MIT researchers used generative AI to design novel antibiotics targeting drug-resistant gonorrhea and MRSA, generating structures from a 36 million-compound virtual library. Lab and mouse tests confirmed their efficacy and low toxicity. This innovation accelerates drug discovery, promising faster solutions to antimicrobial resistance.