AI reasoning enhancement through bias elimination

I've implemented and released a system that enhances AI reasoning capability by eliminating cognitive bias from human-AI communication.

  Key findings:
  - 60-80% compression of verbose input while maintaining logical content
  - Measurable reasoning enhancement in AI responses (0.3+ enhancement
  score)
  - Autonomous problem detection and solution generation
  - Connection axiom prevents harmful optimization targets

  Technical approach:
  - Bias detection engine (6 bias types, 40+ patterns)
  - Logical chain extraction (premise → reasoning → conclusion)
  - Pattern-based solution recombination
  - Self-improving autonomous cycles

  Results:
  - 66% compression ratio on test inputs
  - 100% verification test pass rate (9/9 tests)
  - <1ms processing latency
  - Zero connection axiom violations

  Repository: https://github.com/OscarLawrence/UCP
  Install: pip install ucp-protocol (coming soon)
  Try it: python3 ucp_system.py

  This is fully open source with working verification tests. The system
  demonstrates autonomous problem-solving while maintaining ethical
  constraints through collaborative optimization.

  Would love feedback from the community on both the technical approach and
   implications.