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Charon77today at 1:45 AM1 replyview on HN

First of all, I don't want to run anyone's code without proper explanation, so help me understand this. Let's start with the verifier. The 3rd party verifier receives a bundle, not knowing what the content is, not having access to the tool used to measure, and just run a single command based on the bundle which presumably contains expected results and actual measurements, both of which can easily be tampered. What good does that solve?


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Lama9901today at 1:50 AM

Right question. Bundle alone proves nothing — you're correct.

Two things make it non-trivial to fake:

The pipeline is public. You can read scripts/steward_audit.py before running anything. It's not a black box.

For materials claims — the expected value isn't in the bundle. Young's modulus for aluminium is ~70 GPa. Not my number. Physics. The verifier checks against that, not against something I provided.

ML and pipelines — provenance only, no physical grounding. Said so in known_faults.yaml :: SCOPE_001.

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