<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Synthesis on AI Science Report</title>
    <link>https://aiscience.uk/tags/synthesis/</link>
    <description>Recent content in Synthesis on AI Science Report</description>
    <generator>Hugo</generator>
    <language>en-us</language>
    <lastBuildDate>Fri, 10 Jul 2026 00:00:00 +0800</lastBuildDate>
    <atom:link href="https://aiscience.uk/tags/synthesis/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>AI vs. Human Chemist: The Lab Showdown Where Everyone Won</title>
      <link>https://aiscience.uk/posts/ai-vs-human-chemist-llm-materials-synthesis/</link>
      <pubDate>Fri, 10 Jul 2026 00:00:00 +0800</pubDate>
      <guid>https://aiscience.uk/posts/ai-vs-human-chemist-llm-materials-synthesis/</guid>
      <description>&lt;p&gt;Gregory Bassen had a simple question: could a large language model write a recipe for making a ceramic oxide that actually works in a real lab? Not in theory. Not in simulation. In a furnace, with real powders, producing a material you could hold in your hand.&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
