The Gene Ontology (GO) resource, established in 1998, provides structured and computable knowledge about gene functions. Over the past two years, GO has made significant advancements, including the introduction of unique identifiers for each monthly release, a refactored molecular function ontology, enhanced quality assurance efforts, new evidence codes for high-throughput experiments, and the release of GO-CAM, a new framework for representing gene functions. The resource now includes over 45,000 terms linked by nearly 134,000 relations, with over 7 million annotations from more than 3,200 species. GO-CAM models, which are more expressive than standard GO annotations, are being curated and made available for exploration. The resource also introduces the 'GO ribbon' widget for visualizing GO annotations, and a new data production pipeline ensures monthly releases with persistent DOIs. These developments aim to enhance the accuracy, consistency, and precision of GO annotations, supporting reproducibility in biological research.The Gene Ontology (GO) resource, established in 1998, provides structured and computable knowledge about gene functions. Over the past two years, GO has made significant advancements, including the introduction of unique identifiers for each monthly release, a refactored molecular function ontology, enhanced quality assurance efforts, new evidence codes for high-throughput experiments, and the release of GO-CAM, a new framework for representing gene functions. The resource now includes over 45,000 terms linked by nearly 134,000 relations, with over 7 million annotations from more than 3,200 species. GO-CAM models, which are more expressive than standard GO annotations, are being curated and made available for exploration. The resource also introduces the 'GO ribbon' widget for visualizing GO annotations, and a new data production pipeline ensures monthly releases with persistent DOIs. These developments aim to enhance the accuracy, consistency, and precision of GO annotations, supporting reproducibility in biological research.