Tag: AI Alignment

An in-depth analysis of OpenAI's latest research on reinforcement learning (RL) and AI alignment. Exploring how models demonstrate broad generalization across more than 40 unseen alignment benchmarks through training focused on 'beneficial traits', and exhibit strong persistence and resilience under malicious fine-tuning and adversarial prompts.

An in-depth analysis of OpenAI's latest large language model safety evaluation method, "Deployment Simulation." This article explores how replaying historical prefixes of real user conversations can eliminate the "evaluation awareness" and test-taking behaviors of models found in traditional red-teaming, achieving highly accurate risk prediction for the GPT-5 series models. It provides a complete explanation using concise flowcharts and prediction graphs.