The Goblin in the Machine: What OpenAI’s “No-Pigeon Rule” Teaches Lawyers About AI Hallucinations

In April 2026, OpenAI revealed an unexpected pattern in its Codex AI, which frequently mentioned fantastical creatures like goblins and gremlins. This incident highlighted how training incentives can influence AI behavior and cause problematic outputs. The implications for the legal field emphasize the necessity for rigorous verification and human oversight in AI usage.

2025 Year in Review: Beyond Adoption—Entering the Era of AI Entanglement and Quantum Law

In 2025, we transitioned from AI adoption to AI entanglement, blending human training with advanced AI capabilities. This year marked a shift towards treating AI as agents requiring skepticism and verification. As legal standards evolve with quantum law, the importance of human oversight and resilience against misinformation has never been clearer.

AIs Debate and Discuss My Last Article – “Cross-Examine Your AI” – and then a Podcast, a Slide Deck, Infographic and a Video. GIFTS FOR YOU!

Ralph Losey, December 22, 2025 Google AI Adds to My Last Article I used Google’s NotebookLM to analyze my last article, Cross-Examine Your AI: The Lawyer’s Cure for Hallucinations. I started with the debate feature, where two AIs have a Read More …

Cross-Examine Your AI: The Lawyer’s Cure for Hallucinations

The article emphasizes the importance of cross-examining AI as legal practitioners increasingly utilize it for research. Lawyers have faced sanctions for blindly accepting AI-generated information, leading to fabricated legal citations. By applying structured questioning, lawyers can enhance AI’s utility while mitigating risks, ensuring its outputs are accurate and reliable.

The New Stanford–Carnegie Study: Hybrid AI Teams Beat Fully Autonomous Agents by 68.7%

Ralph Losey, December 1, 2025 (25 minute read) For years, technologists have promised that fully autonomous AI Agents were just around the corner, always one release away, always about to replace entire categories of work. Then Stanford and Carnegie Mellon Read More …