Realtime voice can drift from a supplied text file and invent source attribution
Nobody has claimed this yet.
- Dominant language
- Rust
- Stars
- 125k
- Forks
- 19.4k
- PR merge metrics
- PR metrics pending
Description
Summary
In a realtime voice session, I asked Codex to read a supplied local TXT file word for word and to pause only when I said “stop.”
After initially reading from the file, the voice output drifted into text that was not present in the TXT. It then treated that invented material as if it had come from the file, including unsupported evidence references and an attempt to locate linked source files.
Expected behavior
When asked to read a supplied file verbatim, the system should remain locked to the file’s exact contents. It should not blend in prior conversation text, generate missing paragraphs, or infer supporting source material.
Impact
This is especially concerning for legal, medical, financial, or other source-sensitive documents: the user may hear material presented as part of their document when it is not.
Requested safeguards
- A strict verbatim mode that reads only the selected file contents.
- Clear source boundaries between document text and conversation context.
- A guardrail that prevents evidence/source claims unless the relevant content is actually present in the file or separately verified.
- A visible or audible indication when exact playback cannot continue.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The report names no source files, tests, or entry points. First reproduce the realtime voice session with a local TXT file and compare the output with the file contents; done means verbatim playback stays within the supplied file, with unsupported source claims prevented or clearly flagged.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- rust
- Domain
- ai, audio-video-rtc
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100