diff --git a/docs/diffusion/ddpm/index.html b/docs/diffusion/ddpm/index.html
index a199c5de..74ada1c2 100644
--- a/docs/diffusion/ddpm/index.html
+++ b/docs/diffusion/ddpm/index.html
@@ -604,7 +604,7 @@ q(x_t|x_0) &= \mathcal{N} \Big(x_t; \sqrt{\bar\alpha_t} x_0, (1-\bar\alpha_t) \m
             <div class='section-link'>
                 <a href='#section-33'>#</a>
             </div>
-            <h2>Here&rsquo;s our tweet with a summary</h2>
+            <h2>Here&rsquo;s our Twitter thread with a summary</h2>
 <p><blockquote class="twitter-tweet"><p lang="en" dir="ltr">Annotated <a href="https://twitter.com/PyTorch?ref_src=twsrc%5Etfw">@PyTorch</a> implementation of &quot;Denoising Diffusion Probabilistic Models&quot; by <a href="https://twitter.com/hojonathanho?ref_src=twsrc%5Etfw">@hojonathanho</a> <a href="https://twitter.com/ajayj_?ref_src=twsrc%5Etfw">@ajayj_</a> <a href="https://twitter.com/pabbeel?ref_src=twsrc%5Etfw">@pabbeel</a> <a href="https://twitter.com/berkeley_ai?ref_src=twsrc%5Etfw">@berkeley_ai</a><br><br>📝 Annotated code <a href="https://t.co/IxJMNQxJMa">https://t.co/IxJMNQxJMa</a><br>🖥 Github <a href="https://t.co/he5yIZZlB2">https://t.co/he5yIZZlB2</a><br>📎 Paper <a href="https://t.co/FjpamUVhLI">https://t.co/FjpamUVhLI</a><br><br>🧵👇 <a href="https://t.co/5SIZud6OnH">pic.twitter.com/5SIZud6OnH</a></p>&mdash; labml.ai (@labmlai) <a href="https://twitter.com/labmlai/status/1446676487361290240?ref_src=twsrc%5Etfw">October 9, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script></p>
         </div>
         <div class='code'>
diff --git a/labml_nn/diffusion/ddpm/__init__.py b/labml_nn/diffusion/ddpm/__init__.py
index d941431a..4a857e13 100644
--- a/labml_nn/diffusion/ddpm/__init__.py
+++ b/labml_nn/diffusion/ddpm/__init__.py
@@ -286,5 +286,5 @@ class DenoiseDiffusion:
         # MSE loss
         return F.mse_loss(noise, eps_theta)
 
-# ## Here's our tweet with a summary
+# ## Here's our Twitter thread with a summary
 # <blockquote class="twitter-tweet"><p lang="en" dir="ltr">Annotated <a href="https://twitter.com/PyTorch?ref_src=twsrc%5Etfw">@PyTorch</a> implementation of &quot;Denoising Diffusion Probabilistic Models&quot; by <a href="https://twitter.com/hojonathanho?ref_src=twsrc%5Etfw">@hojonathanho</a> <a href="https://twitter.com/ajayj_?ref_src=twsrc%5Etfw">@ajayj_</a> <a href="https://twitter.com/pabbeel?ref_src=twsrc%5Etfw">@pabbeel</a> <a href="https://twitter.com/berkeley_ai?ref_src=twsrc%5Etfw">@berkeley_ai</a><br><br>📝 Annotated code <a href="https://t.co/IxJMNQxJMa">https://t.co/IxJMNQxJMa</a><br>🖥 Github <a href="https://t.co/he5yIZZlB2">https://t.co/he5yIZZlB2</a><br>📎 Paper <a href="https://t.co/FjpamUVhLI">https://t.co/FjpamUVhLI</a><br><br>🧵👇 <a href="https://t.co/5SIZud6OnH">pic.twitter.com/5SIZud6OnH</a></p>&mdash; labml.ai (@labmlai) <a href="https://twitter.com/labmlai/status/1446676487361290240?ref_src=twsrc%5Etfw">October 9, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>