needs to be opt-in, not opt-out (if even)
selling location data anonymous makes it trivial to identify
POLICY
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Location Data Privacy: Opt-In Requirements and Re-identification Risks
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Publishers Control Content While Opting Out of AI Training
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Publisher Control Publishers can manage how their content appears, even if they opt out of AI training. This means your business can trust the high-quality content while publishers maintain control. It’s a win-win for everyone.
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X Auto-Opts Users Into Grok Data Sharing Without Consent
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X is automatically opting users in to sharing data w/ the Grok chatbot for training and fine-tuning. Historically this is the kind of thing that pisses people off, particularly if they're not aware of it in advance. You can turn it off here: https://
x.com/settings/grok_
settings
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China’s Rise in AI and Open-Source Model Dilemma
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China rising in AI — and the open-source dilemma. @megatobin1 + @CadeMetz nytimes.com/2024/07/25/techn…
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LAION Training Lawsuit Scope Analysis Court Ruling
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LAION is also training, but that's not part of the lawsuit so the court may (or may not) have to limit their analysis to that part. The judges indicated they would limit the scope for the analysis of uses, but relevant downstream factors should be taken into account per caselaw!
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LAION Lawsuit: Plaintiff’s Claim Coverage Limitations Identified
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The problem we discussed above, is that the plaintiff filed a claim that does not and cannot cover the whole of LAION's activities. That was a mistake.
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Data Laundering: How Non-Profits Exploit Legal Loopholes Systematically
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Data laundering is a tricky one because legislators are inclined to look at each event alone… then fail to see the big picture of non-profits doing otherwise illegal activities. It's the fallacy of composition: look all these small events are legal, so the whole thing must be?
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LAION Image Embeddings: Legal Implications of Lossy Reproduction
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LAION computes embeddings, they are compressed forms of the images, could be easily argued to be another lossy Reproduction. (If Robert's lawyers had done their job well, this would have come up.)
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Embeddings as Derivatives: TDM Exception Legal Analysis
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I think this is a technical mistake: an embedding, as used in the comparison, is a compression of the original input through a neural model that can be reconstructed. It's a derivative! TDM exceptions do now allow creating derivatives either, let alone disseminating them.
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Text Mining vs Generative AI: Research Tool Distinction
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That definition makes it clear TDM is intended as research tool, intended to produce only statistics, not extract expressions into a neural database. There is a qualitative difference in ML being used for mere analysis and research, and ML being used for generative applications!