Training data attribution is plausibly scalable to frontier LLMs using compressed-gradient influence functions, but public access will likely remain limited because AI labs have strong incentives to keep training data private.
Such data cannot be shared publicly for legal and ethical reasons
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Training Data Attribution (TDA): Examining Its Adoption & Use Cases
Training data attribution is plausibly scalable to frontier LLMs using compressed-gradient influence functions, but public access will likely remain limited because AI labs have strong incentives to keep training data private.