对于人工智能，我相信大家第一次接触到的可能都是siri，2016年6月13日，在苹果开发者大会 WWDC 发布了产品Siri的新功能。
For artificial intelligence, I believe that the first time you come into contact with Siri may be Siri, on June 13, 2016, at the Apple developer conference WWDC, the new product Siri was released.
在当时，可以说手机的跨时代是由Iphone4所引领的，Siri也在当时被添加进入IOS系统里作为伴生功能存在至今
那时候，人工智能这项技术还不是很成熟。只能做到基础的对话，不像现在能使用Siri来玩简易小游戏。
At that time, it can be said that the cross-era of mobile phones was led by the Iphone4, and Siri was added to the IOS system at that time as a companion function that still exists today
而如今，Siri的功能也在更新中逐渐完善，人工智能这项技术的开发也愈加成熟。
Now, Siri's functions are gradually improving in the process of updating, and the development of artificial intelligence technology is becoming more and more mature.
这是Siri如今能做到的基础功能
This is a basic feature that Siri can do today
事实上，Siri 自身的血统和各种能力在语音助手中名列前茅，可能是因为他们被冷落了，所以没有人关心一些细节。感觉苹果发布Siri有点为时过早，导致用户还没有完全习惯语音助手帮助完成任务的节奏，无法养成习惯。而把像Siri这样的语音控制程序放在手机上作为语音交互的入口，原来目前还没有手机厂商能玩这个东西。Siri缺乏深度学习能力，如果苹果在她身上加上这个能力，它可能就能瞬间赢得用户的心。另外，从Siri目前的情况来看，它的空间不在手机上，智能家居语言助手是一个不错的场景，或许苹果会考虑在这部分下功夫。拆拆重建有点荒谬，升级深度学习靠谱
In fact, Siri's own pedigree and various abilities are among the best among voice assistants, probably because they were left out in the cold, so no one cares about some details. It feels like Apple's release of Siri is a bit premature, resulting in users who are not yet fully accustomed to the rhythm of voice assistants helping to complete tasks, and they are not able to develop habits. And put a voice control program like Siri on the phone as an entrance to voice interaction, it turns out that no mobile phone manufacturer can play this thing at present. Siri lacks deep learning capabilities, and if Apple had added this capability to her, it might have been able to win users' hearts in an instant. In addition, judging from Siri's current situation, its space is not on the phone, and the smart home language assistant is a good scenario, perhaps Apple will consider making efforts in this part. Tearing down and rebuilding is a bit ridiculous, and it is reliable to upgrade the deep learning capability on the existing technology.