<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>News on Jake Quist</title><link>https://www.jakequist.com/news/</link><description>Recent content in News on Jake Quist</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 21 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.jakequist.com/news/index.xml" rel="self" type="application/rss+xml"/><item><title>'Cheap Chinese Models' Aren't Cheap</title><link>https://www.jakequist.com/news/cheap-chinese-models-arent-cheap/</link><pubDate>Tue, 21 Jul 2026 00:00:00 +0000</pubDate><guid>https://www.jakequist.com/news/cheap-chinese-models-arent-cheap/</guid><description>&lt;h2 id="motivation"&gt;Motivation&lt;/h2&gt;
&lt;p&gt;I have a small side project in the works: &lt;a href="https://github.com/jakequist/kanjiland-ft"&gt;Kanjiland&lt;/a&gt;. It&amp;rsquo;s a reading
comprehension engine for Japanese language learners. It&amp;rsquo;s a model trained to help
identify the structure of Japanese text. Raw Japanese goes in, structured grammar and annotated furigana
comes out. If you&amp;rsquo;re an intermediate or advanced Japanese language learner, &lt;em&gt;this model is for you™&lt;/em&gt;.&lt;/p&gt;
&lt;p&gt;To train this model, I need more data than just English ⇔ Japanese translations. What I really need is the annotated
grammar and furigana (i.e. the readings of the individual characters). That kind of data doesn&amp;rsquo;t really exist on the
open web. So I decided to distill the training data from the big labs. In other words, I&amp;rsquo;m going to pay the big labs
some amount of money and have their models produce a large dataset that I can use to train my own model.&lt;/p&gt;</description></item><item><title>Where Do IDEs Go From Here?</title><link>https://www.jakequist.com/news/ides-are-for-micromanagers/</link><pubDate>Thu, 12 Mar 2026 00:00:00 +0000</pubDate><guid>https://www.jakequist.com/news/ides-are-for-micromanagers/</guid><description>&lt;p&gt;Remember the time when TUIs and terminal-based apps seemed like silly gimmicks? I would have chortled (yes, chortled) at the thought. Yet, here we are now. TUIs now seem like one of the smartest product decisions Anthropic could have made.&lt;/p&gt;
&lt;p&gt;It&amp;rsquo;s interesting to relect on Cursor vs Anthropic&amp;rsquo;s approach to the coding interface problem. Because 6 months ago, it sure seemed like Cursor was making the right decisions and Anthropic wasn&amp;rsquo;t take AI coding very seriously.&lt;/p&gt;</description></item><item><title>What Happens To Developer Tools After Claude Code?</title><link>https://www.jakequist.com/news/what-happens-to-developer-tools-after-claude-code/</link><pubDate>Thu, 12 Feb 2026 00:00:00 +0000</pubDate><guid>https://www.jakequist.com/news/what-happens-to-developer-tools-after-claude-code/</guid><description>&lt;p&gt;If you&amp;rsquo;re building a developer tool right now, you probably have a launch plan: Post it on Show HN. Grind for GitHub stars. Maybe host a hackathon or two. You know, the standard playbook.&lt;/p&gt;
&lt;p&gt;I suspect this playbook will soon become obsolete. Not because it doesn&amp;rsquo;t work on humans, but because humans are no longer the ones choosing the tools.&lt;/p&gt;
&lt;hr&gt;
&lt;p&gt;It&amp;rsquo;s not that humans have left the loop. A human still decides which tools end up in a project. But increasingly, that decision gets mediated by an AI coding agent.&lt;/p&gt;</description></item><item><title>What Happens When AI Can Write All Your Software?</title><link>https://www.jakequist.com/news/what-happens-when-ai-can-write-all-your-software/</link><pubDate>Thu, 05 Feb 2026 00:00:00 +0000</pubDate><guid>https://www.jakequist.com/news/what-happens-when-ai-can-write-all-your-software/</guid><description>&lt;figure&gt;
 &lt;img
 src="https://www.jakequist.com/news/what-happens-when-ai-can-write-all-your-software/llm_gets_contract_hu_32e1859930cf3682.webp"
 width="500"
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 alt="LLMs winning a contract over human developer"
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 /&gt;
 &lt;/figure&gt;
&lt;p&gt;A few weeks ago, while refactoring some of my old code, I asked an LLM to write a &lt;a href="https://en.wikipedia.org/wiki/Circular_buffer"&gt;RingBuffer&lt;/a&gt; implementation in TypeScript. I&amp;rsquo;ve written these before in other languages. I know the tricky edge cases, especially around concurrency. To my surprise — and mild horror — the LLM wrote it flawlessly. Better than I could have. No feedback necessary. No vibing at all.&lt;/p&gt;
&lt;p&gt;Then I asked it to build something slightly more ambitious: a personal CRM.&lt;/p&gt;</description></item><item><title>Big Tech vs. OpenClaw</title><link>https://www.jakequist.com/news/big-tech-vs-openclaw/</link><pubDate>Wed, 04 Feb 2026 00:00:00 +0000</pubDate><guid>https://www.jakequist.com/news/big-tech-vs-openclaw/</guid><description>&lt;figure&gt;
 &lt;img
 src="https://www.jakequist.com/news/big-tech-vs-openclaw/lobster_vs_gorilla_hu_573b844338d3255b.webp"
 width="500"
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 alt="Lobster vs Gorilla"
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 &lt;/figure&gt;
&lt;p&gt;OpenClaw launched last week. If you haven&amp;rsquo;t tried it yet, it&amp;rsquo;s essentially a way for AI to control your computer on your behalf. You describe what you want done, and it does it—clicking, typing, navigating, the whole thing.&lt;/p&gt;
&lt;p&gt;It&amp;rsquo;s impressive technology. But the most interesting thing about OpenClaw isn&amp;rsquo;t what it can do. It&amp;rsquo;s what it means for the companies that have spent the last fifteen years figuring out how to capture and hold our attention.&lt;/p&gt;</description></item><item><title>OpenClaw is What Apple Intelligence Should Have Been</title><link>https://www.jakequist.com/news/openclaw-is-what-apple-intelligence-should-have-been/</link><pubDate>Wed, 04 Feb 2026 00:00:00 +0000</pubDate><guid>https://www.jakequist.com/news/openclaw-is-what-apple-intelligence-should-have-been/</guid><description>&lt;p&gt;Something strange is happening with Mac Minis. They&amp;rsquo;re selling out everywhere, and it&amp;rsquo;s not because people suddenly need more coffee table computers.&lt;/p&gt;
&lt;p&gt;If you browse Reddit or HN, you&amp;rsquo;ll see the same pattern: people are buying Mac Minis specifically to run AI agents with computer use. They&amp;rsquo;re setting up headless machines whose sole job is to automate their workflows. OpenClaw—the open-source framework that lets you run Claude, GPT-5, or whatever model you want to actually control your computer—has become the killer app for Mac hardware. Not Final Cut. Not Logic. An AI agent that clicks buttons.&lt;/p&gt;</description></item></channel></rss>