<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>3Wheels AI blog</title>
    <link>https://3wheels.ai/blog</link>
    <description>Field notes, research and opinions from the 3Wheels AI team on codebase licensing, healthcare data, physical AI, speech and the craft of human data.</description>
    <language>en</language>
    <atom:link href="https://3wheels.ai/blog/feed.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Why private production codebases are the next frontier for coding models</title>
      <link>https://3wheels.ai/blog/codebase-data-frontier</link>
      <guid isPermaLink="true">https://3wheels.ai/blog/codebase-data-frontier</guid>
      <category>Codebase Data</category>
      <description>Public GitHub has been scraped to exhaustion. The next leap in coding-model quality comes from licensed, production-grade private repositories, with tests, reviews and real bug history attached.</description>
      <pubDate>Tue, 01 Sep 2026 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>Building healthcare datasets that survive regulatory scrutiny</title>
      <link>https://3wheels.ai/blog/healthcare-data-scrutiny</link>
      <guid isPermaLink="true">https://3wheels.ai/blog/healthcare-data-scrutiny</guid>
      <category>Healthcare AI</category>
      <description>De-identification is the floor, not the ceiling. What separates usable clinical data from a compliance liability is provenance: informed consent, patient-level linkage, and documented handling at every step.</description>
      <pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>Physical AI needs the real world, not just simulation</title>
      <link>https://3wheels.ai/blog/physical-ai-sensor-data</link>
      <guid isPermaLink="true">https://3wheels.ai/blog/physical-ai-sensor-data</guid>
      <category>Physical AI</category>
      <description>Sim-to-real transfer keeps hitting the same wall: the long tail of reality. Egocentric video, multi-sensor rigs, and real environments are how robotics foundation models close the gap.</description>
      <pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>Post-training is where models are won</title>
      <link>https://3wheels.ai/blog/post-training-rlhf</link>
      <guid isPermaLink="true">https://3wheels.ai/blog/post-training-rlhf</guid>
      <category>Post-Training</category>
      <description>Pre-training decides what a model knows; post-training decides what it is like to use. Preference data, expert demonstrations, and adversarial evaluation are the highest-leverage data you can buy.</description>
      <pubDate>Wed, 01 Jul 2026 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>Nine Indian languages, 37,000+ hours: inside our speech pipeline</title>
      <link>https://3wheels.ai/blog/indic-speech-pipeline</link>
      <guid isPermaLink="true">https://3wheels.ai/blog/indic-speech-pipeline</guid>
      <category>Conversational AI</category>
      <description>Hindi, Bengali, Marathi, Malayalam, Tamil, Gujarati, Kannada, Telugu, and Indian English: real conversational audio at a scale that makes voice AI actually work for a billion speakers.</description>
      <pubDate>Wed, 01 Jul 2026 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>Domain experts beat crowd labeling. Every time</title>
      <link>https://3wheels.ai/blog/annotation-domain-experts</link>
      <guid isPermaLink="true">https://3wheels.ai/blog/annotation-domain-experts</guid>
      <category>Data Annotation</category>
      <description>The cost difference between a generalist labeler and a trained specialist is small. The quality difference compounds through every epoch of training.</description>
      <pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate>
    </item>
  </channel>
</rss>
