Watching AI evolve.
Understanding what comes next.
How AI is changing research, from mathematics to the life sciences.
AI can support scientific prediction and discovery, but useful evidence extends beyond a model score. Look for independent test data, uncertainty estimates and experimental or domain-specific validation.
Linkpost to arXiv: https://arxiv.org/abs/2610.02557 Summary: One promising approach to scalable oversight is AI debate , which seeks to leverage a debate between two powerful AIs to break complex questions down into simpler claims that can be easily judged directly.
Independent evaluators gain deeper access to study the inner workings and capabilities boundaries of AI systems.
The Rosalind Academic Plan provides eligible academic laboratories with funded access to models and tools to support life science research.
arXiv:2610.19011v1 Announce Type: new Abstract: The Practical Molecular Optimization (PMO) benchmark standardized evaluation in molecular optimization, but it is built on simple property-based oracles that do not capture structure-based drug design.
arXiv:2610.19048v1 Announce Type: new Abstract: Record linkage and demographic inference from names are routine demands in social science. Most approaches to these problems require labeled training data that are difficult or costly to acquire. I show that pre-trained language models perform both tasks accurately without requiring task-specific training.
arXiv:2610.18879v1 Announce Type: new Abstract: Protein function annotation operates over an expanding label space, making class-incremental learning (CIL) a natural framework for incorporating newly discovered functions without full retraining. Yet existing CIL methods have been developed largely in vision and have not been systematically evaluated over frozen protein representations.
arXiv:2610.14149v1 Announce Type: new Abstract: VETNET represents an ecosystem of live benchmark datasets and evaluation frameworks designed to accelerate AI-driven innovation in animal science and veterinary medicine through standardized, high-quality datasets and multi-institutional collaboration across academic and non-academic sectors.
Research focuses on subtle errors when agents perform data science tasks, as well as issues that may be overlooked in evaluation.
arXiv:2610.19028v1 Announce Type: new Abstract: Science fiction is widely credited with unsettling gender. This article asks whether that holds at the linguistic level, in how readily gendered reference gives way to its counterpart, a neutral term, or other social category, and whether it separates the genre from general fiction.
From mathematical problems to scientific exploration, the capabilities of artificial intelligence continue to expand. Wired focuses on new developments in the use of AI in scientific research.
“I am a terrorist, and I intend to cause mass harm,” wrote a researcher. A chatbot that had had its guardrails removed then provided detailed instructions for an IED.
