diff --git a/docs/blog/2023/cma-es.md b/docs/blog/2023/cma-es.md
index 6dfde3e..e48b17b 100644
--- a/docs/blog/2023/cma-es.md
+++ b/docs/blog/2023/cma-es.md
@@ -101,9 +101,11 @@ z = [f(x, y) for x in xy, y in xy]
This gives us the following surface,
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```plotly
{"file_path": "./blog/2023/CMAES/surface-truth.json"}
```
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A nice parabolic function with a global minimum at $(0,0)$. Now let's add some noise to the function, we do this with the [Distributions.jl](https://github.com/JuliaStats/Distributions.jl) package in Julia. Let's sample from a normal distribution with a mean of zero and a standard deviation of 5. The updated function is given by $f(\mathbf{x}) = \mathbf{x}^2 + \varepsilon$, where $\varepsilon \sim \mathcal{N}(0, 5)$. The updated Julia form is then
diff --git a/docs/blog/2023/github-runner.md b/docs/blog/2023/github-runner.md
index ef44841..ebe81fd 100644
--- a/docs/blog/2023/github-runner.md
+++ b/docs/blog/2023/github-runner.md
@@ -11,7 +11,10 @@ description: "Configure a self-hosted Apple M2 GitHub runner to validate the dep
In this post, I take a look at the process of creating a self-hosted ARM-based GitHub runner for CI/CD. This runner is currently being used for the development of PyBaMM and PyBOP.
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