<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Space Safety on MacWorks</title><link>https://macworks.dev/tags/space-safety/</link><description>Recent content in Space Safety on MacWorks</description><generator>Hugo</generator><language>en</language><atom:link href="https://macworks.dev/tags/space-safety/index.xml" rel="self" type="application/rss+xml"/><item><title>YouTube</title><link>https://macworks.dev/docs/today/youtube-2026-07-31/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://macworks.dev/docs/today/youtube-2026-07-31/</guid><description>&lt;h1 id="youtube--2026-07-31"&gt;YouTube — 2026-07-31&lt;a class="anchor" href="#youtube--2026-07-31"&gt;#&lt;/a&gt;&lt;/h1&gt;
&lt;h2 id="watch-first"&gt;Watch First&lt;a class="anchor" href="#watch-first"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;If you only have time for one video today, watch &lt;strong&gt;&lt;a href="https://www.youtube.com/watch?v=H3Gs4QUHvA4"&gt;149. 亲历中美neo labs资本狂潮，和清华刘子鸣聊：AI for AI、机制可解释性和Max Tegmark&lt;/a&gt;&lt;/strong&gt;. Tsinghua University&amp;rsquo;s Liu Ziming offers an incredibly nerdy, high-level deep dive into the massive capital frenzy currently funding &amp;ldquo;AI for AI&amp;rdquo; Neo Labs, contrasting the wildly differing academic and startup cultures between the US and China. It is a must-watch if you want to understand the bleeding edge of AI model generation and mechanistic interpretability beyond the usual hype.&lt;/p&gt;</description></item></channel></rss>