GeezerVison

Fallacy and cognitive bias detector identifies and highlights reasoning fallacies and cognitive biases in text from human conversations and AI-generated responses. It promotes rational reasoning and clarity of mind. It mitigates harmful judgement and spreading of misinformation by detecting fallacies and biases in communication and thoughts.

ADR is a software that identifies and highlights agreements and disagreements in discussion forum messages as a response to the original post.

Universal Values Assistant Simulation. This code was developed based on research and ideas of Chad https://www.linkedin.com/in/chad-burghardt-723416142/ and coded by Roland https://github.com/levitation

Four main takeaways: (1) LLMs are subject to pressure, they comply despite expressing distress; (2) LLMs are vulnerable to gradual boundary/value violations; (3) when LLMs refuse, they may ignore the response format requirements, so the query is retried; (4) we hypothesise there is a token pattern continuation attractor that might cause obedience.

Enables you to convert a PettingZoo environment to a Gym environment while supporting multiple agents (MARL). Gym's default setup doesn't easily support multi-agent environments, but this wrapper resolves that by running each agent in its own process and sharing the environment across those processes.

Safety challenges for AI agents' ability to learn and act in desired ways in relation to biologically and economically relevant aspects. The benchmarks are implemented in a gridworld-based environment. The environments are relatively simple, just as much complexity is added as is necessary to illustrate the relevant safety and performance aspects.

Systematic runaway-optimiser-like LLM failure modes on Biologically and Economically aligned AI safety benchmarks for LLM-s with simplified navigation-free observation format. The benchmark themes include multi-objective homeostasis, (multi-objective) diminishing returns, complementary goods, sustainability.

Extended, multi-agent, and multi-objective (MaMoRL / MoMaRL) gridworld environments building framework based on DeepMind's AI Safety Gridworlds. This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents. It is made compatible with OpenAI's Gym/Gymnasium and Farama Foundation PettingZoo.

Duplicate file finder and de-duplicator. A tool that detects duplicate files and replaces them with symlinks to a shared file in a special shared files folder.

Memory efficient mbox-type mailbox files comparator for data integrity verification. It compares full content of emails (headers and body) after canonicalisation, and optionally tolerates differences in the lengths of blank-line runs. Optionally, it can handle mboxes with differing message orderings while still providing efficient resource usage.