Ju Chun Ko
Ju Chun Ko's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.
Totals across every corpus @dAAAb appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.
What an agent can do with the uncensored-not-unbiased corpus
dAAAb/uncensored-not-unbiased: Uncensored is not unbiased: abliteration and PRC-aligned priors in open-weight LLMs (Taiwan sovereignty, 1989 Tiananmen…
- Look up how uncensored-not-unbiased implements abliteration, ai-safety, benchmark, with answers cited to file and line.
- Reuse a worked example: the commit “1992-Consensus framings: six themes stated in the formulas of ROC gov…” (8 files · Python).
- Answer from uncensored-not-unbiased's real Python source instead of memory (AI, prompts and agents).
- How does uncensored-not-unbiased implement abliteration?
- What does results do in uncensored-not-unbiased?
Search the GitHub repository dAAAb/uncensored-not-unbiased with XERJ (https://hub.xerj.org/corpus/daaab--uncensored-not-unbiased). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/dAAAb/uncensored-not-unbiased uncensored-not-unbiased && git -C uncensored-not-unbiased checkout 753416ff1c0e13365639998de74d566d0d81bc71 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./uncensored-not-unbiased --url http://127.0.0.1:9200 --prefix uncensored-not-unbiased --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
corpus daaab--uncensored-not-unbiased · AI, prompts and agents
Related corpora: agentbench, gorilla, mars2021y-gif/autonomous-ai-agent-security-incidents-2026, Borstwerk/KI-Regeln
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
dAAAb/uncensored-not-unbiased
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.
Sign in with GitHub or Hugging Face to see more: every selected commit in full (commit date, every folder, licence review state, pin) and the pack builds of each corpus.
[](https://hub.xerj.org/contributors/dAAAb)
Included with the author's permission (email, 2026-10-22), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.