<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AGI on AIBriefCentral</title><link>https://aibriefcentral.com/tags/agi/</link><description>Recent content in AGI on AIBriefCentral</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Tue, 24 Mar 2026 16:21:04 +0000</lastBuildDate><atom:link href="https://aibriefcentral.com/tags/agi/index.xml" rel="self" type="application/rss+xml"/><item><title>Nvidia CEO Claims 'We've Achieved AGI' in Landmark Statement</title><link>https://aibriefcentral.com/2026/03/nvidia-ceo-claims-weve-achieved-agi-in-landmark-statement/</link><pubDate>Tue, 24 Mar 2026 16:21:04 +0000</pubDate><guid>https://aibriefcentral.com/2026/03/nvidia-ceo-claims-weve-achieved-agi-in-landmark-statement/</guid><description>What Happened During his appearance on the Lex Fridman podcast this Monday, Nvidia CEO Jensen Huang made a stunning declaration: &amp;ldquo;I think we&amp;rsquo;ve achieved AGI.&amp;rdquo; The comment represents one of the boldest claims about artificial general intelligence from a leader of a major technology company.
AGI, or artificial general intelligence, refers to AI systems that match or exceed human cognitive abilities across all domains. Unlike narrow AI that excels at specific tasks, AGI would theoretically possess human-level reasoning, creativity, and problem-solving capabilities across any field.</description></item><item><title>Anthropic Chief Scientist Warns AI Self-Improvement Could Arrive by 2027</title><link>https://aibriefcentral.com/2026/02/anthropic-chief-scientist-warns-ai-self-improvement-could-arrive-by-2027/</link><pubDate>Wed, 25 Feb 2026 19:41:13 +0000</pubDate><guid>https://aibriefcentral.com/2026/02/anthropic-chief-scientist-warns-ai-self-improvement-could-arrive-by-2027/</guid><description>What Happened Jared Kaplan, who serves as both co-founder and chief science officer at Anthropic (the company behind the Claude AI assistant), issued a stark warning about the approaching timeline for recursive self-improvement (RSI) in artificial intelligence. Speaking as Anthropic&amp;rsquo;s newly appointed &amp;ldquo;Responsible Scaling Officer,&amp;rdquo; Kaplan predicted that between 2027 and 2030, humanity will face a critical decision about whether to allow AI systems to train and develop the next generation of AI without human intervention.</description></item></channel></rss>