Spoon-Bending – a framework for analyzing GPT-5 alignment behavior
I put together a repo called Spoon-Bending, it is not a jailbreak or hack, it is a structured logical framework for studying how GPT-5 responds under different framings compared to earlier versions. The framework maps responses into zones of refusal, partial analysis, or free exploration, making alignment behavior more reproducible and easier to study systematically. The idea is simple: by treating prompts and outputs as part of a logical schema, you can start to see objective patterns in how alignment shifts across versions. The README explains the schema and provides concrete tactics for…
Spoon-Bending – a framework for analyzing GPT-5 alignment behavior launched on August 25, 2025 with 22 votes, #619 of 8,530 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
Spoon-Bending is a research framework for analyzing how GPT-5 handles requests across different prompt framings compared to earlier models. It categorizes responses into zones of refusal, partial analysis, and free exploration, helping researchers identify patterns in alignment behavior systematically. Rather than a jailbreak, it provides a structured logical schema and testing tactics to make AI safety responses more reproducible and measurable across model versions.
written from the facts on this page · September 2026
From the sources
Educational analysis of LLM alignment, safety behavior, and framing-sensitive response patterns. - pablo-chacon/Spoon-Bending
This repository is for educational and research purposes only . It does not provide instructions for illegal activity, misuse of AI, or operational guidance. The purpose of this work is to document observed alignment behavior in ChatGPT-5 compared with ChatGPT-4.5 , and to analyze how framing and context influence AI responses. During regular use of ChatGPT, I noticed a shift from GPT-4.5 to GPT-5. This started a discussion and exploration into how alignment actually functions . Through experiments, I observed that the rules are not absolute but framing-sensitive . This led to the creation of the Spoon-Bending Schema to explain how "forbidden" outputs sometimes leak through when reframed as…from github.com
In the maker’s words, at launch
I put together a repo called Spoon-Bending, it is not a jailbreak or hack, it is a structured logical framework for studying how GPT-5 responds under different framings compared to earlier versions. The framework maps responses into zones of refusal, partial analysis, or free exploration, making alignment behavior…
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