<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Llm-Pricing on MacWorks</title><link>https://macworks.dev/tags/llm-pricing/</link><description>Recent content in Llm-Pricing on MacWorks</description><generator>Hugo</generator><language>en</language><atom:link href="https://macworks.dev/tags/llm-pricing/index.xml" rel="self" type="application/rss+xml"/><item><title>2026-05-19</title><link>https://macworks.dev/docs/week/simonwillison/simonwillison-2026-05-19/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://macworks.dev/docs/week/simonwillison/simonwillison-2026-05-19/</guid><description>&lt;h1 id="simon-willison--2026-05-19"&gt;Simon Willison — 2026-05-19&lt;a class="anchor" href="#simon-willison--2026-05-19"&gt;#&lt;/a&gt;&lt;/h1&gt;
&lt;h2 id="highlight"&gt;Highlight&lt;a class="anchor" href="#highlight"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Simon&amp;rsquo;s annotated PyCon US 2026 lightning talk provides a sharp, insightful retrospective on the &amp;ldquo;November 2025 inflection point,&amp;rdquo; identifying exactly when coding agents became reliable daily drivers and laptop-grade local models started wildly overperforming. It is a quintessential Willison post that perfectly frames the recent tectonic shifts in AI developer tooling.&lt;/p&gt;
&lt;h2 id="posts"&gt;Posts&lt;a class="anchor" href="#posts"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;[The last six months in LLMs in five minutes]&lt;/strong&gt; · &lt;a href="https://simonwillison.net/2026/May/19/5-minute-llms/#atom-everything"&gt;Source&lt;/a&gt;
Simon shares his annotated slides from a PyCon US 2026 lightning talk summarizing the past six months of LLM developments. He zeroes in on two main themes: coding agents crossing the threshold from &amp;ldquo;often-work&amp;rdquo; to &amp;ldquo;mostly-work&amp;rdquo; driven by Reinforcement Learning from Verifiable Rewards, and the astonishing capability of local models like the 20.9GB Qwen3.6-35B-A3B and Gemma 4. The post also tracks the recent surge of &amp;ldquo;Claws&amp;rdquo; (personal AI assistants running locally on Mac Minis) and features his ongoing &amp;ldquo;pelican riding a bicycle&amp;rdquo; SVG visual benchmark to compare models.&lt;/p&gt;</description></item></channel></rss>