<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Task on Artark AI</title><link>https://robertluwang.github.io/artark-ai/tags/task/</link><description>Recent content in Task on Artark AI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Mon, 17 Aug 2026 12:19:27 -0400</lastBuildDate><atom:link href="https://robertluwang.github.io/artark-ai/tags/task/index.xml" rel="self" type="application/rss+xml"/><item><title>Inside Google Spark: How Google's 24/7 Background Agent Actually Works</title><link>https://robertluwang.github.io/artark-ai/posts/2026-08-17-google-spark/</link><pubDate>Mon, 17 Aug 2026 12:19:27 -0400</pubDate><guid>https://robertluwang.github.io/artark-ai/posts/2026-08-17-google-spark/</guid><description>&lt;p&gt;Most interactions with modern AI follow a predictable, reactive cycle: you open a chat interface, type a prompt, wait for a response, copy the output, and close the tab. The moment that session ends, the compute stops, the context clears, and the AI goes dormant until you prompt it again.&lt;/p&gt;
&lt;p&gt;With the launch of &lt;a href="https://gemini.google/overview/agent/spark/"&gt;Gemini Spark&lt;/a&gt;, Google is shifting away from the traditional conversational interface toward persistent, autonomous background execution. Instead of acting as a passive chatbot waiting for human input, Spark operates as an always-on personal agent designed to execute multi-step workflows across your digital environment.&lt;/p&gt;</description></item></channel></rss>