Man arrested for stealing 29 chocolate bunnies from Mainsbury’s 

A sweet-toothed thief was arrested last Wednesday (28/01) for stealing 29 Lindt gold chocolate bunnies from Sainsbury’s on Sidney Street. Cambridgeshire Police chased after the 36-year-old culprit, and said an officer was just a “hop, skip and jump behind him” before making the arrest. The chocolate bunnies were taken into custody as evidence. Police claimed the suspect “thought he could make a clean getaway with a basketful of bunnies,” but footage released of the pursuit revealed it lasted just 30 seconds.

Cambridge scientists open up about self-doubt

A group of Cambridge scientists have shared their experiences of rejection and setbacks in their careers for a new book. Catz pathology professor Adrian Liston’s new work, Self-Doubt: An Anthology of Experiences in the Biomedical Sciences, draws on the testimony of past and present members of his lab group. The academics recalled personal challenges, including chronic health conditions and cultural expectations, alongside professional struggles, such as trying to secure research funding. The book argues that failed experiments and setbacks are “an occupational hazard” of scientific careers, and Liston aims to show that researchers are “not alone when they’re doubting their abilities”.

Addies researchers develop ‘second set of eyes’ to monitor premature babies

Researchers at Addenbrooke’s have developed a 3D imaging system to help nurses monitor premature babies in neonatal intensive care. The camera combines RGB (which captures visible light), depth (for 3D perspective), and infrared imaging (which works well in the dark). Machine learning and pose estimation technology is then used to create 24-hour recordings. The system tracks hips and shoulders as key points to detect developmental abnormalities and monitor the health of premature babies.

‘Biased’ ChatGPT says Cambridge is happier and harder-working than Oxford

A study by researchers at the Oxford Internet Institute has identified bias in large language models (LLMs) by asking ChatGPT to provide one-word answers to questions about Oxford and Cambridge. The study found that ChatGPT associated Cambridge with being more “relaxed, socially mobile and industrious” than Oxford, which it associated with more alcohol and a livelier nightlife. ChatGPT also rated wealthier regions of the world as “better”, “happier” or “more innovative” than less wealthy ones. Mark Graham, who co-authored the paper, said that “ChatGPT has been trained on the corpus of available human knowledge, which is characterised by already existing prejudices”.