ToS + privacy: make model/provider agnostic; user assesses per-model affordances

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inference-bot committed 2026-10-07 07:18:32 -06:00
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## In plain language
- We collect only what we need: your email, name, and basic usage data.
- **Some models are private by design** — inference runs in encrypted enclaves we cannot read. **Others are chosen for renewable energy or open development, not architectural privacy.** Pick the model that matches your needs.
- We offer a **changing variety of models with different privacy and value affordances** — some run in encrypted enclaves we cannot read, others differ. **You are responsible for assessing each model's properties and picking the one that fits your needs.**
- We **do** store your chat history on our server (so you can revisit it). We promise not to read it, but this is a promise, not a technical guarantee.
- We never train on your data, and we never sell it.
- You can export or delete your data at any time.
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## 3. Privacy depends on the model you choose
We serve models from multiple providers, and they do **not** all offer the same privacy. You choose per task:
We serve a **changing catalog of models from multiple providers, and they do not all offer the same privacy**. Models differ in their affordances — some run inference inside **encrypted enclaves** (TEEs) where inputs and outputs are not readable in plaintext at the inference step; others are selected for renewable energy, openness, or cost rather than architectural privacy. The set of available models, and their properties, will change as members decide.
- **Privacy-protected models (Tinfoil)** run inference inside **encrypted enclaves** (TEEs). Your model inputs and outputs are encrypted end-to-end, so **even our own infrastructure cannot read them at the inference step.** This is verifiable through remote attestation — a property of the system, not a promise.
- **Renewable-energy models (GreenPT)** run on 100% renewable infrastructure. Their protection is about energy, not architectural privacy — inputs and outputs are processed under GreenPT's own terms and data-processing agreement, not in an enclave.
- **Publicly developed models (PublicAI / Apertus)** are fully open. They likewise are chosen for open development, not architectural privacy.
**You are responsible for assessing each model's privacy and value properties and choosing the one that fits your needs.** As a rule of thumb:
**The distinction matters.** If you need the strongest privacy, use a Tinfoil model. If you choose a GreenPT or PublicAI model, be aware that your inputs and outputs are not encrypted in a way that prevents them from being processed in the clear. We never read or sell your data regardless of model — but the *architectural* guarantee exists only on the Tinfoil path.
- Some models run inference in encrypted enclaves, verifiable through remote attestation — a property of the system, not a promise.
- Other models are processed in the clear under their provider's own terms and data-processing agreement.
We never read or sell your data regardless of model — but the *architectural* guarantee applies only to models that offer it. Check the current model catalog and each provider's terms before relying on a particular model for sensitive material.
## 4. What we *can* see (an honest caveat)
@@ -58,9 +59,8 @@ Web search runs through our self-hosted search instance. Search queries are forw
## 7. Third parties
- **Tinfoil** — provides encrypted (TEE) inference; its privacy and data-processing terms apply.
- **GreenPT** — provides renewable-energy inference; its terms and data-processing agreement apply (EU-hosted, GDPR-compliant).
- **PublicAI** — provides openly developed models (Apertus); its terms apply.
The models we serve are provided by third parties that change over time, each with its own terms and privacy posture. We never sell your data, but when you use a model, that model's provider processes your inputs under its own terms and data-processing agreement — some in encrypted enclaves, some in the clear. Review each provider's terms before relying on it for sensitive material. Our current providers are listed in the model catalog.
- **Open Collective** — handles billing and membership (their own privacy policy applies).
- **Cloudron** — our self-hosted platform; no third-party cloud provider.
- **Search engines** — receive your search queries (see §5).