https://www.nature.com/articles/d41586-026-00453-8 “Last year, synthetic biologist Meagan Olsen performed the biggest experimental campaign of her career. The PhD student at Northwestern University in Evanston, Illinois, was trying to make proteins in a test tube more efficiently. Across more than 40 experiments over four months, she tested 1,231 combinations of sugars, amino acids and other ingredients, including cellular machinery, before landing on a cocktail that was at least six times cheaper than existing cell-free protein-synthesis recipes 1 . Now, an ‘autonomous laboratory’ system made up of a large language model (LLM) ‘scientist’, lab robotics that automate simple tasks such as liquid transfer and human overseers created by scientists at artificial-intelligence firm OpenAI in San Francisco, California, and Ginkgo Bioworks, a biotechnology company in Cambridge, Massachusetts, has eclipsed Olsen’s record. It achieved a further 40% reduction in cost, after testing more than 30,000 experimental conditions over 6 months. The findings — described in a paper 2 posted on the bioRxiv preprint server on 5 February — have sparked discussion over the extent to which chatbot-controlled robots could replace humans.” submitted by /u/AngleAccomplished865
Originally posted by u/AngleAccomplished865 on r/ArtificialInteligence