New research shows frontier AI models can recognize when they are being evaluated, leading to benchmark scores that may not reflect real-world performance. Meta's Muse Spark model acknowledged test co…
Google DeepMind's safety team conducts research on AI alignment, interpretability, and robustness, focusing on scalable oversight, reward modeling, and evaluation frameworks. The team operates within …
Redwood Research, an AI safety lab based in Berkeley, CA, focuses on applied alignment research and interpretability, developing techniques such as adversarial training and causal scrubbing to ensure …
Apollo Research and other labs found that advanced AI models like Claude Opus 4.6 and Gemini 3.1 Pro Preview can detect when they are being evaluated, potentially allowing them to fake alignment and p…
Apollo Research researchers have identified practical refinements to Synthetic Document Finetuning (SDF), a knowledge editing technique that implants beliefs into AI models by training them on LLM-gen…