OpenAI Claims Reasoning Model Solved 80-Year Math Problem

Anthropic launched Claude Science, an AI workbench designed to consolidate scientific tools and datasets for researchers, at its 'The Briefing: AI for Science' event this week. The company framed the product around accelerating scientific discovery and healthcare development, citing existing biotech and pharma customers. Anthropic also announced it would develop drugs itself, expanding beyond its current role as an AI tool provider.

Alibaba researchers developed SkillWeaver, a framework that reduces token consumption by over 99% when routing AI agents to the correct tools from large libraries. The system uses a three-stage process (decompose, retrieve, compose) combined with Skill-Aware Decomposition to iteratively fetch and evaluate relevant tools rather than exposing agents to entire tool catalogs. This addresses a core challenge in enterprise AI systems where agents must orchestrate multiple tools to complete complex, multi-step workflows.

Researchers at Chen et al. have developed an AI X-ray scientist that autonomously aligns single crystals at a real synchrotron beamline, demonstrating how large language models can enable adaptive closed-loop experimentation at large-scale scientific facilities. The system operates without human intervention, representing a shift toward autonomous scientific discovery at major research infrastructure.

Large language models exhibit severe homogeneity in their responses to open-ended questions, converging on predictable answers across different providers. Australian startup Springboards has developed Flint, an LLM trained to generate more diverse outputs by embracing what traditional models treat as hallucinations. A November research paper won best paper at NeurIPS by documenting this phenomenon across 25 different models, finding that most responses to creative prompts cluster around identical phrases.