diff --git a/packages/website/docs/Api/DistGeneric.mdx b/packages/website/docs/Api/DistGeneric.mdx
index 982af57c..e37c6f75 100644
--- a/packages/website/docs/Api/DistGeneric.mdx
+++ b/packages/website/docs/Api/DistGeneric.mdx
@@ -339,7 +339,7 @@ A log loss score. Often that often acts as a [scoring rule](https://en.wikipedia
 Note that it is fairly slow.
 
 ```
-logScore: ({estimate: distribution, ?prior: distribution, answer: distribution|number}) => number
+Dist.logScore: ({estimate: distribution, ?prior: distribution, answer: distribution|number}) => number
 ```
 
 **Examples**
diff --git a/packages/website/docs/Discussions/Future-Features.md b/packages/website/docs/Discussions/Future-Features.md
index d1b45583..6070dbba 100644
--- a/packages/website/docs/Discussions/Future-Features.md
+++ b/packages/website/docs/Discussions/Future-Features.md
@@ -23,12 +23,6 @@ Squiggle is still very early. The main first goal is to become stable. This mean
 
 ## Distribution Features
 
-`Distribution.fromSamples([])`  
-Converts a list of samples, for example, from Guesstimate, into a distribution shape. Maybe takes a list of optional parameters.
-
-`Distribution.fromCoordinates({xs, ys})`  
-Convert XY coordinates into a distribution. Figure out a good way to do this for continuous, discrete, and mixed distributions.
-
 [Metalog Distribution](https://en.wikipedia.org/wiki/Metalog_distribution)  
 Add the Metalog distribution, and some convenient methods for generating these distributions. This might be a bit tricky because we might need or build a library to fit data. There's no Metalog javascript library yet, this would be pretty useful. There's already a Metalog library in Python, so that one could be used for inspiration.
 
diff --git a/packages/website/docs/Guides/DistributionCreation.mdx b/packages/website/docs/Guides/DistributionCreation.mdx
index 95e03b7b..23a4bf0e 100644
--- a/packages/website/docs/Guides/DistributionCreation.mdx
+++ b/packages/website/docs/Guides/DistributionCreation.mdx
@@ -343,13 +343,13 @@ Creates a [triangular distribution](https://en.wikipedia.org/wiki/Triangular_dis
 
 <SquiggleEditor defaultCode="triangular(1, 2, 4)" />
 
-## FromSamples
+## FromList
 
-`fromSamples(samples:number[])`
+`SampleSet.fromList(samples:number[])`
 
 Creates a sample set distribution using an array of samples.
 
-<SquiggleEditor defaultCode="fromSamples([1,2,3,4,6,5,5,5])" />
+<SquiggleEditor defaultCode="SampleSet.fromList([1,2,3,4,6,5,5,5])" />
 
 ### Arguments
 
diff --git a/packages/website/docs/Guides/Functions.mdx b/packages/website/docs/Guides/Functions.mdx
index 56a4929c..28029651 100644
--- a/packages/website/docs/Guides/Functions.mdx
+++ b/packages/website/docs/Guides/Functions.mdx
@@ -47,7 +47,7 @@ dist1 * dist2`}
 
 We also provide concatenation of two distributions as a syntax sugar for `*`
 
-<SquiggleEditor defaultCode="(0.1 to 1) triangular(1,2,3)" />
+<SquiggleEditor defaultCode="(0.1 to 1) * triangular(1,2,3)" />
 
 ### Division
 
@@ -88,16 +88,13 @@ log(dist)`}
 />
 
 <SquiggleEditor
-  defaultCode={`dist = beta(1,2)
-log10(dist)`}
+  defaultCode={`log10(5 to 10)`}
 />
 
 Base `x`
 
 <SquiggleEditor
-  defaultCode={`x = 2
-dist = beta(2,3)
-log(dist, x)`}
+  defaultCode={`log(5 to 10, 2)`}
 />
 
 #### Validity
@@ -114,9 +111,7 @@ For every point on the x-axis, operate the corresponding points in the y axis of
 TODO: this isn't in the new interpreter/parser yet.
 
 <SquiggleEditor
-  defaultCode={`dist1 = 1 to 10
-dist2 = triangular(1,2,3)
-dist1 .+ dist2`}
+  defaultCode={`(1 to 10) .+ triangular(1,2,3)`}
 />
 
 ### Pointwise subtraction
@@ -124,33 +119,26 @@ dist1 .+ dist2`}
 TODO: this isn't in the new interpreter/parser yet.
 
 <SquiggleEditor
-  defaultCode={`dist1 = 1 to 10
-dist2 = triangular(1,2,3)
-dist1 .- dist2`}
+  defaultCode={`(1 to 10) .- triangular(1,2,3)`}
 />
 
 ### Pointwise multiplication
 
 <SquiggleEditor
-  defaultCode={`dist1 = 1 to 10
-dist2 = triangular(1,2,3)
-dist1 .* dist2`}
+  defaultCode={`(1 to 10) .* triangular(1,2,3)`}
 />
 
+
 ### Pointwise division
 
 <SquiggleEditor
-  defaultCode={`dist1 = uniform(0,20)
-dist2 = normal(10,8)
-dist1 ./ dist2`}
+  defaultCode={`(uniform(0,10)) ./ normal(10,4)`}
 />
 
 ### Pointwise exponentiation
 
 <SquiggleEditor
-  defaultCode={`dist1 = 1 to 10
-dist2 = triangular(1,2,3)
-dist1 .^ dist2`}
+  defaultCode={`(1 to 10) .^ triangular(1,2,3)`}
 />
 
 ## Standard functions on distributions