<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>The Minutes of Chamath Palihapitiya on ai</title>
    <link>https://minutesof.com/chamath-palihapitiya/on/ai/</link>
    <description>Everything Chamath Palihapitiya has said on AI: 22 verbatim quotes between July 2026 and August 2026, each with a timestamp and a link to the recording it…</description>
    <language>en</language>
    <lastBuildDate>Sun, 30 Aug 2026 16:22:37 +0000</lastBuildDate>
    <atom:link href="https://minutesof.com/chamath-palihapitiya/on/ai/feed.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Palihapitiya argues greatest AI margins will eventually flow to those closest to end users</title>
      <link>https://minutesof.com/q/f8c9c9f3-c6c0-4a65-8214-5b6c7ac4484f/</link>
      <guid isPermaLink="true">https://minutesof.com/q/f8c9c9f3-c6c0-4a65-8214-5b6c7ac4484f/</guid>
      <description>“We know from the desktop and Internet eras that the economics started similarly and then flipped - the greatest margins were ultimately from those closest to the end user. 

The question is not if this will happen again in AI but when. https://t.co/O8wFcJ6Dj1” — X</description>
      <pubDate>Wed, 26 Aug 2026 16:31:34 +0000</pubDate>
      <category>ai</category>
    </item>
    <item>
      <title>Palihapitiya compares AI to typewriter, says it accelerates differentiation between good and bad writers</title>
      <link>https://minutesof.com/q/e212770c-a22b-4ba0-982b-90f182e33181/</link>
      <guid isPermaLink="true">https://minutesof.com/q/e212770c-a22b-4ba0-982b-90f182e33181/</guid>
      <description>“@Icanonlyraz Moving from pen and paper to a typewriter only accelerated the differentiation between good and bad writers not diminish it. Helps get you to your desired destination faster. 

Slop is still slop. 

Over time, there will be fewer repetitive AI flourishes that stand out. And your” — X</description>
      <pubDate>Tue, 25 Aug 2026 17:35:49 +0000</pubDate>
      <category>ai</category>
    </item>
    <item>
      <title>Palihapitiya predicts today&#x27;s chips become mediocre when agents write kernels and new architectures</title>
      <link>https://minutesof.com/q/f6e600d3-e9b2-4c29-956e-f02fc1a265e5/</link>
      <guid isPermaLink="true">https://minutesof.com/q/f6e600d3-e9b2-4c29-956e-f02fc1a265e5/</guid>
      <description>“@jacobpeake wow. this is super super good. thank you for writing this. 

one thought:

what happens when agents start writing the kernels and new model architectures keep appearing?

I think a lot of today’s chips become meh. they were designed by humans for humans. 

brute-force approaches” — X</description>
      <pubDate>Sun, 23 Aug 2026 15:56:24 +0000</pubDate>
      <category>ai</category>
    </item>
    <item>
      <title>Palihapitiya says Global 2000 earnings growth has zero to do with AI despite token consumption</title>
      <link>https://minutesof.com/q/a69a151d-e8fd-42cd-b8bf-71dbf5c7c59e/</link>
      <guid isPermaLink="true">https://minutesof.com/q/a69a151d-e8fd-42cd-b8bf-71dbf5c7c59e/</guid>
      <description>“@JTLonsdale Not saying there aren’t exceptions but I’m talking about the existing, largest companies. Those that comprise the Global 2000. They are the source of most of these tokens and revenues to the labs. Their earnings growth has literally zero to do with AI or anything remotely close…” — X</description>
      <pubDate>Thu, 20 Aug 2026 21:10:23 +0000</pubDate>
      <category>ai</category>
    </item>
    <item>
      <title>Palihapitiya reports carriers excluded AI damages from 82% of general liability policies per state regulators</title>
      <link>https://minutesof.com/q/14c37517-64ea-432f-a6a7-746b35d0db25/</link>
      <guid isPermaLink="true">https://minutesof.com/q/14c37517-64ea-432f-a6a7-746b35d0db25/</guid>
      <description>“The insurance industry has priced the AI risk. 

Carriers went to state regulators this year asking to exclude AI-related damages from ordinary general liability policies.   Regulators approved more than 80% of those requests, and the standard forms behind roughly 82% of” — X</description>
      <pubDate>Fri, 14 Aug 2026 19:44:09 +0000</pubDate>
      <category>ai</category>
    </item>
    <item>
      <title>Palihapitiya says major lab zero data retention insufficient for large enterprises</title>
      <link>https://minutesof.com/q/d245d4d4-7dfb-49e5-9b06-4a72a41b54cc/</link>
      <guid isPermaLink="true">https://minutesof.com/q/d245d4d4-7dfb-49e5-9b06-4a72a41b54cc/</guid>
      <description>“@draecomino It doesn’t work in all cases as has been shown. It’s “reasonable best efforts” at best. For big companies this will be a non starter as they learn more.” — X</description>
      <pubDate>Fri, 14 Aug 2026 09:47:35 +0000</pubDate>
      <category>ai</category>
    </item>
    <item>
      <title>Palihapitiya says third-party harness plus model interchangeability changes enterprise risk profile</title>
      <link>https://minutesof.com/q/0c7276ad-b860-4a6b-8b21-3438a7671f4d/</link>
      <guid isPermaLink="true">https://minutesof.com/q/0c7276ad-b860-4a6b-8b21-3438a7671f4d/</guid>
      <description>“This is a really good development. 

As model costs converge, the next likely step will be the use of independent 3rd party harnesses/control planes (8090 Software Factory, Palantir, Nous’ Hermes etc).

A 3rd party harness + the ability to use any model quasi-interchangeably is https://t.co/GtB9aXKN3d” — X</description>
      <pubDate>Fri, 14 Aug 2026 07:17:33 +0000</pubDate>
      <category>ai</category>
    </item>
    <item>
      <title>Palihapitiya contrasts technology people who understand hardware versus shorts operating on non-technical prio</title>
      <link>https://minutesof.com/q/f0eb6f24-16ce-4732-9ddd-b6d6e0e20f6a/</link>
      <guid isPermaLink="true">https://minutesof.com/q/f0eb6f24-16ce-4732-9ddd-b6d6e0e20f6a/</guid>
      <description>“The market is reducing itself to:

Technology people who knows how this stuff works

Vs

Everyone else who has no idea and so gets short because it violates their non-technology priors https://t.co/H4phQiYKDH” — X</description>
      <pubDate>Wed, 12 Aug 2026 08:32:32 +0000</pubDate>
      <category>ai</category>
    </item>
    <item>
      <title>Palihapitiya predicts bottoms-up GTM will be worst strategic decision of past decade as AI stamps out tools</title>
      <link>https://minutesof.com/q/b35fdbcc-db83-4aea-bc84-18770d698783/</link>
      <guid isPermaLink="true">https://minutesof.com/q/b35fdbcc-db83-4aea-bc84-18770d698783/</guid>
      <description>“In a world of agents + harness + application, bottoms up will turn out to be the worst strategic GTM decision of the past decade. 

Over the next few years, AI will stamp out clone after clone of various bottoms up tools, meanwhile this same tool sprawl will be viewed as part of” — X</description>
      <pubDate>Wed, 05 Aug 2026 07:33:38 +0000</pubDate>
      <category>ai</category>
    </item>
    <item>
      <title>Palihapitiya says opposite of Roose, model capability gains fully priced in and cost going to zero</title>
      <link>https://minutesof.com/q/5cd6a725-f9b1-4136-816d-815da16d95f2/</link>
      <guid isPermaLink="true">https://minutesof.com/q/5cd6a725-f9b1-4136-816d-815da16d95f2/</guid>
      <description>“@kevinroose Opposite. 

It’s all priced in. The cost is going to zero. All powers will be unlocked.” — X</description>
      <pubDate>Sun, 02 Aug 2026 09:41:50 +0000</pubDate>
      <category>ai</category>
    </item>
    <item>
      <title>Palihapitiya highlights DeepSeek completing tasks at 105x lower cost than alternatives</title>
      <link>https://minutesof.com/q/1efcba36-7766-42e2-8da8-af5aef0f7848/</link>
      <guid isPermaLink="true">https://minutesof.com/q/1efcba36-7766-42e2-8da8-af5aef0f7848/</guid>
      <description>“Why pay $1 when I can pay $105. 

Said no CFO, CEO or Board Director ever. https://t.co/QoKPFFfORB” — X</description>
      <pubDate>Sat, 01 Aug 2026 21:15:13 +0000</pubDate>
      <category>ai</category>
    </item>
    <item>
      <title>Palihapitiya identifies LPS as fastest path to cash-on-cash returns in AI investing as of August 2026</title>
      <link>https://minutesof.com/q/d4aacb29-793b-4120-8eca-26751edd5f3b/</link>
      <guid isPermaLink="true">https://minutesof.com/q/d4aacb29-793b-4120-8eca-26751edd5f3b/</guid>
      <description>“Here is my AI investing guide.

Sitting here August 2026, my current best thoughts are as follows:

1. LPS (Land Power Shell) is still the most obvious and fastest path to cash on cash returns. Lots of value can be assembled and traded quickly at this layer. And as data centers https://t.co/QSZgT0Gv0S” — X</description>
      <pubDate>Sat, 01 Aug 2026 08:03:48 +0000</pubDate>
      <category>ai</category>
    </item>
  </channel>
</rss>
