The A.G.I. Manifesto

robot ai apple computer
At the heart of Hendrycks’s paper is the Cattell-Horn-Carroll theory of intelligence, which is one of the more empirically supported and widely —though not universally—accepted theories for understanding human cognition. Photo: Roger Ressmeyer/Corbis/VCG/Getty Images
Ian Krietzberg
October 21, 2025

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For all the investor excitement, industry posturing, and global arms races around “artificial general intelligence”—or true machine intelligence, a nebulous target that would make modern chatbots seem downright primitive—the concept still lacks an agreed-upon definition. So, while scientists debate terminology, the big A.I. companies have volunteered their own criteria for a theoretical benchmark that is largely inseparable from their marketing and funding efforts. OpenAI, for instance, defines A.G.I. as highly autonomous systems that “outperform humans at most economically valuable work.” Anthropic, meanwhile, is working on what it calls “Powerful A.I.,” which it defines, quite simply, as systems that are substantially better than today’s systems. Others, like Meta, are chasing “superintelligence” without any sort of defined finish line.