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soyuz43/README.md

William Stetar

Mechanistic Interpretability · Computational Philosophy of Science

I build computational benchmarks and experimental frameworks for studying inquiry, hypothesis selection, and scientific reasoning. My current work focuses on developing reproducible methods for evaluating mechanistic explanations, experiment-selection policies, and epistemic reliability in finite, exactly-computable environments.

Links

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  1. prbuddy-go prbuddy-go Public

    Auto-generate pull request drafts and explain commits using Git hooks + LLMs

    Go

  2. ftype-audit-safe ftype-audit-safe Public

    Safe PowerShell tool for auditing and repairing Windows file type associations with backup, dry-run, and signature support.

    PowerShell

  3. holoplan-cli holoplan-cli Public

    A CLI tool that transforms user stories into Draw.io wireframes via multi-agent LLM reasoning. Chunks narratives into views, builds layouts, validates geometry, and outputs clean XML. Tech stack: G…

    Go

  4. DreamTracker DreamTracker Public

    DreamTracker is a full-stack web application for recording, managing, and reflecting on dreams. With features like tagging, favoriting, keyword filtering, and client-side caching via React Query, i…

    C#

  5. I-have-no-mouth-and-my-tokens-must-scream I-have-no-mouth-and-my-tokens-must-scream Public

    Persistent adversarial multi-agent LLM engine: one controller (AM), five agents, emergent psychological torment. Live inference, no exit.

    JavaScript 1