diff --git a/README.md b/README.md
index 7d2657894c..308aa1d503 100644
--- a/README.md
+++ b/README.md
@@ -209,9 +209,7 @@ gr.Interface(classify_image, "image", "label").launch(share=True)
 
 This generates a public, shareable link that you can send to anybody! When you send this link, the user on the other side can try out the model in their browser. Because the processing happens on your device (as long as your device stays on!), you don't have to worry about any dependencies. If you're working out of colab notebook, a share link is always automatically created. It usually looks something like this:  **XXXXX.gradio.app**. Although the link is served through a gradio link, we are only a proxy for your local server, and do not store any data sent through the interfaces.
 
-Keep in mind, however, that these links are publicly accessible, meaning that anyone can use your model for prediction! Therefore, make sure not to expose any sensitive information through the functions you write, or allow any critical changes to occur on your device. If you set `share=False` (the default), only a local link is created, which can be shared by  [port-forwarding](https://www.ssh.com/ssh/tunneling/example)  with specific users.
-
-Share links expire after 6 hours.
+Keep in mind, however, that these links are publicly accessible, meaning that anyone can use your model for prediction! Therefore, make sure not to expose any sensitive information through the functions you write, or allow any critical changes to occur on your device. If you set `share=False` (the default), only a local link is created, which can be shared by  [port-forwarding](https://www.ssh.com/ssh/tunneling/example)  with specific users. Share links expire after 24 hours and are not designed for permanent hosting.
 
 ![Sharing diagram](demo/images/sharing.svg)