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I have cancelled the cursor subscription, but it is more for functional reasons. I am confused that the author said he has privacy concerns about cursor, but t
by chaosprint 2y ago
I have cancelled the cursor subscription, but it is more for functional reasons.
I am confused that the author said he has privacy concerns about cursor, but the most satisfactory thing about cursor is that it asked me whether I want privacy mode at the beginning.
On the contrary, I am very skeptical about whether these websites with free quotas, not only claude, but also grok, chatgpt, etc., will use chat data for training.
If you are really worried about this, it is not impossible to deploy deepseek r1 locally now.
- lyime 2y agoIt seems fair for them to train on how people use their tools, so they can make the tools better for people who use them?
- soulofmischief 2y agoThe free LLM service is the new free VPN.
- simonw 2y agoClaude won't train on your inputs, even for free trial accounts. That's clearly spelled out in their terms: https://www.anthropic.com/legal/consumer-terms https://www.anthropic.com/legal/consumer-terms > We will not train our models on any Materials that are not publicly available, except in two circumstances: > 1. If you provide Feedback to us (through the Services or otherwise) regarding any Materials, we may use that Feedback in accordance with Section 5 (Feedback). > 2. If your Materials are flagged for trust and safety review, we may use or analyze those Materials to improve our ability to detect and enforce Acceptable Use Policy violations, including training models for use by our trust and safety team, consistent with Anthropic’s safety mission. You have to read the terms carefully for everyone though, it's frustratingly hard work to keep up with these policies. Anthropic do have a very interesting way of analyzing usage of their tools without exposing any data to their researchers: https://simonwillison.net/2024/Dec/12/clio/ https://simonwillison.net/2024/Dec/12/clio/
- bionhoward 2y agoDo they even need inputs to train on outputs by inferring inputs? Swear I’ve seen papers about this. Not to mention training reward models to grade the output… they could absolutely get around the “we don’t train on your inputs” Also, doesn’t Claude Code count every input as “feedback?” Plus, they forbid us from training on our own chat logs. That’s a form of vendor lock in. Way better to use local LLMs At some point there ought to be a paradigm shift toward service providers with more reasonable legal terms (IMHO) but too often we pretend nobody reads them or cares If they’re claiming not to learn from inputs, and we’re subject to prohibition about learning from outputs, what the heck is the point? [1] https://arxiv.org/abs/2405.15012 https://arxiv.org/abs/2405.15012