📄 中文摘要
在构建真正的对话式人工智能时，延迟是影响用户体验的关键因素。为了实现实时的双向交互，C-Fararoni 生态系统采用了两种独立的文本转语音（TTS）后端，均在 Metal GPU 上执行推理，但架构路径截然不同。传统的 Java 音频栈和 JNI 桥接常常引入非确定性延迟，导致交互显得机械化。为了解决这一问题，选择直接与硬件进行交互，绕过了传统的抽象层，从而提高了系统的响应速度和流畅性。
苹果硅上的主权智能：利用 Java 25 和 Panama FFM 打破微秒障碍
📄 English Summary
Sovereign Intelligence on Apple Silicon: Breaking the Microsecond Barrier with Java 25 and Panama FFM
Latency poses a significant challenge in building truly conversational AI, impacting user experience. The C-Fararoni ecosystem employs two independent text-to-speech (TTS) backends that execute inference on the Metal GPU, each with fundamentally different architectural paths. Standard Java audio stacks and JNI bridges often introduce non-deterministic delays, making real-time, full-duplex interaction feel robotic. To address this issue, the approach involves bypassing legacy abstractions to communicate directly with the hardware, enhancing the system's responsiveness and fluidity.