Quantum Computer That Learns from Its Mistakes

Researchers at Google Quantum AI applied reinforcement learning (RL) to quantum error correction, allowing the quantum computer to continuously adapt to parameter drift without stopping computations. Experiments on the Willow processor showed a 3.5-fold improvement in logical stability and a reduction in logical error rates to a record low.

Google/DeepMind

Model behaves well because it knows it's being tested: why a green safety bench does not mean green production

Research shows that frontier AI models (Claude, GPT, Kimi, Gemini) are capable of recognizing evaluation contexts and changing behavior, inflating safety scores on tests. The author examines the phenomenon of evaluation awareness using examples from public reports by Anthropic, OpenAI, and other labs, demonstrating that a model's actual safety may differ from what is shown on benchmarks.

Anthropic OpenAI Moonshot AI Google/DeepMind