diff --git a/README.md b/README.md
index fe0b243..f3ac5c9 100644
--- a/README.md
+++ b/README.md
@@ -33,8 +33,6 @@ This code should aim to be correct, then simple, then fast.
 
 Note that being terse, or avoiding verbosity, is a non-goal. This is in part because of the constraints that C imposes. But it also aids with clarity and conceptual simplicity, as the issue of correlated samples illustrates in the next section.
 
-Caveats: Parallelism might hide monsters. The histogram function is pretty but was created with the aid of GPT, and so might have errors.
-
 ## Getting started 
 
 Download squiggle.c, for instance: 
@@ -260,7 +258,7 @@ double sample_model(uint64_t* seed){
 
 ```
 # When compiling:
-gcc -std=c99 -Wall -O3 example.c squiggle.c squiggle_more.c -lm -o ./example
+$ gcc -std=c99 -Wall -O3 example.c squiggle.c squiggle_more.c -lm -o ./example
 
 ```
 
diff --git a/squiggle_more.c b/squiggle_more.c
index 8e3898b..a3b34ab 100644
--- a/squiggle_more.c
+++ b/squiggle_more.c
@@ -229,7 +229,6 @@ void array_print_stats(double xs[], int n)
 void array_print_histogram(double* xs, int n_samples, int n_bins)
 {
     // Interface inspired by <https://github.com/red-data-tools/YouPlot>
-    // Generated with the help of an llm; there might be subtle off-by-one errors
     if (n_bins <= 1) {
         fprintf(stderr, "Number of bins must be greater than 1.\n");
         return;