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GENERATIVE AI
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Fair Use Analysis and AI Model Training Legal Arguments
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Your arguments do not make such a clear distinction. If uses before training all went through a Fair Use analysis, they *must* have been expressive. The fact downstream uses are potentially non-expressive helps the affirmative defense if defendants can provide proof.
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Copyright Verdicts on AI Training and Fair Use Analysis
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"essentially" doing a lot of heavy lifting. All the verdicts fell under Copyright law that's why they did the Fair Use analyses. Thus, it must have been expressive each time. Training often does capture expressions; verdict mentions this as "compressed copies". Keep up!
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Training Data Copyright: Legal Analysis of AI Model Development
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You speak in the future as if it didn't happen; deluding yourself? It did happen multiple times already and each time analysis was conducted under Copyright law. The uses before training were found to be expressive because all the work was used.
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Copyright Fair Use Analysis in AI Model Training
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You're confusing everything again, the reproductions before training and possible downstream uses. The downstream uses can potentially be non-expressive. If it was entirely non-expressive, it wouldn't fall under Copyright and there wouldn't have been Fair Use analysis needed.
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Autonomous AI Systems at Scale: Project44 Architecture Analysis
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The real innovation lies in designing systems that can act on data with autonomy and context—my analysis on project44 shows how intelligence at scale is no longer an ambition, but a working architecture.
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Meta Launches Superintelligence Labs with Top AI Talent
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Mark Zuckerberg officially introduced Meta Superintelligence Labs to employees The group has 11 hires from OpenAI, Google, Anthropic, Seasame and will be led by Alexandr Wang (Chief AI Officer) and Nat Friedman
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Chai-2 AI Discovers Antibodies for 26 Diseases in Breakthrough
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OpenAI-backed Chai Discovery dropped Chai-2, an AI that can design working antibodies
— Rowan Cheung (@rowancheung) 1 juillet 2025
It designed antibodies against 52 diseases and found successful treatments for half of them by testing just 20 candidates each
A big breakthrough in drug discovery!pic.twitter.com/2sov4rVHfVOpenAI-backed Chai Discovery dropped Chai-2, an AI that can design working antibodies It designed antibodies against 52 diseases and found successful treatments for half of them by testing just 20 candidates each A big breakthrough in drug discovery!
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Baidu Open-Sources 10 ERNIE 4.5 Model Versions, 424B Beats DeepSeek V3
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Baidu open-sourced 10 versions of its ERNIE 4.5 model family. Key highlights: —Models from 300M to 424B params
—424B version beats DeepSeek V3 on 22/28 benchmarks
—“Heterogeneous” training architecture for increased efficiency
—Apache 2.0 license -
Microsoft’s Medical Superintelligence Breakthrough and AI Updates
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AI NEWS: Microsoft just took a major step towards "medical superintelligence" Plus, more news from Baidu, Chai Discovery, Cursor, and Meta. Here's everything you need to know: