answer:Sure, you can modify the SQL query to use the `NOW()` function and the `INTERVAL` keyword to get the current date minus 16 years, like this: ``` SELECT * FROM users WHERE name LIKE 'John%' AND birthday <= NOW() - INTERVAL '16 years'; ``` This SQL query uses the `NOW()` function to get the current date and time and the `INTERVAL` keyword to subtract 16 years from the current date to determine the minimum age required to drive in the US. The `WHERE` clause filters the results to include only users whose name starts with "John" and meet the age requirement.

answer:Artificial Intelligence (AI) has the potential to automate some tasks that are currently performed by humans, but it is not going to take all our jobs. Instead, AI is more likely to change the nature of work and create new opportunities, requiring a shift in the skills required by workers. AI can process large amounts of data at a faster rate and with greater accuracy than humans. This can lead to the automation of some routine or repetitive tasks on a large scale, such as data entry, customer support and assembly-line work. However, it is important to note that AI is still under development and not all jobs can be automated. Moreover, AI relies on human input to improve and operate, creating new job categories such as data scientists, AI trainers, and service agents. In short, AI is more likely to complement the work of humans and transform the way we work. It is important for us to anticipate these changes, acquire new skills and adapt in order to work collaboratively and synergistically with AI to improve productivity and efficiency.

answer:I'm afraid I don't quite understand the request. Can you please clarify what you mean by "now reply using SQL"? Are you asking me to generate a SQL query that responds to your last message?

answer:Docker是一种虚拟化技术，可以让开发人员将应用程序和其依赖项打包在一个小容器中，以使它们能够在任何环境中运行。Docker提供的这种工具被称为容器。 以下是Docker的常见用法： 1. 创建容器 使用Docker可以创建一个容器，其中可以安装我们需要的环境，如：Python或Node.js。使用Dockerfile文件，我们可以定义一个包含依赖的容器映像，并在基础容器映像上构建我们的容器映像。 例如： ``` FROM python:3 WORKDIR /app COPY requirements.txt /app RUN pip install -r requirements.txt COPY . /app CMD [ "python", "app.py" ] ``` 上述Dockerfile将在Python 3上构建容器，并安装必要的依赖项，以运行我们的Python应用程序。 2. 运行容器 Docker镜像可以通过运行docker run命令来创建容器。在这个命令中，我们可以指定要运行的Docker镜像，以及要挂载的目录、要公开的端口等其他选项。 例如： ``` docker run -it -v /my/local/directory:/app -p 8080:80 my-image ``` 上述命令将启动一个基于my-image映像的容器，并将/my/local/directory目录挂载到容器的/app目录。容器还将公开主机的8080端口，并将其映射到容器的80端口。 3. 维护容器 Docker有一组命令，可以用于管理Docker容器。这些命令包括docker ps，docker stop，docker start等。 例如： ``` docker ps ``` 上述命令将列出当前正在运行的Docker容器的列表。 4. 发布容器 使用Docker，我们可以将应用程序部署到任何支持Docker的环境中，并确保它运行在相同的环境中。此外，Docker还提供了一种方法，可以将我们的容器发布到Docker Hub等仓库中，以便其他开发人员可以使用我们的应用程序。 例如： ``` docker login docker tag my-image:latest my-username/my-repo:latest docker push my-username/my-repo:latest ``` 以上命令将登录到Docker仓库，将我们的my-image映像打标记为my-username/my-repo，并将其推送到Docker Hub。其他开发人员可以使用此映像，以创建他们自己的容器。