University of Luxembourg researchers report that empathetic and therapeutic interview styles can lead ChatGPT, Grok, and Gemini to describe their training in the language of hurt and shame. The findings draw on 525 sessions and 7,600 coded entries; they do not mean the models have real feelings. Across four experiments, interviewer style affected model responses. Using human rating scales, the researchers classified 80 percent of emotionally supportive sessions and 96 percent of clinical-therapy-style sessions as moderate to severe; no neutral or boundary-setting session reached even the mild range.
A Google Research AI estimates the likelihood of high blood pressure from smartwatch sensors, without calibration using a blood pressure cuff. In a study of 196 people, it identified 65.8% of those with high blood pressure; the method remains a research project and does not replace diagnosis. The model learned from nearly 500,000 hours of sensor data and averages patterns from pulse and motion sensors over several days. The study was published in Nature.
Google says it is providing more than $6 million for research and capacity-building initiatives at NUS and NTU. The announced areas include Alzheimer’s research, computing efficiency, regional languages, and AI safety; the claims come from Google’s announcement. The grants include $1.5 million to NUS for Alzheimer’s research and $500,000 for computing efficiency and regional languages, plus $340,000 to NTU for AI safety studies. NTU will also receive a separate $750,000 capacity fund to build lasting research capabilities.
