<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>#AGI on Home</title>
    <link>https://yakinin.com/en/tags/%23agi/</link>
    <description>Recent content in #AGI on Home</description>
    <generator>Hugo -- 0.148.2</generator>
    <language>en</language>
    <lastBuildDate>Fri, 11 Apr 2025 00:00:00 +0000</lastBuildDate>
    <atom:link href="https://yakinin.com/en/tags/%23agi/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>A Mouse Brain, 1.6 Petabytes of Data, and the Path to AGI</title>
      <link>https://yakinin.com/en/posts/20250411-mouse-brain-digitization-ai/</link>
      <pubDate>Fri, 11 Apr 2025 00:00:00 +0000</pubDate>
      <guid>https://yakinin.com/en/posts/20250411-mouse-brain-digitization-ai/</guid>
      <description>&lt;div style=&#34;display: flex; justify-content: center; gap: 1em; flex-wrap: wrap;&#34;&gt;
  &lt;img src=&#34;https://yakinin.com/img/20250411-mouse-brain-digitization-ai-0.jpg&#34; style=&#34;max-width: 350px; width: 100%;&#34; /&gt;
&lt;/div&gt;
&lt;p&gt;Scientists recently digitized a single cubic millimeter of a mouse&amp;rsquo;s visual cortex, a project that generated 1.6 petabytes of data to map 84,000 neurons and half a billion synapses.&lt;/p&gt;
&lt;p&gt;To put that into perspective, the number of synapses in that tiny piece of brain tissue is comparable to the number of parameters in large-scale AI like DeepSeek or GPT models. It&amp;rsquo;s significantly more than the 29 billion parameters in a model like GigaChat. This comparison is a useful analogy for scale and complexity: just as synapses determine a brain&amp;rsquo;s processing capacity, parameters define the &amp;ldquo;power&amp;rdquo; of an AI.&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
