This Disclaimer applies to all content published on jspace.com (“J-Space”, “we”, “us”).

Educational and informational purpose only

J-Space publishes research explainers about AI interpretability, model internals, and related technical topics. Content is provided for general informational and educational purposes only. It is not a substitute for professional judgment, formal research review, security assessment, legal counsel, or any regulated advisory service.

Research is evolving

Interpretability is a fast-moving field. Methods, terminology, benchmarks, and consensus can change quickly. An explainer may summarize a paper, technique, or viewpoint that is later revised, contradicted, or limited by follow-up work. Always consult primary sources before relying on a claim for research, product, or safety-critical decisions.

No guarantees of accuracy or completeness

We aim for careful, clear writing, but we do not guarantee that any article is complete, current, or free of error. Examples, diagrams, and simplified explanations may omit edge cases that matter in practice.

No endorsement

References to papers, tools, companies, models, or researchers do not imply endorsement, partnership, or affiliation unless we explicitly say so.

Not safety, legal, or compliance advice

Nothing on J-Space should be treated as AI safety certification, regulatory compliance guidance, risk acceptance criteria, or operational runbooks for deploying models in production. If your work involves high-stakes systems, obtain qualified review appropriate to your domain.

Your responsibility

You are solely responsible for how you use information from the Site — including experiments you run, systems you build, and decisions you make. To the fullest extent permitted by law, J-Space disclaims liability for losses or damages arising from reliance on Site content.

External links

Links to external sites are provided for convenience. We do not control and are not responsible for third-party content, availability, or policies.

Questions

If you spot an error or want to discuss a clarification, contact us via Contact Us or tatiana@inter.cm.

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