<?xml version="1.0" encoding="utf-8"?>
<feed xml:lang="en-us" xmlns="http://www.w3.org/2005/Atom"><title>Felipe Antolinez's Weblog: youtube</title><link href="https://antolinez.ch/" rel="alternate"/><link href="https://antolinez.ch/tags/youtube.atom" rel="self"/><id>https://antolinez.ch/</id><updated>2026-02-02T08:34:08+00:00</updated><author><name>Felipe Antolinez</name></author><entry><title>Can humans make AI any better?</title><link href="https://antolinez.ch/2026/Feb/2/welch-labs-bitter-lesson/#atom-tag" rel="alternate"/><published>2026-02-02T08:34:08+00:00</published><updated>2026-02-02T08:34:08+00:00</updated><id>https://antolinez.ch/2026/Feb/2/welch-labs-bitter-lesson/#atom-tag</id><summary type="html">
    
&lt;p&gt;&lt;strong&gt;&lt;a href="https://youtu.be/2hcsmtkSzIw"&gt;Can humans make AI any better?&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;
Another great Welch Labs video about the bitter lesson, contextualizing the recent Dwarkesh interview with Rich Sutton.&lt;/p&gt;
&lt;p&gt;Many people misunderstand the bitter lesson. It's not that some solutions are "past" it while others aren't. It's a ladder of increasingly general approaches to the same problem, with a persistent tradeoff between heuristics that perform well now versus general methods that win in the long term, given enough compute.


    &lt;p&gt;Tags: &lt;a href="https://antolinez.ch/tags/ai"&gt;ai&lt;/a&gt;, &lt;a href="https://antolinez.ch/tags/youtube"&gt;youtube&lt;/a&gt;, &lt;a href="https://antolinez.ch/tags/bitter-lesson"&gt;bitter-lesson&lt;/a&gt;&lt;/p&gt;



</summary><category term="ai"/><category term="youtube"/><category term="bitter-lesson"/></entry></feed>