Recent studies indicate that current artificial intelligence (AI) tools struggle to accurately interpret biological data, specifically gene activity. These findings raise concerns about the reliability of AI-driven research and applications in the life sciences. The studies highlight the need for significant improvements in AI's ability to understand complex biological systems before it can be effectively used for tasks such as drug discovery and personalized medicine. Experts emphasize the importance of continued research and development to bridge the gap between AI capabilities and the intricacies of biological processes.