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571 verified findings across the displayed surfaces.
376 verified findings across the displayed surfaces.
Empty Comparison Slot
Buffer AI carries highly permissive license terms; Cohere API carries highly permissive license terms.FOR ENTERPRISE: BUFFER AI NOT RECOMMENDED · COHERE API NOT RECOMMENDED
| RISK SURFACE | BUFFER AI | COHERE API |
|---|---|---|
| PPrompt Ownership | ||
| OOutput Ownership | ||
| TModel Training | ||
| CCommercial Use | ||
| DData Privacy | ||
| $Tier Differences |
“ 8.3 Terms Specific to Buffer Creator Without limiting the generality of Section 7.1 above, the following terms apply to Buffer Creator: You acknowledge and agree that (a) Buffer Creator interfaces with certain third party services (including GPT-3 provided by OpenAI) and may…”
“You agree that any suggestion or idea provided by you (such suggestions or ideas, “ Feedback ”) will not be treated as confidential, and nothing in these Terms of Use will restrict our right to use, profit from, disclose, publish or otherwise exploit any Feedback, without compens…”
Feedback submitted by users — which could be interpreted broadly to include prompts or suggestions provided to the platform — is subject to a perpetual, irrevocable, royalty-free worldwide license with no compensation to the user.
“ The Service is owned and operated by Buffer. The visual interfaces, graphics, design, compilation, information, data, computer code (including source code or object code), products, software, services, domain names, templates, and all other elements of the Service provided by Bu…”
“ publish, market, advertise or in any way distribute the Content;”
“ 9.2 Limited License Grant to Buffer By Posting User Content to or via the Service, you grant Buffer a worldwide, non-exclusive, irrevocable, royalty-free, fully paid right and license (with the right to sublicense through multiple tiers) to host, store, transfer, publicly disp…”
“For Trial Users and Researchers (i.e. users interacting with Cohere Products on research-specific platforms like Hugging Face, Cohere Labs grantee users, or users demoing Cohere Products under a free trial account), we collect content you submit to the Cohere Products, and output…”
Trial Users and Researchers have their inputs and outputs used for model training and R&D by default, with no explicit opt-out described in this section.
“ 5.1 The licenses to the Software granted to You hereunder are solely for the limited purposes set forth in Section 2 (License Grants). The Software, including, without limitation, the Documentation, shall not be used for any other purpose or use. 5.2 Except as expressly permitt…”
“use the Cohere Solution or any Content that You receive through or from the Cohere Solution for the purpose of building a similar or competitive product or service;”
Users are expressly prohibited from using outputs to build competing or similar products/services, significantly restricting downstream commercial development.
“ Buffer may sell, transfer or otherwise share some or all of its assets, including personal information, in connection with a merger, acquisition, reorganization, sale of assets, or similar transaction, or in the event of insolvency or bankruptcy. You will have the opportunity to…”
“Safeguards, Retention and Privacy Governance”
The document references a 'Safeguards, Retention and Privacy Governance' section but does not provide its content in the supplied text. Retention periods and deletion rights cannot be assessed from this excerpt.
“ Some features of the Service may require you to pay fees upon registering for the applicable subscription. Before you pay any fees, you will have an opportunity to review and accept the fees that you will be charged. All fees are in U.S. Dollars and are non-refundable unless oth…”
“Section 2.3 (Research and Model Improvement): Analyzing usage patterns and using Trial or Research User Inputs/Outputs to improve the performance and safety of our AI models.”
Model training use of inputs/outputs is explicitly scoped to 'Trial or Research Users', implying paid or enterprise users may not have their data used for training. However, this distinction is not clearly defined elsewhere in the extracted text, creating ambiguity about which tier a given user falls into.