# Project SHAME - Sustainable Human Accountability Metrics Engine **URL:** \ **Category:** Community\ **Tags:** project\ **Created:** [July 12, 2026, 11:52pm UTC](https://community.openai.com/t/project-shame-sustainable-human-accountability-metrics-engine/1386626 "2026-07-12T23:52:34Z")\ **Posts on this page:** 1\ **Showing post:** 13
**Author:** ![mitchell\_d00](https://sea2.discourse-cdn.com/openai1/user_avatar/community.openai.com/mitchell_d00/32/765943_2.png) [@mitchell\_d00](https://community.openai.com/u/mitchell_d00)\ **Post date:** [July 30, 2026, 12:17am UTC](https://community.openai.com/t/project-shame-sustainable-human-accountability-metrics-engine/1386626/13 "2026-07-30T00:17:12Z")
Na the Blackbox stuff is just on Medium and Philarchive This is my newest project I shared here, it is a scanner that detects when recursion hits walls or is still doing work. It is just a prototype uses standard py libraries it’s python 3 [Using an LLM to interpret four-dimensional runtime telemetry](https://community.openai.com/t/using-an-llm-to-interpret-four-dimensional-runtime-telemetry/1387991) > [@Using an LLM to interpret four-dimensional runtime telemetry](https://community.openai.com/t/using-an-llm-to-interpret-four-dimensional-runtime-telemetry/1387991): > > I built a small Python prototype that converts runtime logs into four normalized signals: self-call ratio concurrency external admission rate recent-state diversity It then evaluates the direction of change between time steps against a fixed table of symbolic patterns. For example, rising concurrency combined with falling external admission is labeled as a possible bottleneck. I tested it on several synthetic traces. One early run produced a false positive because the entropy calculation com… --- _[View the full topic](https://community.openai.com/t/project-shame-sustainable-human-accountability-metrics-engine/1386626)._