<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Counterfeit Tech on MacWorks</title><link>https://macworks.dev/tags/counterfeit-tech/</link><description>Recent content in Counterfeit Tech on MacWorks</description><generator>Hugo</generator><language>en</language><atom:link href="https://macworks.dev/tags/counterfeit-tech/index.xml" rel="self" type="application/rss+xml"/><item><title>2026-06-07</title><link>https://macworks.dev/docs/week/tech_news_cn/tech-news-cn-2026-06-07/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://macworks.dev/docs/week/tech_news_cn/tech-news-cn-2026-06-07/</guid><description>&lt;h1 id="chinese-tech-daily--2026-06-07"&gt;Chinese Tech Daily — 2026-06-07&lt;a class="anchor" href="#chinese-tech-daily--2026-06-07"&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;Dewu (Poizon) is showcasing its &amp;ldquo;AI Harness&amp;rdquo; architecture at AICon Shanghai, demonstrating how to safely deploy AI-generated code in production recommendation systems. This is a critical development as AI agents move from experimental &amp;ldquo;wild code&amp;rdquo; to highly-controlled, reliable engineering pipelines with robust safety guardrails.&lt;/p&gt;
&lt;h2 id="engineering--dev"&gt;Engineering &amp;amp; Dev&lt;a class="anchor" href="#engineering--dev"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;The transition of AI from labs to production takes center stage as InfoQ highlights an upcoming AICon 2026 presentation on &lt;strong&gt;&lt;a href="https://www.infoq.cn/article/pOwoNlmEL9zV0aodLVB9"&gt;Dewu&amp;rsquo;s AI Harness: From &amp;ldquo;Wild Code&amp;rdquo; to &amp;ldquo;Production by Objective&amp;rdquo;&lt;/a&gt;&lt;/strong&gt;. Dewu&amp;rsquo;s senior technical expert, Bai Zhongwei, will detail a 7-stage guardrail system that ensures AI-written code can be safely integrated into complex recommendation architectures. The system utilizes a hybrid agent architecture consisting of &amp;ldquo;Highways&amp;rdquo; for highly deterministic tasks and &amp;ldquo;ATV&amp;rdquo; modes for dynamic problem-solving, providing a robust model for large-scale AI engineering. On the security front, researchers disclosed a severe &lt;strong&gt;&lt;a href="https://mrxn.net/jswz/fumacrm-Dingding-ProductNewVersion-ProductDetail-sqli.html"&gt;FumaCRM ProductDetail.aspx SQL Injection Vulnerability&lt;/a&gt;&lt;/strong&gt;. The flaw allows unauthenticated remote attackers to steal administrative credentials or inject trojans, stemming from an unfiltered &lt;code&gt;empId&lt;/code&gt; parameter within the application&amp;rsquo;s cookies.&lt;/p&gt;</description></item></channel></rss>