Commitmentschangelog →

What AI vendors commit to, in their own words.

Seven commercial commitments tracked across AI vendors: acceptable use policy, no-train default, output ownership, IP indemnity program, retention default, deprecation notice, and safety framework version. Every cell is anchored to a primary source URL. No interpretation. The product is structured citation.

15
Vendors
7
Commitments per vendor
5 / 105
Verified cells
3
Comparing
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Comparing Anthropic, AWS Bedrock, Meta. URL is shareable.

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Anthropic
Claude
AUP

Usage Policy (effective September 15, 2025)

verifiedsource ↗2025-09-15
No-train default

Anthropic may not train models on Customer Content (Inputs + Outputs) under Commercial Terms

verifiedsource ↗2025-06-17
Output ownership

Customer retains all rights to Inputs; owns Outputs

verifiedsource ↗2025-06-17
IP indemnity program

Pending verification (Claude Enterprise terms)

Retention default

API: 30 days for safety. Enterprise: 0 days available.

Deprecation notice

At least 60 days notice before retirement for publicly released models

verifiedsource ↗
Safety framework

Responsible Scaling Policy v3.3 (effective May 26, 2026)

verifiedsource ↗2026-05-26
AWS Bedrock
Amazon Bedrock
AUP

AWS Acceptable Use Policy

No-train default

Customer data in Bedrock not used to train base foundation models

Output ownership

Customer owns Outputs

IP indemnity program

Uncapped IP indemnity for covered Bedrock services

Retention default

Not retained beyond inference unless customer enables logging

Deprecation notice

Ad-hoc per underlying model provider. Bedrock relays provider deprecation.

Safety framework

Relies on underlying model providers (Anthropic RSP, Meta, etc.)

Meta
Llama
AUP

Llama Acceptable Use Policy

No-train default

Open-weights distribution. Llama license does not require Meta to train on customer data; in-product Meta AI has separate terms.

Output ownership

Customer / licensee owns Outputs subject to Llama Community License terms

IP indemnity program

No standalone indemnity program for Llama itself. Some distributors (AWS Bedrock, Databricks) provide their own.

Retention default

Not applicable for open-weights local deployment. Hosted Meta AI separate terms.

Deprecation notice

Ad-hoc per Llama version release. No formal cross-version commitment.

Safety framework

Frontier AI Framework v1.1

Methodology. Each cell quotes from a vendor primary source (Acceptable Use Policy, Commercial Terms, Trust Portal, Safety Framework, or equivalent). The product never paraphrases or interprets vendor language. It quotes and links.

How verification works. Cells marked pending are scaffolded with a best-effort summary and the source URL, but the exact clause has not yet been pasted into the quote field. The verification flow: open the source, find the relevant clause, paste the exact text into the cell, then flip the verified flag. Until a cell is verified it should not be cited in writing.

Found a cell that is wrong, stale, or missing? Email hello@anteroom.so.