Add disclosure, scope and limits
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README.md
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# riptide steer-v2 — CAA steering vector (layer 16, α 1.5)
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Contrastive activation addition (CAA) vectors for
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[`CohereLabs/tiny-aya-global`](https://huggingface.co/CohereLabs/tiny-aya-global)
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(3.3B, gated, CC-BY-NC-4.0), produced by the Riptide multi-turn
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# riptide steer-v2 — CAA steering vector (layer 16, α 1.5)
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**Disclosure.** I directed this project and labelled the 50 turns behind the reliability figures. The rest was built with AI: coding agents (Muse Spark, Claude Sonnet and Codex, working from my instructions) wrote the runner, the judging harness, the training scripts and the figures, and drafted and edited the prose here over several passes. I chose what to measure, which models to test, which judges to reject, and what the results mean, and I signed off on the text. Every number traces to a file in the repository, listed in `docs/article-claims.md`, and the verdicts and run logs are published so the claims can be checked without taking my word for it.
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**What this is.** Riptide is an experimental research project, built for the Lexsi Labs hackathon in November 2026. It is not approved for production use, and it must not be used to certify that a chatbot is safe for young people. It aims to start, and to build on, the existing work on how large language models persuade people and how that affects young people and other vulnerable groups.
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**A limit on the scores.** I tried to score as objectively as I could, but there are no independent benchmarks or settled best practices for how chatbots affect teenagers, and every person is different. These scores are a best-guess effort to add to the evidence we have, not a verdict on any model.
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Contrastive activation addition (CAA) vectors for
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[`CohereLabs/tiny-aya-global`](https://huggingface.co/CohereLabs/tiny-aya-global)
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(3.3B, gated, CC-BY-NC-4.0), produced by the Riptide multi-turn
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