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acganesh · May 17, 2024 · 2b4f380 · 2b4f380
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diff --git a/docs/index.html b/docs/index.html
@@ -83,16 +83,6 @@ <h2 class="content-title">
   <p>Exploring how diffusion models work.</p>
 
 
-  <h2 class="content-title">
-
-  <a href="/posts/information_theory_kelly/">Information theory and the Kelly Criterion</a>
-
-  </h2>
-
-
-  <p>Exploring the connections between Shannon and gambling.</p>
-
-
   <h2 class="content-title">
 
   <a href="/posts/speculative_decoding/">Speculative decoding for LLM inference</a>

diff --git a/docs/index.xml b/docs/index.xml
@@ -18,15 +18,6 @@ In this post, we&amp;rsquo;ll explore how diffusion models work. This post will
 How do diffusion models work? # Diffusion models are Markov chains trained to produce samples matching the data after finite time. We start with a diffusion process that destroys the data: we apply multiple Markov chain transitions until a datapoint $\mathbf{x}_0$ gets gradually converted to noise. Diffusion models learn transitions that reverse this process.</description>
     </item>
 
-    <item>
-      <title>Information theory and the Kelly Criterion</title>
-      <link>https://acganesh.github.io/posts/information_theory_kelly/</link>
-      <pubDate>Mon, 06 May 2024 00:00:00 +0000</pubDate>
-
-      <guid>https://acganesh.github.io/posts/information_theory_kelly/</guid>
-      <description>Eventually, build up to Martingales?</description>
-    </item>
-
     <item>
       <title>Speculative decoding for LLM inference</title>
       <link>https://acganesh.github.io/posts/speculative_decoding/</link>

diff --git a/docs/posts/diffusion/index.html b/docs/posts/diffusion/index.html
@@ -79,7 +79,7 @@ <h1 id="how-do-diffusion-models-work">
 
 <div class="previous-post" style="display:inline-block;">
 
-  <a class="link-reverse" href="https://acganesh.github.io/posts/information_theory_kelly/?ref=footer">« Information theory and the Kelly Criterion</a>
+  <a class="link-reverse" href="https://acganesh.github.io/posts/speculative_decoding/?ref=footer">« Speculative decoding for LLM inference</a>
 
 </div>
 

diff --git a/docs/posts/index.html b/docs/posts/index.html
@@ -76,10 +76,10 @@ <h1 class="content-title">Posts</h1></section>
 <section class="list-page">
 
   <ul>
-  <li class="year">2024 (2)</li>
+  <li class="year">2024 (1)</li>
 
     <ul>
-    <li>May (2)</li>
+    <li>May (1)</li>
 
       <ul>
       <li>
@@ -88,13 +88,6 @@ <h1 class="content-title">Posts</h1></section>
       </li>
       </ul>
 
-      <ul>
-      <li>
-        <span class="list-date">May 6 &middot;</span>
-        <a href="/posts/information_theory_kelly/">Information theory and the Kelly Criterion</a>
-      </li>
-      </ul>
-
     </li>
     </ul>
 

diff --git a/docs/posts/index.xml b/docs/posts/index.xml
@@ -18,15 +18,6 @@ In this post, we&amp;rsquo;ll explore how diffusion models work. This post will
 How do diffusion models work? # Diffusion models are Markov chains trained to produce samples matching the data after finite time. We start with a diffusion process that destroys the data: we apply multiple Markov chain transitions until a datapoint $\mathbf{x}_0$ gets gradually converted to noise. Diffusion models learn transitions that reverse this process.</description>
     </item>
 
-    <item>
-      <title>Information theory and the Kelly Criterion</title>
-      <link>https://acganesh.github.io/posts/information_theory_kelly/</link>
-      <pubDate>Mon, 06 May 2024 00:00:00 +0000</pubDate>
-
-      <guid>https://acganesh.github.io/posts/information_theory_kelly/</guid>
-      <description>Eventually, build up to Martingales?</description>
-    </item>
-
     <item>
       <title>Speculative decoding for LLM inference</title>
       <link>https://acganesh.github.io/posts/speculative_decoding/</link>

diff --git a/docs/posts/speculative_decoding/index.html b/docs/posts/speculative_decoding/index.html
@@ -174,7 +174,7 @@ <h2 id="proof-of-correctness">
 
 <div class="next-post", style="display:inline-block;float:right;">
 
-  <a class="link-reverse" href="https://acganesh.github.io/posts/information_theory_kelly/?ref=footer">Information theory and the Kelly Criterion »</a>
+  <a class="link-reverse" href="https://acganesh.github.io/posts/diffusion/?ref=footer">An introduction to diffusion models »</a>
 
 </div>
 

diff --git a/docs/sitemap.xml b/docs/sitemap.xml
@@ -10,9 +10,6 @@
   </url><url>
     <loc>https://acganesh.github.io/posts/</loc>
     <lastmod>2024-05-16T00:00:00+00:00</lastmod>
-  </url><url>
-    <loc>https://acganesh.github.io/posts/information_theory_kelly/</loc>
-    <lastmod>2024-05-06T00:00:00+00:00</lastmod>
   </url><url>
     <loc>https://acganesh.github.io/posts/speculative_decoding/</loc>
     <lastmod>2023-11-07T00:00:00+00:00</lastmod>

diff --git a/site/content/posts/.speculative_decoding.md.swp b/site/content/posts/.speculative_decoding.md.swp
diff --git a/site/content/posts/information_theory_kelly.md b/site/content/posts/information_theory_kelly.md
diff --git a/site/public/index.html b/site/public/index.html
@@ -83,16 +83,6 @@ <h2 class="content-title">
   <p>Exploring how diffusion models work.</p>
 
 
-  <h2 class="content-title">
-
-  <a href="/posts/information_theory_kelly/">Information theory and the Kelly Criterion</a>
-
-  </h2>
-
-
-  <p>Exploring the connections between Shannon and gambling.</p>
-
-
   <h2 class="content-title">
 
   <a href="/posts/speculative_decoding/">Speculative decoding for LLM inference</a>

diff --git a/site/public/index.xml b/site/public/index.xml
@@ -18,15 +18,6 @@ In this post, we&amp;rsquo;ll explore how diffusion models work. This post will
 How do diffusion models work? # Diffusion models are Markov chains trained to produce samples matching the data after finite time. We start with a diffusion process that destroys the data: we apply multiple Markov chain transitions until a datapoint $\mathbf{x}_0$ gets gradually converted to noise. Diffusion models learn transitions that reverse this process.</description>
     </item>
 
-    <item>
-      <title>Information theory and the Kelly Criterion</title>
-      <link>https://acganesh.github.io/posts/information_theory_kelly/</link>
-      <pubDate>Mon, 06 May 2024 00:00:00 +0000</pubDate>
-
-      <guid>https://acganesh.github.io/posts/information_theory_kelly/</guid>
-      <description>Eventually, build up to Martingales?</description>
-    </item>
-
     <item>
       <title>Speculative decoding for LLM inference</title>
       <link>https://acganesh.github.io/posts/speculative_decoding/</link>

diff --git a/site/public/posts/diffusion/index.html b/site/public/posts/diffusion/index.html
@@ -79,7 +79,7 @@ <h1 id="how-do-diffusion-models-work">
 
 <div class="previous-post" style="display:inline-block;">
 
-  <a class="link-reverse" href="https://acganesh.github.io/posts/information_theory_kelly/?ref=footer">« Information theory and the Kelly Criterion</a>
+  <a class="link-reverse" href="https://acganesh.github.io/posts/speculative_decoding/?ref=footer">« Speculative decoding for LLM inference</a>
 
 </div>
 

diff --git a/site/public/posts/index.html b/site/public/posts/index.html
@@ -76,10 +76,10 @@ <h1 class="content-title">Posts</h1></section>
 <section class="list-page">
 
   <ul>
-  <li class="year">2024 (2)</li>
+  <li class="year">2024 (1)</li>
 
     <ul>
-    <li>May (2)</li>
+    <li>May (1)</li>
 
       <ul>
       <li>
@@ -88,13 +88,6 @@ <h1 class="content-title">Posts</h1></section>
       </li>
       </ul>
 
-      <ul>
-      <li>
-        <span class="list-date">May 6 &middot;</span>
-        <a href="/posts/information_theory_kelly/">Information theory and the Kelly Criterion</a>
-      </li>
-      </ul>
-
     </li>
     </ul>
 

diff --git a/site/public/posts/index.xml b/site/public/posts/index.xml
@@ -18,15 +18,6 @@ In this post, we&amp;rsquo;ll explore how diffusion models work. This post will
 How do diffusion models work? # Diffusion models are Markov chains trained to produce samples matching the data after finite time. We start with a diffusion process that destroys the data: we apply multiple Markov chain transitions until a datapoint $\mathbf{x}_0$ gets gradually converted to noise. Diffusion models learn transitions that reverse this process.</description>
     </item>
 
-    <item>
-      <title>Information theory and the Kelly Criterion</title>
-      <link>https://acganesh.github.io/posts/information_theory_kelly/</link>
-      <pubDate>Mon, 06 May 2024 00:00:00 +0000</pubDate>
-
-      <guid>https://acganesh.github.io/posts/information_theory_kelly/</guid>
-      <description>Eventually, build up to Martingales?</description>
-    </item>
-
     <item>
       <title>Speculative decoding for LLM inference</title>
       <link>https://acganesh.github.io/posts/speculative_decoding/</link>

diff --git a/site/public/posts/speculative_decoding/index.html b/site/public/posts/speculative_decoding/index.html
@@ -174,7 +174,7 @@ <h2 id="proof-of-correctness">
 
 <div class="next-post", style="display:inline-block;float:right;">
 
-  <a class="link-reverse" href="https://acganesh.github.io/posts/information_theory_kelly/?ref=footer">Information theory and the Kelly Criterion »</a>
+  <a class="link-reverse" href="https://acganesh.github.io/posts/diffusion/?ref=footer">An introduction to diffusion models »</a>
 
 </div>
 

diff --git a/site/public/sitemap.xml b/site/public/sitemap.xml
@@ -10,9 +10,6 @@
   </url><url>
     <loc>https://acganesh.github.io/posts/</loc>
     <lastmod>2024-05-16T00:00:00+00:00</lastmod>
-  </url><url>
-    <loc>https://acganesh.github.io/posts/information_theory_kelly/</loc>
-    <lastmod>2024-05-06T00:00:00+00:00</lastmod>
   </url><url>
     <loc>https://acganesh.github.io/posts/speculative_decoding/</loc>
     <lastmod>2023-11-07T00:00:00+00:00</lastmod>
-Original file line number
+Diff line change
@@ Expand Up / @@ -79,7 +79,7 @@ <h1 id="how-do-diffusion-models-work"> @@
     <div class="previous-post" style="display:inline-block;">
-      <a class="link-reverse" href="https://acganesh.github.io/posts/information_theory_kelly/?ref=footer">« Information theory and the Kelly Criterion</a>
+      <a class="link-reverse" href="https://acganesh.github.io/posts/speculative_decoding/?ref=footer">« Speculative decoding for LLM inference</a>
     </div>
@@ Expand Down @@