<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai Policy on MacWorks</title><link>https://macworks.dev/tags/ai-policy/</link><description>Recent content in Ai Policy on MacWorks</description><generator>Hugo</generator><language>en</language><atom:link href="https://macworks.dev/tags/ai-policy/index.xml" rel="self" type="application/rss+xml"/><item><title>AI@X</title><link>https://macworks.dev/docs/week/ai@x/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://macworks.dev/docs/week/ai@x/</guid><description>&lt;h1 id="aix--week-of-2026-04-04-to-2026-04-10"&gt;AI@X — Week of 2026-04-04 to 2026-04-10&lt;a class="anchor" href="#aix--week-of-2026-04-04-to-2026-04-10"&gt;#&lt;/a&gt;&lt;/h1&gt;
&lt;h2 id="the-buzz"&gt;The Buzz&lt;a class="anchor" href="#the-buzz"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;The defining signal this week is the decisive shift toward the &amp;ldquo;agentic era,&amp;rdquo; where synchronous chatbots are being rapidly replaced by autonomous, long-running background agents deeply embedded into personal and enterprise workflows. Yet, as these systems demonstrate staggering capabilities—inducing &amp;ldquo;AI psychosis&amp;rdquo; among technical professionals—they are simultaneously exposing steep cognitive burdens, unsustainably high operational costs, and mounting friction for the average knowledge worker.&lt;/p&gt;</description></item><item><title>2026-04-05</title><link>https://macworks.dev/docs/archives/ai@x/x-2026-04-05/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://macworks.dev/docs/archives/ai@x/x-2026-04-05/</guid><description>&lt;details&gt;
&lt;summary&gt;Sources&lt;/summary&gt;
&lt;div class="markdown-inner"&gt;
&lt;ul&gt;

&lt;li&gt;&lt;a href="https://twitter.macworks.dev/levie/rss"&gt;Aaron Levie / @levie&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://twitter.macworks.dev/karpathy/rss"&gt;Andrej Karpathy / @karpathy&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://twitter.macworks.dev/AndrewYNg/rss"&gt;Andrew Ng / @AndrewYNg&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://twitter.macworks.dev/AravSrinivas/rss"&gt;Aravind Srinivas / @AravSrinivas&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://twitter.macworks.dev/awnihannun/rss"&gt;Awni Hannun / @awnihannun&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://twitter.macworks.dev/drfeifei/rss"&gt;Fei-Fei Li / @drfeifei&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://twitter.macworks.dev/GaryMarcus/rss"&gt;Gary Marcus / @GaryMarcus&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://twitter.macworks.dev/sama/rss"&gt;Sam Altman / @sama&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://twitter.macworks.dev/Steve_Yegge/rss"&gt;Steve Yegge / @Steve_Yegge&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://twitter.macworks.dev/trq212/rss"&gt;Thariq / @trq212&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;&lt;a href="https://twitter.macworks.dev/ylecun/rss"&gt;Yann LeCun / @ylecun&lt;/a&gt;&lt;/li&gt;

&lt;/ul&gt;
&lt;/div&gt;
&lt;/details&gt;


&lt;h1 id="ai-community-digest-anthropics-policy-push-openclaw-prompt-filtering-and-context-layer-realities--2026-04-05"&gt;AI Community Digest: Anthropic&amp;rsquo;s Policy Push, OpenClaw Prompt Filtering, and Context Layer Realities — 2026-04-05&lt;a class="anchor" href="#ai-community-digest-anthropics-policy-push-openclaw-prompt-filtering-and-context-layer-realities--2026-04-05"&gt;#&lt;/a&gt;&lt;/h1&gt;
&lt;h2 id="highlights"&gt;Highlights&lt;a class="anchor" href="#highlights"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Today&amp;rsquo;s discourse reveals a maturing AI landscape where regulatory maneuvering and enterprise pragmatism are colliding with the limits of frontier models. Major labs are pivoting to formal political influence, developers are pushing back against restrictive prompt-based API billing, and experts are reminding us that achieving true generalization—and implementing AI in highly permissioned corporate environments—requires much more than just scaling up parameter counts.&lt;/p&gt;</description></item></channel></rss>