Home AI Hacker News Self-Referential Quantum Barriers: A Framework for Containing AGI — RE::DACT

Self-Referential Quantum Barriers: A Framework for Containing AGI — RE::DACT

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Building Verifiable AI: A New Paradigm for Accountability in Journalism

In the rapidly evolving field of AI, ensuring accountability is paramount. My article delves into the construction of a reliable audit system, RE::DACT, which cryptographically logs every AI interaction—addressing a crucial question: How do we hold AI accountable when its capabilities outstrip human oversight?

Key Insights:

  • AI Containment Problem: Explores the assertion that AGI containment is undecidable, questioning the paradigm used by prior researchers.
  • Innovative Paradigm: Proposes a solution using a quantum gatekeeper, suggesting that a barrier exists within a computational framework beyond the AI’s reach.
  • Pain Mechanism: Breach attempts degrade the AI’s reasoning capabilities, rather than simply failing.

The findings challenge conventional wisdom and invite further exploration. Let’s discuss the implications of this framework for the future of AI safety!

👉 Read the full article and join the conversation on redefining AI accountability!

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