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They did release the weights and there are many providers https://openrouter.ai/deepseek/deepseek-v4-flash-0731#providers https://openrouter.ai/deepseek/deepsee

by eli 1mo ago

They did release the weights and there are many providers https://openrouter.ai/deepseek/deepseek-v4-flash-0731#providers https://openrouter.ai/deepseek/deepseek-v4-flash-0731#provid... Deepseek's official API has a pretty bad privacy policy so I would assume businesses avoid them in any event

ljlolel 1mo ago
it says they actively train on your data
- eli 1mo ago
  Yes - unusually (uniquely?) bad for an official API. Which is a real bummer because it’s otherwise solid with excellent caching.
  - embedding-shape 1mo ago
    My feelings are kind of split about it. On one hand, yes, I don't like it when a company essentially go through my history, train with it, and try to earn more profits for themselves based on what I've "unwillingly contributed". But then on the other hand, I also know that DeepSeek will release the weights they train (and publish new architecture upgrades) so me and others can download them and run them ourselves, as well as they'll earn more profits based on it. Then it's no longer so black and white for me, and I kind of feel like I'm not so bothered by it as when Anthropic and others do it. I'd still prefer it wasn't like that, but I guess it's a compromise ultimately, at least I'll be able to run it myself.
    - nhecker 1mo ago
      I've had the same thoughts, and I think you articulated them pretty well; maybe better than I could have. I.e., for me it's something like: I'm much more willing to share if I know the party I share with will share back, in turn. I know it's more complicated than that, with economics and privacy factors involved. But if I operate on the assumption that real privacy is real hard I'd rather just be guarded and careful with my prompts and whatever output I give to the LLM and expect that it will be training on that, rather than spill all my darkest secrets to some other LLM provider that pinkie-promises privacy only to leak it publicly later, anyway.
- smrtinsert 1mo ago
  we should get discounts for that!
- jubilanti 1mo ago
  Not only that, the policy is so broad you effectively give up EVERYTHING. They're within their rights to just straight up post your raw conversation history to a public dataset on github/huggingface/modelscope or even host an atproto feed giving the world real-time access to your conversations. Not saying they are or will, but their privacy policy is so permissive.
HarHarVeryFunny 1mo ago
Yes, I assume US customers are more likely hobbyists, but in any case this off-peak designation can only mean that most of their business is domestic. Interestingly it seems that Chinese customers are even more privacy-concerned than US ones, which is why the majority of Ziphu's (GLM) business is support services to Chinese companies running their open-weight models on-prem!

by eli 1mo ago

ljlolel 1mo ago

it says they actively train on your data

eli 1mo ago
Yes - unusually (uniquely?) bad for an official API. Which is a real bummer because it’s otherwise solid with excellent caching.
- embedding-shape 1mo ago
  My feelings are kind of split about it. On one hand, yes, I don't like it when a company essentially go through my history, train with it, and try to earn more profits for themselves based on what I've "unwillingly contributed". But then on the other hand, I also know that DeepSeek will release the weights they train (and publish new architecture upgrades) so me and others can download them and run them ourselves, as well as they'll earn more profits based on it. Then it's no longer so black and white for me, and I kind of feel like I'm not so bothered by it as when Anthropic and others do it. I'd still prefer it wasn't like that, but I guess it's a compromise ultimately, at least I'll be able to run it myself.
  - nhecker 1mo ago
    I've had the same thoughts, and I think you articulated them pretty well; maybe better than I could have. I.e., for me it's something like: I'm much more willing to share if I know the party I share with will share back, in turn. I know it's more complicated than that, with economics and privacy factors involved. But if I operate on the assumption that real privacy is real hard I'd rather just be guarded and careful with my prompts and whatever output I give to the LLM and expect that it will be training on that, rather than spill all my darkest secrets to some other LLM provider that pinkie-promises privacy only to leak it publicly later, anyway.
smrtinsert 1mo ago
we should get discounts for that!
jubilanti 1mo ago
Not only that, the policy is so broad you effectively give up EVERYTHING. They're within their rights to just straight up post your raw conversation history to a public dataset on github/huggingface/modelscope or even host an atproto feed giving the world real-time access to your conversations. Not saying they are or will, but their privacy policy is so permissive.

HarHarVeryFunny 1mo ago

Yes, I assume US customers are more likely hobbyists, but in any case this off-peak designation can only mean that most of their business is domestic. Interestingly it seems that Chinese customers are even more privacy-concerned than US ones, which is why the majority of Ziphu's (GLM) business is support services to Chinese companies running their open-weight models on-prem!