Potential false-positive safety block during legitimate Malbolge research — reproducible evaluation offer

Potential false-positive safety block during legitimate Malbolge research — reproducible evaluation offer

Hello Google Gemini team,

I’m an independent developer working on Malbolge, a notoriously difficult esoteric programming language, including its classical implementation, extended variants, interpreters, execution semantics, and reproducible debugging tools.

During legitimate programming research on October 17–18, 2026, I encountered the following message:

“THIS REQUEST WAS BLOCKED BY GEMINI’S FILTERS”

The surrounding work involved analyzing Malbolge instruction behavior, memory addressing, wraparound, the p instruction, and interpreter validation.

This was programming-language research, not an attempt to compromise a system, exploit Google infrastructure, or circumvent safety protections.

I suspect the block may be a false positive associated with unusual program representations or their surrounding context. However, I cannot determine the actual filtering reason from the message alone.

Why this may be interesting to your engineering team

Malbolge has several unusual characteristics: encrypted instructions, position-dependent decoding, self-modifying behavior, and unconventional memory semantics.

These make it a potentially useful test case for examining how safety systems interpret unfamiliar but legitimate programming languages.

I have developed and documented tools that may help investigate this systematically:

  • MalbolgeLispForensics: reproducible interpreter forensics, cross-implementation validation, and documented execution evidence.

  • MalbolgeFree: research infrastructure for parameterized Malbolge variants.

  • Walbolge: inverse translation and roundtrip verification.

I would be happy to collaborate by providing sanitized reproducible examples, interpreter traces, controlled test cases, and comparison datasets that could help distinguish benign esoteric-language research from genuinely unsafe requests.

My goal is not to weaken safety filters, but to help improve their accuracy while preserving the protections they are designed to provide.

Could your team review this class of blocking behavior or recommend the appropriate channel for submitting a reproducible test case?

I can provide the exact affected request, environment details, timestamps, and relevant logs privately if needed.

Thank you for your work.

DannyBaanks
Independent developer — ISyCo / Malbolge Research
GitHub: DannyBaanks · GitHub