<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>DeepML.news</title>
    <description>High-signal deep learning intelligence for AI scientists and engineers. Papers decoded. Models benchmarked. Industry signals distilled.</description>
    <link>https://deepml.news</link>
    <atom:link href="https://deepml.news/rss.xml" rel="self" type="application/rss+xml"/>
    <language>en-us</language>
    <lastBuildDate>Fri, 20 Jun 2026 08:00:00 +0000</lastBuildDate>
    <item>
      <title>#047: Scaling Laws Revisited: Why Chinchilla Was Wrong</title>
      <link>https://deepml.news/issues/047.html</link>
      <guid>https://deepml.news/issues/047.html</guid>
      <pubDate>Fri, 20 Jun 2026 08:00:00 +0000</pubDate>
      <description>Why Chinchilla's scaling laws were incomplete, and what the latest research tells us about optimal compute allocation for LLM training.</description>
    </item>
    <item>
      <title>#046: The Architecture After Transformers: State Space Models Go Mainstream</title>
      <link>https://deepml.news/issues/046.html</link>
      <guid>https://deepml.news/issues/046.html</guid>
      <pubDate>Fri, 13 Jun 2026 08:00:00 +0000</pubDate>
      <description>State space models are graduating from research curiosity to production alternative. What this means for the transformer-dominated landscape.</description>
    </item>
    <item>
      <title>#045: Test-Time Compute: Trading FLOPS for Accuracy at Inference</title>
      <link>https://deepml.news/issues/045.html</link>
      <guid>https://deepml.news/issues/045.html</guid>
      <pubDate>Fri, 06 Jun 2026 08:00:00 +0000</pubDate>
      <description>How spending more compute at inference time can dramatically improve model performance without retraining.</description>
    </item>
    <item>
      <title>#044: Multimodal Agents: When Vision-Language Models Learn to Act</title>
      <link>https://deepml.news/issues/044.html</link>
      <guid>https://deepml.news/issues/044.html</guid>
      <pubDate>Fri, 30 May 2026 08:00:00 +0000</pubDate>
      <description>Vision-language models are evolving from passive observers to active agents. A deep dive into the architectures making this possible.</description>
    </item>
  </channel>
</rss>
