<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/ac22cd9189944ba592b70a4adbae3896&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/ac22cd9189944ba592b70a4adbae3896-5a14bb35882603d2.gif</thumbnail_url><duration>210.766667</duration><title>AI Jailbreaks, Safety Limits, and Resilience</title><description>This Loom discusses the safety and technical debate around a US government order to Amphropic to suspend its frontier AI models Fable 5 and Mythos 5. It attributes the directive to a report that a user successfully executed a jailbreak, and compares how jailbreaks and prompt chaining can bypass language-based safety filters. The author explains universal versus non-universal jailbreaks and notes Anthropics argument that perfect jailbreak resistance is physically impossible, while Amphropics defense focuses on making universal breaks harder and enforcing strict 30-day user data retention to monitor attacks. The Loom concludes with concerns about “zero tolerance” decisions versus the industry’s risk-management approach and emphasizes building trustworthy, resilient AI.</description></oembed>