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Ignoring what this model architecture could do and just considering what this model does do, why would I (or anyone) want to run this model (locally) to do <ins
by HenryMulligan 1y ago
Ignoring what this model architecture could do and just considering what this model does do, why would I (or anyone) want to run this model (locally) to do <insert use-case>? Is it entirely a proof-of-concept for future training on medical data? Are they looking to use this to attempt to ethically justify training on (free-tier) user's personal data via the application of noise to the training data?
- faangguyindia 1y agoU can avoid book publisher lawsuit which Anthropic is dealing with using this approach
- floridianfisher 1y agoThe purpose is research
- porridgeraisin 1y agoIt's the last option. The whole framing of DP is: Probability that you reveal private info is same whether or not you train on a particular users data. It is useful in many cases, but google the product company specifically is going to use it for ads.
- malfist 1y agoYou can hide that you pirated content for training
- astrange 1y agoYou can't hide that. You can't use technical measures to hide from discovery. I think an entire book is a little too large to mask with this method and still end up learning anything.