The piece reflects on the long journey of vocal computing, highlighting how, despite decades of promises, we still haven't achieved seamless voice interaction with computers. The author, a veteran tech journalist, recalls his early experiences with voice technology and details how major players like Apple missed the mark with Siri. After a promising launch in 2011, Siri's evolution fell flat, failing to meet user expectations year after year. Meanwhile, Amazon's Alexa gained traction by offering a more effective strategy, but even that didn’t evolve much beyond basic tasks like setting timers or playing music. The turning point appears to be the rise of advanced AI and machine learning, particularly with the advent of large language models (LLMs) like OpenAI's ChatGPT. These models have significantly improved the underlying technology that powers voice assistants, making them more capable and responsive. However, the author emphasizes that the user interface remains a crucial barrier. Voice interaction is often secondary in AI services, which are primarily designed for text-based input. While recent advancements in AI have improved the capabilities of voice assistants, they still lack the intuitive interface needed to make voice computing truly effective. The article notes a renewed interest in voice technology, with companies like OpenAI and Google investing in hardware and software aimed at creating more user-friendly voice interfaces. The emergence of new devices designed specifically for voice interaction suggests a shift in focus. Innovations like Alexa+ and Google's Gemini indicate that these companies are finally ready to leverage AI advancements to deliver a more functional vocal computing experience. The author expresses cautious optimism that, this time, the technology might finally catch up with the vision of seamless voice interaction.