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    <title>reasoning models: everyone on the record — The Minutes</title>
    <link>https://minutesof.com/on/reasoning-models/</link>
    <description>Everyone on the record about reasoning models: 8 verbatim quotes from 2 people, December 2024 to August 2025, in one chronology, each with a timestamp and…</description>
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      <title>Dylan Patel: Patel reports alternative data shows reasoning models have low actual API usage despite availabil</title>
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      <description>“So this is something that I&#x27;ve found very interesting is that we&#x27;ve been trying to build a lot of alternative data sources for token usage, who&#x27;s using tokens, what models, where, etcetera, why, and it&#x27;s very clear that people aren&#x27;t actually using the reasoning models that much in API.” — Dylan Patel, No Priors: AI, Machine Learning, Tech, &amp; Startups</description>
      <pubDate>Thu, 14 Aug 2025 10:01:35 +0000</pubDate>
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      <title>Dylan Patel: Patel says reasoning capability allowing models to think before answering dramatically increased</title>
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      <description>“Right? And this has just happened in six months. And the same applies to various certain coding tasks. The same applies to yeah.” — Dylan Patel, MedBricks Webcast</description>
      <pubDate>Thu, 27 Mar 2025 13:55:08 +0000</pubDate>
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      <title>Dylan Patel: Patel says DeepSeek r one zero shows reasoning behaviors emerge naturally from RL on verifiable r</title>
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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.” — Dylan Patel, Lex Fridman</description>
      <pubDate>Mon, 03 Feb 2025 00:12:13 +0000</pubDate>
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      <title>Dylan Patel: Patel explains reasoning models dramatically increase serving costs due to long output context an</title>
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      <description>“your memory usage is going way up with these reasoning models, and you still have a lot of users. So effectively, the cost to serve multiplies by a ton.” — Dylan Patel, Lex Fridman</description>
      <pubDate>Mon, 03 Feb 2025 00:12:13 +0000</pubDate>
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      <title>Dylan Patel: Patel explains reasoning models dramatically increase memory usage and reduce batch size, multipl</title>
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      <description>“So your your memory usage is going way up with these reasoning models, and you still have a lot of users.” — Dylan Patel, Lex Fridman</description>
      <pubDate>Mon, 03 Feb 2025 00:12:13 +0000</pubDate>
      <category>reasoning models</category>
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      <title>Bill Gurley: You know, I can go from 10,000,000 to 100,000,000 to billion to $10,000,000,000 on reasoning in s</title>
      <link>https://minutesof.com/q/62ff4fe1-86c3-4195-b4f5-3a55efd51a21/</link>
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      <description>“You know, I can go from 10,000,000 to 100,000,000 to billion to $10,000,000,000 on reasoning in such a quick succession.” — Bill Gurley, Bg2 Pod</description>
      <pubDate>Mon, 23 Dec 2024 20:25:20 +0000</pubDate>
      <category>reasoning models</category>
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      <title>Bill Gurley: Gurley explains o one reasoning models cost 50x more per query due to 10x tokens and one-fifth co</title>
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      <description>“E. Concurrent users I can have is a fraction of that. One fourth to one fifth the number of users can currently use the server.” — Bill Gurley, Bg2 Pod</description>
      <pubDate>Mon, 23 Dec 2024 20:25:20 +0000</pubDate>
      <category>reasoning models</category>
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      <title>Bill Gurley: Patel describes reasoning models generating thousands of thinking tokens, sometimes switching lan</title>
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      <description>“It generates tons of things. It&#x27;s like it it sometimes switches between Chinese and English. Right? Like, whatever it is. It&#x27;s thinking. Right? It&#x27;s churning.” — Bill Gurley, Bg2 Pod</description>
      <pubDate>Mon, 23 Dec 2024 20:25:20 +0000</pubDate>
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