AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻译准备中
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登录并生成验证文件,在 30 分钟内将其提交到此仓库的默认分支。其他分支或分叉仓库中的文件无效。然后在下方检查文件,即可无需管理员批准直接管理项目。请保留文件以维持管理权限。
如需登录,将前往登录页面。登录后请回到此处,再次点击所选的验证按钮。
在项目文件夹中运行 /nomorevibe verify,即可验证所有权并自行管理介绍。
一分钟完成验证Python and MCP tools for testing falsifiable claims and recording MATCH, DRIFT, or UNVERIFIABLE outcomes against supplied evidence.
翻译准备中
取自仓库 README
正在加载完整 README。 以下为已保存的摘录。
Register a thesis, measure each claim, name the weakest axis.
crucible turns a thesis into a set of claims, each paired with the observation that would refute it. Independent adversaries steelman every claim by proposing the strongest test, the engine measures each one against a substrate oracle, and the weakest axis gets refined across rounds: strengthen the substrate, sharpen the measurement, or amend the thesis. The result is a verdict per claim, MATCH, DRIFT, or UNVERIFIABLE, grounded in the measurement rather than a judge's opinion. Every run writes a record you can re-check.查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
Register a thesis, measure each claim, name the weakest axis.
crucible turns a thesis into a set of claims, each paired with the observation that would refute it. Independent adversaries steelman every claim by proposing the strongest test, the engine measures each one against a substrate oracle, and the weakest axis gets refined across rounds: strengthen the substrate, sharpen the measurement, or amend the thesis. The result is a verdict per claim, MATCH, DRIFT, or UNVERIFIABLE, grounded in the measurement rather than a judge's opinion. Every run writes a record you can re-check.查看完整 README ↗