<?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/b8005fbda583433e93c2bea9fa208153&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/b8005fbda583433e93c2bea9fa208153-9b875a63ebf0e5cd.gif</thumbnail_url><duration>421.766667</duration><title>The San Francisco Consensus AI Timeline</title><description>This Loom explains Eric Schmidt’s “San Francisco consensus,” predicting a rapid acceleration in AI that could replace most programmers within one year. It argues that current systems already generate 10% to 20% of code in research programs and frames the acceleration around recursive self-improvement that compounds at scale. The timeline presented is about one year to reach top graduate level mathematical reasoning, three to five years to achieve general intelligence, and around six years to reach superintelligence or ASI. It also emphasizes major society and infrastructure challenges, including enormous electricity and power requirements and a lack of societal and legal preparedness for intelligence that becomes effectively abundant and free.</description></oembed>