Google has announced the release of two significant products: Nano Banana 2 Lite, touted as the fastest and most affordable Gemini Image model, and Gemini Omni Flash, which is now accessible through the Gemini API and in Google AI Studio. These tools aim to assist developers in generating and editing high-quality videos, enhancing their capabilities in video content creation.
Google Announces Major Releases: Nano Banana 2 Lite and Gemini Omni Flash for Developers
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Introducing Agents-A1: A 35B Agentic Model Achieving Trillion-Parameter Performance
Researchers have unveiled Agents-A1, a 35 billion parameter Mixture-of-Experts model that achieves performance levels comparable to trillion-parameter models by focusing on agent horizon scaling. The study explores two main aspects: extending long-horizon trajectories and enhancing the abilities of heterogeneous agents. The team developed a long-horizon knowledge-action infrastructure that integrates external knowledge with actions and observations, producing agentic trajectories averaging 45,000 tokens. Agents-A1 was trained using a three-stage approach, including full-domain supervised fine-tuning, domain-level teacher models for specialized expertise, and a novel multi-teacher domain-routed on-policy distillation method. The model has demonstrated superior performance on several long-horizon agent benchmarks, outperforming notable models like Kimi-K2.6 and DeepSeek-V4-pro across various metrics, and aims to offer a practical solution for scaling agent performance.
