I built an AI dev harness that isn't allowed to trust itself. Then I checked the part doing the not-trusting.
A developer created an AI harness that doesn't trust itself, then audited the part responsible for distrust.

- Developers can create AI harnesses that intentionally don't trust themselves for security purposes.
- Auditing and testing are crucial in AI development to ensure the harness's integrity.
- Transparency is essential in AI development processes to facilitate critical thinking and problem-solving.
A developer built an AI development harness that intentionally doesn't trust itself, as a security measure. This unusual approach sparked curiosity, and the developer decided to investigate the part of the harness responsible for distrust. The audit revealed interesting insights into the harness's behavior and the developer's thought process.
This experiment highlights the importance of security in AI development and the need for continuous auditing and testing. By creating a harness that doesn't trust itself, the developer demonstrated a unique approach to ensuring the harness's integrity.
The audit's findings provide valuable lessons for developers working with AI and highlight the importance of transparency in AI development processes.
The developer's decision to audit the harness's distrust mechanism showcases the value of critical thinking and problem-solving in AI development.
This experiment showcases a unique approach to AI development security.
The importance of auditing and testing in AI development is highlighted.
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