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    <title>The Minutes of Bill Gurley on llm</title>
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    <description>Everything Bill Gurley has said on llm: 10 verbatim quotes between February 2024 and July 2026, each with a timestamp and a link to the recording it came…</description>
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      <title>And I mean so at this recent TED, I just went to Neil Cotyal who argued the supreme court case on the tariffs</title>
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      <description>“And I mean so at this recent TED, I just went to Neil Cotyal who argued the supreme court case on the tariffs and won.” — Jackson Square Ventures Book Club</description>
      <pubDate>Wed, 08 Jul 2026 23:30:51 +0000</pubDate>
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      <title>Gurley identifies parameter count ceiling as key scaling law constraint where adding variables stops adding va</title>
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      <description>“But when you take the variables up to a certain level, they they they it stops adding value. You just get too close to the fit.” — BG2 Pod</description>
      <pubDate>Thu, 21 Nov 2024 19:09:14 +0000</pubDate>
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      <title>Gurley says if scaling laws are hitting limits it has implications but doesn&#x27;t mean AI is done.</title>
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      <description>“if the the comment, you know, that you read earlier is true and that these and that they&#x27;re not getting the benefit, there are implications.” — BG2 Pod</description>
      <pubDate>Thu, 21 Nov 2024 19:09:14 +0000</pubDate>
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      <title>Gurley argues LLMs alone won&#x27;t be winners without durable differentiation enabling monopoly-like pricing.</title>
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      <description>“I&#x27;m not sure that LLMs, like, if that&#x27;s all you have going for you, I&#x27;m not sure that&#x27;s going to be the winner.” — BG2 Pod</description>
      <pubDate>Thu, 04 Apr 2024 17:20:29 +0000</pubDate>
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      <title>Gurley argues that investing in an index of LLMs may not be successful despite early stage AI demand.</title>
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      <description>“if you&#x27;re building an index of LLMs, it may not be a very successful investment approach.” — BG2 Pod</description>
      <pubDate>Thu, 04 Apr 2024 17:20:29 +0000</pubDate>
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      <title>Gurley says LLM switching costs rate around two out of 100, showing extremely high promiscuity among models.</title>
      <link>https://minutesof.com/q/d4b98aac-1eff-4456-a957-ab2224e6fc2b/</link>
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      <description>“And the per promiscuity Mhmm. Is unbelievably high. Another way of saying that, one one of the things that leads to high valuation multiples is switching cost.” — BG2 Pod</description>
      <pubDate>Thu, 21 Mar 2024 21:32:49 +0000</pubDate>
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      <title>Gurley rates LLM switching costs at two out of 100, calling it remarkably low.</title>
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      <description>“if you were to rate these LLMs on their switching cost with zero maybe being none and a 100 being perfect, I&#x27;d say they&#x27;re two. Yes. Like, it&#x27;s remarkably low.” — BG2 Pod</description>
      <pubDate>Thu, 21 Mar 2024 21:32:49 +0000</pubDate>
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      <title>Gurley explains AI memory requires nightly retraining per user at prohibitive cost since current models only t</title>
      <link>https://minutesof.com/q/9287fcf0-d686-43a2-a726-ce7052ef5670/</link>
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      <description>“Right now it&#x27;s trained on the internet. It&#x27;s regurgitating the internet. It&#x27;s not training on everything in your database.” — BG2 Pod</description>
      <pubDate>Thu, 22 Feb 2024 12:20:31 +0000</pubDate>
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      <title>Gurley identifies long-term memory as a major unsolved AI problem preventing true personal assistant capabilit</title>
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      <description>“And I mean, remember over five years, ten years to really become a personal assistant kind of thing that her represented.” — BG2 Pod</description>
      <pubDate>Thu, 08 Feb 2024 19:35:00 +0000</pubDate>
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      <title>Gurley explains personalized AI memory requires rebuilding models per user, which is economically unfeasible.</title>
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      <description>“And it&#x27;s because you&#x27;d have to redo the model for each human. And of course that makes no sense economically.” — BG2 Pod</description>
      <pubDate>Thu, 08 Feb 2024 19:35:00 +0000</pubDate>
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