<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Short Article on jqknono Blogs</title><link>https://blog.jqknono.com/tags/short-article/</link><description>Recent content in Short Article on jqknono Blogs</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><managingEditor>https://blog.jqknono.com (jqknono)</managingEditor><webMaster>https://blog.jqknono.com (jqknono)</webMaster><lastBuildDate>Mon, 29 Jun 2026 17:40:08 +0800</lastBuildDate><atom:link href="https://blog.jqknono.com/tags/short-article/index.xml" rel="self" type="application/rss+xml"/><item><title>deepseek price increase</title><link>https://blog.jqknono.com/blog/2026/06/29/xhs-6a423d780000000006035532/</link><pubDate>Mon, 29 Jun 2026 17:40:08 +0800</pubDate><author>https://blog.jqknono.com (jqknono)</author><guid>https://blog.jqknono.com/blog/2026/06/29/xhs-6a423d780000000006035532/</guid><description>Price doubled during working hours</description></item><item><title>Share something fun, GitHub account rating</title><link>https://blog.jqknono.com/blog/2026/06/28/xhs-6a40e0cb00000000210099fc/</link><pubDate>Sun, 28 Jun 2026 16:52:27 +0800</pubDate><author>https://blog.jqknono.com (jqknono)</author><guid>https://blog.jqknono.com/blog/2026/06/28/xhs-6a40e0cb00000000210099fc/</guid><description>By default it uses the stepfun model to judge the personal data obtainable from the GitHub API, quite fun &lt;a href="https://githubroast.dev/"&gt;https://githubroast.dev/&lt;/a&gt; #vibecodingfestival[topic]#</description></item><item><title>If Zhipu's stock price falls, where will the money flow?</title><link>https://blog.jqknono.com/blog/2026/06/23/xhs-6a3a1942000000000702b7c1/</link><pubDate>Tue, 23 Jun 2026 13:27:30 +0800</pubDate><author>https://blog.jqknono.com (jqknono)</author><guid>https://blog.jqknono.com/blog/2026/06/23/xhs-6a3a1942000000000702b7c1/</guid><description>Zhipu&amp;rsquo;s model performance is decent, but its engineering capability is limited, and subscription users can feel the service quality. The advantage of glm5.2 is rigorous thinking, at the cost of low token efficiency, leading to a higher overall price. Assuming most users do appreciate well-performing models&amp;hellip;</description></item><item><title>opencode go supports multiple simultaneous subscriptions</title><link>https://blog.jqknono.com/blog/2026/06/18/xhs-6a33a55300000000070227f9/</link><pubDate>Thu, 18 Jun 2026 15:59:15 +0800</pubDate><author>https://blog.jqknono.com (jqknono)</author><guid>https://blog.jqknono.com/blog/2026/06/18/xhs-6a33a55300000000070227f9/</guid><description>Create multiple workspaces, each workspace can subscribe to one go. Workspaces can be created freely. No need to create multiple accounts, unless to take advantage of the $5 deal.</description></item><item><title>What new job opportunities will emerge</title><link>https://blog.jqknono.com/blog/2026/06/15/xhs-6a2f881d00000000070132d4/</link><pubDate>Mon, 15 Jun 2026 13:05:33 +0800</pubDate><author>https://blog.jqknono.com (jqknono)</author><guid>https://blog.jqknono.com/blog/2026/06/15/xhs-6a2f881d00000000070132d4/</guid><description>AI is surging in; let&amp;rsquo;s prepare for the future</description></item><item><title>github copilot's route choice</title><link>https://blog.jqknono.com/blog/2026/06/04/xhs-6a210bf50000000021017f42/</link><pubDate>Thu, 04 Jun 2026 13:24:05 +0800</pubDate><author>https://blog.jqknono.com (jqknono)</author><guid>https://blog.jqknono.com/blog/2026/06/04/xhs-6a210bf50000000021017f42/</guid><description>From February to July last year, copilot was freely usable in vscode insider. During this period, I witnessed the gradual decline of copilot&amp;rsquo;s agent capabilities. Hard to imagine, the first month preview of copilot was actually&amp;hellip;</description></item><item><title>Those worried about being laid off should use AI more</title><link>https://blog.jqknono.com/blog/2026/06/04/xhs-6a2105e60000000006036c9d/</link><pubDate>Thu, 04 Jun 2026 12:58:14 +0800</pubDate><author>https://blog.jqknono.com (jqknono)</author><guid>https://blog.jqknono.com/blog/2026/06/04/xhs-6a2105e60000000006036c9d/</guid><description>Over the past year and a half, some companies overestimated the role of AI and began layoffs. As time went on, companies gradually realized that AI is not as smart or cheap as expected, and began to reduce AI token consumption and slow down layoffs. A very important reason is that AI&amp;hellip;</description></item><item><title>Xiaomi API ranks among the top in LLM cost-performance</title><link>https://blog.jqknono.com/blog/2026/05/28/xhs-6a1843eb0000000007029b88/</link><pubDate>Thu, 28 May 2026 21:32:27 +0800</pubDate><author>https://blog.jqknono.com (jqknono)</author><guid>https://blog.jqknono.com/blog/2026/05/28/xhs-6a1843eb0000000007029b88/</guid><description>Previously posted criticism that mimo-2.5-pro&amp;rsquo;s performance couldn&amp;rsquo;t justify its pricing. Its performance really can&amp;rsquo;t be compared to gpt5.x and opus4.x. It&amp;rsquo;s not that I wanted to compare them, but Xiaomi positioned them as competitors, so I pointed out the obvious gap&amp;hellip;</description></item><item><title>Moderate forgetting benefits model performance</title><link>https://blog.jqknono.com/blog/2026/05/21/xhs-6a0ea7030000000006023968/</link><pubDate>Thu, 21 May 2026 14:32:35 +0800</pubDate><author>https://blog.jqknono.com (jqknono)</author><guid>https://blog.jqknono.com/blog/2026/05/21/xhs-6a0ea7030000000006023968/</guid><description>The GPT-5 series has a high recall rate and can achieve very rigorous logic, making it excellent for debugging. At the same time, it can promptly detect contradictions in the context, offering a unique experience among current models. But recently, in my personal reverse engineering project, I found that GPT&amp;hellip;</description></item><item><title>Does AI-written code have fewer or more bugs</title><link>https://blog.jqknono.com/blog/2026/05/20/xhs-6a0d6bcf000000000803cc55/</link><pubDate>Wed, 20 May 2026 16:07:44 +0800</pubDate><author>https://blog.jqknono.com (jqknono)</author><guid>https://blog.jqknono.com/blog/2026/05/20/xhs-6a0d6bcf000000000803cc55/</guid><description>AI writes code so fast that bugs per line are surely lower, but lines of code explode, and requirements we used to skip get cranked out, so bugs keep growing. Also, AI is unbeatable at finding others&amp;rsquo; bugs, surfacing hidden ones&amp;hellip;</description></item></channel></rss>