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Comment by usef-

4 days ago

It's only for this model, not the one you're already using. And they're not training on the data. It's supposedly to detect abuse etc (such as someone retrying repeatedly with different variations to get around their protections)

> they're not training on the data

How would you know that? You can only know what they say they will do with the data.

  • Sure, some trust is required that they aren't breaking their own terms of service (which legally enforces that they won't train on your data), but the same is true of every company/service you deal with (AWS, Google, your CRM etc). Their entire business model depends on enterprises trusting them.

  • Civilization is built on trust, otherwise you’ll need to rebuild all of it yourself. This isn’t very different.

    • We’ve repeatedly watched that trust abused and exploited in these last few years, in both public and private sectors (including specifically in this field). I broadly agree with you, but I tend to think it’s a finite resource that’s eroding rapidly just now.

  • If that is the question. Those customers anyway won't be using any LLM or cloud services in first place. If you are a jornalist investigating nations, stay away from everything.

  • If you don't trust them, then no policy is enough. Technically everything you send to the model could be stored by them. Personally I do worry about that especially as an average consumer not an enterprise, no one is looking out for us and we don't get any guarantees. But enterprises will get the right treatment because they would find out and sue Anthropic if they lied.

    • >If you don't trust them, then no policy is enough.

      No policy is enough, period. There should be technical and legal solutions to it.

      1 reply →

  • I mean, if we're assuming they're just willing to lie and violate their own TOS then how could you ever be comfortable with them regardless of this 30 day period (or really any online service)? This seems like a bit of a silly take.

Why would not they train on the data if the goal is to prepare a better supervisor mechanism I guess?