OpenAI Claims Solution to 90-Year-Old Math Problem

An MIT researcher is using GPT-5.6 Sol with Codex to autonomously run quantum computing experiments, including analyzing results and calibrating qubits. The application demonstrates AI's capability to handle complex, iterative scientific workflows without human intervention. This represents a practical use case for large language models in experimental physics and quantum research.

Google DeepMind has launched AlphaGenome Atlas, an AI tool designed to map every possible DNA letter change in the human genome. The platform aims to accelerate biological research and enable development of new disease treatments by providing a predictive map of genetic variations across the roughly three billion letter pairs that make up human DNA.

Danijar Hafner, a 31-year-old AI researcher who worked at Google Brain and DeepMind, has launched a stealth-mode startup in San Francisco focused on developing robots that can navigate unfamiliar environments. Using model-based reinforcement learning and world models, Hafner's approach enables AI agents to plan ahead and handle scenarios they have not encountered during training, a capability critical for deploying robots in human spaces. His technique allows complex robotic tasks without extensive real-world trial-and-error training that has traditionally been required in robotics.

OpenAI reports that coding agents are accelerating internal AI research workflows. The company has published early data on agent usage patterns, experiment velocity, task complexity, and overall research acceleration, offering a window into how autonomous coding systems are reshaping research operations at scale.