diff --git a/README.Rmd b/README.Rmd
index 8c457f12..b8ab4d9c 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -24,7 +24,7 @@ knitr::opts_chunk$set(
 
 The goal of readr is to provide a fast and friendly way to read rectangular data from delimited files, such as comma-separated values (CSV) and tab-separated values (TSV).
 It is designed to parse many types of data found in the wild, while providing an informative problem report when parsing leads to unexpected results.
-If you are new to readr, the best place to start is the [data import chapter](https://r4ds.had.co.nz/data-import.html) in R for Data Science.
+If you are new to readr, the best place to start is the [data import chapter](https://r4ds.hadley.nz/data-import) in R for Data Science.
 
 ## Installation
 
diff --git a/README.md b/README.md
index e1fd57bd..82a2540f 100644
--- a/README.md
+++ b/README.md
@@ -20,7 +20,7 @@ rectangular data from delimited files, such as comma-separated values
 of data found in the wild, while providing an informative problem report
 when parsing leads to unexpected results. If you are new to readr, the
 best place to start is the [data import
-chapter](https://r4ds.had.co.nz/data-import.html) in R for Data Science.
+chapter](https://r4ds.hadley.nz/data-import) in R for Data Science.
 
 ## Installation
 
@@ -52,14 +52,16 @@ readr is part of the core tidyverse, so you can load it with:
 
 ``` r
 library(tidyverse)
-#> ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ──
-#> ✔ ggplot2 3.4.1          ✔ purrr   1.0.1     
-#> ✔ tibble  3.2.0          ✔ dplyr   1.1.0     
-#> ✔ tidyr   1.3.0          ✔ stringr 1.5.0     
-#> ✔ readr   2.1.4.9000     ✔ forcats 1.0.0     
+#> ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
+#> ✔ dplyr     1.1.3          ✔ readr     2.1.4.9000
+#> ✔ forcats   1.0.0          ✔ stringr   1.5.0     
+#> ✔ ggplot2   3.4.3          ✔ tibble    3.2.1     
+#> ✔ lubridate 1.9.2          ✔ tidyr     1.3.0     
+#> ✔ purrr     1.0.2          
 #> ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
 #> ✖ dplyr::filter() masks stats::filter()
 #> ✖ dplyr::lag()    masks stats::lag()
+#> ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
 ```
 
 Of course, you can also load readr as an individual package: