Artificial intelligence is evolving from a mere "Q&A machine" into an "action-oriented" system that can directly control computers. On June 25, Google officially launched the new Gemini 3.5 Flash model, whose core highlight lies in deep optimization of "computer use" capabilities, aiming to allow AI to take over computer interfaces and independently complete complex cross-software workflows.
This update marks a significant shift in the positioning of Gemini. Traditional AI models mostly remain at text generation and information retrieval, while Gemini 3.5 Flash has been granted more "task delegation" permissions. It not only demonstrates strong task handling capabilities in professional fields such as programming and research, but also acts as an active agent in complex operational environments. Official benchmark tests show that the model's performance in coding tasks and autonomous agent tasks has surpassed the 3.1 Pro version, and it has achieved significant improvements in response speed, perfectly matching high-frequency interaction scenarios such as automated office work and tool invocation.
In practical applications, the performance of Gemini 3.5 Flash is remarkable. It can handle complex, chain-like tasks, such as independently completing system building from scratch or managing complicated research projects. Through deep optimization of the Flash architecture, Google has ensured high-quality responses while pushing the model's operating speed to new heights, making AI agents more smooth in handling ongoing tasks and minimizing the need for human involvement as much as possible.
Currently, this technology is fully integrated into Google's ecosystem. The AI mode in Gemini apps and search now defaults to this model, and developers can also call relevant capabilities through the Gemini API or enterprise tools. In addition, Google has announced that the new personal AI agent, Gemini Spark, will also be powered by this model, further advancing the process of AI-assisted task automation.
