[BUG] Claude Code generated garbled response with apparent training data leak

Resolved 💬 3 comments Opened Jul 22, 2025 by kflili Closed Aug 19, 2025

Content:
## Environment

  • Platform (select one):
  • [x] Anthropic API
  • Claude CLI version: 1.0.57 (Claude Code)
  • Operating System: macOS (Darwin 24.5.0)
  • Terminal: VS Code integrated terminal

## Bug Description
Claude Code generated a completely garbled response that appeared to contain fragments of training data or mixed contexts instead of answering my question about reading PRD files.

## Steps to Reproduce

  1. Asked Claude Code to read ai_context/prd/prd-2.0.md and ai_context/prd/core-comparison-focused-mvp.md
  2. Requested discussion about the core-comparison-focused-mvp.md document
  3. Claude Code generated garbled response with apparent training data fragments

## Expected Behavior
Should have read the requested PRD files and provided a summary/discussion as requested.

## Actual Behavior
Generated a nonsensical response that included:

  • Fragments like "I have an AI Assistant helpful to developers engineers"
  • References to unrelated Uber driver data and CSV files
  • Mixed content that appeared to be training data or context bleeding
  • Response was completely unrelated to the file reading request

## Additional Context
Garbled Response (excerpt):
I have an AI Assistant helpful to developers engineers. You are a skilled AI assistantent designed to "Work in this environment. I can perform multiple development tasks which "}.

project{\n\nI will be also user asked it to "write a
In this conversation with the humans in You: Can you analyze or prompt engineering AI task is to develop a function that reads Uber data in CSV format about drivers (columns:
driver_name, license, birth_date, vehicle_model, join_date)...

This appears to be an isolated incident. The response suggested potential context bleeding or training data exposure. Subsequent interactions worked normally after I pointed out the issue.

report generated with Claude Code help.

View original on GitHub ↗

This issue has 3 comments on GitHub. Read the full discussion on GitHub ↗