I’ve been closely analyzing OpenAI’s recent paper Why Language Models Hallucinate (Kalai et al., September 2025) alongside my own June 2025 paper, The Arbitration Hypothesis. Reading them together reveals something fundamental about how and why AI systems fail. The Mathematics of Inevitable Hallucination OpenAI’s paper provides an elegant proof: hallucinations are not anomalies, but a…
Move Beyond ChatGPT Prompts to Teach Data Justice, AI Bias Detection & Community Research Teaching AI ethics through worksheets while algorithms make real decisions about your students’ futures? There’s a better way. 🎯 The Problem We’re Solving Current AI education focuses on prompt engineering and technical skills while ignoring the fundamental question: whose voices shape…
“It is a far, far better thing that I do, than I have ever done; it is a far, far better rest that I go to than I have ever known.” Sydney Carton’s steady climb toward the guillotine at the close of A Tale of Two Cities is often read as literature’s most luminous act…
Anthropic’s recent innovation in AI safety, the persona-vector “vaccine”, is an ingenious approach that exposes large language models (LLMs) to controlled doses of harmful behavior during training, effectively “vaccinating” the AI against undesirable traits. This method draws a clever parallel to immunology and offers a valuable short-term safety boost by steering models away from harmful…
