Researchers at Mass General Brigham have built an AI system that estimates biological age from a photo of a patient's face. In a study, it was also used to predict survival outcomes for people diagnosed with cancer.
The authors of AI Snake Oil have published a paper on how AI agents are evaluated. It surveys the methods in use, the open questions and the wider ecosystem around agent evaluation.
Researchers at MIT and Boston Children's Hospital built a model that adjusts scans in real time to follow the movements of a fetus. The approach could reduce the need for families to return to hospital for repeat scans.
Inception has released Mercury 3, a diffusion-based language model it says generates 1,068 tokens per second with a 1-million-token context window. In Inception's own comparison, it beats GPT-6 Luna and Claude Haiku 5.5 on 8 of 12 benchmarks.
Meta describes Generative Recommenders, which reason about ad content and user preferences together instead of scoring every ad, drawing on the world knowledge in LLMs. GenRecs tokenization is the data representation underpinning the approach.
Meta engineers report better efficiency and accuracy in their data pipeline agents by keeping the orchestration layer deliberately thin. The orchestrator only routes work and enforces reliability checks, while specialized agents handle the domain reasoning.