A new update to the GPT-Rosalind model is bringing more intelligence to life sciences research, combining advanced coding capabilities with stronger knowledge in areas like medicinal chemistry and genomics. This update shows significant performance gains in tasks such as biology research, medicinal chemistry queries, and wet lab troubleshooting. The model is now available in research preview to eligible organizations, with a focus on measuring and improving its real-world impact through a new benchmark called LifeSciBench. Why it matters: this development has the potential to accelerate breakthroughs in life sciences by providing researchers with more powerful tools to analyze and design experiments, ultimately driving progress in our understanding of complex biological systems and the development of new treatments.