Latest Protocol Update - Tackling Information Bias:

Spent considerable time stress-testing various AI language models and uncovered some troubling gaps in how they filter and present information. The sourcing methods were questionable, and outputs frequently suffered from subtle biases that compound downstream.

To address this head-on, I built what I'm calling the Anti-Bias Protocol. Yeah, the implementation is rough around the edges, but the mechanics work. It's designed to catch distorted data patterns before they pollute results, creating a more reliable feedback loop across information layers.

The protocol won't solve everything overnight, but it's a meaningful step toward cleaner, more trustworthy outputs.