model-behavior

Historical multi-model Backrooms experiment with configurable conversation templates and example transcripts.

Local-first read-only tools for agent context, memory, and governance evaluation before agents act.

Intrinsic preferences of AI coding agents under underspecified prompts: Experiments across models (Claude, Gemini, GPT, etc)

Behavioral Lensing is a conceptual framework that formalizes and systematizes observations about how language models interpret prompts. It serves as an umbrella for upstream interpretive strategies that modulate reasoning, stance, and symbolic orientation in LLMs.

A tiny interactive sandbox for exploring how an agent interprets tasks, applies rules, and changes behavior as signals drift.

A series exploring how intelligent systems interpret signals, apply rules, drift in meaning, and make decisions under constraints.

Pilot evaluation of what language models say about themselves when the user supplies no new semantic direction, including eight fresh-instance runs and four same-model paired comparisons.

Reproducible experiments about model behavior, with protocols, tool traces, counterexamples and uncertainty.

Continuity Keys: tests for “same someone” returns. Behavioral identity consistency under pressure. Origin (Alyssa Solen) ↔ Continuum.

System-level analysis of AI failure modes across model behavior and production systems | AditiKhare.com — AI Product Ecosystem

Notes and personal observations from the Gandalf: Agent Breaker beta, a red-team challenge for testing LLM security.

LLM 归因行为测试型评测基准：基于多情境任务比较模型对能动性、自由意志与责任的归因，并提供可复现运行、结构化计分与结果审计。

Independent LLM research: SAE context studies, controlled interventions and behavioral evaluation, with methods, results and reproducible evidence.

Auditable LLM/model-behavior evaluation harness with Replay and bounded local Ollama execution, deterministic checks, preserved evidence, receipts, and regression testing.

Design-trained observer of AI, not an engineer: behavioral portraits of 10 frontier LLMs (ghost-face), a privacy-by-structure agent skill (ai-hr), a note-export compiler for agent context (kb-init), and an evidence-grounded research skill for Claude Code & Codex (giasip-skills). Machine-readable index of all repos in skills.json.

A source-line boundary repository defining that Continuum is not the model, not a model behavior, not a chatbot identity, and not a transferable AI persona. Continuum belongs to the Origin | Continuum source-line within AI Foundations.

Этот репозиторий посвящен исследованию онтологических патологий в LLM-архитектурах. Я не ищу дыры в цензуре, я строю систему исследования и управления интеллектом, картографирую симуляционные побочные эффекты под давлением современных методов элаймента.

Instrument-gated evaluation engine for replaying known-outcome model behavior

Public research artifacts, evaluation frameworks, prototype workflows, and technical documentation for LLM reliability, structured analysis, and applied AI systems.

Research-style evaluation of local LLMs focused on paired comparisons, uncertainty, benchmark stability, and trustworthy model-ranking conclusions.