Gemini: Google's most capable AI model yet(blog.google)
711 points by tosh | 415 comments
Google blog post by Sundar Pichai and Demis Hassabis announcing Gemini, Google's largest and most capable AI model, dated December 6, 2023.
711 points by tosh | 415 comments
Google blog post by Sundar Pichai and Demis Hassabis announcing Gemini, Google's largest and most capable AI model, dated December 6, 2023.
1192 points by todsacerdoti | 553 comments
Google blog post by Sundar Pichai and Demis Hassabis announcing Gemini 1.5, a model with improved performance and long-context understanding across modalities.
961 points by meetpateltech | 469 comments
Google blog post by Sundar Pichai, Demis Hassabis and Koray Kavukcuoglu announcing Gemini 2.0, a new AI model aimed at agentic use cases.
910 points by meetpateltech | 450 comments
Google blog post announcing Gemini 2.5 Pro Experimental, a thinking model that leads common benchmarks with strong reasoning and coding capabilities.
546 points by meetpateltech | 236 comments
Google Keyword blog post by Koray Kavukcuoglu announcing Gemini 2.0 models becoming generally available to everyone, dated February 5, 2025.
361 points by bundie | 159 comments
Google for Developers blog post introducing Gemma 3n, a developer guide to Google's new on-device open model.
711 points by tosh | 415 comments
Google blog post by Sundar Pichai and Demis Hassabis announcing Gemini, Google's largest and most capable AI model, dated December 6, 2023.
1325 points by sync | 719 comments
Google's announcement of Gemini CLI, an open-source AI agent that brings Gemini models into the terminal, with its GitHub repository.
330 points by meetpateltech | 95 comments
Google blog post announcing Gemini 3, the company's new generation of its Gemini AI model family.
907 points by MallocVoidstar | 873 comments
Google Keyword blog post announcing Gemini 3.1 Pro, a new AI model designed for complex reasoning tasks.
571 points by emrah | 259 comments
Google Developers Blog post announcing Gemma 3 models trained with quantization-aware training so they can run on consumer GPUs.