token context window

Publishers and digital advertisers argued that Meta Platforms' proposed commercial terms would grant the company an unlimited right to exploit site content and archives for artificial intelligence training

Kimi K3.1 Pro is a 2.8-trillion total parameter Mixture-of-Experts model that activates 104 billion parameters across 16 of 896 experts using a Stable LatentMoE framework

Moonshot AI released Kimi K3.1 Pro Highspeed alongside Kimi K3.1 Pro, which runs two to three times faster according to official company statements

Digital advertisers and publishing groups in the European Union and the United Kingdom filed complaints urging antitrust regulators to suspend Meta Platforms' new Commercial Terms and Self-Serve Ad Terms pending investigation

Kimi K3.1 Pro builds on the base K3 architecture utilizing Kimi Delta Attention and Attention Residuals, trained with joint reinforcement learning across hundreds of downstream domains

The European Commission welcomed Meta Platforms' decision to delay its updated Commercial Terms and Self-Serve Ad Terms while issuing requests for information to companies lacking published summaries on AI training data

Meta Platforms postponed the effective date of its updated Commercial Terms and Self-Serve Ad Terms from October 30, 2026, to November 20, 2026

European Publishers Council Executive Director Angela Mills Wade stated that maintaining a business page or advertising should not confer general AI training rights over a publisher's website

Meta Platforms spokesperson Daniel Roberts stated the enforcement delay of its Commercial Terms and Self-Serve Ad Terms provides time to explain changes regarding platform content usage to partners and stakeholders

Meta Platforms stated it will clarify how its web crawlers operate and affirm that content owners can use robots.txt files to set crawling preferences

Legal experts argued that Meta Platforms' removal of explicit training language from its updated business terms failed to rule out potential content scraping for artificial intelligence services

Meta Platforms rejected claims from publishers that its updated Commercial Terms and Self-Serve Ad Terms authorize unauthorized content scraping for artificial intelligence models

The News/Media Alliance sent a letter to Meta Platforms Chief Executive Officer Mark Zuckerberg on October 22, 2026, demanding revisions to its proposed business terms, the Commercial Terms and Self-Serve Ad Terms, to prevent severe publisher harm

Fast Company first reported that Meta Platforms faced publisher pushback over commercial terms that appeared to allow unpermitted web scraping of host platforms

Chinese AI company MiniMax released MiniMax M3.1 Flash on October 19, 2026, featuring 428 billion total parameters, about 23 billion active parameters in a mixture-of-experts architecture, and a 1,000,000-token context window.

MiniMax reported that MiniMax M3.1 Flash operates about three times faster than MiniMax M3, with median output speeds consistently exceeding 170 tokens per second.

MiniMax M3.1 Flash API pricing is set at $0.15 per million input tokens and $0.60 per million output tokens, with cached input reads priced at $0.015 per million tokens.

MiniMax confirmed that an earlier build of MiniMax M3.1 Flash operated anonymously under the name Space Bunny, processing over 200 trillion tokens prior to its official launch.

MiniMax reported that MiniMax M3.1 Flash can reach peak generation speeds exceeding 200 tokens per second.