<?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/61e3df4dd160464b9aee58ff5848be7e&quot; frameborder=&quot;0&quot; width=&quot;1150&quot; height=&quot;862&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>862</height><width>1150</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>862</thumbnail_height><thumbnail_width>1150</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/61e3df4dd160464b9aee58ff5848be7e-dcd9b8bcb80107d9.gif</thumbnail_url><duration>1281.941</duration><title>AI Compute Shortages and Synthetic Slop Rise</title><description>This Loom discusses how rapidly advancing AI is changing compute needs, content creation, and trust online. The author claims government agencies including the CIA and NSA need more processing power, and says the White House approved a secret 9 billion dollar emergency fund for federal data centers, noting irony around Anthropic being authorized for use despite earlier “national security supply chain threat” claims. They also cite May 20 and an OpenAI announcement that an internal reasoning model autonomously disproved a 1946 math puzzle, producing a 125 page proof without training on the specific problem. The Loom argues AI is flooding digital spaces with “slop,” and predicts verification layers will be needed to identify AI versus human generated content. It closes by noting privacy concerns and targeted advertising based on extensive user data.</description></oembed>