<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Productivity on MacWorks</title><link>https://macworks.dev/tags/productivity/</link><description>Recent content in Productivity on MacWorks</description><generator>Hugo</generator><language>en</language><atom:link href="https://macworks.dev/tags/productivity/index.xml" rel="self" type="application/rss+xml"/><item><title>2026-04-12</title><link>https://macworks.dev/docs/week/tech_news_cn/tech-news-cn-2026-04-12/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://macworks.dev/docs/week/tech_news_cn/tech-news-cn-2026-04-12/</guid><description>&lt;h1 id="chinese-tech-daily--2026-04-12"&gt;Chinese Tech Daily — 2026-04-12&lt;a class="anchor" href="#chinese-tech-daily--2026-04-12"&gt;#&lt;/a&gt;&lt;/h1&gt;
&lt;h2 id="top-story"&gt;Top Story&lt;a class="anchor" href="#top-story"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;DeepSeek, once hailed as the &amp;ldquo;Sweeping Monk&amp;rdquo; of the AI world for its surprise disruptions and ultra-low API pricing, is facing a turning point as it transitions into a stable infrastructure provider. The industry is anxiously awaiting the delayed V4 model, which is reportedly focusing on Long-Term Memory (LTM) and native multimodal capabilities built on domestic AI chips. This shift highlights the broader pressures of commercialization, talent retention, and infrastructure reliability facing China&amp;rsquo;s leading AI labs as they scale.&lt;/p&gt;</description></item></channel></rss>