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    <title>The Minutes of Dylan Patel on reinforcement learning</title>
    <link>https://minutesof.com/dylan-patel/on/reinforcement-learning/</link>
    <description>Everything Dylan Patel has said on reinforcement learning: 2 verbatim quotes between February 2025 and January 2026, each with a timestamp and a link to…</description>
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    <lastBuildDate>Mon, 31 Aug 2026 13:10:16 +0000</lastBuildDate>
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      <title>Patel says last year at NeurIPS was first time he focused on RL and verifiable test-time scaling research.</title>
      <link>https://minutesof.com/q/31471e07-0504-4146-832f-fac17942a8d2/</link>
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      <description>“last year was the first time I, like, stopped at a bunch of, like, RL stuff and verifiable, you know, test times, you know, sort of scaling stuff that, you know, verifiable RL stuff, all that kind of stuff.” — SAIL Media</description>
      <pubDate>Thu, 15 Jan 2026 16:46:15 +0000</pubDate>
      <category>reinforcement learning</category>
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      <title>Patel says DeepSeek r one zero shows reasoning behaviors emerge naturally from RL on verifiable rewards withou</title>
      <link>https://minutesof.com/q/31f04244-2e31-4194-a9b6-0a74afee5544/</link>
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      <description>“So it&#x27;s the remarkable thing about these reasoning results, and especially the DeepSeek r one paper, is this result that they call DeepSeek r one zero, which is they took one of these pretrained models.” — Lex Fridman</description>
      <pubDate>Mon, 03 Feb 2025 00:12:13 +0000</pubDate>
      <category>reinforcement learning</category>
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