豆包大模型 1.8 发布，通用 Agent 模型成为了 AI 行业的新叙事

Core Insights - The AI industry in 2025 is focusing on the core narrative of model capabilities, particularly in supporting agents, coding abilities, and effective tool usage, moving beyond mere leaderboard scores to real-world task performance as a new standard for evaluation [2][10] - ByteDance's newly released Doubao model 1.8 enhances agent support capabilities, including coding and tool usage, and introduces an imaginative scenario with OS Agent [4][11] - The introduction of visual capabilities in agents allows them to understand and interact with the world, which is crucial for assisting with complex real-world tasks [8][16] Model Development - Current model advancements are not limited to text-based models; they now include enhanced visual capabilities, allowing models to "see" and comprehend the world [7][10] - Doubao 1.8 combines LLM and VLM capabilities from the outset, achieving significant improvements in visual understanding and maintaining reasoning performance [8][10] - The Doubao model's ability to catch up with the Gemini series in a short time indicates a consensus among foundational model companies regarding the future development of models [10] Agent Capabilities - The emergence of OS Agent has sparked a wave of entrepreneurship in AI agents, with a focus on the reliability of tool invocation becoming a key concern for developers [11][12] - Doubao 1.8 significantly enhances the ability of agents to use tools, which is a common focus among recently released models [12][13] - The core capability of Doubao 1.8 is its OS Agent, which allows it to "see" and interact directly with interfaces, unlocking new use cases [14][16] Evaluation Systems - The evaluation of models is shifting from traditional benchmarks to real-world applications, emphasizing user experience and the ability to perform complex tasks that reflect actual user needs [29][32] - Doubao 1.8's evaluation system prioritizes real-world scenarios and aims to advance general intelligence while ensuring practical usability [35][36] - The challenges of customer service scenarios highlight the complexity of real-world tasks, which require high accuracy and emotional intelligence, showcasing the potential for AI to enhance user experiences [36][40]